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Big Data, Big Reality Check

bigdata.jpgWith the massive amounts of data being created by the minute, most existing business intelligence environments provide analytics and reporting, but can’t handle the volume and various formats of information streams coming from devices connected to the Internet of Things.


Don’t add to the complexity of a Big Data project. Specific goals and targets will help ensure success in managing and analysing large amounts of data.

Will the Data Scientist Shortage Hinder your Enterprise?

iStock_000008163908_Medium smaller.jpg

You have data. And you know you should be using it to glean insights. Who do you turn to?


The U.S. alone faces a shortage of 140,000 to 190,000 professionals with analytical expertise. But don’t let that concern hinder you from getting the value you need. Take a look at this article for strategies that can prime your organization to succeed despite the lack of qualified personnel. 

Innovation in Shopping: A New Approach to the Retail Model

Check out.jpgA new strategy for today’s shopping environment requires holistic thinking about every part of the retail model. Retailers will have to adjust business operations, link disconnected databases, and select technical solutions carefully. Ultimately, transitioning to omni-channel will mean adopting a transaction platform that unifies point of sale (POS), e-commerce, and mobile commerce (m-commerce) along with inventory management, fulfillment, merchandising, and pricing.


Take a look at these 5 implications of an agile innovation process in retail strategy.

Fueling Enterprise Action with Data Analytics

Customer insights.jpgBig data is the digital ore from which insights are extracted. And with the volume and complexity of data, the digital universe is a titanic, exploding macrocosm.


Data-driven enterprises have a competitive edge. To gain that edge, the enterprise must zero-in on the right data, apply effective analytics processes, and transmit insights to the frontlines to spark action. The key: have a clear understanding of what frontline managers need and can actually use. 

Operational Analytics: Are You Putting Your Analytics to Work?

Darcy and Ken Interivew Analytics compressed.jpgOrganizations routinely employ advanced analytics capabilities to extract insights and predictions from complex and expanding data sets. Yet while analytics can expose patterns and facilitate accurate predictions, most companies struggle to harness them to drive business outcomes.


Ken Elliott and Darcy Moss explain how organizations can mine value from their analytics capabilities by putting analytics insights to work. Watch to learn more.

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