Database and platforms

Trend 1. Data platforms transforming into business growth enablers

Modernization and cloud adoption were earlier known to enhance cost-saving efficiency, but now they enable agility and connectivity to data as well. Platforms with packaged insights address specific business needs such as next-best recommendations, and off-the-shelf and/or custom-developed iterations are gaining popularity. These platforms offer integrated capabilities across the value chain - data acquisition to insights delivery. This trend is gaining momentum in customer service, marketing, financial insights, life sciences, commercial insights, and retail analytics.

A leading mortgage company was facing challenges in adhering to the California Consumer Privacy Act (CCPA) guidelines due to the lack of a well-defined and uniform mechanism to deal with personal data and robust operating procedures. Infosys implemented a fit-for-purpose and tailored platform solution, encompassing the CCPA solution blueprint, privacy controls, technical solution design and delivery, and change management in an accelerated fashion. This improved the client's data privacy and readiness, responding to all CCPA requests with a full audit trail.

Database and platforms

Trend 2. HTAP for faster insights

HTAP is an emerging application architecture that combines transaction processing and analytics within the same datastore. This trend has come in the spotlight with recent advances in research, hardware, in-memory, and cloud-native database technologies. It offers significant benefits by eliminating the need for multiple data hops and data duplication, saving time. SingleStore is one such popular database. This pattern is gaining popularity in use cases that require nearreal-time insights and where “after the fact” analysis is inadequate.

A large U.S. bank wanted to address the latency challenges of its transactional master data management (MDM) application, which was on a legacy relational database management system. Infosys helped the bank implement a solution that migrated the MDM application to a low-cost/lowlatency secondary database in SingleStore, significantly reducing the overall latency of master data availability.