Tag Archives: quality

Five Whys as an Approach to Data Governance

We were recently reintroduced to the "5 Whys" concept, which we first learned of many years ago as part of Lean Six Sigma training. When it's appropriate, it can be an elegant and useful tool to...
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Managing Data Sprawl

Recently we discussed the concept of data sprawl. We find ourselves very much in the era of data sprawl, with so much data available for capture, so many specialized tools for its collection and...

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Paths to Data Resiliency

As data practitioners, we assume that even the most skilled user can and will make mistakes, and we have a number of safeguards in place to prevent or remediate them. When users are entering an...

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Wealth of Resources on Data Governance and Data Intelligence Topics and Components

We have a great deal of resources (blog posts, videos, and recorded webinars)  related to a variety of topics and components in data governance (or what we call data intelligence). Topics include: ...

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Some Thoughts on Data Literacy and Data Quality

Last week we presented a webinar in our Data Governance--Best Practices series on data quality. Among the recommended practices were identifying the specific type of data quality issue (or issues)...

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Why Don't We Trust Our Data? And What Can We Do about It?

One of the reasons we got into this business was a desire to help organizations make better use of data. Over the years we have worked with hundreds of organizations to introduce data into the...

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Doing More with Your Data Starts with Asking Better Questions About It

Over the past few months, we have explored the concept of data literacy in an individual and organizational capacity. Organizations are being pushed to be more data-centric just to keep up with the...

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Understanding the Data Quality Issue Resolution Process

It is important for an organization to resolve data quality issues quickly so that information can be trusted and used. For this to happen, individuals that use data must understand the data quality...

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Resources for the Many Components of Data Governance

Data governance (or what we call data intelligence) consists of many components including data system inventory, data request, data stewardship, reference data, data lineage, business glossary, data...

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Reframing Data Quality Problems

When we speak with new or prospective clients, the topic of their organization's data quality often comes up. And it's frequently our experience that when someone who is not data-savvy thinks their...

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The Many Parts of Data Quality (and Resources)

An important component of data governance (also known as data intelligence) is data quality. But there are many parts to data quality including sources of data quality, issues, their impact, people...

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Improve Data Quality - Do These Actions Part 2

A data quality program can be any size. Whether large or small, the key thing is to have a plan and to use processes that are predictable and repeatable. A haphazard or unpredictable approach will...

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Improve Data Quality - Do These Actions Part 1

A data quality program can be any size. Whether large or small, the key thing is to have a plan and to use processes that are predictable and repeatable. A haphazard or unpredictable approach will...

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Data Quality Responsibilities at All Levels

Building a culture that fosters data quality is the job of everyone in your organization (such as a higher education institution), from front line staff in various functional departments such as...

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Brainstorming About Data Quality

Data quality can be improved at any organization including higher education institutions. And it is a team effort with thoughts from many. To do this, we suggest getting individuals into a room...

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Internal Communication Regarding Data Quality

Internal communication is a key process in the success of a data quality program at an organization. To build trust in your data you want to be as transparent as possible regarding data quality. If...

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15 Thoughts on Improving Data Quality

Data quality is an important piece to data governance (data intelligence) and thus important for organizations including higher education institution. During our various webinars and blog posts we...

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Data Quality Content

Data quality is an important component of data governance and data intelligence at higher education institutions and organizations. Data quality includes people, processes and content. This blog post...

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Impacts and Sources of Data Quality Problems

Data quality is a key component of data governance (also called data intelligence). This post lists impacts of poor quality data and identifies sources of poor quality data. If you can’t get traction...

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Data Quality Issues

In an earlier post we covered components of a data quality programdata quality rules and data quality assessments. The last post in this Data Quality series recommends a process to address data...

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Assess Data Quality Within Data Systems

In an earlier post we covered components of a data quality program and data quality rules.  Today we want to discuss data quality assessment or measurement.  

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Do You Know Where Your Data Has Been and What It’s Been Doing?

The profusion of data sources and systems organizations including higher education introduces plenty of challenges (headaches?) for data managers and consumers. One of the most difficult challenges...

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Data Quality Rules

In an earlier post we described the components of a data quality program. Today we will discuss one of those components - data quality rules and a catalog to organize the rules. A data quality rule...

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Data Quality Programs

Data quality is critical at organizations such as universities. This post, one in a series on data quality, introduces data quality programs. Learn about the tasks involved and the benefits of a data...

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Building a Better Data Culture

Anyone who's ever attended a Data Cookbook demonstration, or heard us talk about it at a higher education conference, has heard us say this: "Reporting is not a technology problem." While we think...

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