Data Asset Management
Goal 1: Build institutional capacity for data asset management
Goal 2: Ensure data integration
Goal 3: Enhance data literacy
Goal 4: Improve Priority Setting and Decision Making
Data asset management provides oversight and vision to institutional data and the information systems, software, and hardware that makes data assets available. Everyone in the Montgomery College community has a vested interest in accurate and reliable data because it is the foundation to ensuring the institution’s viability. As such, data asset management will be vital to moving the College’s MC2025 Strategic Plan forward.
The purpose of the Data Asset Management program is twofold:
- to define how we collect, analyze, store, and secure data; and
- to use this data to build an environment in which decisions are informed by relevant and accurate metrics. The Data Asset Management program also strives to engage key College stakeholders and constituents in the development of strategies to enhance our culture of evidence and to enhance data literacy across the College to make better data-informed decisions.
- Establish a Data Governance Council
- Define data management process ownership
- Create a data management strategy checklist
- Establish a data stewardship
- Establish a data quality program
- Provide data management and analysis consulting
- Organize data analysis support services
- Create a data collection inventory
- Create a calendar of data deliverables and reports
- Create data warehouse technical documentation
- Create a report repository
- Develop a data request tracking system
- Address shadow databases
- Selection and transition to official data analysis tools
Data asset management is going to become more important to achieving the College’s mission moving forward. The College’s deliberate and intentional use of data will facilitate the digital pivot needed in a post COVID world and lead MC towards increased data maturity. Effective data asset management contributes to better financial performance and represents a manifestation of our institutional value of stewardship. It tightens data collection, storage, usage, and management procedures. And, more importantly, improves quality, accessibility, measurability, and key stakeholder satisfaction with data.