Analytics and Data Solutions (ADS) (formerly Enterprise Information Stewardship)is a department that reports to MSU IT Services and the Office of Planning and Budgets. The department is comprised of business intelligence, analytics, and data solutions teams.
ADS plans and organizes activities for MSU’s vision of data managed as an asset and data-driven decision-making. Analytics and Data Solutions improves links between siloed databases and data stores and makes information and data easier to find online and use. In addition, the department ensures the effective management of information assets.
Strategic responsibilities include evaluating the usage of emerging technologies and implementing solutions that give academic and administrative units the capabilities they need to succeed in analytics.
ADS determines the institution’s current data quality/maturity level and establishes enterprise standards including a uniform and repeatable system development life cycle methodology for data quality and cleanliness.
Learn more about Analytics and Data Solutions and its data services.
The Administrative Data Users CAFE (ADUC) group has a shared interest in the creation and use of institutional data and associated information systems. See more on the MSU IT Community page.
Business Intelligence & Analytics
The Business Intelligence and Analytics team provides technology and services to promote proactive, data-driven decision making. This includes providing enterprise reporting, analytic, and visualization tools.
The Data Science team provides statistical and predictive analytics capabilities at the enterprise level to support effective decisions.
The Data Solutions team provides solutions to meet the university’s need for data within the SQL Server environment.
The Data Stewardship team manages the university’s data as an institutional asset. Their objective is to provide reliable, useful, and secure data of high quality. This is achieved through the integration of data management principles and best practices into the data life cycle – from creation and collection to archiving and destruction.
The Data Warehouse team provides technology and services used in the transporting of data and a central data repository.