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Top 7 Data Governance Blog Posts of 2018

erwin

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance.

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How Novanta’s CIO mobilized its data-driven transformation

CIO Business Intelligence

My team and I are very proud of our transformation that started in 2019,” she says. When I joined, there was a lot of silo data everywhere throughout the organization, and everyone was doing their own reporting. In fact, the ROI was so high, we gained the trust of our executives to invest in a platform to begin centralizing data.”

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Why Easier Governance Is Superior Governance

Alation

A new research report by Ventana Research, Embracing Modern Data Governance , shows that modern data governance programs can drive a significantly higher ROI in a much shorter time span. And with data collection and replication growing so quickly, governance is more important than ever.

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Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

Not coincidentally – Protegrity’s platform is built from the ground up to enable this style of data security governance. What do you recommend to organizations to harness this but also show a solid ROI? Ideally the decision of how to protect data should be treated like any other data governance policy.

Insurance 150
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The 10 Essential SaaS Trends You Should Watch Out For In 2020

datapine

2019 was a breakthrough year for the SaaS world in many ways. Indeed, according to Bloomberg, public cloud platforms, business services, and applications (SaaS) will all grow at a 9% CAGR (Compound Annual Growth Rate) between 2019 and 2023, and worth $60.36 A Betterbuys report reveals that the specific expenditure in the U.S.

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. First and foremost: there’s substantial overlap between what the scientific community is working toward for scholarly infrastructure and some of the current needs of data governance in industry. Sci Foo 2019.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

See The Future of Data and Analytics: Reengineering the Decision, 2025. You mentioned a few times that most enterprises are not good at data governance. Data Governance has not only D&A and software angle but has a lot of process angle. Which tools would you recommend for getting governance in place?