Data object roadmap activity planning refers to the process of outlining the steps and actions necessary to manage and evolve data objects within a specific timeframe.  Here's a breakdown of the key aspects:

Focus on Data Objects:

• Data Objects as the Core: This planning approach centers around data objects, considering their lifecycle, usage, and potential for improvement. It goes beyond just application functionality and focuses on the data itself.

• Defining Data Objects: The planning process starts with identifying and defining the specific data objects in scope. This includes outlining their attributes, relationships with other data objects, and their current state (e.g., well-defined, poorly documented).

Roadmap Activities:

• Data Assessment: Evaluating the current state of the data objects in terms of quality, consistency, completeness, and alignment with business needs. This might involve data profiling activities to identify potential issues.

• Data Governance: Defining policies and procedures for managing data objects throughout their lifecycle, including ownership, access control, and data quality standards.

• Data Improvement Initiatives: Planning activities aimed at improving the quality and usability of data objects. This could involve data cleansing, standardization initiatives, or implementing data enrichment processes.

• Data Integration Planning: If applicable, the roadmap might outline steps for integrating data objects with other systems or applications to improve data accessibility and flow.

• Data Governance Tools: Considering the use of data governance tools to automate tasks, track progress, and enforce data quality standards.

• Data Security Considerations: Planning for appropriate security measures to protect sensitive data objects throughout their lifecycle, including access controls and data encryption.

Benefits of Data Object Roadmap Planning:

• Improved Data Quality: By focusing on data objects, organizations can identify and address data quality issues, leading to more reliable and trustworthy data.

• Enhanced Data Governance: The roadmap helps establish clear guidelines and processes for managing data objects, ensuring consistency and compliance with regulations.

• Better Data Utilization: Improving data quality and accessibility allows organizations to leverage data more effectively for analytics, reporting, and decision-making.

• Alignment with Business Goals: Data object roadmaps can be aligned with broader business objectives, ensuring data management activities support overall strategic initiatives.

Who's Involved?

• Data Stewards: Individuals responsible for the specific data objects, driving improvement initiatives and ensuring data quality.

• Data Architects: Define the data architecture and ensure data integration and accessibility.

• Data Governance Committee: Provides oversight and approval for data management policies and procedures outlined in the roadmap.

• IT Teams: Responsible for implementing technical aspects of the roadmap, such as data storage, security, and integration solutions.

In essence, data object roadmap activity planning offers a structured approach to managing and evolving data objects.  By focusing on the data itself and outlining necessary activities, organizations