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Big Data

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]

Smart Cities Technology: Opportunities for Midsized Vendors

October 22, 2014 by Julie Hunt

Smart city.

The term 'smart city' is becoming familiar around the world as urban areas realize that a great deal of benefit can come from connecting physical and digital worlds to better serve the needs of citizens and the administration of the city. A smart city doesn't just result from changes in infrastructure and technologies – it must embody new ways of thinking and planning.[read more]

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Addressing 5 Objections to Big Data

October 22, 2014 by Gil Allouche
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Objections to big data.

For many businesses, especially smaller ones, big data can be almost incomprehensible and understandably so. There are so many different parts to it that if you take one look you may think it’s just too much for your business to ever use. Again, this is where big data in the cloud is so important.[read more]

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The Big Data Capacity Crisis

October 21, 2014 by Bernard Marr

The Big Data Guru column.

With the amount of data being generated worldwide increasing at a rate of 40%-60% per year (depending on who you believe), some people certainly think so. The EMC Corporation’s Digital Universe 2014 report states “data is growing so fast there are bound to be difficulties ahead.”[read more]

How to Compare Business Intelligence Cloud Costs and Features

October 20, 2014 by Jason Bowden

BI cloud features.

As an IT provider, I am overwhelmed with all the options for Business Intelligence in the cloud and very confused by how to compare service offerings in order to effective provide the best solutions. In the article we will discuss some of the different offerings on the market and why all business are racing toward the cloud for Business Intelligence Solutions.[read more]

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How to Create Users in Oracle BI (OBIEE) and WebLogic Tutorial

October 15, 2014 by Julie Johnson

Oracle BI.

This short guide will take you through the process of creating new users in Oracle OBIEE and WebLogic as well as introducing security concepts including the use of security groups and application roles to control data access.[read more]

Data Integration Is the Schema in Between

October 14, 2014 by MIKE20 Governance Association

Data integration.

The third of the five biggest data myths debunked by Gartner is big data technology will eliminate the need for data integration. The truth is big data technology excels at data acquisition, not data integration. This myth is rooted in what Gartner referred to as the schema on read approach used by big data technology to quickly acquire a variety of data from sources with multiple data formats.[read more]

Will Big Data Make the Difference in the Volvo Ocean Race?

October 14, 2014 by Mark van Rijmenam

Volvo Ocean Race.

During the last edition, Oracle Team USA used data from 300 sensors on the boat as well as 3,000 variables that ran 10 times per second to win the cup. This resulted in about 1 gigabyte of raw data per boat per day as well as 200 gigabyte of video data that had to be analyzed.[read more]

Who Gets the Call When Your Analytics Process Crashes?

October 10, 2014 by Bill Franks

Analytics matters.

I recently had a meeting with one of the largest companies in the world, where we discussed concerns about ongoing maintenance and, more importantly, ongoing repair required for analytics processes. The conversation helped solidify in my mind a major disconnect that often occurs when organizations deploy an analytics process into a production setting. Let’s walk through that disconnect here.[read more]

Billboards, Brand Awareness and Big Data: What Comedy Central and Gallery Furniture Have in Common

October 10, 2014 by Tracey Wallace

Billboards.

Traditional advertising relies on influencing the influencers, and gaining enough impressions that you can reasonably determine an ad’s spend produced sufficient ROI. As of now, there are no hard numbers to back that up, which is why so many brands put their traditional ad spend to play in areas with proven influencer viability, for instance Times Square, Hollywood or Vegas.[read more]

Big Data Equals Big Jobs: New Educational Programs to Help You Snag the Sexiest Jobs in the Industry

October 9, 2014 by Trips Reddy

Education and big data.

Whether you look at companies in finance, retail, healthcare, entertainment, sports or education, their big data needs will only grow in size and sophistication which in turn means they’ll need the right people and tools to gain a competitive edge and stay ahead of the game.[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]

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Whose Story Are You Telling?

October 8, 2014 by Tamara Dull

The Big Data MOPS Series.

You have limited (if any) control over what others share about you, but you do have control over what you share about yourself and others. Just because you have someone’s personal information doesn’t mean you have to share or act on it. Remember: It may not be your story to tell.[read more]

Data Ownership Ushers in Dawn of the Private API

October 8, 2014 by Tracey Wallace

Data ownership.

Twitter, once the industry leader in the public API space, announced their public API 2.0 version, which is much more restrictive toward third-party developers, and is causing the shuttering of multiple startups including the popular TwitPic. Essentially, Twitter is attempting to drive more users to adopt the company’s own channels by restricting third-party users like TwitPic, ultimately resulting in better monetization and control for Twitter itself.[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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