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Data Management

Business Analytics Error: Learn from Uber’s Mistake During the Sydney Terror Attack

January 24, 2015 by RK Paleru

Uber.

Recently, as a sad day of terror ended in Sydney, a bad case of Uber’s analytical approach to pricing came to light - an “algorithm based price surge.” Uber’s algorithm driven price surge started overcharging people fleeing the Central Business District (CBD) of Sydney following the terror attack.[read more]

Aligning Big Data

January 18, 2015 by Martyn Jones

Aligning big data.

This is an overview of the realignment and placement of Big Data into a more generalized architectural framework, an architecture that integrates data warehousing (DW 2.0), business intelligence and statistical analysis.[read more]

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3 Data Management Tips for Winning the Rest of ACA Open Enrollment

January 16, 2015 by Jeff Brown

With open enrollment well underway, here are a few tips to make sure your data stays accurate, regardless what might be happening in the marketplaces. Some states have experienced glitches, which makes data collection and processing all the more complicated for insurers that want to make sure they have every bit of required information about their new customers.[read more]

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Is Your IT Architecture Ready for Big Data?

January 5, 2015 by Paul Barsch

Risky Business column.

Companies desperately need to assess their current situation and future business needs, and then design and deliver on a IT architecture that will deliver insights from all data types.[read more]

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The World’s Largest, Fastest, Most Agile Supply Chain

December 31, 2014 by Keith Peterson

Supply chain.

There is one shipping firm in the world, maybe the galaxy, that is counted on more than FedEx, UPS, and DHL combined. In fact, this organization has an even more complex supply chain. It takes its own orders, makes its own goods, and ships them all in one night.[read more]

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Business (NOT) as Usual: 3 Big Business Intelligence Predictions for 2015

December 30, 2014 by Ray Major

BI.

Each year, I work with dozens of clients in a quest to help them effectively implement their Business Intelligence systems. And each year, based on my experiences, I have put together a top 10 list of trends and predictions for the upcoming year.[read more]

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My 7 Big Data Favorites of 2014

December 24, 2014 by Tamara Dull

The Big Data MOPS Series.

To put a nice bow on this year’s big data discussion, I’d like to share some of my favorite content from 2014 from around the web. It wasn’t easy, but I narrowed the list down to 7 items, including articles, a comic book, a white paper, an infographic, and a video. Check out the list and see what you think.[read more]

How to Improve Your Receivables Position With Better Risk Analysis

December 23, 2014 by Keith Peterson
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Risk analysis.

If you drive a car then you know what a dashboard is. There are two main gauges that we are all very familiar with – the speedometer and the fuel gauge. The other gauges we don’t usually take much notice of. It is a similar story if you are running a business – the speedo is revenue and the fuel gauge is money in the bank, and it is those two measures most businesses keep an eagle eye on.[read more]

Unify Brand, Agency, and Technology Efforts with Your Customer Data

December 21, 2014 by Rishi Shah

Park City, Utah.

While it may be a new concept for brands, owning and controlling your customer data does not need to be as daunting as it sounds. It’s as straightforward as listing your priorities, looking at what you’re bringing in-house from the agency, finding a technology partner that breaks down barriers instead of erecting them, and asking for data in its raw format so that you can use it, grow it and benefit from it.[read more]

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Cyber Security: Locking Out the Grinch from Your Application Network

December 18, 2014 by Bob Dvorak

Security.

How do you leave your chimney open for Santa while keeping the Grinch safely locked out? The right application management strategy can help outline where vulnerabilities lie and how to fix security weaknesses, minimizing your organization’s overall attack surface.[read more]

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5 Ways Smart Use of Credit Data Can Save Businesses Money

December 18, 2014 by Mark Halstead

Credit data.

There are an ever-expanding variety of ways in which big data and analytics of all kinds can save and make money for companies in a huge range of industries. But how exactly can seamless and straightforward access to comprehensively credit data save your business money?[read more]

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New Generation of Technology Will Rely on Analytics, Study Shows

December 16, 2014 by Jeff Brown

“We are in a time of profound change for business, technology and IT leadership,” said Leon Kappelman, Ph.D., Professor at the University of North Texas and SIM’s lead researcher and Professor of Information Systems at the University of North Texas. “Results show the focus of IT organizations and their leaders is changing, with a new emphasis on business value, strategy, innovation and speed.”[read more]

The Well-Architected Data Model: Can an Industry Data Model Support Physical Instantiation?

December 11, 2014 by Ryan Garrett

Data.

A recent blog “Why use an Industry Data Model?” discussed how industry data models bring exceptional business value to customers by providing a logical “blueprint” for data integration and enterprise analytics within well-defined business spaces. If this data model is expanded to include a template industry physical data model (iPDM), can the model realistically be expected to support a database physical implementation?[read more]

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Big Data and the Internet of Things: Two Sides of the Same Coin?

December 10, 2014 by Tamara Dull
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The Big Data MOPS Series.

What is the relationship between big data and the Internet of Things? There is clearly a relationship between big data and IoT. The Mauritius conference helps confirm that. In fact, I would propose that big data is a subset of the IoT discussion.[read more]

How to Stay Out of Cash Flow Crises Using Cash Position Analysis

December 10, 2014 by Keith Peterson

Cash position analysis.

Cash flow is the lifeblood of every company. Diligent financial analysis, including the Cash Position Waterfall, is an essential component to monitoring the current health of your business. However not all of us are financial analysts who like to wade through detailed spreadsheets.[read more]