In a previous post we covered 5 best practices in a system integration project. Here we will cover 6 more best practices which are:
- Build a complete data mapping document
- Get approval on the...
In a previous post we covered 5 best practices in a system integration project. Here we will cover 6 more best practices which are:
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...
The data steward role is pivotal for the success of data governance and data intelligence. In a previous post we discussed the 3 data governance roles of steward, owner and custodian. The steward...
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...
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...
This post is inspired by two pieces of terminology that have seemingly been everywhere this year, and one factoid that’s been circulating for years. One term is “self-service business intelligence,”...
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...
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...
Recently we discussed the differences between a business glossary and a data dictionary, and why you are likely to need both at your organization. In this post we want to delve more deeply into the...
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...
Data governance (also called data intelligence) consists of processes and tasks that staff perform within their organization. When these activities are executed well, all data users enjoy easier...
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...
Having accessible knowledge is an important part of data governance (or also called data intelligence) and we thought in this post (and in upcoming posts) we would go back to the basics. Topic this...
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...
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...
In a previous post we shared some thoughts about shadow systems, and how they are symptomatic of poor data governance (data intelligence) practices as much as, if not more than, users seeking to...
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...
Everyone knows shadow systems are bad, and yet they still proliferate. Rather than enumerate once again why you should take pains to avoid them, we want to spend some time in this post exploring why...
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...
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...
Who owns the data at organizations and higher education institutions? Information Technology (IT) Department or the specific functional department like Admissions, Human Resources, Institutional...
This blog post discusses the perception of data governance (and data intelligence). It sounds difficult and controlling. Maybe it should be called data guidance instead. Data governance should help...
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...
In an earlier post we covered components of a data quality program, data quality rules and data quality assessments. The last post in this Data Quality series recommends a process to address data...
Data governance (data intelligence) is an organizational priority and it is critical to give all employees the resources and training to achieve this priority as soon as they walk in the door.
The...
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