PI Integrator for Business Analytics

Transcription

1 PI Integrator for Business Analytics Big Data Analytics with the PI System Presented by LP Page-Morin, Sr. Systems Engineer

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3 high volume, velocity, and/or variety information assets that demand cost-effective, innovative forms of information processing that enable insight, decision making, and process automation ---Gartner 3

4 The Benefits of Big Data 6% more profitable 83% improved process cycle times 49% had payback in one year or less 54% report ROIs >100% 27% year-over-year increase in revenue 12% less operating expense 5% more productive Sources: Harvard Business Review, Forbes, IDB 4

5 The Big Data Landscape From: 5

6 Big Data Analytics Analytics is required to transform information into intelligence More than storage Visual analytics Machine learning Complex event processing 6

7 Optimal Use of Process Equipment What product is being made? When is the equipment empty? Where was the instrument when I took that measurement? 7

8 Calculate the True Age of an Asset How are renewables impacting equipment? Was there a voltage violation? What are the changes in weather? 8

9 Maintenance Activities to Predict Power Output Was wind gusty or steady? Was the maintenance planned? How long does this issue usually take to fix? 9

10 Correlate Drilling with End Production When did the geology change? Which well was being drilled? What angle was the drill bit? Is production related to drill conditions? 10

11 I need to minimize risks through Data Driven Decisions Operations I want share PI System data to groups outside of Operations I want to build statistical models from historical data I want to compare my equipment with ALL of our other sites I want to spend less time on operational reports 11

12 We are starting a Big Data project, and we need operational data I want to combine systems of record for our corporate reports We need to be more confident in the decisions we make. We need trusted data I want to add Operational Data to our existing enterprise data warehouse I want to get operational data into more of the BI Tools that people use IT 12

13 Big Data Analytics and the PI System Statistical Analytics Visual Analytics 14

14 Real-Time Time-Series Data Isn t Perfect Naturally incomplete Doesn t look like relational data Not evenly spaced Subject to errors in measurement 15

15 Turbine 2 Turbine 1 Data Alignment Speed Torque Bearing Temp Oil Temp Manufacturer Last Service Different Archive Start Times Vestas June 20, 2013 Speed Additional Measure Torque Bearing Temp Bad Sensor Oil Temp Ware Factor Manufacturer Last Service Date Time Siemens February 5, 2015 Comm Failure Spike / Out of Range Uneven Spacing 16

16 Data Wrangling Prep Analysis Data cleansing and preparation tasks can take 50-80% of the development time and cost 17

17 Traditional Data Delivery PI DataLink PI OLEDB Enterprise PULL BUSINESS TOOLS Excellent for small datasets Hours, days, 1-2 months Does not scale to large datasets 6 months, 3 years, etc. High density data 18

18 PI Integrator for Business Analytics PULL data aggregation CLEANSE AUGMENT data quality data compatibility SHAPE TRANSMIT model normalization PUSH Business Intelligence & Visual Analytics Data Warehouse Big Data 19

19 Video placeholder. See replays at > Resources > View by Event to watch the videos. 20

20 Introducing PI Integrator for Business Analytics Create PI Views Access decision-ready data via ODBC or feed PI System datasets to a data warehouse Best solution to provide access to analytics Tibco Spotfire, Tableau, Microsoft Power BI SAS, Cognos, Oracle, SQL Server Other dashboarding tools and databases 21

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24 Video placeholder. See replays at > Resources > View by Event to watch the videos. 25

25 Business Intelligence Edition Visualization & Analytics Other BI Offerings Data Preparation and Integration Layer PI Integrator for BA Business Intelligence Edition System of Record PI Server 2 6

26 Data Warehouse Edition Visualization & Analytics Tableau Spotfire SAS Power BI Custom Applications Enterprise Data Warehouse / Data Mart / Data Lake SQL Server, Teradata, Oracle Hadoop Data Preparation and Integration Layer PI Integrator for BA Data Warehouse Edition Custom or 3 rd Party Data Management and ETL System of Record PI Server CRM Sales EAM ERP HR 27

27 PI Integrator for SAP HANA Native Integration with HANA Smart Data Access (SDA) Data is brought into memory on demand Focus on BI, reporting, and predictive analytics A.k.a. SAP IoT Adapter by OSIsoft BUSINESS PROCESSES INDUSTRIAL PROCESSES Real-time Business Decision Support Real-time Operational Decision Support 28

28 SAP HANA Edition Visualization, Analytics, & Business Process Applications Tableau Spotfire Lumira SAP BW SAP Solutions SAP Solutions & Applications SAP Solutions & Applications & Applications Enterprise Analytics and Applications Platform SAP HANA Data Preparation and Integration Layer SAP HANA Enterprise Information Management and Data Provisioning Agent SAP IoT Adapter by OSIsoft PI Integrator for Business Analytics SAP & Partner Suite of Data Management Tools Systems of Record PI Server CRM Sales EAM ERP HR 29

29 PI Integrator for Business Analytics Business Intelligence Edition Data Warehouse Edition PI Views (client-side ODBC) Released Released Native Connections - Microsoft SQL Server Released - Flat file Released SAP HANA Edition - SAP HANA Q Oracle RDBMS 11 & 12 Q Hadoop HDFS & HIVE Q

30 Proven Technology Early Adopter Program Merck Regeneron EDF-RE CEMEX Alcoa GRP Freeport-McMoRan Devon Energy Noble Energy NOV BASF China Southern Grid SDG&E 31

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34 The PI System Complements Big Data Solutions 35

35 Key Takeaways - Ask internally if there are Big Data initiatives/projects and which tools are already in use - Leverage the infrastructure in place - Organizing the data is key - Proper PI Asset Framework structure - Link to metadata 36

36 Contact Information LP Page-Morin Sr. Systems Engineer OSIsoft 37

37 Questions Please wait for the microphone before asking your questions Please remember to Complete the Survey for this session State your name & company 38

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