Remove Business Objectives Remove Data Governance Remove Data Quality Remove Reporting
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A step-by-step guide to setting up a data governance program

IBM Big Data Hub

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.

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Data architecture strategy for data quality

IBM Big Data Hub

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

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How to Build a Data Quality Strategy to Get Executive Buy-In

Octopai

And when business users don’t complain, but you know the data isn’t good enough to make these types of calls wisely, that’s an even bigger problem. How are you, as a data quality evangelist (if you’re reading this post, that must describe you at least somewhat, right?), Tie data quality directly to business objectives.

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How to rule your data world: The role of data governance

BI-Survey

Data and data management processes are everywhere in the organization so there is a growing need for a comprehensive view of business objects and data. It is therefore vital that data is subject to some form of overarching control, which should be guided by a data strategy.

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Dow CDO Chris Bruman: We needed a new approach to data quality

CIO Business Intelligence

I would rather have a few focused areas that are impactful for the business, where we can significantly make improvement, rather than hundreds of areas and barely make progress. By focusing on a few areas that are aligned to our business objectives, we get wins for the company, our customers, and our people.

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CDOs’ biggest problem? Getting colleagues to understand their role

CIO Business Intelligence

That’s according to a recent report based on a survey of CDOs by AWS in conjunction with the Chief Data Officer and Information Quality (CDOIQ) Symposium. One reason the role may be misunderstood, the report says, is because it’s relatively new. Davenport, Randy Bean, and Richard Wang. Those bridges need to be built.”

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

Without C360, businesses face missed opportunities, inaccurate reports, and disjointed customer experiences, leading to customer churn. In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges.