Systems | Development | Analytics | API | Testing

BI

3 data quality obstacles to beat with Talend and Snowflake

In today's fast-paced, data-driven world, deeper data insights and faster time to value are paramount if you want your business to stay competitive and thrive. Decision-makers need instant access to all their data sources to make sound business decisions — and they need to have trust in their data. However, data quality is often overlooked. According to Gartner, poor data quality costs organizations an average of $12.9 million annually. What’s going on?

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?

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.

Analyzing Population Percentages Using Yellowfin Box and Whisker Charts

In this blog, the team at Yellowfin Japan demonstrates how to take advantage of Yellowfin's data visualization capability in the form of Box and Whisker charts, using the example of analyzing the percentage of foreign population prefectures. So, what is a Box and Whisker Chart, and what does it look like in Yellowfin? Blog Contents hide Box and Whisker Chart Overview and Analysis Examples What is a Box and Whisker Chart?

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.