Synergy 4 Master Data Management

Transcription

1 Synergy 4 Master Data Management

2 Synergy 4 Business A large and growing business community, creating and maintaining a library of valuable business solutions, built with a robust and proven business technology.

3 One Organization. One Truth. Synergy completes the picture by providing a higher level of connectivity to organizations, bridging gaps, driving performance efficiencies, and optimizing business processes. Improved Productivity Increased Revenue Reduced Costs

4 Proven Results Executive Base strategy on solid, reliable business information Provide trustworthy compliance reporting Operational Reduce bad decision-making Improve forecasting accuracy Streamline business cycles Financial Improve revenue completeness Avoid costly mistakes Reduce analytic churn Employees Increase productivity throughout the business

5 Community

6 Synergy Evolution : Well MDM Well Audit > UWI Matrix data profiling, matching, alignment, grouping WellSync > Well Asset Management uwi & list validation, entitlements analysis Corporate Well Repository maintained and validated source of truth

7 The MDM Foundation Some form of MDM is a required foundation for enterprise BPM and BI initiatives

8 What is Master Data Management The technology, tools, and processes required to: Create and maintain consistent and accurate master data across business domains Maintain a current, centralized repository of validated asset and attribute information Publish current and accurate data to all company departments, processes, and data sources Reduce the workload by eliminating inconsistencies and errors in the master data A consolidated view of company data assets, and Design and implement a consistent unified view of assets and related activities a consistent method of aggregating and distributing a source of truth ensure that data is managed, cleansed, stored and delivered according to company policies, guidelines, and governance specifications

9 Multiple Versions of Truth : Root Causes source data not cleaned or managed properly integration data sources not integrated properly user users introduce errors analytics reporting and analytics applications security access to information not controlled properly source : Aberdeen Group, September 2009

10 Cost of Bad Master Data Management By the end of 2012, 50% of Master Data Management implementations will be regarded as failures* lack of business-oriented approach high start-up costs of MDM software and services process becoming politicized increasing budgetary concerns many vendors systems immature organizations reinventing the wheel *source : Accenture, June 2009

11 Opportunity Reduce labor intensity. Leverage existing low-cost alternatives. Adopt proven practices. Automation. Automation. Automation. Benefit from work of industry peers Avoid cost by using a proven foundation

12 Automation Actions Sequences Workflow Get Sort Filter Join Transform Send Notify UWI Matrix Hierarchy Matrix WI Matrix Well Audit Corp Well Admin Lifecycle Process - RTD Change Management Process Data Quality Monitoring

13 Business Sequence

14 The Information Hub PA FINANCE RESERVES FIELD DRILL v v v > > > < < < v v v > > > < < < ^ ^ ^ PPDM ^ ^ ^ LAND AFE

15 Industry Data Sources Synergy accesses multiple industry data sources out of the box Databases & spreadsheets of assets & attributes Enterprise ERP, CRM systems, LDAP directories Finance, Operations, and other business systems Industry data pools and 3rd party systems Public Petroleum Data Model

16 Connected Data Sources Data Services Field Data Operations Prod Accounting Divestco Data G1 PPDM GeoLogic Data Hub Geoscout Data IHS Data Hub IPL Data Hub QCData Hub Enterprise Services Active Directory AutoCAD LDAP MicroStation Onbase FieldView PVR Finance Axapta Envision JV Nexus Powervision PWSQL QByte FM Land CS Explorer GeoNexus LandMan LandRite AFE Navigator Budget EDI FITS Jiffy JOSA JOMA Mosaic OpenWells Peep Portfolio Value Navigator WellTracker WellTrax WellView WellPoint Avocet Pace Petronet Prism QByte PA Triangle XI Resource Planning JD Edwards Oracle SAP Various Excel Ultimus

17 Industry Master Data MASTER DATA FA PA FIELD DRILLING RESERVES LAND AFE PPDM Data describing business entities that span systems Key data-point relationships between systems Reference & attribute data supplies context and meaning

18 MDM Registry PA FINANCE RESERVES FIELD DRILL v v v > > > < < < v v v > > > < < < ^ ^ ^ PPDM ^ ^ ^ LAND AFE

19 MDM Repository PA FINANCE RESERVES FIELD DRILL v v v > > > < < < v v v > > > < < < ^ ^ ^ PPDM ^ ^ ^ LAND AFE

20 Approach Analyze: contents and dispositions of target systems Optimize: fill gaps, rebuild relationships, and manage exceptions Control: process to maintain consistency and accuracy

21 Major Phases Standardize the approach and improve the output Support different MDM approaches Business solutions span phases

22 Data Source Profiling Profile Assess Source Enrich Monitor Connect databases, spreadsheets, lists, text files Probe table models, schemas, profile data entities Identify key elements & relationships Generate key matrices & audit reports

23 UWI Matrix

24 Seeding UWI Records INPUT DATA SOURCE INPUT DATA SAMPLE All UWI s Land Reserves UWI Matrix UWI W500 System CS Explorer Production Field File Status Well Status Active Producing Finance PPDM Corporate Well Repository

25 Hierarchy Matrix

26 Data Mapper

27 Data Quality Assessment Profile Assess Source Enrich Monitor Utilize generated key lists to query attributes Find missing values, errors, & exceptions Identify naming and formatting issues Identify wrongly coded and categorized data

28 Data Quality Assessment Battery Code Commingled Confidential Status Cost Centre Event Status Facility Operator Field Code Ground elevation Hierarchy KB Elevation Lahee Class Last Production Date License Date License Number Licensee On Production Date Pool Code Producing Zone Rig Release Date Spud Date Total Depth True Vertical Depth Well Fluid Well Name

29 Working Interest Matrix

30 Data Sourcing Profile Assess Source Enrich Monitor Passive > Active integration Mine connected systems to identify fix candidates Apply conditional logic to address inconsistencies Cross reference groupings/categorizations/hierarchies

31 Missing Entitlements

32 Cross Reference Formations INPUT DATA SOURCE INPUT DATA SAMPLE Land Formations Land SLAVE PT. Unmatched Formations Land System Public Formations Public SLAVE POINT FM Matched Formations SLAVE POINT SLAVE POINT FM PPDM MDM Repository

33 Data Enrichment Profile Assess Source Enrich Monitor Persist validated candidates Transform unstructured > structured Format & structure entries > fill gaps Provide reconciliation reports & tools > audit

34 Corporate Well : Admin

35 Unstructured > Structured INPUT DATA SOURCE INPUT DATA SAMPLE Unstructured Mineral Rights File M Sub C Fluid PNG Land System Structured Mineral Rights From Bound Top From Form Surface To Bound Base To Form Slave Point FM MDM Repository

36 Well Ticket

37 Data Source Monitoring Profile Assess Source Enrich Monitor Scheduled checks for data consistency & quality Trigger monitor reports from update processes Monitor system relationships and interdependencies Notify systems and stakeholders of alarm conditions

38 System Interface Reports

39 Responding to Business Challenges Challenge lack of business-oriented approach high start-up costs of software and services process becoming politicized increasing budgetary scrutiny Response self-funding - business value first, last, always lowest total cost of ownership in industry - bar none users interact with products, not concepts or definitions scope. commit. deliver. many vendors systems immature organizations reinventing the wheel proven in large group of industry peers leverage existing connections, sequences, workflows, solutions