Systems | Development | Analytics | API | Testing

You developed your software and went through all the rigorous testing processes, and now you’re wondering, “What’s next?” This is where beta testing comes in.

Did you know that users worldwide downloaded approximately 77 billion mobile apps in 2023? With the rise of global digital markets and a growing smartphone user base, making your app stand out requires more than great functionality. It demands cultural relevance and linguistic accuracy. Global app developers must ensure their app is accessible to all types of users regardless of language and location. However, successfully adapting a product to a different language and locale can be challenging.

Insurers’ success has always hinged on their ability to analyze data effectively to price and underwrite policies accurately. While this analytical capability remains essential, outdated legacy systems hinder insurers from competing in a rapidly changing market. According to McKinsey, modernizing legacy systems can reduce IT costs per policy by 41%, increase operations productivity by 40%, improve claim accuracy, increase gross written premiums, and reduce churn.

PostgreSQL APIs let applications interact with Postgres databases, perform CRUD (Create, Read, Update, Delete) operations, and manage database schemas. Keep reading to learn more about how APIs help you maximize your databases.

In today’s digital landscape, securing sensitive information is paramount for industries like fintech, healthcare, and e-commerce. These sectors frequently handle sensitive data such as Personal Identifiable Information (PII), Card Holder Data (CHD), Social Security Numbers (SSN), and Personal Health Information (PHI). Ensuring data confidentiality and integrity is essential for regulatory compliance and maintaining customer trust.

How to make siloed SAP data accessible with automated data integration and a data intelligence platform.

Data is the key to better decision-making. Organizations diligently collect vast amounts of data, building data lakes and warehouses to unify it all. The promise is clear - To convert all this data into actionable insights and drive tangible business results. But the reality? Transforming data into actionable domain-specific intelligence and tangible business outcomes remains challenging.