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Predictive Analytics Solve Retail’s Trickiest Problem: Customer Intent

In this special guest feature, Rachel Wolan, Vice President of Product at Euclid discusses what predictive analytics is really about: helping retailers forecast intent. If we can make smart, data-backed predictions on what customers are likely to do, and when, retail marketers can then deliver a true curated shopping experience.

How to Become a Big Data Analyst

Because of the inherent importance of data analysis in many industries, the job of big data analyst is one that should come with great appreciation and consideration of those looking to get into a similar field. In the infographic below from our friends over at MeriTalk, we’ll break down big data analysis as a career and show you why it’s already one of the big jobs to look out for now and in the coming years.

How Big Data Analytics Can Improve Demand-Supply Cycle in Retail?

In this contributed article, James Warner, a business intelligence analyst at NexSoftSys.com, discusses big data uses in the retail industry, specifically about the supply and demand cycle. With big data entering all mainstream industries, analytics is surely going to be different and not limited to projections and predictions. The supply chain in retail is a small example of the vast applicability of big data.

Putting Data to Work Hospitals are Awash in Patient Data—Why is So Much of it Never Put to Use?

In this special guest feature, John Zaleski, PhD, CAP, CPHIMS, is Executive Vice President and Chief Analytics Officer at Bernoulli, discusses how data collection and analysis are further enhanced when including methods for disseminating, analyzing, and distributing data.

How Marketers Use Data Analytics to Reach New and Existing Customers

Big data and analytics can help a business predict consumer behavior, improve decision-making across the board and determine the ROI of its marketing efforts. By addressing these aspects adequately, the business would not only be able to protect its market share, but also expand into new territories. Our friends over at the Villanova University’s Online Master of Science in Analytics degree program developed the compelling infographic below as a detailed look at this topic.

The Great Data Divide

In this special guest feature, Bonnie Crater, CEO of MarTech platform Full Circle Insights, discusses the Great Data Divide caused by siloed data and the lack of cohesion between marketing and sales, which makes it difficult to show marketing ROI. Bonnie predicts that 2018 will bring more collaboration between the two departments in order to increase insights-driven marketing, where data is further analyzed for actionality, so that campaigns can yield greater results.

Big Data, Hadoop & Cloud: Tackling a Chain of Emerging Challenges

In this special guest feature, Chandra Ambadipudi, CEO of Clairvoyant, provides a compelling tour de force through the recent history of the big data industry and how Hadoop and the cloud have made steady acceleration possible. Also offered are recommendations for how to address several challenges faced by enterprises with respect to big data cloud implementations.

Best Practices Report: The Power of Operationalized Analytics

The pace of business continues to increase. And the power of big data and analytics is growing. But it’s not enough to just analyze this data anymore. According to a new TDWI Best Practices Report, sponsored by SAS, businesses also need to take action on this data. Read on to find out how businesses can better operationalize their analytics and derive value from their data. 

Business Analytics are Helping Companies Push the Envelope & Drive Innovation

These days, data and business analytics are the catalysts allowing many companies to push the envelope. A new MITSloan Management Review Research Report, sponsored by SAS, explores analytics as a source of business innovation, as well as how this increased ability to innovate is benefitting a spectrum of industries.

New SAS® Data Preparation Gets Big Data Ready for Analysis

With 2.5 quintillion bytes of data being created every day, organizations need better ways to prepare it for analysis. Analytics leader SAS is now offering SAS® Data Preparation to provide analytics professionals and business users an interactive, real-time self-service application that will ease the burden of readying data for analysis.