DEV Community: Richard Thomas

How to Choose Among Data Modernization Companies in 2026

Richard Thomas — Fri, 16 Oct 2026 09:26:50 +0000

Many businesses collect large amounts of data, but using that data is not always easy. Information may be stored in old databases, scattered files, or different tools that do not work well together. As a result, teams may spend hours preparing reports, correcting records, or searching for information.

Data modernization helps businesses address these problems by improving how data is stored, managed, connected, and used. Since this work can involve several systems and technologies, many businesses look for outside experts to help.

However, choosing among data modernization companies can be challenging. This guide explains what data modernization involves, what to look for in a provider, and a few companies worth researching in 2026.

What Is Data Modernization?

Data modernization means updating older data systems so they can meet current business needs. It may involve moving data to newer platforms, improving data quality, connecting different applications, or making information easier to access.

For example, a company might store customer information in several separate systems. Employees may need to check each system to find the details they need. A modern data setup can help bring this information together and make reporting easier.

The main goal is to help businesses work with reliable information and make better decisions.

Why Are Businesses Modernizing Their Data?

Older data systems can become difficult to maintain as a business grows. They may not support newer tools, handle increasing amounts of information, or provide reports quickly enough.

Modernizing these systems can help businesses:

Improve reporting: Make important information easier to access.

Reduce manual work: Spend less time copying and correcting data.

Improve data quality: Identify missing, outdated, or duplicate records.

Connect business systems: Help different applications share information.

Prepare for AI: Build a more reliable foundation for AI tools and advanced analytics.

The right approach depends on the problems a business wants to solve. Not every company needs to replace its entire data system at once.

What Do Data Modernization Companies Do?

Data modernization companies help businesses improve their existing data systems. Their services often cover several areas.

Data Assessment and Planning

Before making changes, a team reviews the current systems, data sources, and business requirements. This helps identify problems and decide which areas need attention first.

Data Migration

Data migration involves moving information from one system to another. This could mean moving an old database to a newer platform or transferring information to a cloud environment. The process needs careful testing to make sure the data remains complete and accurate.

Data Cleaning and Integration

Businesses often have duplicate records, missing details, or information stored in different formats. Data cleaning improves the quality of those records, while integration helps connect different systems.

Modern Data Platforms

Some projects involve setting up newer databases, data warehouses, or other platforms that make information easier to store and analyze.

Ongoing Support

After modernization, businesses may need help with maintenance, performance, security, and future improvements. It is useful to understand what support a provider offers before starting a project.

Five Data Modernization Companies to Research in 2026

If you are comparing providers, it helps to look at companies with different strengths. The following examples come from the reference list of data modernization companies in India. They offer different services, so the right choice will depend on your project.

1. eSparkBiz

eSparkBiz provides software development, AI, data engineering, cloud, and DevOps services. Its broader engineering capabilities may be relevant to businesses that need to modernize data while also updating connected applications or cloud systems.

Companies considering eSparkBiz should discuss their specific data requirements and confirm that its proposed services match the project's scope.

2. WalkingTree Technologies

WalkingTree Technologies offers data engineering and analytics services, including data integration, pipelines, governance, cloud platforms, and reporting.

Its services may be relevant to businesses dealing with information spread across different systems or struggling with slow reporting. Companies should review its experience with the platforms and data sources involved in their projects.

3. Xebia

Xebia works across data engineering, cloud data platforms, data governance, and real-time data systems. Its capabilities may suit organizations looking to update older data environments and support larger analytics projects.

Businesses considering Xebia should compare its technical expertise, proposed approach, project costs, and experience with similar systems.

4. Datamatics

Datamatics provides data migration, data engineering, governance, data platforms, and analytics services. Its wider technology capabilities may be relevant to organizations managing complex information systems.

Before choosing a provider, businesses should clarify which services are included in the proposed project and how the team will handle data quality, testing, and migration.

5. Polestar Solutions

Polestar Solutions focuses on data, analytics, and business intelligence. Its services may be useful for companies that want to improve reporting, connect business information, and make data easier to use.

Businesses with analytics-focused goals should check whether the company's capabilities match their needs for data preparation, integration, and reporting.

These examples are starting points for research, not a ranking or endorsement. Check each company's current services, portfolio, and client feedback before deciding which providers to shortlist.

How to Choose the Right Data Modernization Company

Once you understand your requirements, compare potential providers using a few practical criteria.

1. Be Clear About Your Goals

Identify the main problems you want to solve. Are reports too slow? Is data spread across multiple systems? Are older databases difficult to maintain?

Clear goals help you explain the project and compare proposals fairly.

2. Check Relevant Experience

Ask for examples of projects similar to yours. Find out which systems the company worked with, what challenges it addressed, and what its team delivered. General claims about technical expertise are less useful than relevant project examples.

3. Ask About Security

Your data may include customer details, financial records, or confidential business information. Ask how the provider controls access, protects data during migration, and tests the new system.

4. Compare Costs and Project Scope

Do not compare providers by price alone. Check what each proposal includes, such as planning, migration, testing, implementation, and ongoing support. Also ask how extra requirements could affect the budget.

5. Understand the Project Plan

Ask how the team will move and test your data, manage unexpected problems, and keep you updated. For larger projects, a phased approach may allow you to test one part of the system before making wider changes.

6. Check Support After Launch

Find out who will handle maintenance, performance issues, and future changes. Also clarify ownership of the data, code, and project documentation.

Common Data Modernization Mistakes to Avoid

A modernization project can become more complicated if important details are overlooked. Avoid these common mistakes:

Starting without clear goals or requirements.
Moving poor-quality data without cleaning it first.
Choosing a provider based only on price.
Making major changes without enough testing.
Ignoring security and access controls.
Forgetting about maintenance after launch.

Planning these areas early can help reduce delays and avoid unnecessary work.

Final Thoughts

Data modernization is not simply about moving information into a newer system. It is about making data more reliable, accessible, and useful for everyday business decisions.

Before choosing a data modernization company, understand your current problems, define your goals, and compare providers based on their experience, services, security practices, costs, and support.

You can start with one database, reporting process, or data pipeline instead of changing everything at once. A clear plan and the right technical partner can help make the work easier to manage.

Read the full guide: Explore Top Data Modernization Companies in India 2026 to learn more about the companies, compare their services, and identify potential partners for your project.

Fintech Software Development in 2026: A Complete Guide for Businesses

Richard Thomas — Fri, 16 Oct 2026 08:06:12 +0000

Money is moving online faster than ever. People pay bills from their phones, businesses accept digital payments, and banks are finding new ways to serve customers. Behind many of these services is fintech software.

If you run a business or plan to launch a financial product, understanding fintech software development is a good place to start. This guide explains what it means, the types of software businesses use, how development works, what affects costs, and how to choose the right development partner.

What Is Fintech Software Development?

Fintech software development means building software for financial services. Fintech is short for financial technology. It includes mobile banking apps, digital payment systems, lending platforms, investment tools, and software that helps businesses manage money.

The goal is to make financial tasks easier, faster, and more accessible. Since these products handle money and personal information, security and reliability must be considered from the beginning.

Why Is Fintech Software Important in 2026?

Customers increasingly expect to manage their finances online. They want convenient payments, clear account information, and quick access to financial services.

Fintech software helps businesses:

Offer convenient digital services to customers.
Reduce manual tasks and avoid common errors.
Automate routine financial processes.
Reach customers through mobile apps and online platforms.
Use data to understand transactions and business performance.

For startups, fintech creates opportunities to develop new financial products. Established businesses can use it to improve existing services and update older systems.

Common Types of Fintech Software

Fintech covers several types of financial products. The right solution depends on the business and the problem it wants to solve.

Payment Apps and Digital Wallets

These applications let users send, receive, and manage money digitally. They are commonly used for online purchases, bill payments, and money transfers.

Digital Banking Platforms

Digital banking software allows customers to check balances, transfer funds, manage cards, and access other banking services through a website or mobile app.

Lending and Credit Platforms

These platforms help users apply for loans, submit information, check eligibility, and manage repayments. They can also help lenders organize applications and assess financial information.

Investment and Wealth Management Tools

These applications help users track investments, manage portfolios, and monitor financial goals. Depending on the product, they may also provide market information and investment tools.

Insurance and Accounting Software

Insurance software can simplify policy management and claims processing. Accounting platforms help businesses track income, expenses, invoices, and other financial records.

Key Features of Good Fintech Software

A successful financial application should be easy to use, reliable, and designed to protect sensitive information.

Security and data protection: Secure login methods, access controls, data encryption, and monitoring can help protect accounts and personal information.

Simple user experience: Clear screens and straightforward steps help users complete payments and other financial tasks without confusion.

Reliable performance: The software should handle transactions accurately and remain dependable when many users access it at once.

System integrations: Many fintech products connect with banks, payment gateways, identity verification services, and other platforms. These connections need to work reliably and securely.

Security and Compliance in Fintech

Financial software must follow the laws and rules that apply to its services and operating locations. Requirements differ between products and countries, so businesses should identify their obligations before development begins.

Important areas to consider include:

Data protection: Keep customer information secure and manage it responsibly.

Identity verification: Confirm user identities when required.

Fraud prevention: Identify unusual transactions and suspicious activity.

Regulatory requirements: Understand the rules that apply to payments, lending, banking, or investment services.

Businesses should consult qualified legal and compliance professionals when planning a financial product. Building these requirements into the project early can help avoid costly changes later.

How Does the Fintech Software Development Process Work?

Fintech development usually follows several stages, from planning to ongoing maintenance.

1. Planning and Research

Define the problem, identify the target users, review similar products, and understand the relevant business and regulatory requirements.

2. Design

Create the screens and user journeys. The aim is to make the product easy to understand and use, particularly when people are handling financial information.

3. Development

Developers build the application and connect the required systems. Working in smaller stages helps teams review progress and make changes earlier.

4. Testing

Test the software for functionality, security, performance, and transaction accuracy. Financial products need careful testing because errors can affect users and their money.

5. Launch and Ongoing Support

After launch, teams monitor performance, fix issues, apply security updates, and improve the product as requirements change.

Technologies and Trends Shaping Fintech

The technology used in a fintech product depends on its purpose, size, and requirements. A few areas are particularly relevant.

Cloud services: Help businesses manage computing resources as their applications grow.

APIs: Allow financial applications to exchange information with banks and other services.

Artificial intelligence: Can support tasks such as fraud detection, customer assistance, and identifying unusual patterns.

Mobile development: Helps businesses provide financial services through smartphones.

Embedded finance: Allows financial services, such as payments or lending, to be included within other digital products.

Businesses should select technologies based on their actual needs rather than adopting every new trend.

What Affects Fintech Software Development Costs?

There is no fixed price for fintech software development. A basic payment application and a complex digital banking platform have very different requirements.

The overall cost usually depends on:

The number and complexity of features.
Security and compliance requirements.
Integrations with banks and third-party services.
The size and experience of the development team.
Testing, maintenance, and ongoing support.

One way to manage costs is to begin with a minimum viable product (MVP). This means developing the essential features first, collecting user feedback, and expanding the product gradually. Security and applicable compliance requirements should still be addressed in the initial version.

Common Challenges in Fintech Development

Businesses should prepare for a few common challenges when building financial software.

Changing regulations: Products may need updates when applicable rules change.

Security risks: Financial applications require ongoing protection and monitoring.

Legacy systems: Connecting new software to older platforms can be complicated.

User trust: Customers need confidence that their money and personal information are being handled safely.

Planning for these challenges early can make development and ongoing maintenance easier to manage.

How to Choose a Fintech Software Development Partner

Some businesses build products with their internal teams, while others work with an external software development company. When comparing potential partners, consider these factors:

Relevant experience: Check whether the team has worked on financial products or similar applications.

Past projects: Review case studies and examples of completed work.

Security practices: Ask how the team handles data protection, testing, and potential risks.

Communication: Understand how project updates, deadlines, and changes will be managed.

Post-launch support: Check what maintenance and technical assistance are available after release.

Compare several companies and review their proposals carefully. A partner should understand your requirements, explain its approach clearly, and be transparent about costs and responsibilities.

Final Thoughts

Fintech software development helps businesses create digital financial services that are convenient, reliable, and secure. However, building a successful product requires more than choosing the right technology. Businesses must also consider user needs, security, compliance, costs, and long-term support.

Start with a clear plan, focus on the features that matter most, and research your development options before making a decision. A careful approach can help you build a financial product that serves users well and can adapt as your business grows.

Read the full article: Explore this guide to Top Fintech Software Development Companies in 2026 to learn about companies offering fintech software development services and explore potential partners for your project.

Top Digital Transformation Companies to Know in 2026

Richard Thomas — Wed, 14 Oct 2026 10:21:38 +0000

Digital transformation helps businesses improve their operations, modernize existing systems, and create better digital experiences. Choosing the right technology partner depends on a company's goals, project requirements, and available resources.

Here are 10 digital transformation companies to know in 2026, each offering different technology services and areas of expertise.

1. eSparkBiz

Headquarters: Ahmedabad, India

eSparkBiz provides software development and technology services to businesses looking to build digital products, improve existing applications, and adopt modern technologies.

Main Areas of Expertise

Custom software and digital product development
AI and machine learning solutions
Web and mobile application development
IT staff augmentation and dedicated development teams

Businesses that need custom software, additional development resources, or support with building digital products can explore eSparkBiz based on their project requirements.

2. Accenture

Accenture provides consulting and technology services to organizations across various industries. It helps businesses improve their operations, adopt new technologies, and manage large-scale transformation initiatives.

Main Areas of Expertise

Digital transformation consulting
Cloud and AI solutions
Software engineering
Business process improvement

Accenture may suit organizations planning large transformation projects that involve technology, business processes, and organizational change.

3. Deloitte Digital

Deloitte Digital combines business consulting, technology, and design to help organizations improve their digital services and customer experiences.

Main Areas of Expertise

Digital strategy and consulting
Customer experience improvement
Digital product and service design
Technology and business transformation

Businesses looking to connect their digital strategy with customer experience and broader business goals may consider Deloitte Digital.

4. Cognizant

Cognizant helps businesses modernize technology systems, develop digital solutions, and improve their day-to-day operations through technology.

Main Areas of Expertise

Digital engineering
Cloud solutions
AI and data services
Application development and modernization

Cognizant can be an option for organizations looking to update existing applications, improve technology processes, or build new digital capabilities.

5. IBM

IBM provides technology products, consulting, and IT services for businesses with complex technology requirements. Its work includes areas such as artificial intelligence, cloud computing, and enterprise systems.

Main Areas of Expertise

AI and data solutions
Hybrid cloud services
IT consulting
Cybersecurity and application modernization

Organizations seeking to modernize enterprise systems, introduce AI solutions, or improve their technology infrastructure may explore IBM's services.

6. Wipro

Wipro offers technology consulting, software engineering, and IT services to businesses across different industries. It supports organizations with technology modernization and ongoing IT operations.

Main Areas of Expertise

Digital transformation
Software engineering
Cloud services
AI, data analytics, and automation

Wipro may be suitable for businesses that need support with software development, application modernization, or managing technology operations.

7. Infosys

Infosys works with organizations to improve business processes and adopt modern technology solutions. Its services cover software development, consulting, cloud technologies, and data-driven applications.

Main Areas of Expertise

Digital consulting
Software development
Cloud solutions
Data analytics and automation Organizations looking to modernize their technology systems and build digital capabilities for long-term growth can consider Infosys.

8. Capgemini

Capgemini provides consulting, engineering, and technology services to businesses worldwide. It helps organizations address technology challenges and develop solutions that support their business objectives.

Main Areas of Expertise

Digital transformation consulting
Software and digital engineering
Cloud services
AI and data solutions

Capgemini may suit businesses that need consulting and engineering support across multiple areas of their technology operations.

9. Tata Consultancy Services (TCS)

Tata Consultancy Services (TCS) is a global IT services company that supports organizations with technology consulting, software development, and IT management.

Main Areas of Expertise

Software development
Cloud services
AI and analytics
IT consulting and managed services

TCS may be worth exploring for organizations that need extensive technology support or are managing large software and transformation projects.

10. HCLTech

HCLTech provides engineering, software, and enterprise technology services to businesses across various industries. It helps organizations develop digital solutions and modernize existing technology environments.

Main Areas of Expertise

Digital engineering
Application modernization
Cloud and AI solutions
Enterprise software and IT services

Businesses that need engineering expertise, want to modernize older applications, or require support with complex technology systems may consider HCLTech.

What Should Businesses Consider When Choosing a Digital Transformation Partner?

Every business has different technology needs, so the right partner will depend on the scope and goals of the project. Before making a decision, businesses should consider a few important factors:

Relevant experience: Look for experience with similar projects, technologies, or industries.

Service capabilities: Check whether the company offers the specific services required.

Team and delivery model: Understand how the project will be managed and what resources will be available.

Communication: Clear communication helps teams manage expectations and address challenges.

Long-term support: Consider whether the company can support future updates, improvements, and changing business needs.

Comparing these factors can help businesses identify a technology partner that aligns with their goals and resources.

Final Thoughts

Digital transformation companies offer a wide range of services, from custom software development to enterprise consulting and technology modernization. The best choice depends on a business's priorities, project complexity, budget, and long-term plans.

Researching each company's capabilities and comparing them with specific project needs can help businesses make a more informed decision.

Read the full article: Top Digital Transformation Companies in 2026