Decision Management

Decision management tool / shutterstock

Decision Optimizer is one of FICO’s Decision Management Tools and is designed to address some specific challenges in customer decisioning, particularly that there are often competing objectives and very large numbers of customers (and thus customer decisions) involved.[read more]

Mobile & Decision Management: James Taylor

While at IBM IMPACT this year I was interviewed about Decision Management, Mobile and more. Check out this video to see the interview.[read more]

decision management / shutterstock

I have written about few in-memory technologies and approaches in recent months, and into this space has come Teradata with its new Intelligent Memory. I would summarize the idea behind the Teradata Intelligent Memory product with three points.[read more]

Big Social Data

From eating and drinking to watching entertainment to reading, just to name a few, the social conversations of consumers often reveal tremendous insight on their interests, activities, likes, dislikes, attitudes and behaviors simply as a byproduct of their ‘off-line’ engagements while engaging online.[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 flow

With big data come a few challenges. What can we do when data flows faster than it can be processed? There is a solution that benefits everyone (users, companies such as Google, Amazon, Netflix, Facebook or Twitter, and clients): better use of data science.[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]

big data: think small & find the gems / shutterstock

Big data analytics was like the new popular kid on the block in 2012, rapidly rising to become the must-have technology for all organizations and IT departments. But in the rush to implement big data strategies, many decision-makers missed the boat on what these tools should really be used for.[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]

Big data gaming

Online game developer Zynga operates at such a large scale that on a regular day, Zynga delivers one petabyte of content. They have built a flexible cloud server center that can easily add up to 1,000 servers in just 24 hours. So, big data is truly big at Zynga, but how do they cope with it?[read more]

intelligence-driven marketing

In the "information economy," data is created at an unbelievable pace, but to make some reasonable business use of that data is challenging. Businesses need to systematically move from "big data" to "smart data", or data in the right business context, delivered to the right person at the right time.[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]

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]

forecasting/shutterstock

We can usually learn a thing or two by observing how an outsider thinks about our problem. So can a demand planner, concerned about filling orders and managing inventories, learn a thing or two from someone who forecasts the price of stocks? Read on to find out.[read more]