Analytics & Data Solutions

The Analytics and Data Solutions (ADS) department (formerly Enterprise Information Stewardship) reports to MSU IT Services and the Office of Planning and Budgets. The department is comprised of Data Architecture, Data Management, Data Analytics, and Spatial Data Management 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.

Read more about handling institutional data and securing institutional data.

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.

Data Architecture

The Data Architect is responsible for creating an end-to-end vision and strategy for how data will flow through the organization. This is achieved by working with multiple IT teams and Business Intelligence (BI) teams to set standards that define the type of data collected and how it is used, stored, managed, and integrated within the enterprise. Data Architecture is one of several domains that form the pillars of an enterprise architecture.

Data Management

Data Stewardship

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.

Data Warehouse

The Data Warehouse team provides technology and services used in the transporting of data and a central data repository.

Data Analytics

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.

Data Science

The Data Science team provides statistical and predictive analytics capabilities at the enterprise level to support effective decisions.

Spatial Data Management (GIS)

The Spatial Data Management team is responsible for the broad spectrum of location-based data services that enable innovative applications that improve the efficacy of managing MSU campus. Spatial Data Management uses the Geographic Information System (GIS) to help MSU units understand, interpret, and visualize our world in ways that reveal relationships, patterns, and trends in the form of maps, globes, reports, and charts. Examples include wayfinding; mapping and navigation; physical campus management including buildings, landscapes, and facilities management; road and parking analysis; and research.