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Designing Fintech Apps for Low-Connectivity and Low-Literacy Users 

We’ve all been there: a slow Wi-Fi signal, a complex app with tiny text, or a frustrating password reset process. For billions of people around the world, these aren’t just minor inconveniences—they’re everyday barriers to accessing essential financial services. 

As we design the next generation of fintech, we have a profound opportunity to make a real difference. It’s about more than just building a flashy app; it’s about creating tools that empower people who have been left behind by the digital revolution. This means stepping into their shoes and understanding what true accessibility looks like. 

Here’s how we can build fintech that works for everyone: 

1. Acknowledge the Reality of Connectivity 

  • Offline First Mode: Apps can store key information locally on the user’s phone. For example, a user can start a money transfer to a saved contact even without a signal. The app would show a “Pending” status and then automatically complete the transaction the moment a connection is re-established. 
  • Data-Saving Features: The app can have a “lite mode” that turns off high-resolution images and videos. You can also compress data transfers so that every megabyte counts. This makes the app faster and cheaper to use for people on expensive data plans. 
  • Minimalist UI: The user interface should be simple and not require lots of information to be loaded. This means fewer images, simpler layouts, and text-based lists that load quickly. 

2. Listen, Don’t Just Look 

  • Voice-Guided Navigation: The app can use audio cues to guide the user. For instance, when the user opens the app, a voice could say, “Welcome back. Your balance is…” and then offer options like, “Say ‘Send Money’ or ‘Pay Bill’ to continue.” This makes the app usable without needing to read anything at all. 
  • Audio Confirmation: After a user makes a selection, a voice can confirm it. “You have selected ‘Send Money.’ Now please enter the amount.” This reduces errors and makes the user feel more confident in their actions. 
  • Simple Icons with Audio Descriptions: When a user taps an icon, a small audio description can play. Tapping a picture of a wallet could trigger the sound, “This is your account balance.” This links the visual to an audio cue, which is great for people learning to use the app. 

3. Simplicity is Our Superpower 

  • One-Tap Actions: Simplify common tasks to a single tap. If a user always sends money to their family on the 1st of the month, the app could have a “Repeat Transfer” button on the home screen that takes care of it with one press. 
  • Limited Screens and Clear Flow: Avoid buried menus and complex paths. The most important actions should be on the main screen. The flow for any task, like sending money, should be a simple, straight line with few steps. 
  • Large, Clear Buttons: Use large buttons with high contrast to make them easy to see and tap. The text on the buttons should be simple and direct, such as “Pay” or “Receive.” 

4. Make Security Personal 

  • Biometric Login: Instead of a password, a user can log in with their fingerprint or a face scan. This is more secure and far easier for a user who may struggle to remember a complex password. 
  • Voice-Based Authentication: For voice-enabled apps, a user’s unique voiceprint can be used to confirm their identity. A simple phrase like, “My voice is my password,” can be used to log in. 
  • Photo or Avatar-Based Security: For people with very low literacy, a picture can be used to identify a saved recipient for a payment. Instead of reading a name, they can tap on a photo of their friend or family member to send them money. 

Designing for these users isn’t just a good thing to do—it’s the smart thing to do. By creating technology that is truly inclusive, we can unlock potential, build trust, and help a new generation of people take control of their financial lives. This is the future of fintech, and it’s a human one. 

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The Financial Risks of Sticking with Outdated Banking Technology 

In an era where technology continually reshapes how we live and work, the banking industry is no exception. Yet, many banks still rely on outdated systems, hoping to avoid the complexity and cost of change. While it might feel easier to stick with what’s familiar, the financial risks of holding onto old banking technology are growing—and they’re hard to ignore. 

  
One critical example of innovative technology reshaping the sector is the Enterprise Collateral and Limit Management System (ECLMS)—a modern solution designed to streamline and secure collateral management and credit limits across institutions. 
 

Why Outdated Technology Costs More Than You Think 

At first glance, using legacy systems might seem like a cost-saving move because it avoids the upfront expense of an upgrade. But the reality is different. According to Deloitte, banks can end up spending as much as 70% of their IT budgets just to maintain their older systems. That means less money is left for improving services or adopting new technology that customers expect today.  
 
The hidden cost? Inefficiencies, slower processes, and mistakes that can hurt both the bank and its customers. 

Security Risks: A Growing Threat to Banks 

Security isn’t just a buzzword; it’s a lifeline. Old software and aging infrastructure often have gaps in protection that hackers love to exploit. IBM Security’s 2023 report showed that banks using outdated technology are facing data breaches costing roughly $6.5 million per incident—almost double the cost for those with modern security setups. And it’s not just money at stake. A data breach can absolutely wreck a bank’s reputation and shake customer confidence, making recovery tough and expensive. 

Trouble Meeting Regulations 

The financial world is heavily regulated for good reasons. Banks have to follow strict rules about how they handle data, prevent fraud, and report suspicious activity. But older systems aren’t always designed to keep up with changing laws, like the European Union’s GDPR. Banks that can’t update their systems quickly risk big fines and legal headaches. The EU has already handed out fines totaling over €1 billion related in part to outdated compliance systems. 

Losing Customers to More Agile Competitors 

Today’s bank customers are more digitally savvy than ever. They want fast, easy access to their money and personalized services on their phones. According to McKinsey, more than half (56%) of banking customers globally prefer digital-only banks—which tend to have the newest technology. Banks stuck on old platforms run the risk of watching their customers go elsewhere for a better experience. 

But It’s Not Always Easy to Change 

Of course, shifting away from legacy technology isn’t simple. Smaller banks may not have the resources or expertise to make big tech investments quickly. Migration projects can be complex and sometimes disruptive. Still, many technology experts agree that the long-term cost of doing nothing usually outweighs the short-term challenges of upgrading. 

The Bottom Line 

The truth is, outdated banking technology isn’t just an inconvenience; it’s a financial liability. Between high maintenance costs, growing cybersecurity threats, regulatory risks, and the expectations of today’s customers, clinging to old systems could put a bank’s survival at risk. For banks looking to stay competitive and secure, embracing modern technology like ECLMS isn’t just smart—it’s essential. ECLMS offers a comprehensive, agile platform for managing collateral and credit limits efficiently, ensuring compliance, reducing risk, and enhancing customer trust in a digital-first world. 

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How Mobile Apps Are Helping Rural India with Banking 

Mobile apps in Banking

In India, more than 65% of people live in rural areas where banking is hard to access. There are few banks, low knowledge about money matters, and long distances to travel. But mobile apps are changing this. They’re bringing banking to rural India in an easy way. As a fintech app development company, we’re excited to share how mobile apps are making a big difference. 

Why Banking Is Tough in Rural India 

Rural areas face many problems with banking: 

  • Few Banks: Many villages don’t have bank branches or ATMs. 
  • Low Money Knowledge: People often don’t know how banking works. 
  • Far Locations: Traveling to a bank takes time and money. 
  • Paperwork Issues: Many lack ID papers needed to open accounts. 

These issues keep people away from banking. Mobile apps are solving this problem. 

How Mobile Apps Are Helping 

Mobile apps make banking simple for rural people. With cheap smartphones and internet (over 900 million users in India by 2024), apps are reaching everyone.

Here’s how they help: 

1. Banking on Your Phone 

Apps let people bank from home. No need to visit a bank. You can open accounts, send money, or get loans using apps like Google Pay, PhonePe, or new banking apps. 

2. Easy Account Opening 

Apps use Aadhaar and digital KYC to make account opening simple. People can use their fingerprint or a quick video call to start banking, even without many documents. 

3. Apps in Local Languages 

Apps are made for rural users. They use local languages and voice instructions. This helps people who can’t read or write well. Apps like Paytm and BHIM work in many Indian languages. 

4. Small Loans for Everyone 

Apps help rural people get small loans. They check data like phone usage or small payments to decide if someone can borrow money. This helps farmers, shopkeepers, and women start businesses. 

5. Learning About Money 

Apps teach users about saving, investing, and avoiding scams. They have simple guides and chatbots to explain things. For example, apps like Zerodha’s Coin teach about mutual funds. 

6. Cashless Payments with UPI 

UPI apps like BHIM and Paytm let people pay or receive money instantly. Rural shops and farmers now use digital payments, which helps them join the modern economy. 

Apps Making a Difference 

Some popular apps are changing rural banking: 

  • BHIM: A government app for fast UPI payments. 
  • Paytm Payments Bank: Offers accounts with no minimum balance. 
  • Fino Payments Bank: Works with local agents to bring banking to villages. 
  • YONO by SBI: Combines banking, loans, and insurance in one app. 

These apps have helped millions of rural people start banking. 

How Our Fintech Company Helps 

At SmitApps technologies, we build software’s to make banking easy for rural India. 
 
Our software’s are: 

  • Safe: Strong security to protect your money. 
  • Big Reach: Made for millions of users. 
  • Easy to Use: Designed for people with little education. 
  • Smart: Use AI and biometrics for better service. 

We work with banks and finance companies to create apps that help rural users. 

What’s Next? 

The future of rural banking is bright with mobile apps. As 5G and smartphones grow, more people will use these apps. New tech like AI chatbots and blockchain will make banking even better. 

At SmitApps Technologies, we’re ready to help. We build apps that make banking simple, safe, and open to all. 

Conclusion 

Mobile apps are changing lives in rural India. They make banking easy, help people save, and grow their businesses. As a fintech app development company, we’re proud to build apps that bring banking to everyone. 

Want to create an app that changes lives?  
 
Contact SmitApps Technologies today! 

1

Data Migration in Software Modernization: Balancing Automation and Developer Expertise 

Data Migration in Software Modernization

Whether it’s transitioning to cloud-native platforms, adopting microservices, or upgrading legacy systems, modernization unlocks scalability, performance, and agility. At the heart of this transformation lies data migration—the critical process of transferring data from outdated systems to modern environments. However, data migration is fraught with challenges, from data loss risks to compatibility issues. To succeed, organizations must strike a careful balance between automation and developer expertise
 
Why Data Migration Matters in Modernization 

Data is the lifeblood of any organization and migrating it during software modernization ensures business continuity and operational success. Whether moving customer records to a new CRM, shifting transactional data to a cloud database, or consolidating siloed datasets, data migration bridges the gap between legacy and modern systems. 

Legacy systems, often built on monolithic architectures or proprietary formats, present unique hurdles. Data may be poorly documented, stored in incompatible formats, or tied to outdated databases. These complexities make migration a high-stakes process, where mistakes can lead to costly downtime, data corruption, or compliance violations. A well-executed migration strategy is essential to avoid these pitfalls. 

The Power of Automation in Data Migration 

Automation is a game-changer for data migration, offering speed, consistency, and scalability. Modern tools like AWS Database Migration Service, Google Cloud Data Transfer, or Apache NiFi streamline key tasks, including: 

  • Data Extraction: Automatically pulling data from legacy systems, even those with complex or proprietary formats. 
  • Transformation: Mapping and converting data to fit the target system’s schema. 
  • Loading: Transferring data to the new environment with minimal disruption. 
  • Validation: Running automated checks to ensure data integrity and accuracy. 

By automating repetitive tasks, these tools reduce manual effort and human error while accelerating timelines. For instance, schema mapping tools can align data structures in minutes, and ETL (Extract, Transform, Load) pipelines efficiently handle large datasets. In scenarios with standardized data formats or high volumes, automation is indispensable, allowing teams to focus on strategic priorities. 

However, automation has its limits. Legacy systems often harbor undocumented quirks, inconsistent data, or unique business rules that automated tools struggle to interpret. This is where developer expertise becomes critical. 

The Essential Role of Developer Expertise 

While automation excels at scale, developers bring the problem-solving skills, domain knowledge, and adaptability needed to tackle complex migration challenges. Their expertise is vital in areas where automation falls short: 

  • Decoding Legacy Systems: Many legacy systems lack documentation or rely on custom configurations. Developers can reverse-engineer these systems to ensure accurate data extraction. 
  • Managing Edge Cases: Anomalies like corrupted data, inconsistent formats, or unique business logic require custom solutions. Developers can write scripts or logic to handle these exceptions. 
  • Ensuring Compliance: Regulations like GDPR, HIPAA, or CCPA demand careful data handling. Developers implement encryption, anonymization, or audit trails to meet compliance requirements. 
  • Optimizing Performance: Developers fine-tune migration processes, such as optimizing queries or batching data transfers, to minimize downtime and ensure smooth operations. 

Striking the Right Balance: A Hybrid Approach 

The most effective data migration strategies combine automation’s efficiency with developer expertise. Here’s how organizations can achieve this balance: 

  1. Conduct a Thorough Assessment: Start by analyzing the legacy system, target environment, data volume, and potential risks. This helps determine which tasks are suited for automation and which require developer intervention. 
  1. Automate Repetitive Tasks: Use tools to handle high-volume, predictable tasks like schema mapping, data extraction, and validation. This maximizes efficiency and frees up developers for complex challenges. 
  1. Empower Developers for Customization: Provide developers with the tools and flexibility to address edge cases, compliance needs, and performance optimizations. Foster collaboration between developers and data engineers to refine automated pipelines. 
  1. Implement Rigorous Testing: Use automated tests for broad validation and developer-led checks for edge cases to ensure data integrity and compliance. 
  1. Adopt an Iterative Approach: Start with a pilot phase to identify issues early. Monitor performance metrics and adjust the process as needed. 
  1. Document Everything: Maintain detailed records of the migration process, including custom scripts and configurations, to support future migrations and knowledge sharing. 

A Real-World Example 

Consider a retail company migrating its customer database from a 15-year-old on-premises system to a cloud-based CRM. Automation tools efficiently handled 90% of the migration, mapping standard fields like names, emails, and purchase histories. However, the legacy system included custom fields unique to the business, which automation couldn’t process. Developers analyzed the data, wrote custom transformation logic, and validated the results, ensuring a seamless migration with zero data loss and minimal downtime. 

Looking Ahead 

Data migration is a critical component of software modernization, and success hinges on balancing automation with developer expertise. Automation drives efficiency and scale, while developers provide the insight and flexibility needed to navigate complexities. By adopting a hybrid approach—leveraging tools for repetitive tasks and developers for nuanced challenges—organizations can minimize risks, ensure compliance, and achieve a smooth transition. 

As you embark on your next modernization journey, consider how your team balances automation and expertise in data migration.  
 
 

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Sr. Java Developer

We are seeking a highly skilled and experienced Senior Java Developer with 5 to
7 years of proven experience in designing, developing, and implementing robust and scalable
enterprise-level applications. The ideal candidate will have in-depth knowledge and hands-on
experience with the Spring Boot framework, microservices architecture, and a strong
understanding of the software development lifecycle. You will play a crucial role in leading
development initiatives, mentoring junior developers, and ensuring the delivery of high-quality
software solutions.

Key Responsibilities:
• Design, develop, and maintain high-performance, scalable, and secure Java
applications using Spring Boot.
• Lead the development and implementation of new features, modules, and
enhancements.
• Collaborate with product owners, architects, and other stakeholders to understand
requirements and translate them into technical specifications.
• Develop and consume RESTful APIs and microservices.
• Write clean, well-documented, and testable code following best practices and design
patterns.
• Participate in code reviews to ensure code quality, maintainability, and adherence to
coding standards.
• Troubleshoot, debug, and resolve complex technical issues and production incidents.
• Contribute to the entire software development lifecycle, from conception to deployment
and maintenance.
• Mentor and guide junior developers, sharing knowledge and promoting best practices.
• Stay updated with emerging technologies and industry trends to recommend and
implement innovative solutions.
• Work effectively in an Agile/Scrum development environment.
Required Skills and Experience:
• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5-7 years of professional experience as a Java Developer.
• Strong expertise in Java 8+ and object-oriented programming (OOP) principles.
• Extensive hands-on experience with Spring Boot framework, including Spring MVC,
Spring Data JPA, Spring Security, etc.
• Proven experience in developing and deploying microservices.
• Solid understanding of RESTful API design and development.
• Experience with relational databases (e.g., PostgreSQL, MySQL, Oracle) and ORM
frameworks (e.g., Hibernate, JPA).
• Proficiency with build tools like Maven or Gradle.
• Experience with version control systems (e.g., Git).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
• Knowledge of message queues (e.g., Kafka, RabbitMQ) is a plus.
• Experience with front-end technologies (e.g., Angular, React) is a plus.
• Strong analytical, problem-solving, and debugging skills.
• Excellent communication, teamwork, and interpersonal skills.
• Ability to work independently and as part of a team in a fast-paced environment.
Preferred Qualifications (Nice to Have):
• Experience with containerization technologies (Docker, Kubernetes).
• Familiarity with CI/CD pipelines.
• Experience with test-driven development (TDD) and unit testing frameworks (JUnit,
Mockito).
• Knowledge of NoSQL databases (e.g., MongoDB, Cassandra).
• Experience with performance tuning and optimization.

2

Building a Successful Crowdfunding Software: Key Steps

Developing a robust crowdfunding platform requires a strategic approach. To begin with one needs to set the requirements in place to define features like user registration, campaign management, payment processing, and social sharing. Ensure a secure architecture by integrating SSL encryption, secure payment gateways, and role-based access control to protect user data and transactions. 

Next, focus on scalable development, using microservices and cloud infrastructure to handle varying loads. UX/UI design is crucial for user engagement; create an intuitive interface that simplifies campaign creation and donation processes. 

Implement automated testing for functionality and security, ensuring a bug-free experience. Integrate analytics tools to track campaign performance and user behavior, providing insights for continuous improvement. 

Finally, prepare for regulatory compliance, including GDPR and local financial regulations, to safeguard both the platform and its users. Continuous maintenance and updates will keep the software secure and relevant in the dynamic crowdfunding landscape. 
 
Check out this Case Study  where we worked to build a crowdfunding for Isha Foundation’s project ‘Kauveri Calling’. Understand the process that Fermion designed to achieve the numbers and make it scalable. 

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Elevate Customer Engagement: 5 Innovative Strategies to Spark Conversations about Your Product or Website!

Ready to make a lasting impact on your customers? Break away from the ordinary and unleash the power of creative feedback collection with these 5 unique approaches: 

  1. Interactive Gamified Feedback: Turn feedback into a game! Develop a fun, short game on your website or app where customers answer questions about their experience, earning points or virtual rewards along the way. 
  2. Social Listening with Personalized Outreach: Dive deep into customer feedback! Reach out to those who leave reviews, whether positive or negative, and engage them in personalized discussions. Show appreciation for positive feedback and address concerns in a tailored manner. 
  3. Customer Journey Mapping Workshops: Collaborate with your customers! Host interactive workshops where a small group maps out their journey with your brand, pinpointing touchpoints and pain points for invaluable insights. 
  4. Feedback Walls or Suggestion Boxes: Foster open dialogue! Set up physical or digital “feedback walls” in-store or online, encouraging customers to share ideas, suggestions, and even complaints anonymously or publicly. 
  5. “Secret Shopper” Missions: See through your customers’ eyes! Recruit them as mystery shoppers, assigning specific tasks to gather fresh perspectives. Their observations and feedback can unveil blind spots and enhance your overall customer experience. 

Implementing these strategies not only enriches your data but also strengthens relationships with your customers, leading to continuous business improvement. Let’s revolutionize the way we connect with our audience!  

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What is the Possible future for Quantum Computing?

Quantum computing might sound like science fiction, but it’s a real field with the potential to revolutionize various industries, including software development. Here’s a breakdown: 

What is it? 

Unlike traditional computers that use bits (0s or 1s), quantum computers utilize qubits. These qubits can exist in a state called superposition, meaning they can be both 0 and 1 simultaneously. This “quantum weirdness” allows them to perform calculations in parallel across multiple possibilities, tackling problems that would take classical computers exponentially longer

Benefits for Software Development: 

  • Breaking encryption: Quantum computers could potentially break current encryption standards, forcing the development of new, quantum-resistant algorithms. This necessitates advancements in software development to ensure continued secure communication and data protection. 
  • Material science simulations: Simulating complex molecules and materials at the atomic level is crucial for developing new drugs, catalysts, and other innovative materials. Quantum computers could accelerate these simulations by a significant margin, leading to faster breakthroughs. 
  • Machine learning optimization: Training complex machine learning models can be computationally expensive. Quantum computing could optimize algorithms and training processes, leading to more efficient and powerful AI models. 
  • Financial modeling and risk analysis: The ability to analyze vast amounts of financial data and complex scenarios simultaneously can lead to more accurate financial models and risk assessments

Current Stage and Challenges: 

While exciting, quantum computing is still in its early stages. Building and maintaining stable quantum systems is challenging, and harnessing their full potential requires further development of algorithms and software specifically designed for this new paradigm. 

Overall, quantum computing holds immense potential to transform software development in various ways, from creating new encryption methods to accelerating scientific simulations and optimizing AI algorithms. However, significant research and development are still needed to unlock its full capabilities. 

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Updates that are a big NO for an ecommerce website! 

The e-commerce market is at brim with its technologies and updates. Having an ecommerce website demands to be well-versed with the feedback for the technology being used. It is crucial to understand what works and what doesn’t for a particular target audience and hence here is a list of things to take care before you make any huge updates to the website: 

Here are some types of updates that might be considered a big “no” for ecommerce websites without careful consideration and testing: 

  1. SEO Structure Changes: Altering the website’s URL structure, meta tags, or other SEO-related elements without proper redirects can negatively impact search engine rankings and can affect organic traffic. 
  1. Abrupt Changes to Checkout Process: Avoid making abrupt changes to the checkout workflow without proper testing and user feedback. Sudden modifications can lead to cart abandonment and a decline in conversion rates. 
  1. Security Updates Without Testing: While security updates are crucial, applying them without proper testing can result in unforeseen issues. Test security updates in a staging environment to ensure they do not disrupt the website’s functionality. 
  1. Unverified Plugin or Extension Updates: Unverified updates may introduce bugs, security vulnerabilities, or conflicts with other components, verify that the updates are compatible with your ecommerce platform. 
  1. Theme Overhauls: Changing the website theme or design can impact the user interface and user experience. If not done carefully, it might confuse users and affect navigation. 

Removing features that customers rely on can be frustrating and lead them to abandon their carts or shop elsewhere. Before removing any features, be sure to understand why they are being removed and what impact this will have on customers. Additionally, consider notifying users in advance of any planned downtime or changes to manage expectations and minimize potential disruptions. 

0

Things that nobody told you about having an In-House IT team! 

IT services help enhance the online presence, improve efficiency, ensure security, and provide a better overall experience for both the business owners and customers. While having an in-house IT team offers certain advantages, there are also challenges and problems associated with this approach. Here are some common issues that businesses may face when choosing to handle IT services internally rather than outsourcing: 

  1. Costs: 
  • Higher Overheads: Maintaining an in-house IT team can be costly due to salaries, benefits, training, and infrastructure expenses. 
  • Fixed Costs: In-house teams often involve fixed costs, even during periods of reduced IT activity. 
  1. Limited Expertise: 
  • Narrow Skill Set: In-house teams may have a limited skill set, which can be a disadvantage when dealing with specialized technologies or emerging trends. 
  • Lack of Diversity: External IT service providers often have a diverse pool of talent and experiences, whereas in-house teams may be limited in expertise. 
  1. Scalability Challenges: 
  • Resource Allocation: Scaling up or down can be challenging for in-house teams due to the need for hiring, training, and managing resources. 
  • Flexibility: Outsourced teams can be more flexible in adapting to changing business needs. 
  1. Recruitment and Retention: 
  • Talent Shortages: Recruiting skilled IT professionals can be competitive and challenging, especially in regions with a shortage of qualified talent. 
  • Staff Turnover: Retaining experienced IT staff can be difficult, leading to knowledge gaps and disruptions in ongoing projects. 
  1. Technology Advancements: 
  • Continuous Learning: IT is a rapidly evolving field, and in-house teams may struggle to keep up with the latest technologies and trends without ongoing training. 
  • Outdated Practices: Lack of exposure to external projects and industry best practices may lead to outdated approaches.  

6. Project Delays:  

  • Resource Constraints: In-house teams may face resource constraints, leading to delays in project delivery. 
  • Dependency on Key Individuals: Projects may be at risk if they depend heavily on specific individuals who may be unavailable due to leave or departure. 

7. Risk Management: 

  • Security Concerns: Internal teams may have limited expertise in cybersecurity, potentially exposing the organization to higher security risks. 
  • Compliance Challenges: Ensuring compliance with industry regulations and standards may be more complex without specialized external guidance. 

8. Lack of Global Perspective: 

  • Limited Exposure: In-house teams may lack exposure to global perspectives and best practices, which could impact on the company’s competitiveness in the international market. 

9. 24/7 Support and Coverage: 

  • Limited Availability: In-house teams may struggle to provide round-the-clock support and coverage, especially for businesses with global operations. 

10. Focus on Core Business: 

  • Diverted Focus: Managing an in-house IT team can divert management focus away from the core business activities. 

While there are challenges associated with in-house IT services, it’s essential to note that the decision between in-house and outsourcing depends on various factors, including the organization’s size, industry, and specific requirements. Many businesses opt for a hybrid approach, combining in-house expertise with outsourced services to strike a balance between control and flexibility. 

Thus, outsourcing the services will not only play a part in the balance but will increase the scope of ideation in a business. Finding a trustworthy company who understands your process and approach to avoid bottlenecks and bring out innovation keeping in mind statistics! Make sure you pick the right one! 

P.S. Fermion has been taking care of such minute details for the last 13 years!