Tag Archives: idata

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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Data Stewardship is Critical - Here are Some Resources

Data stewardship is an important part of data governance (also referred to as data intelligence) and thus an important part of the success of the organization. A key part of data governance is...

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Setting the Proper Stage for Data Stewards

To have successful data governance (or data intelligence or data management) you need to have data stewardship. And for data stewards to be successful you need to provide them with the proper...

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Data Steward Principles

For folks identified as data stewards there are a few principles you should follow which are: being helpful, being a problem solver, being a creator, being a protector and being positive. Data...

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Evaluate Your Data Governance Processes

This blog post will show you how to evaluate your data governance (also referred to as data intelligence) processes so that they can be improved, thus improving the organization’s efficiency and...

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Data Steward Matrix

The ideal situation is to have people on staff who are experienced and knowledgeable.  And have data stewards who can do a variety of tasks effectively. 

This blog post will cover the steps to create...

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Data System Inventory - Resources to Make It Happen

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

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Resources for Best Practices and Life Cycle of Data Requests

An important data governance (also referred to as data intelligence) process to have is an established data request process (such as a request for a new report) that is known and easy to use. This...

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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 to...

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Don't Use Committees for Data Governance Content

Is your data governance (or data intelligence) content (report requests, data dumps, data systems inventory, data definitions, etc.) taking too long to produce or does not seem to be as effective as...

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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 organizations (such as higher education institutions), data brawling, data culture, shadow systems, benefits of breaking down the silos and...

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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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Better, Inexpensive Way to Establish Data Governance in Higher Education

We are a firm believer of just-in-time data governance. In this blog post we will cover less expensive, better ways to do data governance (data intelligence) over the more typical (and more costly)...

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How to Improve Your Institutional Reporting

Reporting can always be improved. It is often not the reporting technology being used that is the problem. Usually it comes down to people and processes. In this post we share some thoughts on...

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Integration Health Score and Annual Assessment

How healthy are your institution’s integrations? You probably have many integrations (and the list is probably getting longer) such as your Admissions CRM to Student Information System integration or...

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Achieving Successful Reporting is Not a Technology Problem

While some organizations have been successful with a wide range of reporting tools, many others struggle with the same tools. We feel it is because organizational reporting or analytics problems are...

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System Integration Project Best Practices - Part 2

In a previous post we covered 5 best practices in a system integration project.  Here we will cover 6 more best practices which are:

  1. Build a complete data mapping document
  2. Get approval on the...
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System Integration Project Best Practices - Part 1

In this post we cover 5 best practices for system integration projects and how data governance (data intelligence) can help.  In a following post we cover 6 additional best practices. Here are the 1st...

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Fit Data Governance into Your Higher Education Institution's Culture

In this blog post we’ll discuss the institution culture that will maximize the benefit of data governance at all levels. And that data governance needs to be a part of your higher education...

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System Integration Challenges

There are many challenges in integrating 2 data systems. In this post we will cover the following challenges: lack of skills, lack of money, lack of resources, poor communication/planning, after...

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Integration Best Practices After Go Live

Integration between data systems is a key part of data management. As more data systems are used in an organization, system integrations are becoming even more critical. Data system exchanges...

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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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Top 10 IT Issues in 2019 in Higher Education are Data-related Dominated

Data dominates on EDUCAUSE’s annual list of the “top 10 IT issues” for higher education institutions as 5 of the issues are about data. Focus this year is about achieving trusted data and putting...

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