Data quality news -

Making the most out of big data investments

Fri, 19 Apr 2013 12:06:16 +0100

Most business decision makers would agree that data is valuable.

Is your data smart or just big?

Thu, 18 Apr 2013 12:18:12 +0100

The analytics strategy is at the heart of most businesses' plans for the next few years, with dreams of velocity, veracity, volume and variety inspiring their investments.

Why businesses need to be picky about their data quality

Thu, 18 Apr 2013 11:13:16 +0100

In a recent post for the Obsessive-Compulsive Data Quality blog, Jim Harris discusses the famous request made by former Van Halen singer David Lee Roth

Break down departmental silos for better data quality, faster answers

Wed, 17 Apr 2013 12:59:48 +0100

During the past year-and-a-half, big data has surfaced as the most attention-grabbing business strategy because it promises to generate actionable insights through the enormity of its reach.

Companies realizing the impacts of data decay

Wed, 17 Apr 2013 12:34:09 +0100

The buzz about big data's enormous potential might be so loud that it's drowning out other important aspects of information management.

Four ways to clean up your company's data quality

Mon, 15 Apr 2013 15:01:42 +0100

When the information technology industry first caught wind that data was rapidly gaining interest, mass and speed, they may have been so focused on the potential that they didn't see the ways in which it could possibly get off track.

Big data success involves finding the gems and ditching the duds

Fri, 12 Apr 2013 12:56:08 +0100

As a result of the buzz that started in 2012 and carried over into the new year, most companies are aware of big data and the potential benefits it can offer their organizations.

Bad data quality can have serious consequences

Thu, 11 Apr 2013 17:04:47 +0100

With the 2.5 exabytes of information that are being generated on a daily basis, and flowing into users' platforms, it seems like a reasonable assumption that some of that information will be affected by poor data quality, such as inaccuracies or content that is slightly off the mark.

HR professionals making 'big' discoveries with their data deployments

Wed, 10 Apr 2013 17:25:48 +0100

As business intelligence tactics are applied on a wider scale, it's crucial that companies also incorporate the necessary data quality tools, such as address management, to guarantee that all of the information they used is absolutely accurate.

Simple strategies to keep your data out of the corner

Tue, 09 Apr 2013 08:50:47 +0100

When unstructured and structured content is reconfigured in the correct ways and analyzed by experts, users can spot surprising correlations that are considered business valuable insights.

Achieve data quality improvement by first admitting you have a problem

Mon, 08 Apr 2013 21:23:24 +0100

Data quality was once a little-known field that was a fledgling part of the internet age, according to Dylan Jones in a recently post for The Data Roundtable blog.

Are companies measuring the costs of data quality when they invest in big data

Mon, 08 Apr 2013 13:05:50 +0100

Predictive analytics has finally taken off, now that the technology costs have dropped and awareness has grown.

Making the case for data quality

Mon, 08 Apr 2013 12:28:22 +0100

Some businesses are so busy imagining the potential of big data that they aren't thinking about the potential consequences that can come with it, if the information is corrupt with bad data quality.

Human influence important to big data outcomes

Fri, 05 Apr 2013 13:48:58 +0100

Companies are excited about big data because it fundamentally changes the way decisions are made.

Three ways to make 'OK' data quality better

Thu, 04 Apr 2013 12:00:09 +0100

While companies are discovering the consequences that come with foregoing address management systems and other quality control tools, they may not improve unless they make it a priority.

As big data proliferates, challenges and advantages emerge

Wed, 03 Apr 2013 17:20:09 +0100

Big data might still be the most significant buzz world in the IT industry, it's likely that this won't always be the case.

Connect the dots between big data and business success

Wed, 03 Apr 2013 09:24:18 +0100

Capturing the potential of big data requires complementary investments in address management systems, governance plans and regular maintenance to ensure all of the small data is right first.

IBM using big data to learn about best, worst places to drive

Wed, 03 Apr 2013 09:07:10 +0100

Big data's uses may seem endless as long as huge piles of diverse content are being collected and checked for data quality.

Use data quality to seize new opportunities

Wed, 03 Apr 2013 08:49:22 +0100

If companies haven't already made investments in big data, there is a strong chance they will in the future.

Data quality measures steer users down the right path

Mon, 01 Apr 2013 17:47:32 +0100

The phrase "big data" yields excitement or concern, depending on who you ask.

Round-up of March news articles

Mon, 01 Apr 2013 12:40:28 +0100

As the dust settles on the exciting possibilities of advanced analytics, adopters are recognizing a number of things.

Keeping data quality mistakes out of end-results

Wed, 27 Mar 2013 16:00:00 +0000

It's crucial for big data adopters to fully understand the value of data quality and invest in address management systems to complement their databases.

Turning big data wish lists into results

Tue, 26 Mar 2013 16:40:26 +0000

Big data adopters can get hung up on their analytics wish lists and lose sight of whether their information has good data quality and is actually turning into results.

Use data quality to refine big data results

Tue, 26 Mar 2013 16:15:44 +0000

Companies must be careful putting their trust in advanced analytics if they are not sure about the data quality going in to their systems

Big success with data stems from simplicity and strategy

Fri, 22 Mar 2013 16:05:06 +0000

Decision makers are too often dazzled by the allure of big data that they implement plans that do not help them achieve their business goals.