HR Continues to Take Center Stage With HR Data and Analytics in Forward-thinking Companies

The 2021 holiday season is over, and, with a bump we’ve landed in 2022, with something of a repetitive tune playing. The COVID pandemic continues; we are a full two years post the first cases being reported; and the statistics are no less shocking today than they were at the outset.

A Better Approach to Controlling Modern Data Cloud Costs

As anyone running modern data applications in the cloud knows, costs can mushroom out of control very quickly and easily. Getting these costs under control is really all about not spending more than you have to. Unfortunately, the common approach to managing these expenses—which looks at things only at an aggregated infrastructure level—helps control only about 5% of your cloud spend.

The Data Chief Live: Designing your winning data strategy

The Data Chief Live: Designing your winning data strategy Join Maria Villar, Head of Enterprise Data Strategy and Transformation at SAP, Samir Sharma, CEO and Founder at datazuum, and ThoughtSpot Chief Data Strategy Officer, Cindi Howson, to kick start your year by designing a winning data strategy. Hear data leaders in this space share their experience and tips such as.

Keep Your Data Moving With Qlik & Confluent

I have written many a post about the importance of keeping your data moving. As Mathew Wilder sang in “Break My Stride,” it’s “got to keep on moving” to enable you to act within the business moment. Real-time data analytic pipelines are the solid foundation to achieving the state of Active Intelligence, and you can only start that when you work on the freshest data available to you.

How Bayer Crop Science uses BigQuery and geobeam to improve soil health

Bayer Crop Science uses Google Cloud to analyze billions of acres of land to better understand the characteristics of the soil that produces our food crops. Bayer’s teams of data scientists are leveraging services from across Google Cloud to load, store, analyze, and visualize geospatial data to develop unique business insights. And because much of this important work is done using publicly-available data, you can too!

Six steps to a successful business intelligence strategy

Developing a successful data strategy requires bringing together the right tools, building the right processes, and creating open lines of communication and collaboration with the right people within (and sometimes beyond) your organization. The true key to success is maintaining close alignment between the technical data elements and needs of the business to ensure the most important questions are being accurately and quickly answered in order to help stakeholders take informed action.

Fueling customer loyalty with data: A Q&A with Pilot Flying J's Chief Data and Analytics Officer Ameet Shetty

If you’ve ever been on a long road trip, then you know the feeling of relief that comes when finally spy a recognizable truck stop or service station to pull into. Whether to fill up the tank, grab a snack, or ask for directions, fuel stations are a ubiquitous part of automotive travel, and there are more than 150,000 of them across the country. Pilot Flying J accounts for 750 of those locations, serving more than 1.3 million people daily.

Business Intelligence As A Service

In an increasingly globalized world, businesses are exposed to risks more than ever before. With shrinking profit margins and increased competition, organizations need to be on their toes all the time to survive. That's where the importance of data comes in. The jury might still be out on whether data is the new oil. But the growing market of data analytics outsourcing tells you that more and more companies are investing in data analytic solutions to gain a competitive edge.

Announcing preview of BigQuery's native support for semi-structured data

Today we’re announcing a public preview for the BigQuery native JSON data type, a capability which brings support for storing and analyzing semi-structured data in BigQuery. With this new JSON storage type and advanced JSON features like JSON dot notation support, adaptable data type changes, and new JSON functions, semi-structured data in BigQuery is now intuitive to use and query in its native format.