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The most-asked questions regarding minimum viable product (MVP)

Do you know what successful products like Airbnb, Spotify, and Uber have in common? They were way different from what they look like today. That’s because these products all started with a Minimum Viable Product (MVP) before evolving into their mature versions as we know today.

So, what is MVP? Why does it matter? How to build an MVP? What comes afterwards? Let’s discuss and figure out the answers in this article.

What is MVP?

Eric Ries, who coined the term, defined an MVP as the early version of a new product that allows a development team to collect the maximum amount of validated learning about customers with the least effort.

As thus, a Minimum Viable Product version consists of just enough features to solve the ultimate problem for which the product is born.

The vehicle example below is a classic illustration of the general idea behind the minimum viable product. It’s important to keep in mind that MVP is not delivering an unfinished product (as in the upper illustration), which would confuse users “What am I supposed to do with a tire while what I ordered is a car?“; but rather a simple yet working product that is able to address the most important, basic customer need. For instance, looking at the lower example, the key customer need is moving from A to B faster. Then a skateboard could be the earliest MVP version that fulfills the customer need while allowing the development team to learn and get feedback. Throughout the evolution from the skateboard to the fancy roadster, all the versions of the products, either sketchy or sophisticated, must be functionable.

source: viblo.asia

The MVP approach plays a critical role in agile development as it focuses on time to market first and makes improvements and adjustments later.

What are the main porposes and benefits of building MVP?

The use of MVP allows companies, especially startups, to avoid typical pitfalls and resolve critical challenges during the initial stage of product development.

The first and most common mistake is adding redundant features while losing focus on the questions that really matter. In this respect, MVP approach supports companies to clarify the core functionality of their product while allowing testing business concept with minimum costs and time. By offering the core set of features, rather than a feature-heavy product, companies can verify from very beginning if their product concept resonates with target customers while having opportunities to change product directions and strategies based on gained insights.

Secondly, another common problem with new products when entering market is limited customer understanding. The MVP approach aims to collect feedback from early adopters. These users will tell you which functions they appreciate the most and which should be pending till next releases. With an MVP, companies are empowered to be responsive to constantly changing needs of a fast-paced market, while quickly leveraging the latest technologies. Instagram could be a prime example in this regard, for having successfully leveraged customer intelligence from its MVP versions to change its business model from GPS feature to a photo-sharing application as we know today.

Thirdly, MVP helps increase the speed to market. In such a breakneck pace world today, if you’re not quick enough, there will probably be another company that can release an equally cool app before you. Therefore, by adopting the MVP approach, companies can save a lot of time possibly wasted on low-prioritized features or expensive bug fixes.

The last but not the least is economic benefits. An MVP could help prevent the product from becoming costly, over-complicated with sophisticated coding, UI effects and features. Besides, several businesses rely on investor buy-in to secure funding. In such cases, an MVP is an effective way to demonstrate the product’s potential to win the market before investors, without building a bunch right from beginning.

What comes after a minimum viable product?

By moving along with the project, companies may have several MVPs, each corrected based on customer insights. At the end of this process, companies should have accumulated enough MVPs. They thus manage to figure out the basic set of features that customers are ready to pay for. The version built on this basic set is called Minimal Marketable Product (MMP). An MMP should allow companies to launch their product early at a cost that is lower than which required for a full version. This is a bright strategy to make certain return on investment while further developing and upgrading.

After having MVP and MMP, which focus on fundamental elements, companies might start to develop a Minimum Lovable Product (MLP). It should be an abridged version of what you’re planning by offering not barely basic functionality but also some features that are unique and more enjoyable. An MLP should include attributes that create emotions and make users want to share. Emotion is hugely influential, especially in overcrowded markets, it can be a deciding factor.

What are the differences between MVP & prototype?

Prototype is a prior stage of an MVP. If MVP is a basic but working version, a prototype is the first draft with probably errors or bugs. It is, actually, an early attempt to visualize the working idea, including design and functionalities, to validate the user interface (UI) and user experience (UX). Prototypes don’t aim to be launched but just tested in a small scope with limited and selected users.

What are the main steps of building an MVP?

The process of MVP development generally includes 6 stages.

Step 1: Define problem and scope

Like any product development methodology, it always starts with determining target customers and their concrete problems that the future product wishes to solve. The “scope” here means the aspects of the problem that your product will focus on and which solutions could be feasible given your available resources.

Step 2: Conduct market research

Market research helps ensure that your product idea fulfills the needs of potential users. The more insights you have, the higher your chance of success is.

The market research phase also helps to learn about existing competitors and what they offer. Such learnings will help you to confirm your product’s differentiations – if they are strong enough to convince people to choose your product over other alternatives?

Step 3: Prototype potential solution

The design process is a crucial stage. You may need to look at your product from user perspective to create a smooth user experience. A product prototype allows you to simulate the user experience to make necessary changes before jumping into coding.

Fun fact: Steve Jobs avoided the stage of prototyping while building the Apple Lisa. As a result, this product was a catastrophe and unprofitable.

Step 3: Prototype potential solution

The design process is a crucial stage. You may need to look at your product from user perspective to create a smooth user experience. A product prototype allows you to simulate the user experience to make necessary changes before jumping into coding.

Fun fact: Steve Jobs avoided the stage of prototyping while building the Apple Lisa. As a result, this product was a catastrophe and unprofitable.

Step 4: Define a list of features

Feedback loop plays a vital role in MVP development, and you should start working on it right after showing the first prototype to your focus group. Based on collected feedback, you can have ideas to prioritize features for the next MVP release.

Step 5: Build and launch MVP

Once you have decided upon feature prioritization, it’s time to build your first MVP. Keep in mind that although an MVP needn’t to be a brilliant product, it still needs to be able to fulfill the key customer needs as defined in Step 1 and validated in Step 2. Also, it should be engaging, easy to use and straight to the point so that users can complete an expected user story in the most convenient way possible.

Step 6: Build, Measure, and Learn

Feedback collecting shouldn’t end when the MVP development starts. You should iterate again and again based on user feedback.

How to define features to include in an MVP?

There are varying methods to define features to be prioritized in MVP. Below we are going to introduce three of the most commonly used frameworks, including: MoSCOW, Story Mapping, and Kano.

MoSCoW

MoSCoW is a straightforward method of prioritizing features that categories features into 4 groups in order of priority.

source: productplan.com

Story Mapping

Similar to MoSCoW, Story Mapping also considers the feature prioritization but under each activity of User Journey. This method enables a broader perspective while addressing more granular features than the privious method.

The top most significant features that cover the entire user journey are designated as the Walking Skeleton and have to be included in the MVP.

Kano

Kano method maps the satisfaction against effort and money in order to classify features into four groups, as following:

  • Basic features: include features that customers usually take for granted. Those are minimum acceptance criteria for the product, the “price of entry” to the market. Any poor execution of basic features can lead to immediate dissatisfaction, while improved execution can result only in neutral satisfaction.
  • Neutral (Indifferent) features: are those that don’t add much value, and customers don’t care whether those features are present or absent. Their satisfaction level remains neutral under either circumstance. You certainly do not want to invest in their implementation.
  • Performance features: includes attributes that differentiate products from others and directly correlate to customer satisfaction.
  • Delighter features: are novel features that create unique selling points and encourage users to share with their surroundings.

How much resource does it take to build an MVP?

The development cost varies depending on different factors, like core functionality of the MVP, the developer’s location, the amount of features, MVP complexity, time constraints. However, in general, key influential factors can be classified into three groups: time, money and human resource.

Time: To make long story short, from our experience working with various startups at Enable Startup, we would say 3 to 5 months to build an MVP on average.

Money: Development cost for an average good-quality MVP depends largely on the country of the developer. Check below a rough estimate for different regions.

source: intelivita.com

Human Resource: Depending on specific requirements of each project, the company can decide to build an internal developer team or outsource to external agencies or freelancers. Regarding team structure, fundamental expertise includes front-end/back-end development, UX-UI design, QA and product or project management. The number and seniority of each expertise depend on the complexity of the MVP and will contribute considerably to the ultimate cost.

MVP development partner

What are famous success stories of adopting MVP approaches?

A number of well-known applications started small with MVPs first and adopted extensive but expensive features later on over the years.

Airbnb is a prime example of concierge MVPs. With no money to build a business at their early days, the founders of Airbnb decided to use their apartment to validate their idea of creating an online marketplace that offers short-term rental housing. This MVP was not as fancy as its current look, but rather a minimalist interface with photos and general info about their property. The two founders found several paying guests almost immediately. After launching the MVP, Airbnb continuously collected feedback and learned from customers to improve its products. Currently, Airbnb provides extensive features, such as Airbnb adventures which allow customers to connect with local guides and explore local culture.

Dropbox is also one of the best cases of leveraging MVP. It was firstly introduced by its founders in a demo video. This video went viral and now become one of the biggest cloud services in the world.

MVP is meant for start-ups, not established enterprises, isn’t it?

No, it is a misconception. Actually, large enterprises also use this approach quite often.

MVP approach is widely applied in the early stage of digital transformation, when organizations almost building their IT infrustructure from scratch. MVP development in this case is much similar to which happens in startups. The biggest difference is that unlike startup MVPs, enterprises often implement multiple MVPs that are different parts of an entire system.

It is also well leveraged to enhance mature products. Typically, the MVP method is useful when introducing a mobile app version of an existing web-based application. For example, in 2010, after their first three years in the market, Dropbox started trickling out their mobile app MVP instead of waiting until being ready to launch a full-feature product.

In addition, MVP can be effective in validating user perception toward future features or when considering the integration of new features with an established product, such as integrating payment gateways with an e-com website.

Bonus: HBR has four other tips for launching MVPs in big companies.

Rounding off

MVP is an approach that empowers startups to effiently discover their target users, without overspending resources. MVP does not have to be perfect, as Reid Hoffman, co-founder of LinkedIn, said: “If you are not embarrassed by your first product, you launched too late.”

Let’s meet at [email protected] to discuss further about MVPs and much more. We at Enable Startup have a lot of exciting lessons learned, yet-to-be-answered questions and hopefully, advice for your next sofware development projects!

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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.