Starting with the release of Strategy ONE (March 2024), dossiers are also known as dashboards.
Why Platform Analytics?
The most appealing aspect is the data gathering part where Platform Analytics differs from the legendary Enterprise Manager. Collecting telemetry from a cluster of Intelligence Server machines and transforming it into a powerful set of dossiers demonstrates how sharp modern analytics shall be. Not to forget, the tirelessly running innovation engine of the Strategy folks bringing in sizeable improvements with every update – latest being a new Health Check tool that enables customers to test the end-to-end flow of data between the Intelligence Server Producer, Telemetry Server (Apache Kafka), and Platform Analytics Consumer (Telemetry Store) for both Change Journal and Statistics cases. A new data clean-up script to delete data for specific users, across all tables in the Platform Analytics repository; is bound to observe implementation in a lot more business scenarios.
Note from the Community team
Check out our video on conducting a platform analytics health check. The video goes over the steps on how to run this check, ways to figure out how to diagnose issues you might be having, and solutions to common connection problems.
Integration with Third-Party Services
Strategy’s practice to promote innovation through collaboration has brought the best tools in market together for a seamless and strong end product – Platform Analytics. Kafka and Zookeeper from Apache – the two high throughput and low latency services serve as a building block for a data-intensive service like Platform Analytics. Redis – an in-memory data structure store that provides caching mechanisms ideal for optimizing performance.
Outweighing the Legendary Enterprise Manager
Platform Analytics and Enterprise Manager are both monitoring tools that capture data about Strategy. However, Strategy outrightly stated that Platform Analytics is the new default monitoring tool for the Strategy platform. Platform Analytics is built on the latest technology and offers many advantages over the precursor.
For instance – who doesn’t want to be equipped with the ground-zero situation manifested by the Real-time data capture, data assembly from most sectors of Strategy platform, a simplified schema model occupying lesser space in data warehouse and the list goes on.
Amongst the best practices and general recommendations on the architectural front for Platform Analytics – the most differential aspect has to be fetching data from multiple Intelligence Servers belonging to different environments onto a single Intelligence Server machine. Below graphic demonstrates the same:
Expanding the Market – New Avenues
Getting that native status to a global technology or tool isn’t that easy. For instance, in an agrarian and developing economy like India, how could Strategy contribute to harnessing maximum agricultural production, predict and foresee droughts and monsoons, and help choose the right fertilizers as per soil conditions remains to be seen. Platform Analytics should be playing a vital role in this regard.
With such a unique and extensive schema model, catering to a wide pool of domains already – be it healthcare, banking or retail; the Farming angle could be explored. If the breakthroughs are visible, then a wider consumer pool beckons, spanning animal husbandry, handlooms, horticulture and food sciences. A scalable AWS architecture for MSTR should be an answer for optimum cost solutions.
A note from the Community team
Learn how install, configure, maintain, and monitor Platform Analytics here: Platform Analytics Guide.
Want to learn more about Platform Analytics? Check out our Platform Analytics FAQ!
