Category: Data Strategy

Cloud Computing / Data Strategy / Digital Transformation / Modernizations / Strategy

What is the future of RDBMS?

Serverless philosophy came a long way & likely to be the default architecture paradigm of the future. Currently, there are heavy uses of “serverless” for websites, applications, APIs, workflows & CDNs. In contrast, serverless RDBMSs are still not so widely used. While there are offerings like AWS Aurora (for MySQL), there are concerns in terms of security, access control, transaction mgmt, etc. As a result, RDBMSs still mostly get deployed either as on-prem or in VPC private subnets. But such deployments fail to align well with serverless apps & front-ends? Should then lambda functions with infinite scalability be allowed to...

Artificial Intelligence / Big Data / Cloud Computing / Data Strategy / Digital Transformation / Insurance / Integrations / Leadership / Machine Learning / Modernizations / NOSQL / Strategy

A “member enrollment” challenge in group employee benefits that is far deep-rooted than was thought to be, and how a “next-gen” solution can fix it.

Why member enrollment is an area of concern! Member enrollment is a crucial business function in healthcare and insurance group benefits and is directly associated with customer experience. It influences the experiences of all major external personas in the following way: Eligible employees start receiving coverage protection only when successfully enrolled in the carrier’s system Employers depend on the successful completion of the enrollment process for determining premium installments and accounting Plan administrators get paid only when the enrollment process is complete Brokers receive commission only on successful completion of the enrollment process as the way to determine employee participation...

Data Strategy / Insurance

What’s wrong with “data strategy” for insurers!

What can slow down “data” in insurance when data is always at its heart, from rating to risk management, customer service to claims! No wonder insurers have always been good at managing huge amounts of data. But as we know “what brought you here won’t take you there”, this ability needs to grow in today’s world when the very fabric of data has changed astronomically in its source, volume, variety, velocity, etc. Today insurers need new ways to use this “big” data to serve society better by keeping up with changing customer behaviors & trends. New technologies emerged to help....