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Work on organization’s digital readiness before DX initiatives

It’s no secret that digital transformation is not just a bandwagon but a new norm for today’s businesses. While organizations are appreciating the significance of DX much more adequately than ever before, it’s very often that they perceive such initiatives mostly about technology while overlooking digital readiness.

In reality, technology is just one among 3 pillars of a holistic digital transformation strategy, beside people and process. The incompetence in either pillar could results in under-performance of your initiatives, meaning waste of time, money, effort, not to mention the detrimental effect to decision makers’ reputation.

In this article, we’ll walk you through the most asked questions around the topic of digital readiness at both the individual level (a.k.a. user readiness) and the organizational level as a whole.

Digital Readiness – What does it mean?

Digital Readiness represents the readiness level of both organization and its workforce to transition into digitized workflows that are enabled by new technologies introduced during the digital transformation.

How important is user readiness in the success of a digital transformation initiative?

Rushing to either build or buy software without sufficiently preparing your employees, who will supposedly work with those tools on a daily basis, is just wrong. Indeed, this is one of the most common reasons why only 30% of digital transformation initiatives actually succeed versus 70% of all IT projects.

Aon’s research shows that 84% of participants have listed being agile and change-ready as an important discussing topic on the table of their company. Also, organizations that can identify or create a motivating culture towards changes are 4 times more likely to succeed in their efforts to transform, compared to companies that underestimate this stage.

How can companies assess their readiness for digital transformations?

Assessing your organization’s current status in term of digital capability should be the first and foremost task, prior to setting goals, creating roadmaps or adopting any software.

Apparently, this cannot be done within a rudimentary SWOT analysis or so, but rather requires thorough self-assessment methodologies that are tailored for the organization in question.

While the exact approaches are never the same, most available digital readiness self-assessment tools are making use of questionnaires and interviews that are built upon specific sets of criteria and indicators. After using such methods to collect relevant qualitative and quantitative data, certain analysis, evaluation and benchmarking frameworks will come in place to turn those data into insightful and actionable conclusions.

Let’s take a look at two examples that apply the aforementioned approach and see what you can learn from them.

A/ Digital Readiness Level – DRL tool

DRL tool, first launched in 2018 as a joint effort of several UK organizations, aimed at helping companies to benchmark their readiness and prioritise their DX initiatives and compare their status with other companies of similar size, sector and region.

DRL tool consists of a 1-hour questionnaire, focusing on 3 different pillars namely Leadership, Technology, and Value, along with 10 different competencies, all in all providing a deep understanding about digital status of the company on each of them. The idea can be illustrated through the following framework:

digital readiness level framework

B/ The KRI (Key Readiness Indicators)

In the same vein, the KRI approach is based on a self-assessment tool named “Digital Check” developed by the authors of this research paper. Quite similarly to the DRL tool, the KRI also allows companies, especially SMEs to evaluate their digital readiness level across different dimensions. Those are Strategy, Processes, Industry 4.0, Employees, Information Technology and Data Security, classified as D1, D2, D3, D4, D5 respectively in the following table, that summarizes the combination of interview questions used in KRI:

key readiness indicators approach

What are criteria for digital readiness?

After you have accomplished the assessment process, it would be necessary to reflect to what your ideal digital readiness level looks like, in order to determine next steps.

Again, every company should have its own set of criteria, based on their unique business strategy, expectations and resource capabilities. Even though, the framework below, proposed in the book called Digital Economy. Emerging Technologies and Business Innovation, can give a reference to companies who are attempting to set criteria for their digital transformation projects.

criteria of company's readiness for digital transformation

How to cultivate a change-ready culture in your business?

Everything starts with the process of listening to what the employees think and feel about the incoming digital changes. In other words, it boils down to the concept of “employee empathy”.

At this step, the whole job is very similar to user research and product marketing in product development in general, in which your employees are target users and the future digital transformation initiatives are products.

With that mindset and approach, you can consider these stages to craft the best positioning for your digital transformations in your people’s perspectives:

1. Identify digital readiness at the individual level

It would be ideal if everyone is on a same page towards the upcoming transformations. However, in most of the cases, that scenario doesn’t happen. Instead, employees would have varying reactions and attitudes towards each of changes. This means the better you segment them, the more effective you will be in preparing them before imminent digital changes are in place.

So, the main question should be HOW are you going to proceed with this step of segmentation in the most efficient way possible?

Often, companies would leverage user research methods like interviews, observations, surveys, combining with some kinds of tests to assess employees’ digital proficiency. Whatever approaches you use, the underlying rationale should be robust and convincing. We would recommend you to structure your data collection methods based on the following frameworks:

#1.

This relatively simple matrix looks at 2 dimensions of individuals’ digital readiness, which are attitude and ability. Different levels within each dimension are then paired with each other to make up 3 segments of employees: Full change-ready, Ready but not capable, Capable but not ready, illustrated as below.

individuals' digital readiness assessment matrix

#2.

A more complex approach is referred to by Mercer | Mettl. This digital readiness assessment tool comprises 2 parts: Digital potential assessment & Digital proficiency assessment, that are respectively concerned with future capability and current proficiency of each individual within the organization.

The 1st part thus consists of 2 sub-tools: Mettl Personality Profiler (a kind of personality test to examine people’ behavioral competencies) and Mettl Test for Abstract Reasoning (a non-verbal logic test to assess cognitive ability). These 2 tests would group participants into 9 boxes, corresponding to 9 levels of digital capacity. Whereas, the other part of the tool is a set of 25-30 MCQs that attempts to evaluate people’ digital proficiency based on three subskills: information and data literacy, communication and collaboration, safety. The 3 levels of digital readiness are revealed down the line are Not Ready, Partially Ready and Digitally Ready, summarized in the diagram below.

digital readiness assessment - personality profiler
Source: mettl.com

Whatever tools you use, there are several ground rules to keep in mind during the segmentation process.

DOs
  • Make use of open-ended questions
  • Give your employees time to complete the test and the segmentation process. Nothing of good quality can be done overnight.
  • Show a great willingness/eagerness of listening and understanding what your employees think and feel towards the digital changes
DON’Ts
  • Adopt other companies’ segmentation methods without carefully adjusting and adapting to your own case.
  • Jump into assumptions. E.g, Young millennials employees are not necessarily digital natives by default. Indeed, people who can be considered as digital natives are those who embrace changes, relentlessly seek novelty, and are willing to think and act outside the box.
  • Stay objective and realistic. Sometimes you need to admit the current not-yet-ready-to-change status of your organization, thereby having appropriate strategies to improve this status prior to implement desired digital transformations.

2. How to incentivize employees to develop their digital skillsets and mindset?

Along with organizing relevant trainings, management should understand employees’ mentality and preference to make the most of these efforts. We suggest the top 3 principles that could help increasing the likelihood of employees’ engagement in trainings and digital transformation initiatives as a whole:

  1. No extra-time commitment
  2. Changes and training are concrete and well communicated to all employees and beneficial for their current roles/jobs.
  3. Changes are explicitly associated with specific benefits for employees’ personal and professional growth and ideally their remuneration.

Rounding off

Just like any other kinds of transformations, digital transformations can never done through shortcuts. To transform successfully, your organization needs to be ready from inside out. During these efforts, always put people front and center, adopt technologies for the sake of people, not the other way around. Such thorough preparations take time but would pay off and last long.

We at Enable Startup have a lot of exciting lessons learned, yet-to-be-answered questions and hopefully, advice for your next digital projects! Let’s get in touch at [email protected] if you are interested in DX or any other tech topics.

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    Green innovations around the world and opportunities for Asian green tech startups

    The concepts of green business and green tech startups in particular are not new in the US and especially Europe yet relatively nascent in Asian countries. Despite that disparity in current status quo, the awareness and consciousness of individuals and organizations about climate change and other environmental issues are growing globally, implying that eco-friendly technologies and business models would be a promising land that Asian startups and entrepreneurs should prepare to tap into.

    This article will walk you through interesting insights into this emerging vertical.

    Let’s get started!

    1. What is green tech?

    Definition of green tech

    GREEN TECH (abbreviation of green technology) is an umbrella term that represents the category of technologies that serve the ultimate goal of reducing or reversing negative human impacts on the natural environment. The term green tech is often used interchangeably with “clean tech” or “environmental technology”.

    Green Tech encompasses a wide range of scientific disciplines, including energy, atmospheric science, agriculture, material science, and hydrology.

    Climate change, carbon neutrality, the depletion of natural resources and sustainable development are among the main themes that green tech is currently concerned with.

    Main categories of prevalent green tech approaches

    We can often classify different trends and major approaches of green tech companies and applications into these categories:

    • Energy Efficiency: Sciences and technologies that are applied to facilitate saving power at household level and in industrial workflows
    • Energy distribution and storage: Technologies that boost the performance of processing and storing energy from power systems before converting back to electricity that is ready to use.
    • Transportation: Innovations that help reducing or cutting gas emissions from transportation activities, ultimately contribute to decrease pollution rates. Green transport significantly relies on renewable energy sources such as wind and solar energy, hydroelectric, and biomass, among others.
    • Information and communication Technologies (ICT): This category stands for a set of initiatives that organizations undertake in order to reduce carbon emissions and their carbon footprint produced by their ICT systems. This type often includes dealing with people, processes, and technologies related to the environment. The ultimate goal is to use computing resources efficiently and effectively with minimal or no impact on the environment.
    • Agriculture and Food: Enables climate-smart agriculture and food services. Green technology needs in agricultures fall in these subcategories: energy, water, farming techniques, plant breeding, and forestry. The goal of this concept is to use optimal technologies in order to increase productivity, improve resilience, reduce greenhouse gas emissions, reduce vulnerability to climate change and guarantee more regular access to safe, nutritious food in sufficient quantities.
    • Chemicals and Advanced materials: Focuses on technological know-hows that help reducing the the use of hazardous assets in chemical merchandise or materials.

    2. Why does green tech matter?

    An urgent call from the planet

    It’s no secret that humans’ industrialization and consumerism have been causing alarming pollutions of air, soil, water, putting natural resources and many species on edge.

    Remarkably, food waste and fast fashion make up a large source of greenhouse gas (GHG) emissions to our atmosphere. Precisely, fashion production makes up 10% of humanity’s carbon emissions and is responsible for 20% of total industrial water pollution worldwide. In addition, an estimated one-third of all the food produced in the world goes to waste, which could be enough to feed every undernourished person on the planet. Also, about 6%-8% of all human-caused GHG emissions could be reduced if we stop wasting food.

    an urgent call for green tech startups ideas

    The fact that a lot of people have experienced natural disaster and extreme weather conditions due to humans’ long established capitalism calls for initiatives from individuals and organizations. In such context, green technology appears to be one of the most promising approaches.

    New market opportunities

    Globally, the market size for green technology and green business as a whole was valued at $8.79 billion in 2019, and is projected to reach $48.36 billion by 2027, growing at a compounded annual growth rate (CAGR) of 24.3% from 2020 to 2027. This would mean more potential for entrepreneurs and startups who are conscious about the environment-related issues and wish to contribute to tackling them. The increasing eco-consciousness represents opportunities to pursue both environmental and economic goals without necessitating a trade-off in the pursuit of one for another.

    Similar to the global trend and potential of green technology, Asia Pacific would exhibit a CAGR of 25.6% during 2020-2027, which is probably the highest growth rate comparing to other regions.

    For ASEAN market in particular, a promising signal is that the Asian Development Bank also invested $20M into clean technology venture firms in Southeast Asia in 2011 with the ultimate goal of boosting the green development in the region. Additionally, to improve the renewable energy capacity and revive the pandemic-hit economies, ASEAN governments have laid out an aspirational five-year sustainability plan under the second phase of ASEAN Plan of Action for Energy Cooperation (APAEC) (2021-2025). Under this, ASEAN energy ministers agreed to set a target of 23% share of renewable energy in total primary energy supply in the region and 35% in ASEAN installed power capacity by 2025.

    All in all, these figures imply large opportunities for startups, or companies to grow and thrive on green tech and green business in general.

    Next, let’s delve deeper into different innovative green tech ideas by category that have been developed and achieved certain success in the market.

    3. Innovative green tech ideas out there and implications for Asian startups

    Agriculture and Food

    Too Good To Go

    Too Good To Go is a free smartphone app that help stores and restaurants sell their surplus food through our free smartphone app. When browsing through the app, customers can choose a restaurant or store, order a “magic bag” of surplus goods at a reduced price, then collect it from the store during a pre-set collection window. Since its release in 2016, Too Good To go has created a solid user-base of 7.1 million users, helped saving 99.2 million meals all over the world, and attracted 1200 “waste warriors” fighting food waste together across 17 countries.

    green tech startups - too good to go

    This idea could be absolutely compatible to apply in Southeast Asian countries, given that more than 50% of the total waste in the region is food waste. Besides, consumers’ awareness of the issue is getting better, especially within Millennials and Gen Z.

    Energy Efficiency

    Verdigris Technologies

    This is a cloud-based SaaS platform that leverages AI to help clients optimize their energy consumption. The solution makes use of smart sensors to track energy use in one particular building and then send data to the cloud. These data is aggregated on dedicated analytics dashboards, which display intuitively the energy use status of that building. With these insightful data in place, users can make smarter decisions to optimize energy consuming during peak hours, identify motor problems that could be using excess energy, detect equipment failures before they occur, etc. Leveraging AI, IoT technologies and data analysis, Verdigris Technologies has allowed their customers to reduce their energy spending by 20-50%. It was awarded the “Sustainability product of the year” in the Business Intelligence Group’s 2021 Sustainability Awards program.

    Sensorflow

    Sensorflow is a cleantech startup that focuses on hotel energy efficiency. The platform uses wireless sensors to collect real-time data from hotel rooms, thus automating room temperature according to guest behaviors. These data-driven adjustments have enabled hotels to save up to 30% in energy usage. Last year, they raised $2.7 million USD for business expansion throughout Southeast Asia and globally. By 2022, they hope to have 800,000 smart hotel rooms up and running around the world.

    Energy distribution and storage

    Third Wave Power

    Third Wave Power‘s goal is to empower people around the world by creating portable power solutions. Their renewable energy is useful for fieldwork, emergency backup situations, and outdoor environment, to serve the needs of both rural-urban areas in ways that improve lives and increase productivity. Backed by IoT and solar technologies, their key products consist of solar charging solutions, solar home and outdoor lighting solutions, solar microgrid power, and UV-C solutions. In 2019, the company received a special Sustainability Award for its contribution in energy distribution.

    Information & Communication Technology

    Ecosia

    Google is not necessarily the only option for people when searching for something online. Alternatively, they can turn their searches into something good for the planet by using the search engine Ecosia. Like other search engines, Ecosia’s income is generated by ads. The difference here is that the company spends that income on climate actions, including planting trees, investing in renewable energy, regenerative projects and pro-environmental grassroots movements.

    So far, they have planted nearly 140 million trees in more than 30 countries around the globe and have helped conserving more than 500 native species with 60+ green projects. This was made possible by a user base of 15 million.

    Transportation

    Duckt

    Duckt.app provides the infrastructure to help organizing public spaces, increase safety and security, provide a more sustainable charging solution, all whilst supporting micro-mobility innovations in urban communities. It helps turning cities’ available furniture into a smart charging network. Customers can use their MaaS (Mobility-as-a-Service) app as the best last-mile option to follow the DUCKT locations. Whereas, cities are provided with end-to-end transport solutions comprising plug and play universal as well as IoT charger.

    This idea would be particularly potential for Asian countries, given that 80% of households in Indo, Malaysia, Thailand, Vietnam own motorcycles, which represents a major problem since conventional motorcycles is a major source of air pollution. To combat these problems, United Nations Environment Programme are encouraging drivers to trade in gas-guzzlers for electric motorbikes. This suggests large room for electric transportation and smart charging solutions to thrive. Additionally, since most of ASEAN countries are developing countries, their traffic infrastructure will be subjected to a lot of evolutions in the upcoming years, meaning large opportunities for smart and eco-friendly city solutions to tap into.

    green tech startups product partner

    We’re thrilled to hear what you think about the topic as well as your green tech startup ideas.

    Get in touch with us at [email protected]!

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      How startup failures can be predicted in Product Discovery stage

      If critical thinking and solution seeking are your nature, you might probably be able to come up with new ideas easily and frequently. It’s a gift but sometimes a curse, as between an idea and a successful product is such a long (and in 90% cases, sad) story! Indeed, many startups failed because they were so excited in their initial idea that they overestimated its potential, thus rushing into development without sufficient considerations, preparations, in other words inadequate product discovery.

      In this article, I’ll walk you through some common mistakes and respective lessons learned in retrospect of more than 20 startup projects that I’ve had the chance to work with. This would not intend to be a comprehensive list, but rather a personal pick from my first-hand experience.

      And it’ll be focusing on the very early stage of Product Discovery.

      Let’s get started!

      1. Wrong timing

      product discovery - wrong timing in feature release

      Many product features or product ideas as a whole are just awesome except that they are released too early or too late.

      Talking about timing, I think there are 2 levels that startup founders have to be conscious of and figure out during product discovery: Startup timing and Feature Release timing.

      The first level depends on both objective factors (mostly about product-market fit) and subjective readiness in terms of human, financial, expertise and network resources.

      In this part I’d like to go into more details about the second level – Feature Release timing, since it is what I have more solid experience with.

      This is a fact: A majority of products thrive because they always focus on the right features at the right time, rather than having a bunch of best-in-class features at once.

      Such a right timing and focus are particularly crucial in the early stages because startups have not yet had abundant resources then.

      Now, how to know when is the right time to focus on what?

      In my past consulting projects, I always try to have founders asked themselves these kinds of questions:

      • Which stage is your product at: Proof of Concept, Minimal Viable Product or Official Version 1.0?
      • How many users are you targeting at the present stage? Is this feature noticeable and helpful for them at this level? Let’s say you are building a P2P marketplace for secondhand clothes. At the very beginning when you have only 50 users, is it necessary to elaborate too much the feeds or recommendation features?
      • At the present stage, what kinds of features are most effective to convey your product’s core user goals without complicating user perception and experience?
      • What would be the opportunity costs of developing this feature at this time?

      There exist a number of prioritization frameworks that are really helpful in this decision making. It will take an entire post (or more) to properly analyse them, but below is a quick review:

      • MoSCoW (acronym of Must Have, Should Have, Could Have, Won’t Have this time): suitable for small-sized product projects that have relatively simple interdependences between sub-teams.
      • Kano: based on the effect of a feature to customer perception (To include: Basic, Excitement, Performance; To avoid: Indifferent, Dissatisfaction). This framework is especially relevant when it comes to limited resources or when a wow feature is in need.
      • Walking Skeleton: This method is particularly for PoC and MVP , in which you map out all desired features corresponding to each step in your user flow, in the order of high to low priority, then pick only the minimum combination of features that cover the user flow.
      • RICE (Reach, Impact, Confidence and Effort): This is one of the most comprehensive approach. However it’s more relevant in the later stages of product development rather than for MVP.

      2. Inadequate Prototyping

      Just in case you are not familiar with technical terms, it’s worth distinguishing prototypes and MVPs. There are 2 most important differences:

      1. Prototypes are much sketchier than MVPs and should take you very little time and effort to build;
      2. Prototypes are meant to test different ideas or approaches in order to pick the best one to go, then MVPs are built upon that chosen idea.

      Now, back to the mistake I’m talking about.

      While prototyping is a compulsory step in large product organizations, many startups omit it.

      In most of the cases, the reason is that the non-tech founders do not know about such technique, and their tech team is not strong enough to give advice.

      In other cases, the founders are aware of the prototyping step, but underestimate its importance. By one way or another, I think the root cause is that founders are a bit overconfident about their initial idea and rush to turn it into their dream product with all the beautiful UI and features.

      This is a costly confidence though. Prototypes take you only 1 or maximum 2 weeks to finish with very little resources needed. Production-quality products, even MVPs, require at least 2-3 months and thousands of dollars to delivery.

      More dangerously, after months and dollars poured into this product idea, startup founders often feel that they have gone too far to draw back. In such cases, failure is just the matter of time.

      Remember, you should never rely solely on your gut-feeling when it comes to product idea. The obvious reason is that you don’t build it for yourself but for others. Self-reference criterion should be the 1st trap you have to be aware of not only at the product discovery stage but also during the entire development cycle.

      I sum up below 3 key takeaways about prototyping that you should keep in mind so that hopefully you will never overlook it:

      • Conducting a series of experiments using prototypes will help you test user goals, user usability, technical feasibility and business viability – the 4 factors that make or break your success, in a quickest and most inexpensive way possible.
      • A strong prototype is sometimes just enough for you to present to investors, co-founder candidates or attract talented team members.
      • You should not hesitate to kill your ideas as soon as they are proven to be problematic during the experiments. Remember, to make one big thing you have to have courage to let go a lot of things along the way. Also, the earlier you admit you’re wrong, the more time you can save.
      product discovery - inadequate prototyping mistake

      3. User persona is not articulated and validated

      As you may noticed in the previous part, “user” appears twice among the 4 success criteria of a product. “Do users need the product?” & “Will they love to use it?” are two crucial questions that you should keep in mind not only at the product discovery stage but throughout your entire product development.

      In this respect, a mistake that I often see is that startup teams assume their user persona without validating with thorough user research. In some cases, this step is done even more roughly, that users are defined as a broad group that is almost impossible to figure a realistic person out of it.

      It is therefore tremendously important to define your target users as early and specific as possible, then conduct continuous user research and establish feedback loop with them. During your customer discovery efforts, some of the most common pitfalls that you should try to avoid are talking to the wrong people or talking too much about dream solutions without examining the problems sufficiently.

      For products that are supposed to be used by a company’s employees in digital transformation projects, this task is relatively obvious and convenient. It becomes much more challenging though when it comes to products for public users. In either case, you have to know exactly who they are and try to communicate with them as much as possible.

      4. Founder/ investor-centric instead of user-centric

      As a successive outcome of the mistake mentioned above, when you do not work properly on user persona, it will be likely that your resulted product is meaningful for no one except founders or investors.

      While many teams have to cut down on product backlog because of limited resources, I know a few cases in which founders are encountered with such a pressure of planning new features frequently so that their developers have something to do. This is especially popular in projects that are funded by external investors.

      If this is your case, I believe it’s much wiser to spend your money on user research and usability testing right from product discovery stage, given that a lot of bootstrapping startups can’t do this step properly just because they can’t afford.

      Some fundamental tasks you should take in this regard:

      • Recruit users and set up a robust feedback loop with them right from the product discovery stage
      • Try to collect and process user data to a unified system so that you have quantitative clues for decision making later on
      • Always define and stick to concrete user goals in your every release.

      Bottom line

      You might have known but I’d like to remind a fact: Market and Product Discovery is the very phase that is done very seriously in most of the large product organizations, but often side stepped in early stage startups. I believe this is one of the biggest reasons why 90% (maybe more) startups fail.

      Let me wrap up this series in 3 phrases:

      • timing-is-everything
      • test-before-scale
      • user-centric
      product development partner for startups

      We’re thrilled to know what you think and discuss with you about product development and startup stories. Get in touch with us at [email protected]!

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        Review Digital Transformation trends for SMEs in a post-epidemic context

        Within just a few months, the COVID-19 pandemic had been dramatically changing the way companies, from SMEs to conglomerates, leverage technology to do business. Indeed, the crisis has brought about unprecedented challenges, along with new opportunities, most remarkably people’s increased comfort and appreciation towards digital experience. These changes are all in all picking up the pace towards more holistic digital transformations by several years. According to a McKinsey survey, nearly 65% of participating companies believe that only digital transformation will help them to be economically viable through 2023.

        In this article, we would investigate some of the most prevalent digital transformation trends as per 3 areas: customer experience, employee experience and business operation.

        CUSTOMER EXPERIENCE

        Leveraging data, AI & machine learning to personalize customers’ digital experience at every touch point

        Pre-pandemic, many companies found that their traditional way of doing business was functioning just well and they even believed “customers favor human interaction over robots”. As such, they had few motivations to pour serious effort and investment into digital transformation initiatives that are associated with such a large uncertainty. Suddenly, the lock-down periods came and forced them to think and do the other way around.

        From the customers’ perspective, COVID-19 has shifted the business competition from multi-channels to mostly online. A survey of McKinsey confirmed the customer shift toward digital channels, especially in Asia – where respondents said that at least 80 percent of their customer interactions are now digital in nature.

        In such circumstance, a seamless digital customer experience has become a make-or-break component to brands’ success.

        What’s more interesting is that, these initiatives turned out to prove the efficiency of this fully digital approach and its potential in the long run rather than just a short-term response to the pandemic. Actually, a well-designed digital experience can offer an equivalent or even higher level of personalization, thus satisfaction, comparing to traditional in-person approaches, especially in terms of emotional engagement with customers.

        For example, a clothing brand can leverage Artificial Intelligence (AI) and machine learning to suggest an outfit based on personal preferences. SaaS applications, or dynamic customer databases in particular, can allow businesses to store the history of how your business interacts with customers, thereby analyzing customer preferences and crafting personalized experience upon each customer profile.

        The use of self-service apps in digital selling

        The sanitary crisis with associated safety concerns allows online shopping to come front and center. When in-person direct selling options were suddenly eliminated, firms had to quickly invest to enable a digital infrastructure covering different touch points.

        An easy-to-see example is that brick-and-mortar retailers now offer customers curbside pickup and contactless payment via mobile self-service apps. Restaurants are replacing their print menus with digital web-based menus with interactive features. Service companies are using chatbots to support their customers 24/7.

        Basically, digital transformation to the customer end is happening more holistically than ever before, aiming at providing a consistent and seamless customer experience before, during and after every single purchase. A study done by MIT found that firms that have adopted digital transformation were 26% more profitable than their peers!

        EMPLOYEE EXPERIENCE

        The customer-facing components are not the only ones that have been disrupted by the crisis. The same situation also happened in the area of employee experience, in which a number of digital transformation trends have been emerging.

        Remote workforce management systems and collaboration tools

        The pandemic with massive lockdown and quarantine has stopped the longstanding viewpoint that working is gathering in the same workspace to get the job done. On the other hand, it has promoted the idea bring work to employees, not employees to work.

        Nowadays, post-pandemic, not only big corporates but also SMEs are allowing their employees to work from home and considering to adopt a hybrid working model in the long term. The speed of this transition is remarkable with the facilitation of technologies combining with adequate buy-in from the management. Pre-pandemic, it would take months or even years to build and onboard an IT infrastructure for a teleworking system. During the crisis, it took only 11 days on average to implement an equivalent solution.

        In 2020, we recognized the massive everyday adoption of digital collaboration tools like Zoom, Google Hangout, Google Meet, Microsoft Teams. Furthermore, a lot of organizations have started to invest in building their own custom collaboration tools that cater to their unique needs.

        digital enterprise solution provider and agile team

        Learning management system (LMS)

        For years, there has existed a perennial challenge for firms in filling critical talent gaps while continuously providing high-value, personalized yet cost-effective and scalable trainings for their employees.

        As people’s comfort with digital experience has reached its peak during the social distancing periods, it’s time to tap into the aforementioned pain point with digital learning management systems.

        Learning management systems (LMS) are digital applications for documentation, tracking, reporting, and delivery of educational courses or training programs for employees. It’s ranked as one of the most cost-effective and efficient technologies to improve human resource quality and employee experience as a whole.

        OPERATION

        More comprehensive implementation of cloud computing

        In many cases, the COVID-19 pandemic shed a light on organizations’ lack of back-end digital infrastructure, particularly the inadequate implementation of cloud computing.

        Before any fancy attempts, remember that cloud computing should lie at the heart of your digital transformation strategy, as it provides the launchpad for other initiatives to perform decently. Get the basic right, the rest will follow!

        Making use of IoT, AI, machine learning to optimize operational processes and introduce innovations

        Covid-19 has placed businesses under greater pressure to strengthen their competitive edge. Technologies are thus leveraged not only in order to resolve the social distancing related issues, but also to achieve better operational efficiency and even to create innovations.

        Particularly, fueled by Industry 4.0, machine learning and the Internet of Things (IoTs) help organizations make the most of real-time data to improve operational performance and introduce new services.

        For instance, insurance companies can leverage their database to drive and optimize the pricing policy; manufacturers can analyze the real-time data to predict the necessary maintenance services. A hybrid infrastructure connecting IoT devices to cloud-based systems enables a digital solution platform to enhance the communication between legacy systems and management.

        Obviously, you do not need to be an Airbnb or an Uber with a breakthrough idea. Any organizations could and should seek out opportunities for data-based applications and digital enhancement. For example, purchasing departments can leverage data to identify which suppliers are most reliable for which types of components or materials, thus market developers can introduce new product-as-a-service offerings, having optimized operations through the use of data. The R&D department can also leverage digital simulations to adjust designs and minimize failed prototypes. Also, AI-powered systems can enable human resource departments to analyze and evaluate candidate applications at larger scale with better efficiency.

        Final Thoughts

        The sanitary crisis has inevitably sped up the penetration of digital transformations across industries and created winner-takes-all dynamics in more and more industries. It’s the right time for organizations to make serious investments in technology and digital capabilities in order to be not left behind.

        With first hand experience in tens of digital transformation projects for SMEs in the APAC region, we at Enable Startup have a lot of exciting insights, lessons learned and hopefully, advice for your next digital projects.

        Follow our blogs to catch up on the latest digital transformation trends or get in touch at [email protected]!

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          Is Digital Transformation a Bandwagon or a New Norm for SMEs?

          “At least 40% of all businesses will die in the next 10 years if they don’t figure out how to change their entire company to accommodate new technologies.”

          John Chambers, Cisco

          Indeed, since technology has been changing radically the way individuals live, they expect businesses, as either employers or vendors, to catch up and even lead such changes. As such, digital transformation is no longer a luxury for only big corps or tech startups but has become a necessity for today’s businesses of all shapes and sizes.

          If your business is in very early stages of digital transformation journey, this article would give you a great warm-up.

          Let’s get started!

          digital transformation is a new norm
          Photo by Ross Findon on Unsplash

          What is Digital Transformation?

          Shortly put, digital transformation is a form of business transformation with adoption of technology. This process involves leveraging advantages that technology offers in an efficient, innovative, and cultivating approach.

          4 Main Areas of Digital Transformation

          1. Process Transformation modifying business process elements to achieve new goals.

          e.g. Adopting data analysis and business intelligent tools for data-driven decision making; Automating and moving to cloud admin processes that are formally manual and offline; Implementing an ERP system to improve efficiency of business operations.

          2. Business Model Transformation leveraging new technologies to modify a traditional business model or even generate an entirely new business model to better solve customer pain points.

          e.g. Netflix with their streaming subscription model; Uber with their platform business model; or more partially, Adobe switched their Adobe Creative suite from the desktop version to Adobe Creative Cloud, thus changing their monetization model from upgrade model to subscription model.

          3. Domain Transformation using new technologies to redefine products and services a company offers to the market, thus expanding the industrial domain that it participates. This form of DX is less popular due to the challenges in both seeing the new opportunities and being bold enough to make a move. However, done right, it’d pay off tremendously.

          e.g. Just think of Amazon expanding from online retail to the super successful Amazon Web Services (AWS).

          4. Cultural / Organizational Transformation transforming the people inside the company to adapt to the new technologies. No matter the ultimate missions of your DX attempts are about the operational productivity or consumer experience, your in-house personnel is the first ones who needs to be prepared with sufficient digital literacy, mindset and skillset. Without this fundamental transformation, your later initiatives would likely fail or poorly perform.

          The evolution of digital transformation

          DX did not immediately happen at the holistic level and large scale as it is today. In fact, it has undergone an evolution that increasingly addressed different levels of shared roadblocks within organizations. Having a comprehensive view over these digital transformation levels would give you better ideas on where your business is standing today regarding technology adoption and where you would like to get to in the near future.

          1. Systematic recording

          The switch from paper to electronic record keeping is apparently one of the most basic but effective forms of digital transformation. Instead of spending hours (with superhero memory) looking for some file or piece of data record, with a few clicks or shortcut keys, you can now find it in a couple of seconds.

          2. Systemic collaboration

          Shared information, data and other working materials previously used to be physically transferred from one collaborator to another. Otherwise the collaborators had to sit in one room at the same time. Now, platforms like Slack, Microsoft Teams, Trello, Figma, Jira, etc. provide a virtual workspace where collaborations can be done in real time with team members sitting at wherever they want.

          3. Systemic engagement

          Back in the day, businesses depended largely on traditional radio, newspapers or TV to communicate to their target customers, with the “target” part was barely achieved, given that the audience base of these channels were mostly fixed.

          Data science and algorithms has now radically changed the game. Today’s businesses can leverage real-time online databases and powerful algorithms to reach to the right demographics. To the customer end, this has also helped personalize their experience, giving them exactly what they want with less effort.

          4. Systemic productivity

          Technology is now a means not only for problem solving but also to enhance humans’ capabilities and productivity. Once companies reach unified and seamless digitalization, they will be able to map out optimized workflows and resources, ultimately gaining enormous competitive edge.

          What are the benefits of digital transformation?

          To employees: better productivity, efficiency and collaborating experience

          Your employees would likely be the first ones who are touched by the company’s digital transformation initiatives. Prepared carefully, they would enjoy smarter workflow, smoother communications and collaborations, ultimately better productivity and efficiency. This would not only reward the company but also improve employee satisfaction and facilitate them in personal growth.

          To customers: Better experience and more values

          Customer loyalty is becoming rarer than ever before. Today’s companies are competing on every touch-point of customer experience. Accenture reported that a single point increase in customer experience scores can add millions of dollars to annual growth. To be not left behind, digital transformation is absolutely a must in your strategy. This would enable not only better care to customers but also involving them in shaping your products, services and values, thus establishing really long term customer relationships.

          To the organization as a whole

          Enable data-driven decision making

          Even when your business is performing excellent, you are missing out on enormous opportunities lying in your dark data. Digital transformation would help you make the most of this asset by gathering, processing and analyzing data into insights and forecasts that fuel your decision making.

          data-driven decision making with digital transformation
          Photo by Franki Chamaki on Unsplash
          More efficient and sustainable resource management

          Digital transformation when applied holistically would encompass every area in your organization. Its tools would help integrate formerly disperse resources and assets into a central repository for better control and more business intelligence.

          Greater agility

          If you have ever heard about the agile philosophy in software development teams, you may know that its central idea is about speeding time-to-market and reacting more effectively to changes. The same values could be implanted in whatever kinds of organizations with the facilitation of digital transformation.

          Generate better or new sources of revenue & boost profits

          At the end of the day, bottom line is (almost) all that matters. It is quite obvious though that all the previous benefits are collectively creating pathway to better revenue and profits. According to the SAP Center for Business Insights and Oxford Economics, 80% of businesses reported increased net income after implementing digital transformation, 85% increased their market share.

          What SMEs should know before starting digital transformation initiatives

          Before kick-starting your next digital transformation initiatives, plan it thoroughly to optimize your effort and minimize risks. Below we list down critical steps that you should go through when crafting your own DX strategy and plan.

          Step 1. Ask the right questions

          • Which parts of the business could be improved by adopting new tools?
          • Which parts of the business are performing well enough and should be kept untouched in short term?
          • Which employees could find challenging in adapting to new tools and how could you prepare and train them?
          • How will the digital transformation affect the business’ positioning or brand image in the industry?
          • How will digital transformation affect existing customers?
          • How long will it take for the transition period?
          • How long will it take to have these initiatives produced business values? (time-to-money)
          • Should you build your digital transformation solutions in-house or outsource to professionals?

          Step 2. Team adjustment

          Not everyone is able to adapt to changes swiftly. Hiring a professional to train your team about the new tools, new workflows and best practices could help you speed up the progress. This is where a lot of companies make mistakes — letting the most tech-savvy employee lead digital transformation activities instead of hiring a specialized professional. Read the section below for a more thorough approach on adaptation without ruining the company culture.

          Step 3. Choosing the right tools

          Most of the cases, at the first place there appears to have more than one option to solve your specific problems and achieve your digital transformation goals. You might probably feel lost in questions like: Technology Build or Buy? If you opt to SaaS, then which vendor to go? Otherwise, if you prefer to work with a tech partner, how to find the best match? etc.

          At this point, conducting thorough research and analysis about the available options will be crucial to your decision making. Try to find as many as sources to get information like product reviews, client testimonials. Some reliable review platforms are: G2 for SaaS, Clutch, Goodfirm for software service providers, App Store or Google Play Store if your prospective tools are on mobile.

          Keep in mind, as you might not be right at your first choice, try to find solutions that offer sufficient trial period, or tech partners that offer certain forms of service trial.

          Step 4. Incentivizing the transformation

          Imposing changes without incentives can become reluctant. Providing incentives allows people to look forward to the adaptation since they will be earning something once they are well integrated towards your company’s digital transformation.

          Step 5. Pilot before scaling

          Some companies try to skip the beginner phase of trial and error before scaling. Let’s say if you want to automate your hiring process, test it out with a specific department before applying to the entire organization. Familiarize yourself with Zoom, digital documents, surveys, and viewing introduction videos before going large scale. This is the same with other segments of your company as well.

          Start small to sustainably realize your digital transformation goals

          Instead of investing a fortune in a total digital overhaul right from the beginning, you can start with the following small but impactful initiatives:

          Communication

          Instead of using separate software to communicate with your marketing, sales, IT, HR, admin and other teams, consider doing it in one aggregated platform.

          Collaboration

          Streamline collaboration processes within your teams through platforms that can keep track of your projects throughout phases in real-time, and allow project members to collaborate online in one place.

          Data storage

          Cloud services available today are becoming more and more efficient, secure and user friendly. Moving your data to cloud should be among the first steps you should take to start enjoying other perks that digital transformation could bring about.

          Data analysis

          Making use of data analysis is crucial to scale your business. At the simplest level, let’s say you’ve just made a sale. Now it should never be end of story but rather the beginning. You should go ahead to learn why and how you made that sale, what are implications. Use analytics to find out business intelligences like which demographics, locations, and generally what types of clients are most responsive to your products. For that converted customer, don’t forget to retain them.

          Digital marketing

          The world has changed and a slot on newspaper is definitely not as effective as it once was. Your customers are spending a major part of their everyday living online, follow them!

          Final Thoughts

          To answer the question in title, we would say: Digital Transformation is not a bandwagon but a new norm for all kinds of organizations, SMEs included.

          You should join it as soon as possible, with thorough preparation and thoughtful considerations. It would be great if you have an in-house team that is super digital-savvy (in fact if it is the case, you must be thriving in your DX journey). Otherwise, consider to hire a tech expert to accompany you with strategic advice and practical know-hows.

          Let’s talk if you need any advice from our team of digital specialists at Enable Startup. We have experience in 30+ product development and DX projects with clients in 12 countries.

          Frequently Asked Questions (FAQ)

          What is digital transformation?

          Digital transformation is a form of business transformation with adoption of technology. This process can happen within 4 main areas: Process transformation, Business Model Transformation, Domain Transformation, Culture / Organizational Transformation; and at 4 levels: systematic recording, systemic collaboration, systemic engagement and systemic productivity.

          Why is digital transformation so important?

          Without digital transformation, you are missing out on significant benefits, including: better productivity, efficiency and collaborating experience to employees, Better experience and more values for customers, better decision making capability, agility and ultimately increased profitability.

          Is digital transformation costly? How should SMEs approach DX with minimal risks?

          Digital transformation could be resource intensive in the long run and especially for large-scale organizations. With small and medium firms, it is not necessarily that demanding. You can start with small yet effective initiatives such as adopting a new collaboration tool, implementing digital marketing methods and tools, moving your data to cloud, etc.

            Categories
            News

            Technology Build vs. Buy – Insights into status quo in Vietnam and Asia

            Today’s organizations have almost stopped asking “Should or shouldn’t we have a go for digital transformation (DX)?”. What is for discussion now is rather: “Which approach is the best for our digital transformation solutions?”

            As for some businesses, this is not kind of decisions to make annually but rather quarterly or even monthly, CEOs find themselves on the fence between the famous dilemma of BUILD or BUY.

            Unfortunately, there has never been one-size-fit-all answer to this, especially for business cases in Vietnam and akin countries where DX landscape is relatively nascent with typical attributes such as limited user readiness, cloud readiness or non-standardized operational processes, just to name a few.

            As we cannot remember how many times we saw our clients, partners and friends struggle in that classic dilemma, we decide to put together what we’ve learned from continuous observations as well as from our first-hand experience with a number of DX projects in Vietnam and Japan.

            In this article, we are going to give you some of the most significant insights into the following questions:

            • What are the well-known pros and cons of each option – Buy and Build?
            • What are the two sides of the coin within each argument?
            • Why haven’t SaaS been popular in Vietnam like it is globally?
            • Thus, what should you take into consideration in order to tailoring your own digital transformation solutions?

            Let’s get started!

            1. What they say: “SaaS is the future”

            It sounds a bit overexcited but people saying this indeed have clues.

            Globally, Software as a service (SaaS) is gaining popularity more than ever. According to Statista, the upward trend is illustrated by the fact that organizations worldwide have increased their use of 8 SaaS applications in 2015 to 80 applications in 2020. Notably, SaaS applications make up 70% of these companies’ total software usage in 2020, and it is predicted that this figure will reach 85% by 2025.

            Most well-known reasons for such a huge success of SaaS are lower upfront costs, shorter time-to-value, proven best practices and integration support from vendors.

            Stats in Vietnam market tell a different story though, that only 5-7% of Vietnamese companies adopt SaaS.

            SaaS penetration - Vietnam vs. worldwide

            People often associate this phenomenon with the resistance to change. However, according to our actual experience, we’d like to make it clear that such resistance unnecessarily comes from the decision makers, but in many cases from their employees who are end-users of the systems. In other words, it is the question of User Readiness.

            This situation is understandable given the fact that the majority of existing SaaS solutions are designed based on common operating models, work flow practices and global standards of international or foreign firms. Therefore, Asian employees in their newly emerging markets often find it hard to have sufficient digital literacy levels to meet the entry requirements of these imported solutions. Or sometimes they simply don’t share the same sense and behaviors with what these systems assume. Meanwhile, the Vietnam native SaaS startups are currently few in number and on the way to achieve their product-market fit.

            Apart from that, at the end of C-level people, Cloud Readiness, including data security concerns when implementing Saas solutions are usually raised. To date, it seems that Vietnam has little to no unified act for data protection from unexpected access by third parties. As well, in terms of cybersecurity, the country ranked 50th in the Global Security Index 2018, implying considerable lags comparing to many other markets. All these factors may help explain a decreasing tendency in Vietnam’s cloud readiness index, which keeps going down from 47.9 in 2014 to 43.9 in 2016 and 41.1/100 in 2018.

            2. What they say: SaaS offers attractive perks of network effect and integration support”

            Digital Transformation decision making - SaaS' perks

            SaaS vendors, especially large-scale ones, usually have strong partnerships across various verticals, probably including third party systems that your business is currently implementing. This merit allows them to provide their clients with smooth integrations, thus saving your time and efforts.

            Also, SaaS products are made to serve a wide range of companies. This means once you buy it, you can rely on not only the vendor’s expertise but also from other users’ feedback, reported problems, insights and other tested-and-tried know-hows.

            But remember, available network of users and vendors are meaningful only when they are close to you!

            In other word, these perks are really perks only if those fellow users are similar to you, in terms of digital literacy, operational process, etc. For instance, if you are a Vietnamese SME, you are considering a SaaS whose existing clients are mostly Europe-based with business sizes 5x larger than you. Then there’s little chance that you would benefit anything from their effect network.

            Likewise, supported integrations are only valuable when the 3rd-party systems they partners with are those you are using or plan to use. Since most of companies in Vietnam, especially long-established ones, do not share much common in tech ecosystem with foreign companies, they don’t find these assets attractive.

            3. What they say: Building digital solutions in-house means on-demand customization, full control and unique competitive edge”

            Digital Transformation custom software development

            In the bright side, these custom digital transformation solutions would fulfill you with all features that fit and smoothly adapt to the exact operating model of your business. It enables your employees to quickly become familiar with the software, as this digital option is built specifically for them, catered to their needs and behaviors.

            Possessing your own custom software solutions is thus believed to make your own business unique, compared to other rival firms in the market. In fact, to have optimal software as your company’s core competency is the way to differentiate your models among others and gain a competitive advantage to grow faster.

            Unique digital transformation solutions also distinguish business leaders’ visions. Game-changing leaders are often those who are capable of foreseeing opportunities and taking risks to invest in high-level custom software that directly or indirectly makes up their market competitive edge.

            “But wait, how should we customize our digital transformation solutions? We are completely newbies in this game!”

            Yes, that’s the point. The ideal scenarios above would happen only if you have sufficient DX competencies in house. In the case of many companies in Vietnam and Asia that we have worked with, what they found challenging was not about the budget but available DX know-hows. Obviously they know their current workflows better than anyone else, but they are often not sure how it should look like when made digital. In that sense, they want customizations, but they cannot do it on their own. Besides, attempts to building tech in-house without experience often fall into the trap of underestimating time and money needed.

            All risks considered, what they look to SaaS vendors or external development teams are proven expertise and know-hows to guide them in decision making.

            In addition, too much control from decision makers sometimes backfires.

            As we observed, in-house development teams often encounter situations where they have less to no control or push-back ability against the “scope creep”, e.g. when receiving “on-fire” requests for additional features from upper managers or Head of IT. Such hierarchy of authority sometimes hurts productivity and also hinders worthwhile innovations.

            So, where should we go?

            Again, no one-size-fit-all answer ever exists!

            However, we suggest you to firstly ask yourself two questions:

            1. Are there any viable off-the-shelf digital transformation solution that exists from a reputable vendor, which is relevant to your technology needs and the nature of your business in terms of region, industry, business size, etc.?
            2. Do you have in-house development resources available to build and support the solution in need?

            Once you have determined Yes/No answers to those questions, then try to apply this matrix:

            digital transformation decision making matrix

            The decision making seems to be straightforward in the first 2 cases.

            For the last situation, more freedom to choose might mean better opportunities to have outstanding solutions.

            How about the 3rd scenario?

            This is when “no option” turns out to be optimal outcomes.

            Hiring a tech partner to build tailor-made solutions for your business has its own charisma.

            Without any pre-built design and feature list, this option doesn’t make it hard for you with neither the customization question nor the hidden costs of un/under-used features.

            Talking about autonomy, these external teams are not under the same level of authority power from the client side like an in-house team. This means more capability of giving objective advice and innovative solutions.

            Noticeably, many independent development teams offer rich system integration capabilities, thank to their intensive investment in R&D and their resources from other projects.

            Final thoughts

            • Digital Transformation is relatively new in Vietnam and is subject to a lot of evolutions in upcoming years.
            • It’s risky to apply trends and practices from global markets to businesses in Vietnam and akin countries, since we are much different in decisive factors.
            • Decision making in DX should carefully take into account available resources, short and long term projections.
            • Make-or-break relies a lot on the tech people you work with, either they are your in-house team, 3rd party vendor or independent development team.
            • Last but not least, we only have to choose between “Build or Buy” when considering one specific piece of tech to add. For different systems in the business as a whole, we can definitely Build AND Buy at the same time.

            Let’s get in touch at [email protected] if you are interested in DX or any other tech topics.

            We at Enable Startup have a lot of exciting lessons learned, yet-to-be-answered questions and hopefully, advice for your next digital projects!