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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.

87 Percent of US Retailers Race to Achieve Faster Data-Driven Insights to Support Online Sales

Exasol, the high-performance analytics database, published new research that reveals since the pandemic started, 87% of retail organizations in the U.S. have been under pressure to make data-driven decisions faster. The finding comes from an in-depth research report, “Retail: Decision making during times of uncertainty,” that quantifies how retail organizations in the U.S. are heightening data-driven decision-making cycles to meet real-time demand and prepare for surging online sales brought on by the COVID-19 pandemic.

Databricks Launches SQL Analytics to Enable Cloud Data Warehousing on Data Lakes

Databricks, the data and AI company, announced the launch of SQL Analytics, which for the first time enables data analysts to perform workloads previously meant only for a data warehouse on a data lake. This expands the traditional scope of the data lake from data science and machine learning to include all data workloads including Business Intelligence (BI) and SQL.

How Automation Helps You Exploit the Value in Big Data

In this sponsored post, Simon Shah spearheads marketing at Redwood Software to support continued market growth and innovation for their cloud-based IT and business process automation solutions. He believes that by using automation to collect and manage your big data processes, you will truly exploit its value for the business.

Video Highlight: A Vision of Analytics — Challenge the Data Warehouse Status Quo

The pandemic and related disruptions have caused companies to think hard about their data and analytics strategies and how they get real-time answers. In the keynote presentation below, Yellowbrick CEO, Neil Carson, discusses why the single most important set of technologies a company should be investing in today is an analytics infrastructure. Carson explains why these are the technologies that will determine whether your business survives.

DataOps Engineer Will Be the Sexiest Job in Analytics

In this contributed article, Christopher Bergh, a Founder and Head Chef at DataKitchen, discusses how DataOps, is transforming the roles on the data analytics team. DataOps is a better way to develop and deliver analytics. It applies Agile development, DevOps and lean manufacturing principles to data analytics producing a transformation in data-driven decision making.

Not Just Another Trend: The Postmodern Cloud Computing Imperative

In this contributed article, editorial consultant Jelani Harper discusses a variety of interrelated topics: cloud computing, data orchestration, data integration, and data governance. The cloud’s worth to the modern enterprise is remarkably simple, yet undeniable: it enables them to do more with less. It empowers them to scale better, store data cheaper, and access IT resources much faster than they could if everything were on premise.

How to Produce Cleaner Data for Robust Pricing

In this contributed article by MIT Sloan School of Management Prof. Negin Golrezaei, found that there are ways to limit price manipulation. The key is the pricing algorithm. Instead of using bids to directly set prices, a prominent group of researchers designed an algorithm that uses censored bids– in this case a binary signal – to indicate whether the buyer wins in the prior auction or not.

How Data Collection During the Country’s Reopening Can Accelerate Return to Normalcy

In this contributed article, Sheldon H. Jacobson, PhD,, Founder Professor of Computer Science at the University of Illinois at Urbana-Champaign, is an advocate for advanced-analytics-based modeling to monitor the spread of COVID-19. Every state reopening represents an opportunity to collect data and identify best practices that can benefit other states.

Big Data/COVID-19 News – 6/1/2020

The big data ecosystem has come out strong to help combat the global coronavirus pandemic by announcing new products and services to help fight COVID-19. In this article, I’ve listed a number of the recent announcements along these lines. Kudos to all the vendors listed below, you may just make an important difference in getting the world past these trying times!