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Keynote 10/26/08 on Process Intelligence

Keynote 10/26/08 on Process Intelligence

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Edm Keynote2008short2 Edm Keynote2008short2 Presentation Transcript

  • The Agility Imperative Rethinking BI for Processes Neil Raden Partner Smart (enough) Systems LLC October, 2008
  • A special thanks to John Patton, CEO, Sight Software, who introduced me to the idea of “Process Intelligence” and with whom I collaborated for this presentation. [email_address]
  • Business Users Drive Analytics
    • Promise of BPM: Business users can drive the creation, operation and improvement of strategic processes because of enabling technology of BPM, BPMN, BPEL & SOA)
    • They can also create, use, change and improve process analytics
    • DRM approach: SAP reference models: >4000 entity types, 1000 business processes using EPCs; Oracle similar
    • Only usable by DRM experts. Even configurable reference modeling languages suffer from the same knowledge transfer limitations – stakeholders don’t learn.
  • DRM of the Sell Process `
  • Business Users Drive Analytics
    • Today’s BI for Processes truth: with EPCs and DRMs, folks can muddle through with pre-defined KPIs and pre-configured BI data models.
    • Tomorrow’s BI for Processes truth: Today’s BI is ill-suited for a world of agile, interconnected (strategic) processes.
    • It’s like a square peg in a round hole
  • The State of BI
  • What Are the Analytical Needs?
    • The Analytic Environment is Different
    • Complex flow data among many agile internal and external complex processes.
    • There will be precise, complete end-to-end data on every process instance available in process log files.
    • Stakeholders require many different views of the processes.
    • This includes not only flow patterns of process instances, but the resources involved and the process instance data associated with them as well.
  • What Are the Analytical Needs?
    • If the needs were only tactical, simple dashboard (BAM) instrumentation would suffice.
    • But these are strategic processes. There is a constant need for a variety of stakeholders to know with certainty:
      • What happened?
      • What will happen?
      • What could happen?
    • Processes are complex causal systems with continuously measured flow. (One reason why simplified BI models are poor candidates for root cause analysis and other prescriptive/predictive analyses)
  • What Are the Analytical Needs?
    • The Analytical Methods for Complex Causal Systems
    • The key strategic questions all involve analyzing process uncertainty.
    • These methods require that process data:
      • Be presented as distributions
      • Preserve flow (path) information
      • Allow robust time perspectives
  • Process Intelligence EDM Hotels Convention Venue How can we get people into the meeting room earlier (so we can start on time)?
  • Luxor Venetian Flamingo Caesars Bellagio 8:00 7:52 8:04 7:50 8:02 Mean Arrival Time EDM
  • Process Intelligence Data Persistence Structure: Process Log Files LOG FILES LOG FILES EDM LOG FILES LOG FILES LOG FILES
  • Process Intelligence Analytical Primitive: Distributions Caesars Venetian Bellagio Luxor Flamingo FrequencyCount Arrival Time
  • Process Intelligence Analytical Primitive: Process Trace LOG FILES EDM LOG FILES LOG FILES LOG FILES LOG FILES
  • EDM Convention Venue Hotels Process Intelligence Analytical Primitive: Process Trace
  • Luxor Venetian Flamingo Caesars Bellagio 8:00 7:52 8:04 7:50 8:02 Mean Arrival Time EDM
  • What Approach Will Work?
    • Answer: Process Intelligence
    • Subtext: Process Intelligence is a distinct product with a distinct market.
    • Tech Truth: Process event log files are different.
    • Traffic in distribution not aggregated data
    • Today’s state-of-the-art solutions for business process intelligence depend on a traditional query-based approach against a relatively static data model and a tough-to-configure data warehouse
    • The problems with this tortured OLAP cube-based approach to process analytics are:
    • Distributions cannot be used as analytical primitives
    • The process flow model is destroyed in creating the data model
    • Time is poorly represented
    • It is not agile
    • Process flow predictions are crude and inaccurate
    Mapping & correlation of events and data PDW Pre- processing PDW Schema Process Log Files Process View Process View Process View Mapping & correlation of events and data Process Log Files Process View Mapping & correlation of events and data Process Log Files Process View Process View Mapping & correlation of events and data Process Log Files Process View Mapping & correlation of events and data Process Log Files BPI
    • Process Intelligence , a distinct technology, provides business and other users the tools necessary to use the proper methods of strategic process analysis:
    • Automatic instrumentation of BPMN-modeled processes
    • Analytical primitives that are distributions
    • Agile process views
    • Robust time perspectives
    • Imbedded analytical methods (of complex causal systems)
    • Accurate flow predictions with full uncertainty
    • Simplicity
    What Approach Will Work?
    • Process Intelligence Is A Better Solution
    • Process Intelligence is the right solution for enterprises’ need for agile strategic analysis of process flow through heterogeneous process islands.
    Mapping & correlation of events and data Process Log Files Process Intelligence What Approach Will Work?
  • What Are the Analytical Needs?
    • Summary
    • BI was not built for agile, strategic complex causal systems
    • Strategic processes require analytic agility not available in current BI
    • Analyzing complex causal systems in an agile environment is beyond the capability of current BI
  • Contact Information Neil Raden Smart (enough) Systems LLC 1415 Kenwood Road Santa Barbara, CA 93109 www.smartenoughsystems.com [email_address] White papers: www.hiredbrains.com/Whitepapers.pdf LinkedIn: http:// www.linkedin.com/in/neilraden Blog: http:// www.intelligententerprise.com/blog/nraden.html (Office)   +1 805 962 7391  GMT - 08:00 PST (Mobile) +1 805 284 2322