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Featured Article
In a new form of "shadow IT", Line-of-Business (LOB) groups have been turning to cloud-based services to quickly set up technology solutions that support their business needs and objectives.
IT teams are already carrying heavy workloads with ever-shrinking staffing levels, and frequently don't have the resources to immediately respond to time-sensitive LOB needs. However without IT involvement, these LOB groups do not usually have the expertise to understand the implications of creating data in the cloud and its relationship not only to data in other Software-as-a-Service (SaaS) / cloud offerings, but to on-premises systems as well. These business users need a partnership with IT to ensure that comprehensive data management processes are put into practice.
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 I've been asked this question many times: why is implementing an MDM solution so difficult? The short answer is MDM includes technical and business challenges, and encompasses a set of disciplines that are pervasive to the organization. But in this article, I'd like to focus on one particular aspect: establishing a system of record (SOR). Continue reading |
 Data governance can be seen as formalized policies, practices and processes set up to manage voluminous data assets across enterprises. Data governance also sits on an important growing convergence that encompasses multiple, and frequently separate, disciplines: data quality, data integration, master data management (MDM), business process management (BPM), business intelligence (BI) and analytics. Continue reading |
 "Golden copy" is a term widely used in master data management (MDM), as we often see the master data hub as a golden copy of the data in the company's operational databases. The golden records in the hub are formed from the master data records typically describing the customers, suppliers, products and locations in the transactions made in the enterprise application stack. In the master data hub, we emphasize consolidating, and eventually also splitting, the master data (to be) from different contexts into golden records being as close to the real world as needed in the enterprise as a whole. Continue reading |
 A three level model can work well at a lot of companies:
Data Governance Steering Committee: a cross-functional, executive level group that makes policy decisions, provides funding, resolves escalated issues, and provides strategic direction.
The Data Governance Office (DGO) is charged with coordinating data governance (strategic) and stewardship (tactical) activities. It manages communications from the Steering Committee to all stakeholders.
One or more tactical groups (Data Stewardship Teams) in each functional area and geography (if needed), which provide guidance to individuals with data stewardship responsibilities.
However, what's most important is to have the organizational structure that will work in your company. Continue reading |
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Why is this stuff so hard? Companies aren't used to governing data across the enterprise. It goes against their instincts, to break things up into units or silos to make them more manageable. Where they do have data governance in place, it's usually done at an application or business unit level. Continue reading |
 Something that Hub Designs recommends early in a new Data Governance program is using a Data Governance Maturity Model to realistically assess how you currently govern data at the enterprise-wide level. This is helpful so that you'll know where you're starting from where the four dimensions of People, Process, Technology and Information are concerned, before embarking on your initiative. Continue reading |
The most important thing about data governance is to "start from where you are". Most companies are just getting started on their data governance journey. It can be hard to admit that your company is at data governance maturity level 0 or 1. But the most critical step is the first one - getting started. Continue reading |
Research analysts like Gartner and thought leaders all around the world agree that information should be reliable, as it underpins many operational and strategic business decisions.
Along this line, information governance is an emerging business strategy attempting to regain competitive advantage from earlier investments in data management technologies.
In a recent survey, IBM found that 65% of companies from various sectors across the USA are eager to roll out information governance even before the next business year ends. The question however remains: what is information governance about and how exactly should it be implemented? Is there a one-size-fits-all approach as claimed by many software vendors, or does every organization require a unique plan? Continue reading |
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