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Big Data Republic's List of Top 20 Big Data Accounts on Twitter

May 23, 2013 by David Smith
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20 Big Data resources / shutterstock

I'm very proud to have been selected today for Big Data Republic's list of the Top 20 Big Data Twitter accounts. With such Big Data practitioners, analysts and thought leaders like Kirk Borne, Hilary Mason, Pete Skomoroch, Mike Olson and Doug Henshchen on the list, I'm humbled to be listed at #3.[read more]

Let Them Eat KPI: An Integrated Approach to KPI and MDM in Healthcare

May 23, 2013 by Michael Askin
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The healthcare industry has a very large number of complex KPI. From research to patient care to operations and finance, KPIs and their management (metadata management, master data management) are critical to overall organizational success.[read more]

First Look: FICO Decision Optimizer

May 22, 2013 by James Taylor
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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]

Interactive Intelligence Reveals Ambitious Plans for Customer Service

May 22, 2013 by Richard Snow
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customer service / shutterstock

At its recent user conference, Interactions 2013, Interactive Intelligence (Nasdqaq: ININ) showcased its extensive product portfolio and its ambitious plans to improve the products both technically and functionally. To keep up with developments, I divide contact center systems and applications into five groups.[read more]

Finding the Right Sponsor for Your Big Data Project

May 22, 2013 by Mark van Rijmenam
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What's your Big Data strategy? / shutterstock

Earlier we discussed that big data should be a Strategy matter instead of an IT matter. Let’s dive a bit deeper into the reasoning behind this and find out who within the organization should be the sponsor for a big data strategy. It would be wise to have one high up in the organization.[read more]

3 Big Data Milestones

May 21, 2013 by Gil Press
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Big Data milestones / shutterstock

Most IT observers prefer to talk about what’s coming, not what’s happened. But to make educated guesses about the future of the IT industry, it helps to understand its past. Here are three events that marked a quantitative and qualitative change in the growth trajectory of what we now call big data.[read more]

The Misunderstanding of Master Data Management

May 21, 2013 by Evan Levy
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Frequently, folks confuse the function and purpose of Master Data Management with Data Warehousing. I suspect the core of the problem is that when folks hear about the idea of “reference data” or a “golden record”, they have this mental picture of a single platform containing all of the data.[read more]

Data Visualization: Making Big Data Dance

data visualization

Fifteen years ago, the presentation of data typically fell under the purview of analysts and IT professionals. Quarterly or annual meetings entailed rolling data up into now quaint diagrams, graphs, and charts. Today, data is everywhere. We have entered the era of Big Data and many things are changing.[read more]

SAPPHIRE NOW: The Human Face of Big Data

May 20, 2013 by Timo Elliott
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Rick Smolen

SAPPHIRE NOW in Orlando was packed with examples of how Big Data affects all our lives. SAP Executive Steve Lucas was the host of an Intel-sponsored Big Data special interest group meeting at the conference; Rick Smolen, a former Time Life journalist, also spoke at the event.[read more]

Seven Steps to Rejuvenate Your Marketing Database

May 20, 2013 by Sundeep Kapur
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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]

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Re-Thinking SEO: The Earned Media & Inbound Marketing Evolution [Webinar]

May 20, 2013 by Aaron Aders
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SEO is evolving.

No industry evolves as quickly as SEO. Marketing leaders want to understand how SEO is evolving strategically and what metrics will move the needle in search. Many of the strategies and tactics that once worked are evolving, and others are being replaced all together. Here's what you need to know to succeed today.[read more]

5 Kinds of Business Analysis Techniques Every Executive Should Know

May 19, 2013 by Ana Andreescu
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business analysis

If you’re a business user thinking about analytics, the options can be dizzying. Where do you begin? Here is a list of 5 business analysis techniques to get you started.[read more]

Could Business Computing Be Done by Users Without Technical Experience?

May 18, 2013 by Jim King
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spreadsheet / shutterstock

Most business users have no IT experience. They can only rely on the business spreadsheet software to complete such computing. However, the traditional business spreadsheet software is weak in calculation, which will bring about errors in the calculation process.[read more]

Statistics vs. Data Science vs. BI

May 17, 2013 by David Smith
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Statistician's profile

As someone who trained as a statistician, I've always struggled with that title. I love the rigor and insight that Statistics brings to data analysis, but let's face it: Statistics — the name — has always had a bit of a branding problem. That's why I'm a fan of the term "data scientist."[read more]

Tactical Analytics: Wandering Off the Path One Inch at a Time

May 17, 2013 by Ray Major
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Tactical analytics: stay on the right path

From social media sentiment analysis to dynamic product pricing, we’re adopting more and more super-fast micro-decision systems to do what’s good “right now, right there” without much consideration for the cumulative effect over a longer period and a broader scope.[read more]

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What's the Difference between Desktop BI and Solution BI?

May 17, 2013 by Jim King
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A tale of two BIs

All modern Information Technologies which are capable of improving the enterprise competitiveness fall in the scope of BI, such as ERP, CRM, Reporting tools, Data Computing, Statistical Analysis, Data Mining, OLAP, and ETL, etc. They can be divided into two categories: Desktop BI and Solution BI.[read more]