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insideBIGDATA Guide for Higher Education

The goal for this Guide sponsored by Dell Technologies is to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively across a few distinct areas in higher education: student success  and workforce readiness, simplified systems and processes, and accelerate research.

The Era Of Continuous Intelligence

In this contributed article, James Corcoran, Senior Vice President of Engineering at Kx, discusses the era of ‘continuous intelligence,’ namely the ability for organizations to make smarter decisions derived from insights gained from analysis of data – whether real time, historic or both in as short a time frame as possible.

How Yum! Brands Uses Location Data from Foursquare to Make Smarter Decisions

Join this virtual event with a compelling panel of technology leaders to discuss to discover how Yum! Brands and other organizations are leveraging location-based data to boost in-app location accuracy, increase in-store foot traffic, and expand e-commerce business.

Video Highlights: COVID Data Community Profile Report

With the COVID-19 data now open to the public, the need for better analysis and aggregation of that information in the U.S. has skyrocketed. If you’re interested in learning more about the current trends impacting the nation and the data that backs it up, check out the Datapalooza COVID Data Community Profile video presentation below, hosted by data journalism firm, CareSet.

Panel Discussion: Needed Data Skills for 2021

In this panel discussion article, Grant Shirk, Head of Marketing at Sisu, to help both hiring managers and job seekers looking to fill these key roles, sat down with a number of senior analytics leaders to get their perspectives on hiring, recruiting, and critical skills. You’ll find their conversation below, full of insights and actionable recommendations.

5 Tips for Making Data Work for Your Business

In this contributed article, Scott Ziemke, Director of Data Science, Vertafore, discusses how in order to overcome barriers to data & analytics success, companies must implement clear and relevant strategies that focus on real business cases. Too often data scientists get excited about data and its nuances, but the organization doesn’t know how to operationalize the insights and turn them into action that drives business results. Here’s how to overcome that problem, along with other tips that can help ensure you get the maximum ROI out of your data & analytics investment.

Kyligence CEO Identifies Top Big Data, Cloud, and Data Analytics Predictions for 2021

Kyligence, originator of Apache Kylin and developer of the AI-augmented analytics platform Kyligence Cloud, provides its cloud data analytics predictions for 2021, focusing on the rapid growth rate of cloud-native data warehouse and data storage services that will enable the massive acceleration of analytics adoption.

New Research from TrueCue Reveals Majority of Local Authorities are Providing Incoherent Data Analytics Training for Staff

Despite 93% of local authorities stating they use data analytics across their organisation, new research from UK-based TrueCue, the analytics products and services brand, suggests an overwhelming majority (97%) only provide training for staff “as and when needed.” The findings were part of an investigation to assess the data analytics maturity of local authorities across the UK.

How the Retail Sector Is Reaping the Rewards of Data Analytics

In this contributed article, freelance human Avery Phillips discusses some of the most powerful ways that the use of analytics has transformed the markets from supply chain and marketing to customer service and beyond.

What is the Difference Between Business Intelligence, Data Warehousing and Data Analytics

In this contributed article, Christopher Rafter, President and COO at Inzata,, writes that in the age of Big Data, you’ll hear a lot of terms tossed around. Three of the most commonly used are “business intelligence,” “data warehousing” and “data analytics.” You may wonder, however, what distinguishes these three concepts from each other so let’s take a look.