IData Insights

Data System Inventory - Resources to Make It Happen

Data is everywhere at an institution in many data systems. And growing all the time. Data at an institution needs to be understood, individually and collectively, and can’t be done without a data...

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Resources for Life Cycle of Data Requests

An important data governance process to have is an established data request process that is known and easy to use. This process should provide accurate and trusted information.   Often one data...

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What Are You Doing with Your Data?

Information – or the possession of information – is seen as a kind of power, and some people are loath to give it up. While some individuals hoard information for venal or nefarious purposes, in...

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Student Data Privacy

This post is about student data privacy which is a big issue at higher education institutions.  We’ll discuss how student data privacy fits ethically, legally and financially.  Third party access...

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Are You Ready for CCPA? Here are Some Actions to Take

The California Consumer Privacy Act (CCPA) takes effect January 1, 2020.  This regulation, much like GDPR, provides greater protection to an individual’s personal information and how this...

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The More Things Change ...

IData Inc. has been in business since 2004, and we’ve performed a lot of different work for hundreds of clients in that time. It’s a little bit amazing then, how little some of the complaints we...

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Don't Use Committees for Data Governance Content

Is your data governance content (report requests, data dumps, data definitions, etc.) taking too long to produce or doesn’t seem to be as effective as they should be?  Content is like a continual...

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Data Governance Breaks Down Silos (Data and Organizational)

In this post we’ll discuss the types of silos that exist at higher education institutions, data brawling, data culture, shadow systems, benefits of breaking down the silos and what actions can be...

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The Many Parts of Data Quality (and Resources)

An important component of data governance is data quality.  But there are many parts to data quality including sources of data quality, issues, their impact, people roles, content and processes.  In...

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From Acquisition to Disposition: Data Management Pitfalls throughout Your Data's Lifecycle

This post is some of our thoughts on data management issues throughout the data lifecycle including loss of focus, upkeep priority, security access and disposition of data.

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