ING Group is a Dutch-based multinational banking and financial services corporation serving more than 38 million customers globally. It’s one of the biggest banks in the world, and consistently ranks among the top 30 largest banks globally. Our 20-year-old COBOL-based financial messaging system — which provides electronic instructions to enable financial transactions between banks and customers — is slowly becoming obsolete and difficult to integrate.

Today we had an exciting announcement at Elastic. Below is part of an internal email that we shared with our fellow Elasticians. First, hear from Shay: Almost two years ago, I decided to move to Israel because it was better for my family (that took time to happen, Covid!). At that time, I started thinking about how to do what is right for my family while being able to be a meaningful part of Elastic. Those of you who know me, know that Elastic is my life’s work. And we have only just begun.

As we kick off a new year, so does new and refreshed thinking in the public sector. With another full year of lessons learned from the pandemic, public sector leaders will apply these insights in the way they execute their documented data strategies. Synthesizing what we see and hear from our stakeholders, below are five of the needle movers we see in public sector data strategy execution.

With the Elastic 7.16 release, Osquery Manager is now generally available for Elastic Agent, making it easier than ever to deploy and run Osquery across your environments. By collecting Osquery data and combining it with the power of the Elastic Stack, you can greatly expand your endpoint telemetry, enabling enhanced detection and investigation, and improved hunting for vulnerabilities and anomalous activities.

Government data strategies lay a promising groundwork for how data will be used to drive more informed decision making internally and more streamlined public services externally. A commonality between these strategies is the need for improved role-based data sharing and data re-use. The sticking point, however, is in the way to implement data sharing when there are known silos across and within various departments.