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Discover how FermiDash simplifies key decision-making with a clear display of crucial information. Learn about the architecture, tools used, project approach, features, and future phases.
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NLIT 2012 Lighting up “Fermidash” – Fermilab’s Executive Dashboard
Agenda Explain the background, purpose, and objectives related to the Executive Dashboard (“FermiDash”) Review a high level overview of the architecture and tools being used Describe the approach for completing the project Highlight the dashboard features and functions Share lessons learned Present the future phases and what they will deliver NLIT 2012 FermiDash
About “FermiDash” Background • Fermi Research Alliance (FRA), Fermilab’s prime contractor, committed to providing an Executive Dashboard (“FermiDash”) in its contract with the Department of Energy. Over the past year, a team of Fermilab’s staff and contractors implemented the first phase of FermiDash. Purpose • The purpose of this project is to display crucial information in a clear and concise manner for making key decisions. The primary audience is Fermilab’s senior management, the Department of Energy, and the FRA board. NLIT 2012 FermiDash
About “FermiDash” Objectives • To meet the contractual obligation for a management decision dashboard. We met this object ive by completing Phase 1 by the end of CY 2011 • To provide a visualization of the lab’s key performance indicators (KPIs). This is an ongoing process, but there is much progress and momentum NLIT 2012 FermiDash
Architecture Primarily based on Microsoft (MS) Platforms MS SharePoint Enterprise Edition • PerformancePoint Dashboard Designer • Excel Services • Visio Services • Integrated Reporting Services • Site Collections to aggregate dashboards and KPIs into “FermiDash” MS SQLServer Database • Provides data storage for cubes and data marts • SQLServer Reporting Services (SSRS) – Displays data via reports and KPIs • SQLServer Integration Services – Moves data from source data stores to data mart for use in Dashboards, KPIs, and Reports • SQLServer Analysis Services(SSAS) - Delivers online analytical processing (OLAP) and data mining functionality NLIT 2012 FermiDash
Architecture A wide array of back end data stores that contain source data • Oracle databases of Financial, HR, Safety data • SharePoint lists containing data that was not already available in databases • Excel spreadsheets that had been used prior to the Dashboard being available • Web Pages NLIT 2012 FermiDash
Approach Wanted to leverage existing SharePoint and SQL Server platforms Bring in business intelligence experts with Microsoft specific skill sets to accelerate the project Provide a solid infrastructure Work on “low-hanging fruit” dashboards. Meaning dashboards that can be derived from existing data sources and/or manually created reports. NLIT 2012 FermiDash
There are eleven management system areas NLIT 2012 FermiDash Business Operations Communications Corporate Governance Engineering ES&H Finance Information Technology Performance Planning Quality Science Stakeholder Relations
FermiDash – Welcome Page NLIT 2012 FermiDash
FermiDash – Business Operations (1) NLIT 2012 FermiDash
Fermidash – Bus. Ops. – HR - Balanced Score Card(1.1) NLIT 2012 FermiDash
FermiDash – Communications (2) NLIT 2012 FermiDash
FermiDash – Corporate Governance (3) NLIT 2012 FermiDash
FermiDash – Engineering (4) NLIT 2012 FermiDash
FermiDash – ES&H (5) NLIT 2012 FermiDash
FermiDash – ES&H – Traffic (5.1) NLIT 2012 FermiDash
FermiDash – Finance (6) NLIT 2012 FermiDash
FermiDash – Information Technology (7) NLIT 2012 FermiDash
FermiDash – Performance Planning (8) NLIT 2012 FermiDash
FermiDash – Quality (9) NLIT 2012 FermiDash
FermiDash – Science (10) NLIT 2012 FermiDash
Fermilab – Science – Detector Performance (10.1) NLIT 2012 FermiDash
FermiDash – Stakeholder Relations (11) NLIT 2012 FermiDash
“Baseball Card” Display These are used to provide a visual menu to the various dashboards available. They make finding information quicker and easier. NLIT 2012 FermiDash
Lessons Learned Leveraging a full service consulting firm seems to provide greater value and less risk than relying on a single expert Reports that appear to have been generated based on existing data, may not be based on the data, and/or may need to have extra processing to achieve desired format or message. Needed to provide structure to capture and store data that was only available in documents, presentations, or spreadsheets. Data owners needed reassurance that providing the data and support for the system was not going to come back to haunt them. Changing peoples frame of reference from Reports to Dashboards can differ based on each person. NLIT 2012 FermiDash
Future Direction More Automation Better systems for collection, storing data Migrate reports and basic dashboards to dashboards using more advanced dashboard capabilities Provide more granular levels of role based security Add more content (dashboards, KPIs, Reports, etc.) Provide ability to analyze data Provide data, KPIs, reports to lower level managers NLIT 2012 FermiDash
Conclusion Questions Comments Discussion NLIT 2012 FermiDash