Systems | Development | Analytics | API | Testing

Analytics

5 Ways To Use Analytics For A Successful Product Launch

As a product manager, there are many characteristics that you need to embody to successfully manage a product team and launch a product. The product development process requires a lot of upfront planning before it even moves to production. And even then, the actual management of the design and development process has a greater set of requirements.

ThoughtSpot for Snowflake Telecom Data Cloud

Snowflake Telecom Data Cloud and ThoughtSpot Analytics empowers Telecom customers with fast, easy access to search and AI-driven analytics directly on data in Snowflake’s single, integrated platform. With the Telecom Data Cloud, Snowflake and its ecosystem of partners including ThoughtSpot can help telecommunications service providers accelerate digital transformation, enable superior customer experiences, maximize operational efficiency, and monetize new data services.

What is Augmented DataFinOps?

Collaborate across your data team to optimize performance, control costs, and improve quality Join SanjMo Advisory Services Founder Sanjeev Mohan and Unravel Data VP of Solutions Engineering Chris Santiago to learn how organizations are applying FinOps best practices to improve efficiency for the modern data stack. Data management services are the fastest-growing category of cloud service spending, representing approximately 40% of the total cloud bill. 80% of data management professionals report difficulty accurately forecasting data-related cloud costs.

5 Key Benefits of Using a Data Fabric

Data fabrics are getting a lot of attention lately, and for good reason. But, for any topic with a lot of hype, there also tends to be a lot of confusion. If you are still trying to fully grasp where the concept of a data fabric architecture fits amongst all of the warehouses, lakes, lakehouses, and meshes of the data engineering world, let's set the record straight. What is a data fabric? A data fabric is a toolset that connects data across disparate sources to create a unified data model.