Author: AnkitGupta

Application Transformation Services PEAK Matrix® Assessment 2024 – Europe

Application Transformation Services – Europe

As customers’ needs evolve and businesses strive for greater efficiency, the importance of application transformation has substantially increased for enterprises. Enterprises are actively embracing transformation efforts to fully leverage emerging technologies and transition from outdated legacy systems. Amid ongoing macroeconomic uncertainty, European enterprises are prioritizing application transformation initiatives to unlock business value at every stage of their transformation. Furthermore, there is a persistent emphasis on sustainability, compliance, and regulatory adherence.

In response, service providers are enhancing their offerings through strategic partnerships with technology and platform providers and developing IPs to maximize RoI and gain enterprise confidence. Additionally, they are making substantial investments to expand their regional delivery centers in Europe to strengthen local service delivery and ensure better proximity to customers.

Application Transformation Services

What is in this PEAK Matrix® Report

 In this report, we examine the dynamics of the European application transformation service provider landscape and assess 26 application transformation service providers featured on Everest Group’s Application Transformation Services PEAK Matrix® – Europe. The study will enable buyers to choose the best-fit provider based on their sourcing considerations, while providers will be able to benchmark their performance against each other. 


Contents: 

In this report, we examine:

  • Everest Group’s services PEAK Matrix® evaluation of 26 application transformation service providers
  • The characteristics of Leaders, Major Contenders, and Aspirants in the provider landscape
  • Providers’ key strengths and limitations

Scope:

  • All industries
  • Geography: Europe
  • The assessment is based on Everest Group’s annual RFI process for the calendar year 2023, interactions with leading application transformation service providers, client reference checks, and an ongoing analysis of the application transformation services market

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What is the PEAK Matrix®?

The PEAK Matrix® provides an objective, data-driven assessment of service and technology providers based on their overall capability and market impact across different global services markets, classifying them into three categories: Leaders, Major Contenders, and Aspirants.

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Application Transformation Services PEAK Matrix® Assessment 2024 – North America

Application Transformation Services

Recognizing the increasing demands of customers and business imperatives for meeting productivity mandates, enterprises are increasingly acknowledging the significance of application transformation. To unlock the full potential of emerging technologies, businesses are accelerating their application transformation journeys and migrating away from legacy estates. However, rising macroeconomic uncertainty and cost pressures have led to increased scrutiny of the business value realized from these transformation initiatives.

In response to these evolving expectations, providers are enhancing their offerings through strategic collaborations with technology and platform providers. Additionally, they are actively developing in-house solutions to not only enhance their service capabilities but also to address enterprises’ concerns on value realization. Notably, providers are investing  in strengthening their transformation service portfolio by leveraging next-generation technology themes such as low-code/no-code and generative AI. These initiatives collectively enhance the efficiency and innovation potential of businesses to ensure sustainable growth and competitive positioning in their respective industries.

Application Transformation Services

What is in this PEAK Matrix® Report

In this report, we examine the dynamics of the North American application transformation service provider landscape and assess 28 application transformation service providers featured on Everest Group’s Application Transformation Services PEAK Matrix® – North America. The study will enable buyers to choose the best-fit provider based on their sourcing considerations, while providers will be able to benchmark their performance against each other.
 

In this report, we examine:

  • Everest Group’s services PEAK Matrix® evaluation of 28 application transformation service providers
  • The characteristics of Leaders, Major Contenders, and Aspirants in the provider landscape
  • Providers’ key strengths and limitations 

Scope

  • All industries
  • Geography: North America
  • The assessment is based on Everest Group’s annual RFI process for the calendar year 2023, interactions with leading application transformation service providers, client reference checks, and an ongoing analysis of the application transformation services market

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What is the PEAK Matrix®?

The PEAK Matrix® provides an objective, data-driven assessment of service and technology providers based on their overall capability and market impact across different global services markets, classifying them into three categories: Leaders, Major Contenders, and Aspirants.

LEARN MORE ABOUT Top Service Providers

Low-code Application Development Platforms PEAK Matrix® Assessment 2023

Low-code Application Development Platforms

As 2024 approaches, the low-code application development platforms market experiences robust growth and significant innovation. Organizations across various industries are increasingly embracing low-code solutions to streamline their application development processes and enhance operational agility. This surge in demand has fueled intense competition among platform providers, resulting in a wide range of specialized low-code tools to meet diverse requirements. Low-code technology has firmly integrated into modern application development strategies, enabling organizations to quickly adapt to evolving digital landscapes and customer demands.

Looking ahead, low-code technology’s influence will expand beyond internal applications to include customer-facing solutions and seamless integrations. This strategic expansion coincides with the rise of industry-specific low-code solutions tailored to sectors such as healthcare, finance, and insurance. These solutions feature pre-built templates, industry-specific connectors, and compliance features for simplified adoption. Low-code’s future is marked by accelerated growth, driven by the transformative potential of generative AI, poised to streamline, optimize, and revolutionize the application development process.

Low-code Application Development Platforms

What is in this PEAK Matrix® Report

In this report, we assess 24 low-code technology providers featured on the Low-code Application Development Solutions PEAK Matrix®. Each provider profile offers a comprehensive picture of its service focus, key Intellectual Property (IP) / solutions, domain investments, and case studies.
 

In this report, we feature 24 low-code technology provider profiles and include:

  • A summary dashboard – assessment of market impact and vision and capability
  • Platform providers’ key strengths and limitations

Scope

  • All industries and geographies
  • The assessment is based on Everest Group’s annual RFI process for the calendar year 2023, interactions with leading low-code application development platforms, client reference checks, and an ongoing analysis of the low-code application development services market

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Next-generation Quality Engineering (QE) Services PEAK Matrix® Assessment 2023

Next-generation Quality Engineering (QE) Services 

Enterprises pursuing digital transformation are exploring cutting-edge next-generation technologies to gain a competitive edge, drive business model innovation, and expand their operational capabilities. However, to achieve the desired benefits without disrupting their existing operations, implementing comprehensive Quality Engineering (QE) processes for these next-generation technologies is vital. To assist enterprises in their journey toward quality transformation with the adoption of next-generation technologies, providers are investing in innovation and enhancing their capabilities in areas such as cloud, AI, IoT, blockchain, and extended reality.

Quality Engineering

What is in this PEAK Matrix® Report

In this report, we assess 35 next-generation QE service providers featured on the Next-generation Quality Engineering (QE) Services PEAK Matrix®. Each profile provides a comprehensive picture of the provider’s service focus, key Intellectual Property (IP) / solutions, domain investments, and case studies. The study will enable buyers to choose the best-fit provider based on their sourcing considerations, while providers will be able to benchmark their performance against each other.
 

In this report, we deliver:

  • Everest Group’s services PEAK Matrix® evaluation of 35 QE service providers
  • The characteristics of Leaders, Major Contenders, and Aspirants in the provider landscape
  • Providers’ key strengths and limitations

Scope

  • All industries and geographies
  • The assessment is based on Everest Group’s annual RFI process for calendar year 2023, interactions with leading next-generation QE service providers, client reference checks, and an ongoing analysis of the quality engineering services market

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Quality Engineering (QE) Specialist Services PEAK Matrix® Assessment 2023

Quality Engineering (QE) Specialist Services

In today’s dynamic business landscape, the enterprise technology landscape is rapidly evolving, and software products are taking center stage. The need for faster time-to-market has become imperative, driving frequent releases and the adoption of both shift-left and shift-right approaches. Quality Engineering (QE) now holds heightened importance, as expectations for superior products soar. To support enterprises in their journey toward quality transformation, providers are channeling investments into innovation and enhanced capabilities.

With such objectives, enterprises are looking to partner with providers that can understand their QE goals and suggest solutions that fit within their complex technology ecosystem and processes.

Quality Engineering

What is in this PEAK Matrix® Report

In this report, we assess 24 quality engineering specialist service providers featured on the Quality Engineering (QE) Specialist Services PEAK Matrix®. Each profile provides a comprehensive picture of the provider’s service focus, key Intellectual Property (IP) / solutions, domain investments, and case studies. The study will enable buyers to choose the best-fit specialist provider based on their sourcing considerations, while providers will be able to benchmark their performance against each other.
 

In this report, we examine:

  • Everest Group’s services PEAK Matrix® evaluation of 24 QE specialist service providers
  • Characteristics of Leaders, Major Contenders, and Aspirants in the provider landscape
  • Providers’ key strengths and limitations

Scope:

  • All industries and geographies
  • The assessment is based on Everest Group’s annual RFI process for calendar year 2023, interactions with leading QE specialist service providers, client reference checks, and an ongoing analysis of the QE services market

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What is the PEAK Matrix®?

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LEARN MORE ABOUT Top Service Providers

How to Achieve More from Less: Maximizing the Value of Applications | Webinar

On-DEmand webinar

How to Achieve More from Less: Maximizing the Value of Applications

The macroeconomic environment is pushing enterprises to have more value-centric conversations, both internally and externally. With technology at the core of all business, IT spending is under intense scrutiny, which provokes questions such as: what is the ROI of our investments, are we getting enough value, and how can we make our IT organizations more productive?

Join this webinar as our speakers explore how service providers can help enterprises uncover more value from their IT investments. The webinar will provide insights on key regional demand themes and the impact on offshoring activity and APAC-based delivery.

What questions will the webinar answer for the participants?                                                 

  • What are the levers that will improve productivity?
  • What are the key application spend categories and the top imperatives across run and change?
  • How should enterprises define value from software products and use factors contributing to the cost of building products?

Who should attend?

  • CIOs and CTOs
  • Business leaders
  • Product managers
  • Applications heads
  • IT and technology directors
Madhurima Chopra
Ankit Gupta
Manukrishnan S

ChatGPT – A New Dawn in the Application Development Process? | Blog

ChatGPT, the advanced Artificial Intelligence (AI) chatbot that’s taken the world by storm, can potentially accelerate various stages in the Software Development Lifecycle (SDLC), from gathering requirements to design and testing, and also enhance developers’ productivity, among other benefits. But it still has limitations. Read on to learn more.   

ChatGPT made headlines when it reached 1 million users in just five days after being unveiled in November 2022. Not only was the tech community awed, but it also has interested a wider audience, from students to industry veterans, and attracted more than 100 million users by the end of January 2023.

ChatGPT and other AI chatbots, such as DALL-E, are poised to radically disrupt multiple professions, including education and healthcare. In our ongoing coverage of this trending topic, we’ll explore how these recent developments may rapidly advance the application development process.

What is ChatGPT, and why is it creating major upheaval?

ChatGPT (Chat Generative Pre-Trained Transformer) is a chatbot built by AI firm OpenAI. It is based on Generative Pre-Trained Transformer (GPT-3) architecture, a neural network Machine Learning (ML) model that generates human-like responses to natural language text inputs. Its ability to converse like a human, answer follow-up queries, and reject inappropriate queries makes it more special than its predecessors. Its capabilities include language translation, text summarization, and text generation.

We tried our hands on ChatGPT and asked it to write a blog on itself, and the results amazed us. See the exhibit below for the blog that ChatGPT generated.

Picture1 1

Next, let’s explore in more detail how ChatGPT could be embedded in the Software Development Lifecycle (SDLC) to create applications and the associated benefits.

The avant-garde movement in application development

While low-code/no-code and AI-assisted application development made leaps and bounds in this field, ChatGPT has the potential to step up the game even further. This potent AI tool can be used to accelerate different processes at various phases of the SDLC, leading to faster development cycles, enhanced productivity of developers, and quicker value delivery to enterprises.

Here are the potential benefits of each phase:

Requirements gathering: ChatGPT can significantly simplify the requirements gathering phase by building quick prototypes of complex applications. It also can minimize the risks of miscommunication in the process since the analyst and customer can align on the prototype before proceeding to the build phase

Design: DALL-E, another deep learning model developed by OpenAI to generate digital images from natural language descriptions, can contribute to the design of applications. In addition to providing user interface (UI) templates for common use cases, it also may eventually be deployed to ensure that the design of a given application meets regulatory criteria such as accessibility

Build: ChatGPT has the capability to generate code in different languages. It could be used to supplement developers by writing small components of code, thus enhancing the productivity of developers and software quality. It even can enable citizen developers to write code without the knowledge of programming language

Test: ChatGPT has a major role in the testing phase. It can be used to generate various test cases and to test the application just by giving prompts in natural language. It can be leveraged to fix any vulnerabilities that could be identified through processes such as Dynamic Code Analysis (DCA) and perform chaos testing to simulate worst-case scenarios to test the integrity of the application in a faster and cost-effective way.

Maintenance: ChatGPT can significantly improve First Contact Resolution (FCR) by helping clients with basic queries. In the process, it ensures that issue resolution times are significantly reduced while also freeing up service personnel to focus their attention selectively on more complex cases.

While ChatGPT has an important role to play in automating more cognitive tasks in the SDLC, users must be aware that security and privacy concerns with the current version still need to be properly addressed.

Now let’s cover a few issues with the tool.

 Five possible roadblocks to ChatGPT adoption

  • Privacy and security – Privacy and security are concerns with the current tool. As it learns from each query, keying in any sensitive data would have drastic repercussions on enterprises. Amazon has reportedly warned employees to not put confidential data on ChatGPT, fearing security concerns
  • Limited knowledge – ChatGPT currently is not connected to the internet and has limited knowledge of the world and events after 2021, meaning the code it generates will not be in line with the latest security patches
  • Potential Bias – While OpenAI has added guardrails against bias in responses, users can occasionally get around this by rephrasing their questions or asking the program to ignore its guardrails
  • Inaccurate responses – ChatGPT responds to queries based on the patterns it learned from the training dataset and also can generate fictitious responses that cannot be verified for accuracy. Although the tool is still evolving, inaccuracy in responses can be a major hindrance to its adoption
  • Energy Consumption – As an advanced AI-based tool, ChatGPT takes a huge amount of computing power to process the information, leading to high energy consumption and carbon emissions. With environmental, social, and governance (ESG) becoming a key mandate across geographies, enterprises may be apprehensive about large-scale adoption

The way forward

ChatGPT is seeing rampant adoption among the developer community, and as it gains further traction, enterprises need to ensure suitable governance models are in place. Service providers need to collaborate with tech players like OpenAI and DeepMind to proactively shape the market and build capabilities for efficient application development.

As details unfold on how this technology will revolutionize the application development process, enterprises and service providers need to closely monitor this space and make proactive investments – clearly, the cost of missing out is too great.

For our other recent blogs on how ChatGPT will impact various industry sectors, see Can BFSI Benefit from an Intelligent Conversation Friend in the Long Term and ChatGPT Trends – A Bot’s Perspective on How the Promising Technology will Impact BPS.

We’ll investigate the implications of ChatGPT for the technology services industry in more detail in a follow-up blog.

To discuss how ChatGPT will impact the application development process, please reach out to [email protected], [email protected], or [email protected].

Defining Software Value: Precursor to Successful Investments and Budgeting Decisions

Measuring software value in a standardized way is not easy, but it’s critical to making good investment and budgeting decisions. While defining “value” might be a nebulous concept, our value benchmarking framework can help provide clarity. Learn how to value a software product in this blog.  

How to value a software product 

It has been said a software product’s real value is not defined by the needed functions or required user stories but rather by the performance improvement customers can get from using the product. Stated more simply, value is what the customer really wants and what they are happy to pay for. However, like beauty, value will always be “in the eye of the beholder,” and it tends to be subjective.

Still, finding a tangible way for all business and IT stakeholders to visualize software value to make meaningful investment decisions is imperative. To measure the value delivered by a software product in a standard way, enterprises need to gauge the incremental improvement in efficiency (effort reduction, quality improvement), stakeholder experience (customer, partner, employees), and trust (security, compliance, ethics).

Measuring software value in a standardized manner is an onerous task

Software development is only successful when the value delivered by the product goes beyond the overall investments and helps solve business needs. However, both revenue and investment effort/cost occur over time. While effort or cost is easier to track and forecast, enterprises are still not clear on how to effectively track and measure a software product’s value.

Enterprises face multiple challenges in defining and measuring the tangible value delivered by software products in a standardized manner. This is because of the disparity in multiple aspects like software type, the number of users, type of users (internal versus external), automation extent, the talent required, etc. It becomes increasingly difficult to formulate a framework that can be applied to all these software types while accounting for the different metrics/KPIs used to track value.

Software value and portfolio-level strategy

Though difficult, regularly tracking value is necessary to determine investments. The two most common metrics adopted are revenue impact (for direct value delivered) and incremental brand equity (for indirect value delivered). While revenue forecasting is somewhat difficult, brand equity calculations are even more complex, and enterprises typically use external marketing agencies to measure brand-equity impact.

Every software product also has a north star metric that defines its success and future investments. For example, the north star metric for Netflix is watch time. However, product budgeting decisions are not so simple.

Everest Group has developed a value benchmarking framework based on its work helping a leading enterprise client solve the software product value equation by assessing and building best practices for defining, measuring, and fine-tuning software value, resulting in more efficient investment decisions.

Let’s first understand how product portfolio decisions are made with the help of our value benchmarking framework.

At a portfolio level, products are categorized into core capability, aimed at bringing incremental revenue, and purpose-led products focused on building sustainable relationships. Objectives and Key Results (OKRs) are defined top-down and then product teams define the feature pipeline to meet those OKRs. Product differentiation, value chain (market) presence, and portfolio synergies are evaluated next to understand product value. Some advanced enterprises have started practicing value stream mapping to optimize the effort spent, eliminating non-value-added activities.

But how is the ideation done? Product ideas are derived from four key distinct sources:

  • Coming up with ideas internally and scaling team-level initiatives
  • Capturing trends through partners and market shifts
  • Aligning with the market and capturing CXO inputs
  • Resolving customer pain points

Product value framework

The below graphic can be used to visualize an approach to defining product value. Product viability is a direct measure of whether to invest or not and answers the basic question of Return on Investment (RoI.) If the incremental revenue and positive brand equity impact are tangibly greater than the effort needed, then going ahead with the investment makes sense.

The other dimension, product impact, is the outcome the product delivers in efficiency upliftment, experience improvement, and trust. However, it is worth noticing that impact parameters like efficiency, experience, and trust are used reversibly to make product viability calculations and vice-versa, as indicated in the below graphic by the green bidirectional arrow.

Value Framework Infographic 08 09 2022 Exhibit1 scaled

New-age operational KPIs such as agility index and Digital Maturity Index (DMI) are gaining traction among enterprises to help track efficiency. Experience is increasingly becoming more important in making product decisions, and enterprises leverage user surveys as leading indicators to understand future adoption levels. Tools like Adobe Experience Manager, Sitecore XM, etc., also are gaining popularity to capture experience across product lifecycles. Trust is seen more from a cost-avoidance angle and becomes the foundational design principle for technology companies like Microsoft, Google, Amazon, Salesforce, etc.

Sustainability is again more prominent than ever, and directly relates to positive brand-equity impact. Although these investments don’t bear any short-term direct revenue impact, they help create societal impact that opens up huge long-term revenue opportunities. Examples include Google’s Project Loon, aimed at increasing internet penetration in under-developed countries, and Salesforce’s Philanthropy Cloud, built to address employee engagement in a distributed agile set-up.

Investment strategy and budgeting approaches

The next thing to discuss is how to use forecasted value to identify and make investment decisions. Enterprises are increasingly adopting agile budgeting practices to drive the trifecta of value, collaboration, and risk management. Value streams are used as foundational units to allocate and prioritize funding, helping enterprises to make best-performing and strategic investments.

When making investment decisions, products are categorized based on horizons, as illustrated by the below graphic:

Value Framework Infographic 08 09 2022 Exhibit2 scaled

Participatory budgeting processes maintain a collaborative ecosystem and ensure the following:

  • Alignment across concerned stakeholders before formal budget sign off
  • Right-sized investments with a value-first ideology

Overall, enterprises need to adopt a venture capitalist mindset when funding agile projects. Investments should be staggered with the provision to reallocate funds to the best-performing areas, keeping aside around 10% of the budget for funding mid-year ideas.

The below graphic illustrates the typical annual budgeting cycle:

Value Framework Infographic 08 09 2022 Exhibit3 1 scaled

Following these best practices can help enterprises significantly improve RoI from their software product investments and help them better understand value.

To share your thoughts and discuss our research related to value benchmarking of global software products, please reach out to [email protected], [email protected], or [email protected].

Learn more about defining value in software in our webinar, Is Agile Working? Where Enterprises Are Going Wrong.

 

Selecting the Right Low-code Platform: An Enterprise Guide to Investment Decision Making | Blog

Enterprise adoption of low-code platforms has been invigorated in recent years by its potential to drive digital transformation. This fast-rising platform solution offers promise to democratize programming with today’s talent shortage and help companies develop applications and enhance functionalities faster. While the opportunities are clear, charting a path to successful adoption is ambiguous. Learn the 4Cs approach used by best-in-class enterprises for selecting and adopting the right-fit low-code platforms in this blog.

As many as 60% of new application development engagements consider low-code platforms, according to Everest Group’s recent market study. Driven by the pandemic, the sudden surge in demand for digital transformation accelerated low-code annual market growth to about 25%. Considering its potential, low code is appropriately being called the “Next Cloud.”

Interest by investors also has accelerated, further driving R&D spend for new product development. Funding activities in 2022 to companies featuring low code in their profiles already amounts to $560 million across 40 rounds.

Platform providers are responding to these elevated expectations with equal fervor by building platforms with deep domain-specific expertise, while others are providing process-specific solutions for enterprises’ customization requirements.

While these markets have resulted in a proliferation of low-code platforms to choose from, it also has led to confusion and inefficiencies for enterprises. As more and more enterprises explore the potential of these platforms, IT leaders are faced with numerous questions and concerns such as:

“How do I select the platform that can address my current and future requirements?”

“Which platform will work best in my specific enterprise IT landscape?”

“How can we optimize the investment in this technology?”

“How do I compare the pricing structures of different low-code platforms?”

“How do we ensure governance and security of the IT estate with these new tech assets?”

Adoption journey and evaluation parameters for low-code platforms

In addition to the high-priority use cases that initiate the adoption, enterprises should consider the platform’s scalability potential, talent availability for support and enhancement, and integration with the broader IT landscape to make the right selection.

Additionally, low-code platforms are intended to address the requirements of the IT function as well as business stakeholders. Considering the drivers, expectations, and requirements of both when making the selection is essential. A collaborative decision-making set-up with the central IT team and key Line-of-Business (LoB) leaders is critical for a successful platform selection. Let’s explore the 4Cs to low code success.

4Cs to low code success

The key steps to ensure successful low-code platform selection and adoption are:

  • Contemplate: Initiate platform adoption by a set of high-priority use cases but plan for scalability at the enterprise level during platform selection
  • Collaborate: Bring together the central IT group to lead the selection and adoption effort and meaningfully involve the LoB stakeholders
  • Compare: Start with business and tech drivers, expectations, and requirements from both IT and business to prioritize and rank platforms and select the best-fit platform
  • Customize: Make small and incremental enhancements post-adoption to broaden the platform’s scope without disrupting daily operations

This approach can provide a roadmap for enterprises with distinct outcomes. We have witnessed enterprises either adopting the best-fit approach resulting in a platform portfolio or leveraging a single platform as a foundation for an enterprise-grade innovation engine.

For instance, the Chief Technology Officer (CTO) of a leading bank in the US invested in establishing a low code Center of Excellence (CoE) that uses different platforms for process automation, IT Service Management (ITSM), and enabling point solutions for business users.

On the other hand, a large US commercial insurer built its entire end-to-end multi-country app on a single low-code platform. This comprehensive, business-critical application managing claims, billing, and collection is accessible by all underwriters and service personnel.

Next, we explore how to best compare platforms based on their offerings and capabilities. The tables below illustrate the top five business and technology-oriented parameters to consider when evaluating platforms, along with their relevance and enterprise expectations.

Technology parameters for low-code platform selection

Factors associated with the platform’s technical robustness are of key importance to IT decision-makers. Integration and UI/UX capabilities are at the top of enterprise’s technology priorities when comparing multiple platforms.

For instance, Appian ships with 150-plus Out-of-the-Box (OOTB) connectors. Appian SAIL, a patented UI architecture, takes declarative UI definitions to generate dynamic, interactive, and multi-platform user experiences. It also makes the applications more secure, easy to change, future-proofed, and native on the latest devices.

Picture1

Business parameters for low-code platform selection

Assessing these parameters is important to understand whether low code can be sustained and scaled long-term and if it addresses the business users’ expectations. Pricing and security constructs are at the top of the list for businesses looking to adopt a low-code platform.

Picture2

Let’s consider Salesforce as a case-in-point. Salesforce has security built into every layer of the platform. The infrastructure layer comes with replication, backup, and disaster recovery planning. Network services have encryption in transit and advanced threat detection. The application services layer implements identity, authentication, and user permissions. In addition, frequent product updates that help it to align its product offering with changing market demands put Salesforce as one of the go-to platforms for all the CRM needs of enterprises.

Low-code platform outlook

The plethora of options makes it difficult for enterprises to zero down their investments on a particular low-code platform. Enterprises must also leverage their network of service partners for guidance in this decision-making process.

Talent availability for implementation and enhancement support is critical to keep in mind during the platform selection. For the same reason, multiple system integrators are now taking the route of inorganic growth to bolster their low-code capabilities.

This is the time to hop on the low-code bandwagon and establish low code as the basis for enterprise digital transformation.

Everest Group’s Low-Code Application Development Platforms PEAK Matrix® Assessment 2022 provides an overview of the top 14 platforms based on vision, strategy, and market impact.

To share your thoughts and discuss our research related to low-code platforms, please reach out to [email protected] and [email protected].

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