Data quality management News
March 31, 2017
Isaac Sacolick explains how two practices -- aligning agile development with IT operations, and improving data quality -- can help CIOs in driving digital transformation.
March 10, 2017
Businesses constantly need to evolve their programs for governing data. Nationwide's finance data governance team shares how it stepped up data governance strategy and processes.
February 06, 2017
SAP Enterprise Information Management (SAP EIM) portfolio has been updated to improve data quality, big data support, ease-of-use and SAP HANA integration.
September 28, 2016
Companies are now seeing the critical nature of using data intelligence and data quality within intelligent systems to understand their customers.
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Currently ranking as top job in the U.S., the data scientist role is in high demand. Here's what you need to know to succeed. Continue Reading
Most companies have data monetization opportunities they could exploit, experts say. But a clear strategy and long-term plan are crucial to getting the desired benefits. Continue Reading
In this podcast, we dig into the nuances of chief data officer jobs. They bounce between defensive privacy, compliance efforts and offensive digital innovation undertakings. Continue Reading
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Keeping track of existing data assets is increasingly difficult, but detailed curation of this vital company information can help streamline evolving digital governance processes. Continue Reading
C-suite honchos sign off on analytics tool purchases and then wonder what they've wrought. But data trust can build if practitioners make the analytics process more transparent, consultant Bill Nowacki says. Continue Reading
The Diaku Axon data governance platform is designed to assist financial institutions as well as other industries with complex regulatory compliance environments. Continue Reading
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Big data, when managed properly, can be a blessing to businesses fighting to gain greater insights and a competitive edge in the global marketplace. And it can be a curse to companies unprepared to handle the untold x-bytes of unstructured data unceasingly pouring into their coffers. That's the dilemma most organizations wake up to each day, and as a result, they capture only a fraction of the value that big data analytics promises. At no time is there greater urgency for companies to establish data handling policies and procedures that only good data governance programs can provide.
June's Business Information opens with a stern warning in our editor's note: Don't wait till it's too late to initiate a data governance program. Big data governance can be a highly complex process. Its tentacles reach into most aspects of data management, from data gathering, integration and preparation to quality control. Even more difficult is securing the cooperation of a potentially reluctant and resistant workforce intimidated by thoughts of a data police force regulating and scrutinizing their work. For those reasons, most companies have taken the path of least resistance and avoided setting up formal and reliable data governance programs -- much to their own peril.
Our cover story then stresses the importance of establishing data governance policies dedicated to placing customers first. The lack of such rules has led to customer privacy violations, millions of lost dollars in legal settlements and famous brands nearly destroyed. Data governance provides the necessary checks and balances that help companies adhere to responsible behavior when they probe into the minds and habits of their customers. In our feature, we examine companies that have taken on the challenge of governing their vast data lakes by piecing together various governance tools and mechanisms in do-it-yourself fashion. And we devote numerous more features and columns to help companies apply data governance principles in ways that can bring order to chaotic big data environments.
Also in this issue, see how a small wine shop uses ready-made big data analytics to outsmart much larger stores as they all compete in the same neighborhood for the same customers.Continue Reading
As companies amass data from multiple sources, they lose control over data quality and accuracy. Like it or not, it's time to halt the data free-for-all and apply data governance. Continue Reading
Risk analytics tools are more and more critical for CFOs seeking to improve operational efficiency. Just one problem: It can be hard to figure out just what those tools are. Continue Reading
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IoT analytics helps companies create a better customer experience by providing quality data that allows for the reduction of costs and a more efficient work day. Continue Reading
Network capacity management challenges are increasing at a faster rate than ever with the robustness of the Internet of Things. Continue Reading
Sales practices at Houghton Mifflin Harcourt were all over the place just a few years ago. But unifying teams and digitizing processes helped the publisher gain visibility into customer data. Continue Reading