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

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

StockSnap_4B1IQUY1C3_libary_dgcomponents_BPWe 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: getting started with data governance, trust in data, just-in-time data governance , people (related to data governance), system integration, linking data governance with technology projects, adoption/ROI of data governance, data governance assessments/roadmaps, training / communication and reporting / analytics (related to data governance).  Components include: data system inventory, data request, data stewardship, reference data, data lineage, business glossary, data processing (report) catalog, surveys, and data quality.   This blog post links you to posts with resources for each of these topic and component areas.  Additional topics and components will be added to this blog post as they become available.

Topics:

Getting Started with Data Governance
Data governance is not easy. There is a lot of components to it. There is a lot of content. You need a framework and hopefully have tools in place. You need a group of individuals to make it happen. So, how do you get started? Click to learn more.
Resources on Getting Started with Data Governance

Getting Trust in Your Data
Having trust in your data is critical at your organization. That is why data governance is so important as it leads to this trust by those that are using the data. Trust in the data leads to effective decision making. Building trust is done by having the right people and processes in place. And it takes time and a variety of steps. So, how do you get this trust? Click to learn more.
Resources on Getting Trust in Your Data

Just-in-Time Data Governance and Customer Service Approach
We are firm believers that organizations should practice just-in-time data governance which has an empowered committee to handle policy and vision as well as empowered individuals (data stewards) to handle simple and small day-to-day data governance tasks. The goals of just-in-time data governance include: giving people access to the information they need to use data appropriately and effectively when they need it, supporting direct and immediate involvement of all necessary data stakeholders, where needed in the data processes, providing data users ways to report problems or request information, establishing data governance processes that foster collaboration, communication, and sharing, creating tools (such as workflows) that notify and alert people when there are changes to data (such as reference data) that have impact on their work, focusing on facilitating the use of data not stopping the use by providing guidance, keeping it simple by not creating complicated processes or unnecessary layers of approvals. So, interested in learning more about just-in-time data governance? Click to learn more.
Resources about Just-in-Time Data Governance

Reporting/Analytics (related to data governance)
If you do not have trust in your data, then you will not have trust in your reports and your analytic efforts. These efforts are very connected with the data governance/intelligence efforts. Critical reports need to be documented in a report catalog or data processing catalog (we call this documentation specifications). So, want to learn more about the interaction between reporting/analytics and data governance/intelligence? Click to learn more.
Resources on Reporting/Analytics (Related to Data Governance)

People, Training and Communication (related to data governance)

People are an important part of data governance. They are part of the necessary framework.  And training for employees and communication to employees are very critical to the success of a data governance / data intelligence initiative.  Click to learn more.
Resources on People (Related to Data Governance)
Here's Some Data Intelligence Resources Regarding Communication and Training

Links to other resource blog posts on various data governance / data intelligence topics:

Components:

Data System Inventory
An important component of data governance is having a data system inventory.  Data at an organization needs to be understood, individually and collectively, and that can’t be done without a data system inventory.  Organizations need to take defined steps to build their data system inventory and have a process to maintain.  Click learn to learn more.
Data System Inventory - Resources to Make It Happen

Data Request
An important component of data governance is the request of data.  Organization’s need an established data request process that is known and easy to use.  The life cycle of data requests consists of inquiries about data, requests for deliverables, analysis of report details and data definitions, report development and report delivery.  Click here to learn more.
Resources for Best Practices and Life Cycle of Data Requests

Data Stewardship
An important component of data governance is data stewardship.  Data governance is about helping people.  The data stewards are the team that assists others with data governance and management.  Click learn to learn more.
Data Stewardship is Critical - Here are Some Resources

Reference Data
An important component of data governance (and data quality) is reference data or valid lists.  An unexpected change a reference data list could have big impact such as reports not working.  There must be a process in place with data steward involvement when reference data is changed or new additions.   Click learn to learn more.
Here are Some Resources Regarding Reference Data Lists

Data Lineage
You need to know where your came from and its transformation as it moves.  Therefore data lineage is a key part of data governance.  Click learn to learn more.
Need Help with Data Lineage? Here Are Some Resources to Assist

Data Quality
An important component of data governance is data quality.  And there are many parts to data quality including sources, issues, impact, people roles, content and processes.  Click learn to learn more.
The Many Parts of Data Quality (and Resources)

Business Glossary
Another key component is a business glossary.  Click learn to learn more.
Need Help with Your Business Glossary? Here are Some Resources to Help

Data Processing (Report / Data Flow) Catalog
Documenting your reports, ETLs, and data flows is important.  Click learn to learn more.  
Availability of Data Processing (Report / ETL) Catalog Resources

If data is part of your day-to-day activities, then please take advantage of these resources that we have created over the past few years during our time of implementing data governance solutions for our customers.  Hope you found these resources useful.  Feel free to check out our data governance resources page by clicking here.  

IData has a solution, the Data Cookbook, that can aid the employees and the organization in its data governance, data intelligence, data stewardship and data quality initiatives. IData also has experts that can assist with data governance, reporting, integration and other technology services on an as needed basis. Feel free to contact us and let us know how we can assist.

 Contact Us

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Jim Walery
About the Author

Jim Walery is a marketing professional who has been providing marketing services to technology companies for over 20 years and specifically those in higher education since 2010. Jim assists in getting the word out about the community via a variety of channels. Jim is knowledgeable in social media, blogging, collateral creation and website content. He is Inbound Marketing certified by HubSpot. Jim holds a B.A. from University of California, Irvine and a M.A. from Webster University. Jim can be reached at jwalery[at]idatainc.com.

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