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The Value of Data Governance and How to Quantify It

erwin

Pörschmann highlighted at the beginning of the series, data governance works best when it is strongly aligned with the drivers, motivations and goals of the business. The business drivers and motivation should be the starting point for any data governance initiative. Risk Management and Regulatory Compliance.

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Top 10 business needs driving IT spending today

CIO Business Intelligence

More specifically, Rasmussen is boosting her spend on cybersecurity to help manage risk, a key element for enabling Ceridian’s planned global expansion. They’re also spending on data and analytics projects as a way to become more efficient, drive productivity, and support profitability. Cybersecurity needs driving IT spending.

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7 sins of digital transformation

CIO Business Intelligence

Business drivers for the first wave of digital transformation through 2020 targeted growth, data capabilities, cloud migration, and delivering competitive technology capabilities. All three must align business and data-management strategies, complemented by streamlined data and analytics capabilities.”

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Why Data Governance Is Crucial for All Enterprise-Level Businesses

Cloudera

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Even the COVID-19 pandemic and the acceleration to digital transformation — when data and data insights became two of the main business drivers — haven’t improved the situation.

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3 Essential Cybersecurity Strategies for 2020

CDW Research Hub

As you develop your IAM strategy, be sure to involve key stakeholders to enable successful identification of business drivers, desired outcomes and success criteria. Identify and reduce your cloud vendor risk. As your organization moves to cloud services and applications, it’s important to identify the associated risks.

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The Never-Ending Evolution of Data Governance

erwin

They are developing processes, rules and policies that will be applied to data going forward to ensure compliance and reduce risk. A great example of this is seen in new business drivers that are in alignment with data governance programs and strategies. They are defining and classifying data.

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Using Technology to Add Value in Insurance

Decision Management Solutions

Manage Risk Better (aka underwriting and adjusting). And that while some of these will require an investment in technology, that investment should be framed in terms of those business drivers. On the risk management front, we have begun working with some insurers to automate underwriting and pricing. Sell More.