Knowledge Management

database / shutterstock

Your messaging needs to engage. You need to make sure that you are communicating with relevance. Your marketing database is what will help you create this relevance. Here are seven key considerations to rejuvenate your marketing database.[read more]

text analytics / shutterstock

Promises, promises! Text analytics literature is full of them. Gain valuable insights! Know your customer! Harness the power of Big Data! The problem is that knowing something about your customer isn’t the same as having the ability to turn that information into cold hard cash.[read more]

A new analytic architecture

Gartner recently published a new research note called ‘Market Trends: The Collision of Data Discovery and Business Intelligence Will Cause Destruction.’ (Data discovery is Gartner’s term for Business Discovery.) The Gartner report sets out two possible scenarios.[read more]

Predictive analytics whiz: Dr. Eric Siegel

In this interview, Social Media Today's Henry Spethmann speaks with Dr. Eric Siegel -- author of the new book "Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die" -- about what predictive analytics is and how it can be applied to a number of different disciplines.[read more]

Data analysis team

Ron Johnson, the retail superstar behind the Apple store and Target’s turnaround, was hired to bring Penney back to profitability—and failed. It should be a lesson for us all. Company leaders—CEOs and boards—should hold decision-makers accountable for making data driven decisions.[read more]

Bad data

What keeps IT guys up at night? All that bad data their bosses are using to run the business. By establishing these processes, IT departments can cut the business data deluge to a manageable flow of good information, ensuring that the decision-makers downstream aren’t using two wrongs to make a bad insight.[read more]

decision management: democratizing data (shutterstock)

Democratizing data cannot just mean helping more knowledge workers have more fun with their query and visualization tools. It has to mean democratizing data-driven decision making throughout the organization, and that will take a new generation of decision-making systems.[read more]

Predictive analytics

Eric Siegel's new book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, recasts the subject in a form that is “mapped” more closely to common perceptions of what we do in our brains and why we do it. Here's a review, written by Dr. Robert Nisbet.[read more]

big data-driven hotel/shutterstock

The InterContinental Hotel Group is collecting massive amounts of data across its seven brands. In recent years, IHG has embraced the use of advanced analytics. They moved from a structured dataset to a big data solution analyzing both unstructured and structured data in real-time.[read more]

BYOD

While the sub-market spawned by BYOD is flourishing with multi-platform BYOD services, solutions, applications and everything else that a new phenomenon might elicit, for some, especially IT administrators and the like, the practice is simply little more than a pain in the &$@#*.[read more]

Big Data and CRM

Customer Relationship Management has always involved data, but most of it used to be structured data; new techniques make it possible to process, store and analyse massive amounts of unstructured data as well, which means CRM can finally become a true revenue driver.[read more]

If your organization has not yet embraced analytics, you may be wondering “What’s the best way to get started?” A key decision at the beginning is whether or not to bring in outside expertise to kick start the process, versus the traditional approach of recruiting an internal team.[read more]

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Data management is the engine that drives commerce, and more important now than ever before. Whether it is inventory or payroll, the data management leadership needs to focus on making employees and software cross-applicable within the entire scope of the business model.[read more]

Conversation about “big data” often leads to more questions than answers. Where does big data begin and end?Business process management (BPM) helps moves companies away from silos; big data, too, is about breaking down silos for a cohesive view of information.[read more]

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I see a clear analogy between Ansel Adams' "pure" or complete photography and seeking a complete business picture.[read more]