In this blog post we will discuss the following project examples: implementing artificial Intelligence (AI), ERP implementations, reporting tool migration / implementation, implementing a new point solution, and re-architecting organization system integration. We will also discuss the considerations for these examples. We firmly believe that data governance needs to be tied to these projects for improved project success. During technology projects a large amount of data is touched and is a perfect time to document the data systems involved. This documentation will benefit the organization for years after project completion.
Here are some technology project examples and considerations:
Project Example #1 – Implementing AI
Project Description
- Implementing AI in the organization internally
- Implementing AI to be used by people external to the organization
Considerations
- Determination of uses for AI
- Review and import of existing content that can be used for AI
- Set up and configuration decisions
- Training of staff
- Security, permissions, and privacy policies related to AI
- Creating AI test cases and validation plans
- On going review and improvement
Project Example #2 – ERP Implementations
Project Description
- Migration of one of your primary ERP systems including moving to a SaaS version
Considerations
- Initial data migrations
- Set up and configuration decisions
- Code (reference data) mappings
- On-going system integration development and mapping
- Report writing
- Data training
- Security, permissions, and privacy policies
Project Example #3 – Reporting Tool Migration / Implementation
Project Description
- Implementing a new reporting tool or business intelligence / analytics solution
- Implementing a new ODS or data warehouse or data lake
- Anything that requires rewriting a bunch of reports such as a database migration
Considerations
- Review of existing reports
- Identifying reports to recreate
- Identifying new reports
- Training and understanding of new data sources
- Managing the report creation process
- Testing and approval
Project Example #4 – Implementing a New Point Solution
Project Description
- Replacing a CRM or other specialty system (survey tool, event management software, help desk solution, or a library management system)
Considerations
- Initial data migrations
- Set up and configuration decisions
- Code (reference data) mappings
- On-going system integration development and mapping
- Report writing
- Data training
- Security, permissions, and privacy policies
- Aggregating data with other systems (data mart, etc.)
Project Example #5 – Re-architecting Organization System Integrations
Project Description
- Standardizing on new system integration tools
- Changing data center locations
Considerations
- Documenting the business requirements
- Understanding the source and target systems
- Building a preliminary data mapping document
- Getting approval on the business requirements and mappings
- Developing to the specifications
- Creating test cases and validation plans
- Managing testing process and shared documents
- Short-term and long-term transparency, understanding, and maintenance
There are many other examples such as performing an enterprise-wide survey on IT effectiveness and report the survey results. Look at your list of upcoming IT-related projects and determine where data governance will help with these upcoming projects.
In conclusion, whenever there is a technology project at your organization, make sure that data governance is included in the project. This is a good time to purchase a data governance solution like the Data Cookbook. Feel free to view our recorded webinar titled “Turning Technology Transitions into Data Governance Wins ”. Additional resources (blog posts, videos and recorded webinars) related to data governance and technology projects can be found here.
Hope this blog post was of assistance to you and your organization. All our data governance and data intelligence resources (blog posts, videos, and recorded webinars) can be accessed from our data governance resources page. 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.
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