This is the time-tested axiom of risk management that holds true across business verticals, from insurance and banking to healthcare and manufacturing. If you can identify risk by predicting failure, you can, to a large extent, prevent undesirable outcomes such as litigation, fraud, and lost revenue. (more)
Big data fabric is an emerging platform concept that aims to accelerate business insights “by automating ingestion, curation, discovery, preparation and integration from data silos,” according to Forrester, in its new report “The Forrester Wave: Big Data Fabric, Q2 2018.” (more)
It’s no longer debatable: happiness is a business-critical ingredient to any workplace. Growing evidence points to the positive impact of happiness on modern organizations, including in important areas such as productivity levels, sales numbers, stock prices, and more. Enter the Chief Happiness Officer. (more)
With so much of patients’ data fragmented across disparate systems, especially in countries outside the US like India, the global healthcare industry is in dire need of a revolutionary electronic health record (EHR) system. Fortunately, we live in a tech-forward era that is plentiful with the resources necessary to incite change within current healthcare systems. One such technology that has the potential to revolutionize data-driven healthcare is the blockchain. (more)
When we started data archiving more than a decade ago, the enterprise was a very different place. Companies had challenges dealing with data growth — application performance issues, growing storage costs, and dealing with application upgrades — manageable by today’s standards. To address the data management issue, we pioneered the ILM-ready Solix Enterprise Data Management Suite for enterprises to automate and manage data archiving. (more)
The enterprise data lake is now well past its infancy: more than a quarter of all organizations have a data lake in production. However, with maturity comes new findings, criticisms, and data lake misconceptions — with headlines like “Data lakes will need to demonstrate business value or die”. (more)
