(ATS6-APP01) Unleashing the Power of Your Data with Discoverant


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In the fast-paced, high demand environment of manufacturing, it’s almost impossible to find the time to gather large amounts of data and organize it into a common context. This session presents best practices for using Discoverant hierarchies and Direct Connects to provide your end-users with on-demand and scheduled self-service access to their contextualized data, freeing their time for the more important trending and analysis activities that enable improved process performance and predictability.

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(ATS6-APP01) Unleashing the Power of Your Data with Discoverant

  1. 1. (ATS6-APP01) Unleashing the Powerof Your Data with DiscoverantKarri Unruh, Sr. Product ManagerKarri.Unruh@accelrys.comJoe Ruth, ArchitectJoe.Ruth@accelrys.com
  2. 2. The information on the roadmap and future software development efforts areintended to outline general product direction and should not be relied on in makinga purchasing decision.
  3. 3. Content• Discoverant Overview– What needs does Discoverant fulfill?– InVision – Opportunities for your end users to make use of data– Nexus – Retrieving, aggregating, and contextualizing your data• Demo– Importing Hierarchies– Testing data retrieval– Creating Analysis Groups– Utilizing data in InVision– Pulling AG data into third-party systems with Web Services for AGs
  4. 4. Discoverant Overview• The building blocks of Discoverant
  5. 5. PaperRecord ElectronicDataLIMSHistorianERP /MESDataWarehouseSponsor Mfg.CMOProcess Dev.Pilot PlantDynamicMappingEngineDiscoverantAGAnalysisGroupHierarchyInVision>Third-PartyProductsODBC for AGsWeb Servicesfor AGsAccelrys Discoverant Solutions
  6. 6. Discoverant InVision• How data is used
  7. 7. PlottingChart datain a varietyof plotformatsStatisticsUse basictoadvancedstatisticalanalysistools toanalyzeevery day’sdataQuality MonitorUse Six-Sigma tools tomonitor andunderstandmanufacturingprocessesCurve MetricsWorkcomprehensivelywith continuousdata. Extractfeatures andcombine themwith otherdiscrete data forquantitativeanalysisMulti-Phase AnalysisCreate phasesfor continuousdata, such aschromatographicphases andfiltration fluxprofiles, toperformcalculations andcomparisonsStability & Expiration DatingPerformanalysis ofstabilitystudies. Charttrends, identifyout of trendalerts, anddetermineexpirationdatesTable ViewView datain tabularformat;condition,edit, sort,and filterdifferentdata typesVisual Process SignatureUse animatedvisualizations ofinteractionsamong processparameters overtime to uncoverhiddenrelationships andidentify areas toimprove processcontrolAccelrys InVision Modules>
  8. 8. Discoverant Nexus• How data is gathered,aggregated, and contextualized
  9. 9. Analysis Group- Filtration.Process.Start Time- Filtration.Process.End Time- Filtration.Process.Temp- Filtration.Process.Flow- Pur B.Results.pH- Pur B.Results.Osmolality- Pur B.Results.Impurity>How Data is Gathered
  10. 10. Oracle /Direct ConnectSourceViewSourceViewSourceViewContext ViewDiscoverant• Parameter Type• Timestamp/Repl ID• Code ColumnSourceViewSourceViewSQLQuery+ Node• Conditional Column• Cond Column ValueParameter• Source Column• Code Column Value>What Goes On Behind the Curtain
  11. 11. OracleSourceViewSourceViewSourceViewDiscoverantSELECT source columnFROM source viewWHERE conditional column = conditional column valueAND ( code column = code column value )+ Node• Conditional Col• Cond Col ValueParameter• Source Column• Code Col Value• Data Type• Timestamp/Repl ID• Code ColumnContext ViewSourceViewSourceView>What Goes On Behind the Curtain – Building Queries
  12. 12. Query Pathways provides a mechanism for retrievingdata using multiple queries>Query Pathways – Adding More Control
  13. 13. >Step Views – Mapping GenealogyStep View for EachStep NodeTo map, specify:• Step number• Column for current step• Column for next step• CardinalityStepUniverseParameterRecursethrough stepsData returned in contextof Step Universe
  14. 14. Direct ConnectManagerOracleDME SchemaSource DataSource DataSource DataSource DataDirect Connectto OracleDirect Connects(JDBC, Oracle, OSIsoftPI, OPC-HDA, WebServices)SQL*NetDatabaseGatewaysDiscoverantDiscoverantServerAG CreateDirect ConnectManager>Direct Connects – Adding More Power
  15. 15. DemoFrom Unorganized Data to Automated Results in 15 Minutes• Importing Hierarchies• Testing data retrieval• Creating Analysis Groups• Utilizing data in InVision• Pulling AG data into third-party systems with Web Services for AGs
  16. 16. • Discoverant can be used to turn data into processunderstanding• Hierarchies provide end users with self-service access todata without the need for IT intervention– Query generation prevents the possibility of runaway queries– Direct Connects contribute to efficient data retrieval– Query Pathways provide flexibility for even more efficient dataretrieval– Step Views make sense of lot genealogy by keeping track ofsplits and combinationsSummary
  17. 17. Screenshot DemoFrom Unorganized Data to Automated Results in 15 Minutes• This is great to have incase your demo doesn’t work.Always have in the appendix “Just in case”
  18. 18. Demo Slide – DCA Configure Data Source
  19. 19. Demo Slide – Hierarchy Import
  20. 20. Demo Slide – Hierarchy Import
  21. 21. Demo Slide – Hierarchy Import
  22. 22. Demo Slide – Hierarchy Test Parameter
  23. 23. Demo Slide – HVU
  24. 24. Demo Slide – HVU
  25. 25. Demo Slide – AGM Create Analysis Group
  26. 26. Demo Slide – AGM Create Analysis Group
  27. 27. Demo Slide – ARM (Automated Result Method) & Job
  28. 28. Demo Slide – KnowledgeNet
  29. 29. Demo Slide – KnowledgeNet
  30. 30. Demo Slide – External Data Access (REST WS)
  31. 31. Demo Slide – External Data Access (REST WS)
  32. 32. Demo Slide – External Data Access (REST WS)
  33. 33. Demo Slide – External Data Access (REST WS)
  34. 34. Demo Slide – External Data Access (REST WS)