Centralized analytics moves too slowly to respond to an evolving set of business needs. There’s simply no way a centralized data engineering team can understand and build all the analytic capabilities every team in the business needs…nor can it be fast enough. Businesses can’t afford to wait weeks or months for the centralized engineering team
Coginiti 21.7 includes several helpful updates, including broader platform coverage, improved error messages, and expanded database filtering and query editor insertion functionality. This release cycle also features several enhancements specific to Coginiti Premium, our platform for collaborative analytics. Database Filtering in Discovery Several months ago we released the ability to create saved filters for your database connections.
Data is essential for organizations but always remember, if you’re not staying up to date to make sure data (and analytic output) is still relevant, your analytics will become a liability vs. an asset. Both unrevised analysis and analysis done from scratch are prone to the risks of orphan analytics and analytics drift. Data is
Coginiti CEO Rick Hall recently sat down with Chad Perry on the Industrial Evolution Podcast. They had a wide-ranging discussion on analytics at the edge of business, where processes are changing rapidly, and business teams need answers quickly. Their discussion covers the shift from a centralized engineering model to one where business users are empowered
Today we’re excited and proud to announce Coginiti support for the newly released Amazon Redshift Data Sharing. How to Use Amazon Redshift Data Sharing in Coginiti Pro and Coginiti Premium Amazon Redshift is one of the most popular databases Coginiti Pro and Coginiti Premium users connect to on a daily basis. As an AWS (Amazon
