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data governance initiative

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Published By: SAS     Published Date: Apr 16, 2015
The framework presented here is a way to avoid data dysfunction via a coordinated and well-planned governance initiative. These initiatives require two elements related to the creation and management of data: • The business inputs to data strategy decisions via a policy development process. • The technology levers needed to monitor production data based on the policies. Collectively, data governance artifacts (policies, guiding principles and operating procedures) give notice to all stakeholders and let them know, “We value our data as an asset in this organization, and this is how we manage it.”
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Published By: IBM     Published Date: Jan 19, 2017
The benefits of moving data to the cloud are touted everywhere, but doing so without an information governance plan in place can cause more problems than it solves. Information governance (IG) is increasingly cited as one of the top five initiatives for companies to tackle over the next two years.
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ibm, analytics, ecm, information governance, cloud
Published By: IBM     Published Date: Aug 24, 2017
Data governance is all about managing data, by revising that data to standardize it and bring consistency to the way it is used across numerous business initiatives. What’s more, data governance ensures that critical data is available at the right time to the right person, in a standardized and reliable form. A benefit that fuels better organization of business operations, resulting in improved productivity and efficiency of that organization. Thus, the importance of proper data governance cannot be understated. The concepts of data governance have evolved, where the first iteration of data governance, often referred to as version 1.0, focused on three simplistic elements: objectives, structure and processes; having a limited focus and scope due to its tactical usage. The opportunity from the growing value of data in the realm of analytics, business intelligence, and generating insights was left unrealized. Today, organizations are moving towards what can be called Data Governance 2.0,
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ibm, unified governance strategy, data management, data governance
Published By: SAP     Published Date: Mar 24, 2011
The list of initiatives that are data-enabled-indeed, data-intensive-vary from company to company, from industry to industry. But the common denominator is an increasing awareness that these and other programs can't succeed without clean, meaningful, and available information. In this white paper, Baseline Consulting's Jill Dyché discusses how the data conversation is changing from philosophical questioning to hard-core tactics, from "What do we need?" to "Where do we start?" It covers the most common reasons for data governance failure, as well as the components of data governance that will inform the right strategy and give companies a means of determining where and how to begin their data governance journeys.
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data governance, data governance failure, data governance initiative, governance
Published By: SAS     Published Date: Mar 14, 2014
Jill Dyche and SpectraDynamo explains the importance of understanding how to manage data and issues regarding data categorization, retrieval and quality.
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sas, data categorization, retrieval and quality, spectradynamo, telemetry data, data governance program, data management, data quality
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