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Analytics

Movers and Makers | Financial Services

Many financial services institutions have hesitated to move their operations to the cloud, and understandably so. It's an industry with big stakes, big data, and even bigger regulatory considerations. Cloudera has helped several financial service organizations across the globe with a hybrid approach to their data that gives them the flexibility of a cloud-based datalake house, with the security of in-house data storage.

ThoughtSpot acquires Mode: Empowering data teams to bring Generative AI to BI

At ThoughtSpot, we know how important it is for businesses of every size and industry to empower every knowledge worker with personalized, actionable data-driven insights. These insights are your secret sauce to making better business decisions, growing faster, and delivering customer experiences that keep people coming back for more. But how do you scale self-service analytics to business users without completely overwhelming your data teams?

How to get the most out of your dbt Cloud instance

You may already be familiar with dbt, but just to be sure we're on the same page, let's revisit the concepts. The Data Build Tool (dbt) is a widely used framework provided by dbt Labs, specifically designed to bridge the gap between data analysts, data engineers, and software engineers, resulting in the creation of a new role in data and analytics: the analytics engineer.

Planning Your Migration to Microsoft D365 F&SCM

Over the past few years, software vendors moved their applications to the cloud. Microsoft committed heavily to the cloud across all its product lines, including the Dynamics family of ERP and CRM solutions. That will mean an eventual migration to the cloud for customers of Microsoft Dynamics AX, Microsoft Dynamics CRM, and the legacy Microsoft GP, SL, and NAV products.

Mastering ML Model Performance: Best Practices for Optimal Results

Evaluating ML model performance is essential for ensuring the reliability, quality, accuracy and effectiveness of your ML models. In this blog post, we dive into all aspects of ML model performance: which metrics to use to measure performance, best practices that can help and where MLOps fits in.

How to activate the Snowflake Data Cloud with AI-Powered Analytics

During Beyond 2023, we officially launched ThoughtSpot Sage, our new search experience that combines the power of GPT’s natural language processing and generative AI capabilities with the accuracy and security of our patented self-service analytics platform. As the experience layer of the modern data stack and an Elite Partner of Snowflake, we are constantly thinking about how our product innovation unlocks value for our shared customers.