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Graph Intelligence for BRP at USDA, Michael Dimant, IBM Services

Presentation given by IBM at Neo4j Government Graph Day on March 5 in Washington, DC

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Graph Intelligence for BRP at USDA, Michael Dimant, IBM Services

  1. 1. Graph Intelligence for Business Process Re-engineering (BPR) at USDA Leveraging graphs to drive business process reengineering Michael Dimant | Data Analyst Washington, DC | 5 Mar 2020
  2. 2. 22 Agenda USDA Context Impact of Graphs on Solutions Future Applications Neo4j Government Graph Day
  3. 3. 3 USDA Context
  4. 4. 44 USDA sought to modernize and enhance its conservation financial assistance programs Three agencies executing conservation financial assistance efforts across 20+ programs Neo4j Government Graph Day A new mission area (FPAC) was established consolidating all three agencies Sought to streamline and modernize into a singular common conservation approach
  5. 5. 55 Project began with a traditional business process re-engineering (BPR) approach A business management strategy focused on capturing an organization’s As-Is processes, analyzing them, and using that analysis to design and implement To-Be processes. Neo4j Government Graph Day
  6. 6. 66 Leveraging this approach, the BPR team mapped 210 processes across 18 conservation programs for USDA FPAC • Breadth and granularity of As-Is data captured allowed the team to conduct comprehensive data analysis on its findings • Laid the groundwork for a data driven approach in the team’s recommendations for improvement Neo4j Government Graph Day
  7. 7. 77 Neo4j Government Graph Day Utilized Blueworks Live during stakeholder interviews to document As-Is processes
  8. 8. 88 Capturing processes in Blueworks Live allowed data to be structured • Basic unit of process maps were considered “Activities” • Metadata within each Activity included: - Participant - Systems - Cycle Time - Cost - Inputs - Outputs - Execution Method Neo4j Government Graph Day
  9. 9. 99 The team amassed a large amount of useful process data but lacked capability to analyze in aggregate • Existing analysis capabilities in Blueworks Live were limited • Captured As-Is data had features that favored a graph approach • Graphs facilitated quantitative analysis and data visualization effectively Neo4j Government Graph Day Sample USDA Neo4j Graph
  10. 10. 10 Impact of Graphs on Solutions
  11. 11. 1111 Neo4j Query Results Developed queries to traverse graph for tactical business intelligence recommendations for USDA stakeholders • Queries enabled rapid, responsive answers to business intelligence questions • Insights helped identify areas of redundancy, overlap, and consistent bottlenecks across programs Neo4j Government Graph Day
  12. 12. 1212 Allowed team to identify opportunities for automation, gaps between As-Is and To- Be processes, and consolidate areas for improvement Created various queries tailored to suit BPR efforts EXAMPLE: How many "swivel chair" activities exist for all processes in the Conservation Reserve Program (CRP)? • "Swivel chair" activities are: • Manually executed • Involves >= 2 systems Neo4j Government Graph Day IMPACT
  13. 13. 1313 Query Visualization Example Queries tailored to suit BPR efforts were translated into data visualizations to better illustrate findings Neo4j Government Graph Day
  14. 14. 1414 Bloom Visualization of Activities (Red) and Systems (Green) for USDA Conservation Program Visualization of data revealed powerful story for stakeholders • In May 2019, USDA stakeholders participated in a 3-day Design Thinking session • Presenting graph views in Neo4j Bloom uncovered simple but impactful insights for stakeholders Neo4j Government Graph Day
  15. 15. 1515 Tableau Dashboard (Connected to Neo4j Process Data) Graph data powered multiple client deliverables to include a comprehensive Tableau dashboard Neo4j Government Graph Day
  16. 16. 1616 Linked Processes Across 18 Conservation Programs Experimental use of algorithms opened the door to further strategic insights CENTRALITY ALGORITHMS • Identified critical processes in comprehensive network of processes SIMILARITY ALGORITHMS • Highlighted overlap between programs in terms of systems, inputs, and stakeholders Neo4j Government Graph Day
  17. 17. 17 Future Applications
  18. 18. 1818 BPMN Export for Process Developing solution that transforms BPMN (XML) into Neo4j graphs BPMN has multiple advantages over JSON: • Software agnostic • Richer data Neo4j Government Graph Day
  19. 19. 1919 Continue to develop algorithms for strategic insights Leverage power of algorithms to drive more powerful analysis • Overlap algorithms • Shortest path algorithms Neo4j Government Graph Day

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