erwin Expert Blog

Healthcare data governance has far more applications than just meeting compliance standards. Healthcare costs are always a topic of discussion, as is the state of health insurance and policies like the Affordable Care Act (ACA). Costs and policy are among a number of significant trends called out in the executive summary of the Stanford Medicine...

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For organizations operating in financial services data governance is becoming increasingly more important. When financial services industry board members and executives gathered for EY’s Financial Services Leadership Summit in early 2018, data was a major topic of conversation. Attendees referred to data as “the new oil” and “the new currency,” and with good reason. Financial...

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Getting the most out of your data requires getting a handle on data lineage. That’s knowing what data you have, where it is, and where it came from – plus understanding its quality and value to the organization. But you can’t understand your data in a business context much less track data lineage, its physical...

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Aligning business and IT is a serious goal for modern organizations. The rapid pace of technological innovation requires the introduction of new tools and processes to cope. The importance of business and IT alignment is widely understood and  reflected in the concept’s prevalence in IT-maturity and best-practice conversations. What’s less understood is the substance:  what...

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A business glossary is crucial to any data governance strategy, yet it is often overlooked. Consider this – no one likes unpleasant surprises, especially in business. So when it comes to objectively understanding what’s happening from the top of the sales funnel to the bottom line of finance, everyone wants – and needs – to...

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Data preparation is notorious for being the most time-consuming area of data management. It’s also expensive. “Surveys show the vast majority of time is spent on this repetitive task, with some estimates showing it takes up as much as 80% of a data professional’s time,” according to Information Week. And a Trifacta study notes that...

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Data governance (DG) is becoming more commonplace because of data-driven business, yet defining DG and putting into sound practice is still difficult for many organizations. The absence of a standard approach to defining DG could be down to its history of missed expectations, false starts and negative perceptions about it being expensive, intrusive, impeding innovation and...

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Sep
28
2018

The Data Governance (R)Evolution

by Mariann McDonagh

Data governance continues to evolve – and quickly. Historically, Data Governance 1.0 was siloed within IT and mainly concerned with cataloging data to support search and discovery. However, it fell short in adding value because it neglected the meaning of data assets and their relationships within the wider data landscape. Then the push for digital transformation and...

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Sep
20
2018

The ability to more efficiently govern, discover and protect sensitive data is something that all prospering data-driven organizations are constantly striving for. It’s been almost four months since the European Union’s General Data Protection Regulation (GDPR) took effect. While no fines have been issued yet, the Information Commissioner’s Office has received upwards of 500 calls...

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Due to the wealth of data data-driven organizations are tasked with handling, organizations are increasingly adopting automated data management. There are 2.5 quintillion bytes of data being created every day, and that figure is increasing in tandem with the production of and demand for Internet of Things (IoT) devices. However, Forrester reports that between 60 and...

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