Our network

Data Quality

Analytic Applications are Built by Data Scientists

February 2, 2012 by David Smith
with 253 views
1

Photo by Torley via Flickr

Ventana Research analyst David Menninger was on the judging panel for the Applications of R in Business contest. In a post on the Ventana research blog, he offers his perspectives on the contest, noting that R, as a statistical package, includes many algorithms for predictive analytics, including regression, clustering, classification,... [read more]

Is Social Analytics Better at Tracking Disease?

January 27, 2012 by Brett Stupakevich
with 119 views
0

This type of analytics falls right in line with what Vivek Ranadivé, TIBCO’s founder and CEO says about the two-second advantage, “A little bit of the right information, just a little bit beforehand – whether it is a couple of seconds, minutes or hours – is more valuable than all of the information in the world six months later . . . this is the two-second advantage.” [read more]

Big Data, Enterprise Data and Discrete Data

January 25, 2012 by Steve Sarsfield
with 153 views
0

An organization’s data management maturity plays a role in big and little data. If you’re still managing your customer list in a spreadsheet, it’s probably something you started when your company was fairly young. Now, the uses for the data should be expanded and you are still stuck in the young company’s process. Something that was agile when you were young is inefficient today. [read more]

The Data Analytics of the NFL Playoffs

January 20, 2012 by Brett Stupakevich
with 174 views
0

Jeff MacGregor, a senior writer for ESPN.com, made a good point this past week: “If stats, science, and analysts really predicted the outcome, would we watch?” His piece centered on quarterbacks and the fact that no one who predicted the “Year of the Quarterback” would have Eli Manning beating Aaron Rodgers. [read more]

As Chief Yahoo Resigns, Can Big Data Save Stumbling Company?

January 18, 2012 by Brett Stupakevich
with 195 views
0

...in much the same way retailers do to figure out where to locate their stores and how they affect consumer spending. Dignan says Yahoo’s biggest asset is data and if Thompson can harness that data, Yahoo might be able to save itself and create value for its shareholders without having to go private, break up or sell out. [read more]

exclusive

Big Data - Quantity vs Quality: Don’t confuse lots of data with good data

January 17, 2012 by Rob Armstrong
with 598 views
0

chalabala/shutterstock

The problem is rumblings that some people think that just getting into the big data game will solve their woes, and that is not the case. Many companies do not even have a handle on the “small data” (if I can coin a term here). [read more]

How the Consumerization of Data Leads to More Quality of Life Improvements

January 11, 2012 by Brett Stupakevich
with 113 views
0

In the second post of our series about how people everywhere can use data and tools to make the world a better place, we told you about the potential of big data to advance important social goals in areas such as disease surveillance, student curricula, and microcredit. [read more]

How Big is Big Data?

January 2, 2012 by Esteban Kolsky
with 313 views
2

Konstantin Mironov/shutterstock

I have been doing a lot of behind the scenes work lately (talking on the phone or in person with lots and lots of people – and also being sick and unable to write or talk, but thinking).  There are many good things that will come out of this past month of misery and agony (OK, not that bad — but gotta keep up the drama queen... [read more]

Understanding, Improving & Controlling the Data Landscape -- Part 1

December 30, 2011 by Phil Wright
with 78 views
0

Sergej Khakimullin/shutterstock

Within this post I want to outline the core components of Understanding the data landscape. Each has equal importance and should be seen as a complementing partner to the next. I would consider an exercise where only one component is achieved to be lacking in the aim of providing a complete understanding of the data landscape. [read more]

Data Batting Averages

December 29, 2011 by MIKE20 Governance Association
with 29 views
0

The companies that manage data exceptionally well today aren’t complacent. Even “hitting” .990 means potentially tens or hundreds of thousands of errors. While perfection may never be attainable, the Facebooks and Googles of the world are constantly tweaking their systems and processes in the hope of getting better and better. This is an important lesson for every organization. [read more]

System Agility, Data Agility

December 26, 2011 by Matthew Hurst
with 88 views
0

"It is quite possible, and somewhat common, to build data processing systems which depend on some specific distribution of features in the input data." [read more]

How to Use Pivot Tables to Mine Your Data

December 19, 2011 by Jay Arthur
with 371 views
0

Here is a detailed example of using Pivot Tables to mine your data. These examples use Excel along with QI Macros for Excel. [read more]

'Garbage in, garbage out' -- with a 2012 Twist

December 19, 2011 by Joe McKendrick
with 44 views
0

"Taking that thought up a level, there has been no shortage of organizations that thought by buying and throwing in expensive new technology into their enterprises, they would suddenly become more agile and forward-thinking. That’s certainly been one of the challenges with SOA, over the years, with many companies feeling disappointed when service orientation of their systems and applications did not turn them into super-competitors." [read more]

How to Share Bad Project News

December 16, 2011 by MIKE20 Governance Association
with 46 views
0

"It’s not the first time a company has wasted a lot of money. I saw your boss and mentioned this to him. His face turned red, but it was an understanding shade of red." [read more]

Social Data – Understanding the Context and the Audience

December 15, 2011 by Mark Bradbourne
with 91 views
0

"Social data is one of the many new frontiers within the spectrum of Business Intelligence. If you stop and think about the amount of data that Facebook and Twitter generate on a daily or even hourly basis it is staggering! Facebook states it have over 30,000 servers and generates 25 terabytes of log files a day! Twitter does analytics of its data, like this example from the last Super Bowl,..." [read more]

exclusive

The Truth about Social Media Analytics

December 15, 2011 by Meta S. Brown
with 1,265 views
3

Social media analytics - you want the truth? It’s messy, it’s awkward, and the results should be reviewed on an ongoing basis by people with good training and very suspicious minds. But it’s still useful. [read more]