Yellowfin 9.10 Release Highlights

With updates to our browser user interface (UI), Stories, report navigation and more, Yellowfin 9.10 is an update that further enhances your users' analytics experience. 9.10 brings significant updates. Browse Page UI has received a sleek makeover, simplifying navigation for reports, dashboards, and presentations, catering to both new and experienced users.

Snowflake Customers Rank Cost-Effectiveness and Ease-of-Use as Top Benefits in New KLAS Research Report

See why Snowflake’s healthcare customers rate the Data Cloud high in performance and cost savings. Each year, KLAS Research interviews thousands of healthcare professionals about the IT solutions and services their organizations use. Since 1996, the analyst firm has been leading the healthcare IT (HIT) industry in providing accurate, honest and impartial insights about vendor solutions and customer satisfaction metrics.

What Is a KPI? Definition, Types, Examples and Best Practices

Have you heard this quote from Edwards Deming? – “In God we trust, all others bring data.” In today’s competitive landscape, if you’re not measuring your performance and closely analyzing each relevant data point, you’re not going to see much success with your strategies. This is the golden rule no matter what type of business you run – whether you’re a small, local jewelry store or Coca-Cola. And KPIs (key performance indicators) help us do just that.

Accelerate & Automate Data Movement for SAP ERP into the Snowflake Data Cloud with Fivetran

Learn how Fivetran accelerates, automates and simplifies SAP ECC and S/4HANA ERP data movement into the Snowflake Data Cloud. Using Fivetran’s fully automated and fully managed data movement service and the SAP ERP for HANA connector, you’ll see how to quickly connect SAP ERP data to Snowflake, setup historical sync and incremental CDC automatically, and move analytics-ready data from SAP ERP to Snowflake.

How to Build a Smart GenAI Call Center App

Building a smart call center app based on generative AI is a promising solution for improving the customer experience and call center efficiency. But developing this app requires overcoming challenges like scalability, costs and audio quality. By building and orchestrating an ML pipeline with MLRun, which includes steps like transcription, masking PII and analysis, data science teams can use LLMs to analyze audio calls from their call centers. In this blog post, we explain how.

What's New in ThoughtSpot - 9.7.0 Cloud Release

ThoughtSpot Analytics Cloud 9.7.0 is now available! 👉 Bookmark your filters and parameters with Personalized Liveboard Views to access Liveboard data quickly👉 Ask coding questions in natural language and receive contextual GPT-assisted instructions and code with ThoughtSpot AskDocs👉 Version control your analytic content by integrating ThoughtSpot with Git repositories Plus lots of new features and enhancements you’ve been waiting for.