Systems | Development | Analytics | API | Testing

BI

How Yellowfin Self Service Analytics Helps Automate Data Insights

For our regular readers at Yellowfin, the role of self-service analytics in today’s organization is more than clear. This type of analytics is aimed at helping more people across the company access, analyze and understand their business data, so they can make data-led decisions.

Data warehouse modernization: Diving deeper into Qlik Talend data integration and quality scenarios

Step right up, ladies and gentlemen, and witness the grand spectacle of the digital age! In a world where data is king, where information reigns supreme, and cloud data warehouses are multiplying like rabbits, there's a technology initiative like no other— data warehouse modernization! This article is the second in the series "Seven Data Integration and Quality Scenarios for Qlik and Talend," and answers everything you wanted to know about data warehouse modernization but were afraid to ask.

Kensu Brings Data Observability to Data Engineers

What can an organization do to troubleshoot flawed data sets before they get into the hands of end-users? In this episode of “Powered by Snowflake,” host Daniel Myers explores that topic with Andy Petrella, Founder and CPO of Kensu, which offers a data observability platform built specifically for data engineers. The conversation includes a demo of the platform that spotlights how it enables data engineers to proactively identify data problems before the data gets to stakeholders.

3 Ways AI, ML, and Predictive Analytics Can Help Solve the Nursing Crisis

The nursing profession is in crisis. According to McKinsey, over 30% of surveyed nurses said they may leave their current patient care jobs in the next year, and for inpatient nurses it’s higher at 45%. Meanwhile, the average professional tenure of nurses dropped from 3.6 years to 2.8 years between 2020 and 2023. These alarming trends have healthcare systems on red alert. Ninety-four percent of surveyed health system senior executives said the nursing shortage is critical.

Building Trust in Generative AI

Is the generative AI honeymoon over already? After months of buzz around its transformative possibilities, excitement is now starting to be tampered by a growing concern on trust and data privacy. Just in the last few weeks, there have been several lawsuits launched against AI companies, including a well publicized charge of copyright infringement.

Consumer Privacy: Getting More from Data Compliance with Embedded Analytics

Consumer privacy has increasingly become important for businesses and individuals alike. As data is becoming more and more widespread, people are more worried about where their data is going, how it’s being used, and how it’s facilitated. This has made data security paramount and front-of-mind for many organizations.