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Future of IT at MIT
Repor&ng Strategy and Roadmap
Massachuse5s Ins&tute of Technology
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March 23, 2016
Future of IT at MIT
AGENDA
■ Current Repor&ng Landscape – Overview – Tools
■ Recent Accomplishments and Projects
■ Where Do We Go Next?
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Future of IT at MIT
Reporting and Analytical Tools
CURRENT REPORTING LANDSCAPE
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MITSIS
Data Sources
Batch Feeds Other Databases (Coeus, Barton, etc.)
Data Warehouse
Bring Your Own
Future of IT at MIT
CURRENT REPORTING LANDSCAPE -‐ TOOLS
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■ Brio Query (Introduced in the 1990s) – Ad hoc querying and repor&ng tool – Longest tenure and has widespread adop&on – Not web-‐based, not easy to learn – Original vendor acquired by Oracle; desktop client is end-‐of-‐life
Future of IT at MIT
CURRENT REPORTING LANDSCAPE -‐ TOOLS
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■ IBM Cognos (Available since 2011) – h5p://reports.mit.edu – Provides web-‐based data access and repor&ng on data in the Data Warehouse and other systems
of record at MIT (e.g. MITSIS) – Over 500 predefined reports available.
Future of IT at MIT
CURRENT REPORTING LANDSCAPE -‐ TOOLS
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■ Tableau (Available since November 2015) – h5p://tableau.mit.edu – Tool to help people interac&vely explore, visualize, understand and share data securely – Ability to connect to the Data Warehouse, Excel and other local data sources – Adopted by a number of DLCs prior to IS&T adop&on
More information is available at http://ist.mit.edu/tableau/services
Future of IT at MIT
RECENT ACCOMPLISHMENTS AND PROJECTS
■ FRC – Applica&on and monitoring reports – August 2015
■ Tableau Rollout – November 2015
■ SAP HANA Migra&on -‐ no impact to Data Warehouse – December 2015
■ HR Brio Query Conversion to Cognos – February 2016 – Converted 250+ Brio Query reports to Cognos
■ SANDI Pilot – February 2016 ■ Assistant Deans Reports – In Progress
– Developing a suite of ~70 Cognos reports
■ Research Budget and Expenses Repor&ng – In Progress – Budget and expense forecas&ng for DLC research projects
Future of IT at MIT
FINANCIAL REVIEW & CONTROL – h:p://frc.mit.edu
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Future of IT at MIT
TABLEAU ROLLOUT – h:p://tableau.mit.edu
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Future of IT at MIT
SAP HANA MIGRATION – SYSTEMS IMPACTED
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Future of IT at MIT
SANDI PILOT
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■ Created an online version of the staff appointments and distribu&on (SANDI) within a home department
■ Working group made up of several DLCs to provide feedback
■ Pilot applica&on has been developed in Tableau ■ This project was proposed by AACII and the VPF
Future of IT at MIT
WHERE DO WE GO NEXT?
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Not Real Time
Authorization Delay
Data Quality Issues
Use of Multiple Data Sources
User Experience
There is a one day delay for all data in the warehouse
There is a one day delay in previsioning authorizations to the data warehouse
Reconciliation of SAP to warehouse data difficult due to data lag
Difficult to integrate local data with centrally managed data
Tools have a steep learning curve and are not easy to use
Pain Points
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Future of IT at MIT
WHERE DO WE GO NEXT?
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Not Real Time
Authorization Delay
Data Quality Issues
Use of Multiple Data Sources
User Experience
There is a one day delay for all data in the warehouse
There is a one day delay in previsioning authorizations to the data warehouse
Reconciliation of SAP to warehouse data difficult due to data lag
Difficult to integrate local data with centrally managed data
Tools have a steep learning curve and are not easy to use
Pain Points
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2
3
4
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Future of IT at MIT
REAL-‐TIME DATA ACCESS VIA THE WAREHOUSE
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■ Real-‐&me access to SAP, MITSIS, Roles Database, etc. – Remove the 1-‐day lag for informa&on – Changes are reflected in the data warehouse as they occur
Today: Possible Future:
Future of IT at MIT
WHERE DO WE GO NEXT?
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Not Real Time
Authorization Delay
Data Quality Issues
Use of Multiple Data Sources
User Experience
There is a one day delay for all data in the warehouse
There is a one day delay in previsioning authorizations to the data warehouse
Reconciliation of SAP to warehouse data difficult due to data lag
Difficult to integrate local data with centrally managed data
Tools have a steep learning curve and are not easy to use
Pain Points
1
2
3
4
5
Future of IT at MIT
INTEGRATING MULTIPLE DATA SOURCES
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■ Enable the use of mul&ple data sources within Cognos
■ Tableau can currently connect to mul&ple data sources
DW
Future of IT at MIT
WHERE DO WE GO NEXT?
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Not Real Time
Authorization Delay
Data Quality Issues
Use of Multiple Data Sources
User Experience
There is a one day delay for all data in the warehouse
There is a one day delay in previsioning authorizations to the data warehouse
Reconciliation of SAP to warehouse data difficult due to data lag
Difficult to integrate local data with centrally managed data
Tools have a steep learning curve and are not easy to use
Pain Points
1
2
3
4
5
Future of IT at MIT
INTERACTIVE DASHBOARDS
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Future of IT at MIT
SEARCH-‐BASED ANALYTICS
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Future of IT at MIT
ADVANCED ANALYTICS
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■ Cloud services for data analysis – New tools to help with scenario planning • e.g. HANA Predic&ve Analy&cs, Watson Analy&cs, Amazon QuickSight
■ Advanced analy&cal features (predic&ve, machine learning, etc.) to assist with: – Forecas&ng – Spending pa5erns for projects – Detec&ng anomalies (could be used to manage financial risk) – Text mining and analysis – Natural language searches – Measure data quality
Future of IT at MIT
WHAT ELSE?
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■ Training workshops for Cognos and Tableau ■ Simplified user interface for finding and running reports in Cognos
■ Self-‐service tools – Easier access to the data you need – Ability to export the data easily – Ability to add local data (i.e. Excel data files)
■ Mobile access to reports
■ Ability to embed reports within documents and applica&ons
■ Business process specific repor&ng solu&ons ■ Ability to discover data that may interested you