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Data Quality

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Cyber Security: Locking Out the Grinch from You 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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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]

Open Data Grey Areas

December 14, 2014 by MIKE20 Governance Association

Open data.

“The trustworthiness of open data,” Boswarva explained, “depends on the particulars of the individual dataset and publisher. Some open data is robust, and some is rubbish. That doesn’t mean there’s anything wrong with open data as a concept. The same broad statement can be made about data that is available only on commercial terms. But there is a risk attached to open data that does not usually attach to commercial data.”[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]

Data Quality: The Secret Assassin of CRM?

November 25, 2014 by Martin Doyle
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Data quality

There’s a silent virus lurking in many CRMs. It’s a virus that slowly gets a foothold in the system, then slowly starts to deprive it of oxygen, choking it until it can no longer breathe. As the CRM starts to suffer, the business starts to falter. So what is the virus? The secret assassin of the CRM? It’s poor quality data.[read more]

The Half-Life of Data [INFOGRAPHIC]

November 9, 2014 by Martin Doyle

In science, the half life of a given substance could be milliseconds. It could be many thousands of years. The half life of data has been measured, and it may be shorter than you were expecting. Now, turning to B2B, we have a whole new set of challenges to face. In additional to personal data decay, we have decay associated specifically with business.[read more]

How to Get Started with Value Add Forecasting

November 6, 2014 by Ray Major

Value add forecasting.

So the promise of using statistical algorithms, forecasting and predictive analytics is now added to the list of a company’s number one priorities. There is a sense of urgency surrounding this new high profile initiative. One may ask, “What’s next?” Well, here are a few steps that you will need to take to deploy your forecasts successfully.[read more]

Data Quality: Cash Drain or Cash Gain?

October 23, 2014 by Martin Doyle

Cash drain.

According to a 2009 Gartner study, businesses estimated that they are losing an average of $8.2 million per year because of poor data quality. Five years on, we are storing, managing and relying on more data than ever before. It’s more important than ever to mitigate the risk of poor data quality by investing in solutions that work.[read more]

Spotlight on SiSense: BI Without the Bandwidth

October 9, 2014 by Shawn Gordon

Spotlight on SiSense.

I was at DataWeek/API World in mid-September 2014 (last week at the time of this writing) and saw some interesting things, almost entirely around Big Data. The two items that stood out for me, were the Graph DataBase system Neo4j (which I wish I had time and a reason to dig into more), and SiSense, who absolutely blew my mind.[read more]

Descriptive, Predictive, and Prescriptive Analytics Explained

October 8, 2014 by Ray Major
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Analytics explained.

With the flood of data available to businesses regarding their supply chain these days, companies are turning to analytics solutions to extract meaning from the huge volumes of data to help improve decision making.[read more]

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5 Big Data Hadoop Use Cases for Retail

September 30, 2014 by Sameer Nori

Hadoop for retail.

How does Apache Hadoop help retailers? Apache Hadoop is not just a data storage and processing framework - it is an transformational platform, especially for retailers who want to analyze customer data and improve revenues and the general customer experience.[read more]

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Gaining an ‘Unfair Advantage’ with Predictive Analytics

September 25, 2014 by Jeff Brown

Predictive analytics.

Predicting the future is no longer just science fiction. Data tools today are smarter, faster and more intuitive than ever before, and data scientists are making what was once viewed as futuristic capability a reality in today’s organization.[read more]

Big Data and Ford's Faster Horses

September 15, 2014 by Arent van 't Spijker

Horse? Or horseless carriage?

In the late 19th century, a New York City planner put out a warning that by 1950 the city would be completely uninhabitable. The problem, as he saw it, was that at the current growth rates the city would not be able to sustain the growing number of horses.[read more]

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Derailing Your Supply Chain BI Project

September 1, 2014 by Ray Major

Derailing a project.

Remind people that data doesn’t kill dreams. A Supply Chain Business Intelligence initiative is not a funeral service for their creativity. Quite the opposite, in fact. The insights they gain from BI will pave the way for the boldest, most creative options you’ve ever considered as a business.[read more]

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5 Powerful Ways Retailers Can Leverage Big Data and Hadoop

August 30, 2014 by Michele Nemschoff
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Leverage big data and Hadoop.

Big data isn’t just for developers and analysts in the technical arena. In today’s digital age, big data has become a powerful tool across industries. In fact, many retailers are experiencing major growth thanks to the big data industry. According to research by Monetate, retailers have big plans in store for big data. Let’s take a look at big data initiatives throughout the retail industry.[read more]