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Asset Hub - Asset Data Management in Infrastructure-Rich Organizations

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One of the primary challenges that asset rich organizations face is the necessity to reduce large annual OPEX and CAPEX overheads. To meet this challenge a number of operational efficiencies and cost …

One of the primary challenges that asset rich organizations face is the necessity to reduce large annual OPEX and CAPEX overheads. To meet this challenge a number of operational efficiencies and cost savings need to be identified within Asset Management. Collecting, managing and exploiting asset data in more effective ways can help to address these challenges and facilitate a reduction in cost.

This presentation identifies the improvements to asset data management required to support these business goals and sets out solutions to take forward.

First presented by Capgemini's Frank Hewett at Informatica World 2014.

More in: Technology , Business
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  • 1. Asset Information Management for Asset-Rich Organizations Frank Hewett, MDM Managing Consultant, Capgemini UK Plc Informatica World - May 14, 2014 In collaboration with
  • 2. 2 BIM Copyright © 2014 Capgemini. All rights reserved. Asset Information Management | May 2014In collaboration with TABLE OF CONTENTS Business Challenges facing Asset Intensive Organizations !  Capgemini’s Asset Information Framework !  Building an Asset MDM solution !  Our experiences of Asset MDM !  Partnering with Informatica !  Contact
  • 3. 3 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett The Challenge for Asset Intensive Organisations This talk provides real world examples of how Asset Master Data Management lies at the heart of providing a ‘joined-up’ view of asset data across the lifecycle to enable these goals to be achieved. “The ability to make improved decisions on asset maintenance using trusted asset data across the entire asset management lifecycle is often a goal within asset intensive organizations.” “This is key enabler for improving customer experience, reducing operating costs and improving efficiencies.”
  • 4. 4 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett Who are these organisations? !  Rail !  Airports !  Roads !  Bus & Public Transport Travel & Transport !  Ports !  Shipping !  Cargo Marine !  Exploration !  Transportation Oil & Gas !  Water !  Electricity !  Gas Utilities
  • 5. 5 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett At a major UK Rail Organisation In the case of a Major UK Rail Organisation The timetable is their PROMISE… When they PROMISE a train can run, it will run… safely, punctually and reliably. The management of this organisation is a balancing act between the operational railway and the maintenance of the asset base.
  • 6. 6 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett A International UK Airport Organisation In the case of a Major UK Airport Company The flight schedule is their PROMISE… When they PROMISE a plane can fly, it will fly… safely, punctually and reliably. The management of ‘Critical’ assets are key to the operational resilience of the airport
  • 7. 7 BIM Copyright © 2014 Capgemini. All rights reserved. Asset Information Management | May 2014In collaboration with TABLE OF CONTENTS !  Business Challenges facing Asset Intensive Organizations Capgemini’s Asset Information Framework !  Building an Asset MDM solution !  Our experiences of Asset MDM !  Partnering with Informatica !  Contact
  • 8. 8 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett The Answer: The Capgemini Asset Information Framework Asset Information Framework
  • 9. 9 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett Asset Information Model The mapping of an Asset Information Specification to the Asset Management Application Systems The Management of Asset data across the Asset Management Lifecycle – Meta, Master, Sharing & DQ Asset Information Specifications based on Asset Policy to define what data is important for an Asset through its lifecycle The PASS 55 is an IAM guide to the way in which Assets are managed. An Asset data policy that defines what data is important
  • 10. 10 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett What does ‘Good Data’ look like? •  In asset rich organisations it is important to have a clear definition of what each asset should look like •  This is the metadata definition of each asset !  Defines the attributes that make up the asset type !  Defines each attribute in terms ownership, lifecycle, lineage, format, document references, quality metrics !  Defines the hierarchy structures the asset belongs to e.g. location, function etc. !  Defines the business rules that apply to the attributes •  Assets are compared to their metadata specification to determine their completeness and accuracy •  These specifications form the backbone of defining the quality of asset data in the enterprise •  Maintaining the specifications is a Data Stewardship function in it’s own right •  Defining the specifications must be done before mastering physical data as this provides the blue print of what to master
  • 11. 11 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett Building Trust in Asset Data for Exploitation Communicating with the Industry information, insight and analysis Collecting all types of Asset data from all applications within the Asset Management Lifecycle through the use & maintenance of the Asset
  • 12. 12 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett Asset Data within Asset Management Applications Asset intensive organisations can have asset data in many Asset Management Applications, Systems and Filing Cabinets across the Asset Lifecycle.
  • 13. 13 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett Challenge of Different Types of Asset Data Asset Transactions Condition Data Location Data ! Volume ! Structured ! Throughput ! Velocity ! Semi-structured ! Ingestion ! Variety ! Highly unstructured ! Models Enterprise Content ! Variety ! Highly unstructured ! Volume
  • 14. 14 BIM Copyright © 2014 Capgemini. All rights reserved. Asset Information Management | May 2014In collaboration with TABLE OF CONTENTS !  Business Challenges facing Asset Intensive Organizations !  Capgemini’s Asset Information Framework Building an Asset MDM solution !  Our experiences of Asset MDM !  Partnering with Informatica !  Contact
  • 15. 15 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett New Vision Required - decide on the approach… Option 1: Consolidate all asset data into an Operational Asset Management System –  Option 1 Pros 1.  If there is one dominant Asset Management System then this is worth considering –  Option 1 Cons 1.  If there is no dominant Asset Management then this becomes high risk !  Data must be migrated to the chosen system !  The old systems must be decommissioned !  The Business is at risk of suffering operational issues !  The chosen system supports two functions (Operational and Hub) Option 2: Create a new Asset Information Hub –  Option 2 Pros 1.  Operational systems continue untouched 2.  A dedicated governance model is established around the new Hub 3.  The Hub is a neutral consolidation point –  Option 2 Cons 1.  Requires a new organizational structure 2.  Investing in a foundation technology that enables downstream functions 3.  The implementation must be carefully planned so incremental gains can be realized quickly 4.  The concept of an enterprise Asset Information Hub needs support from across the organization
  • 16. 16 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett Asset Data Store Staging Area Asset Information Hub – Logical Reference Architecture Industry Users Contractors Regulators Find Documents/ Specifications Find Data/ Produce Reports Locations Renewals/ Predictive Maintenance KPI’s/ Target Measures Portal Agile BI GIS Analytics Dashboards Exploitation Reference Data Transaction Data DataManagement Staging Area DataCollection Asset Transactional Systems Operational Systems Telemetry/Real Time Monitoring External Systems Source1 Source2 Source3 Source1 Source2 Source3 Source1 Source2 Source3 Source1 Source2 Source3 Cloud
  • 17. 17 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett Regulator Contractors Physical Data Marts Virtual Data Marts Geospatial Asset Information Hub – Informatica Product OptionsAssetDataStore PowerCentre + Data Quality (Batch/Change/Real Time) Cloud PowerCentre + Data Quality (Batch/Change/Real Time) PowerCenter+Data Quality (Batch/Change/RealTime) PowerCenter+Data Quality (Batch/Change/RealTime) Data Management •Master Data •Meta Data Analysis & ReportingMobile MEAP DecisionSupport Virtualized Data MDM Hub GeospatialPhysical Data Marts Virtual Data Marts BIM CAD New and Existing NewExisting Existing Asset Transactional systems Telemetry Systems Network Operations systems lipse Geogis Others CDMS Int. Infra Netraff Others Rail Industry External Spatial User Interface Informatica Cloud Industry users •TOCs FOCs •OOR •Europe •Contractors PowerCenter+Data Quality (Batch/Change/RealTime) Data Management •Master Data •Meta Data Analysis & ReportingMobile MEAP DecisionSupport Virtualized Data Physical Data Marts Spatial User Interface Informatica Cloud Industry users •TOCs FOCs •OOR •Europe •Contractors Virtualized Data AssetDataStore PowerCenter+Data Quality (Batch/Change/RealTime) PowerCenter+Data Quality (Batch/Change/RealTime) Data Management •Master Data •Meta Data Analysis & ReportingMobile MEAP DecisionSupport Virtualized Data MDM Hub GeospatialPhysical Data Marts Virtual Data Marts BIM CAD New and Existing NewExisting Existing Asset Transactional systems Telemetry Systems Network Operations systems Ellipse Geogis Others CDMS Int. Infra Netraff Others Rail Industry External Spatial User Interface Informatica Cloud Industry users •TOCs FOCs •OOR •Europe •Contractors MDM Hub alTime) pport Geospatial Spatial User Interface Informatica Cloud Industry users •TOCs FOCs •OOR •Europe •Contractors BIM CAD AssetDataStore PowerCenter+Data Quality (Batch/Change/RealTime) PowerCenter+Data Quality (Batch/Change/RealTime) Data Management •Master Data •Meta Data Analysis & ReportingMobile MEAP DecisionSupport Virtualized Data MDM Hub GeospatialPhysical Data Marts Virtual Data Marts BIM CAD New and Existing NewExisting Existing Asset Transactional systems Telemetry Systems Network Operations systems Ellipse Geogis Others CDMS Int. Infra Netraff Others Rail Industry External Spatial User Interface Informatica Cloud Industry users •TOCs FOCs •OOR •Europe •Contractors Asset Transactional Systems Telemetry Systems Operations systems External Systems Data Management: Master Data & Meta Data Mobile MEAP Analysis & Reporting Decision Support Spatial User Interface AssetDataStore PowerCenter+Data Quality (Batch/Change/RealTime) PowerCenter+Data Quality (Batch/Change/RealTime) Data Management •Master Data •Meta Data Analysis & ReportingMobile MEAP DecisionSupport Virtualized Data MDM Hub GeospatialPhysical Data Marts Virtual Data Marts BIM CAD New and Existing NewExisting Existing Asset Transactional systems Telemetry Systems Network Operations systems Ellipse Geogis Others CDMS Int. Infra Netraff Others Rail Industry External Spatial User Interface Informatica Cloud Industry users •TOCs FOCs •OOR •Europe •Contractors
  • 18. 18 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett What Makes Mastering Asset Data Different o  Reliance on Specification to establish a metadata standard o  Some assets are linear (e.g. tracks and runways cover long distances) and have other assets embedded in them o  There are many types of assets - in the case of rail tracks there are more than 25, in the customer domain there are usually only two types of customer o  This increases the number of rules in terms of: !  Standardisation Rules !  Match rules !  Merge rules !  ETL mappings o  Assets are subject to a long lifecycle which results in more data being collected than entities like customer o  To cope with this depth of data it is helpful to break the information into layers such as: !  Location (where is it) !  Definition (what is it) !  Condition !  Usage !  Capability !  Cost !  Performance !  Work
  • 19. 19 BIM Copyright © 2014 Capgemini. All rights reserved. Asset Information Management | May 2014In collaboration with TABLE OF CONTENTS !  Business Challenges facing Asset Intensive Organizations !  Capgemini’s Asset Information Framework !  Building an Asset MDM solution Our experiences of Asset MDM !  Partnering with Informatica !  Contact
  • 20. 20 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett Our Experience A Major UK Rail Organisation !  The Informatica MDM solution has been implemented for the most important assets !  The Asset Information Specification have been created for these Assets !  The solution supplies joined up asset data to the Asset Data Store A Major UK Airport Organisation !  The Asset Information Framework was used to define which data is important for critical assets. !  The Asset Information Specification has been created for the 5 top Asset Classes. !  Next step is to implement an MDM and Asset data Store solution Predictive maintenance was estimated would save £50m pa on 22,000 miles of track assets In an Airport Management Company finding drilling samples and Specifications would save >£3m pa in rework
  • 21. 21 BIM Copyright © 2014 Capgemini. All rights reserved. Asset Information Management | May 2014In collaboration with TABLE OF CONTENTS !  Business Challenges facing Asset Intensive Organizations !  Capgemini’s Asset Information Framework !  Building an Asset MDM solution !  Our experiences of Asset MDM Partnering with Informatica !  Contact
  • 22. 22 BIM Copyright © 2014 Capgemini. All rights reserved. Asset Information Management | May 2014In collaboration with Capgemini and Informatica have a longstanding partnership Capgemini has a premium Partnership with Informatica. Together Capgemini and Informatica deliver compelling and robust solutions to our clients. !  Capgemini is named Informatica Global Partner !  Our partnership ensures we are well-linked to Informatica organization at all levels to provide the best service for our clients !  1,000+ Informatica-trained resources worldwide – across Informatica PowerCenter, Informatica Data Quality, Informatica MDM and other Informatica tools !  Dedicated Informatica Centre of Excellence (CoE) for project and market consultation, competency building as well as reporting and monitoring. We apply our core domain and business analysis expertise to create optimized Informatica objects and striking a balance between performance and cost. !  Access to Informatica software for training, demonstration, and integration purposes !  Access to online technical support and knowledge base !  Access to Informatica software upgrades and patches !  Tele-support access !  Discounts on product training/certification !  Access to product/solution professional certification. ! B2B Data Transformation ! BigData ! Cloud ! CEP ! Data Quality ! Data Explorer ! Data Privacy Product portfolio Benefits ! PIM ! ILM ! Informatica MDM ! PowerCenter ! PowerExchange
  • 23. 23 BIM Copyright © 2014 Capgemini. All rights reserved. Asset Information Management | May 2014In collaboration with TABLE OF CONTENTS !  Business Challenges facing Asset Intensive Organizations !  Capgemini’s Asset Information Framework !  Building an Asset MDM solution !  Our experiences of Asset MDM !  Partnering with Informatica ! Contact
  • 24. 24 Asset Information Management for Asset-Rich Organizations Copyright © 2013 Capgemini. All rights reserved. Frank Hewett Contact us Frank Hewettt MDM Managing Consultant h frank.hewett@capgemini.com Srikant Kanthadai Global Head of Data Management srikant.kanthadai@capgemini.com Malay Baral Head of Data Management CoE malay.baral@capgemini.com
  • 25. The information contained in this presentation is proprietary. © 2013 Capgemini. All rights reserved. Rightshore® is a trademark belonging to Capgemini. www.capgemini.com About Capgemini With more than 120,000 people in 40 countries, Capgemini is one of the world's foremost providers of consulting, technology and outsourcing services. The Group reported 2011 global revenues of EUR 9.7 billion. Together with its clients, Capgemini creates and delivers business and technology solutions that fit their needs and drive the results they want. A deeply multicultural organization, Capgemini has developed its own way of working, the Collaborative Business Experience™, and draws on Rightshore®, its worldwide delivery model.