Inside the circle of trust: Data management for modern enterprises

Inside the circle of trust: Data management for modern enterprises

Erin Haselkorn, Senior Manager of Analyst & Public Relations

Sean Coombs, Senior Content Marketer

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1. Our methodology

2. How good data powers business opportunities

3. Why trusted data is essential for strategic objectives

4. What challenges organizations face regarding their data accuracy

5. What modern data management practices look like

6. How you can build confidence in your data.

What we’ll cover

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We spoke to

1,400Data management

professionals

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Revenue, reputation, regulation: there’s a lot on the line when it comes to your data.

2/23/2017

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Top drivers for business opportunities

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Why businesses maintain high-quality data

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A lack of confidence undermining objectives

Of organizations globally trust their data to make important business decisions.

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Diminished trust leads to workarounds.

Of organizations say that they rely on educated guesses or gut feelings to make decisions.

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Say that a lack of confidence in data contributes to an increased threat of non-compliance and regulatory penalties.

Workarounds lead to increased risk.

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Only trusted data is worth having.

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Challenges for trust

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of their organizations’ data is inaccurate.

C-level executives believe

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How to build confidence in your data

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The pillars of trustworthy data

Credibility

Origination

Reliability

Transparency

Value

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Trusted information needs data quality

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The current state of data management

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Central control of data quality

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Department influence

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Data management projects in 2017

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The benefits of data quality investments

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New roles for 2017

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Getting inside the circle of trust.

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Questions?

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Thank you!

Download the 2017 global data management benchmark reportto see all of our findings!