Our Organization's unique 8,8,8 engagement model which is enabling Business to stay ahead of the Curve with Modern Data Platforms says Mr. Vamsi Ram Kora, CEO Of Gathi Analytics in an Article in CIO Review.
Enterprises are inundated with data, can this Hyd-based startup help them make sense of it?
“We are building a backbone for enterprises, setting their data free and making it readable to analysts in their own firms. This way, a lot more people have access to it. The idea is to democratize data and focus on return on investment for these enterprises,” says Vamsi Ram Kora, founder of Gathi Analytics.
Team Gathi did it again.... Sree Datta, Vamsi Karri and Anurag Veerapaneni from the Solution Engineering team at Gathi produced winning Visualization App for ‘Heartbeat of the City’ as part of Columbus Smart City Hackathon over past weekend. Our team’s ability to analyze complex data sets (Crash Reports, Geo Spatial Info etc), reverse Geo Code the data and develop highly Intuitive Visuals helped them receive special appreciation from Judges. As part of this 2.5 days effort team developed and created “anatomy” of crashes. They presented a simple IOT (Raspberry PI ) and open source tools that helps prevent human errors in crashes. Though this is just a pilot, we are extremely happy to be part of this exciting effort to make Columbus a Smart City.
Our Senior Data Architect, Siva J represented Gathi Analytics at the Gartner Data & Analytics Summit, June 2018 in Mumbai. The summit brings the brightest data visionaries, strategists, and thought-leaders together to share insights on data and analytics, and its impact on businesses. The four themes from Keynote are - "Trust, Diversity, Literacy and Complexity". The various trends discussed during the two day sessions covered Data Strategy, Metadata Management, Data Catalogs, MDM, Data Hubs, Logical Datawarehouse, Data Virtualization and Augmented Analytics. There was also a one-on one engagement with the Gartner Analyst Ehtisham Zaidi to discuss on the role of Data Virtualization with focus on Logical Data Warehouse and how it enables faster cycle time and cheaper option for delivering analytics projects to business.