Technip Data Management Journey. IPMA Italy. Jean-Luc Brunat VP, Business Support Functions & Group Data Systems Group IT. Rome, December 3 rd 2013

Transcription

1 Technip Data Management Journey IPMA Italy Jean-Luc Brunat VP, Business Support Functions & Group Data Systems Group IT Rome, December 3 rd Sezione Informatica

2 This is Business Intelligence! 2

3 What does the business need? 3

4 How to get from there. 4

5 . to here! Group Data warehouse organized by business domains Multi-domain MDM 5 Group BI tools

6 Technip s journey 6

7 A Continuous Control of Project Execution Group Senior Management Monitoring (Monthly Project Reviews) Project Partners Client Head of Project HSE Quality System Plan Procedures Control Staffing Reporting Full authority Project Controls Planning & scheduling Work progress & productivity control Cost estimates & controls Engineering Plan Design approach Codes & standards Safety design criteria Procurement Plan Purchasing strategy Expediting & inspection Subcontracting Packing, shipping insurance and customs Construction & Start-up Plan Constructability review Subcontracting strategy Site organization Safety policy IT is critical to Technip s business performance Up to 16 Technip companies can be involved for one project Use of 12 major Group systems + numerous local systems Data coherence, sharing and timely availability are Key Success Factors Data Management is a must for our Business 7

8 Technip path to Data Management 2010 Strategic drivers Company growth Increasing size Operating centers working on multi-site projects Business processes shared across multiple companies Company transformation 2 major ongoing ERP programs for Finance and Manufacturing Group IT transformation to a Shared Services Organization Centralized shared application strategy Business objectives Business operations improvement Improve consistency of reporting without overloading the regional teams Help Project execution and enhance collaboration on projects Improve profitability of the operations by defining and governing the data Increase IT automation Proposed Solution: Data Management Systems 8 8 Programm to provide reliable performance information with innovating solutions, made of: Data Management governance Master Data Management governance and management system Enterprise Application Integration Data Warehouse and Business Intelligence solutions

9 Data Management: the 4 building blocks Group Data Governance 1 Business driven MDM MDM IT driven DWH DWH Business driven B.I. 2 Define MD Govern MD Build Data migration Data Cleansing 3 Define Domains Design data models Build Secure Connect MDM 4 NewData creation Connect Use Consolidate data sources Connect sources Define Select output Build Secure Use Publish 9 HR app ERP1 ERP2 Group apps Local apps

10 Master Data within Technip SUPPLIERS CLIENTS PROJECT PERSONS International & Technip CODIFICATIONS 10 Master Data: Business driven, Project centric

11 MDM linked with various Systems Enter information ONCE in MDM for automatic propagation to other applications! MDM Project + attributes Client Satisfaction Survey Risk Management Audit Offshore reporting Oasis MDM provides referential information to all domain systems to smooth exchange, sharing, consolidation of information (BI) 11

12 MDM Data availability & quality % SUPPLIERS IN MDM Supplier loaded Forecast Baseline % PROJECTS IN MDM Project loaded Forecast Baseline % CLIENTS IN MDM Client loaded Forecast Baseline % PERSONS IN MDM Persons loaded Forecast Baseline 0 0 TECHNIP CODIFICATIONS Material & Work Codes: aligned with the GOPS and GOPS20105 Note: doubt about completeness for Subsea Domain Business Segment & Technology Field: OK GROUP STRUCTURES: Legal Entity, Operating Center, Business Unit: OK Geographical Zone, Country: OK Region: OK 12

13 Data Management strategy Examples of on-going implementation 13

14 14

15 Project Management Report Fake project f q 15

16 Project Data 360 solution It is an innovative PLM federating application PD360 is the in house Product Lifecycle Management tool that retrieves, organizes and exposes project data coming from all phases and activities of Engineering, Procurement, Construction and Project Management systems and from Technip s Global systems (MDM, etc.). The Link for Projects Global (MDM) Scope of work and activity data Engineering Procurement Construction Project Management 16 Referential and authoring tools

17 How can the solution make it? PD360 value chain Feeds & Engineering Exploit as much as possible in real-time the engineering data Plant items Documents Actions and decisions at the right time Procurement Send raw material and suppliers data to identify direct/indirect dependencies (material, docs, etc.) Comments Reports for business analysis Construction Provide last construction status to check incoming related items status & optimize the execution sequence order Project Management Share management and planning data to correlate it to execution scope of work & activities Actions Projects Collect business data Items dependencies discovery Global Consolidated Technip Master Data(MDM) Merge and linkage of business data PES PMS Data Model More sharing & collaboration between disciplines 1 Data extract From PES (EPC) & PMS tools 2 Refinement 3 Operational usage 17

18 Conclusion 18

19 Data Management expected benefits Allows for a unified, reliable, common understanding throughout the Group Unified reporting with shared analysis dimension, same project, supplier lists Enabling Project 360 vision Improves efficiency of decision making, reporting accuracy and consistency due to data quality and confidence Simplify, improve Technip business processes Same master data between Engineering, Procurement, Manufacturing, Finance, QHSE domains Same master data between Entities working on the same project Reduces processing tasks such as double data entering, errors remediation, etc. Reduce Excel, Access usage and End-User made interfaces Reduce IT infrastructure/licenses/integration costs with consolidation of data sources Improves efficiency of meeting Technip legal obligations on financial reporting Ease Entities integration projects 19

20 Key benefits for Projects Improve Operational Efficiency Master Data is a main Business asset Knowing Suppliers & Clients (avoiding duplicates) Projects referential shared across the Group (OBS, RBS, WBS, CBS, Work codes, Mat codes) Faster Project tools set-up during the ramp-up phase Easier team training with consistent codification and processes across the group Removing duplication and manual entry in multiple systems across the enterprise Performing reporting as automatically as possible Reduce Process Errors Avoid rework (i.e. wasted time and money) Increase quality delivery with less effort Save time for Management, Operations, Cost Control and Finance Improve Decision-Making Better communication and understanding between Project Team members Better cost visibility in particular for multi-sites projects Providing operational data to reporting systems allows better insight and forecasting With better information, more informed decisions are made in time 20

21 Next steps You heard about Big Data: What for? Project scope CBS Purchasing TimeSheets Headcounts Financials Projects performance Engineering data PMR Costs WBS Market data Estimating, Supplier screening, Partner selection, etc? Must be business benefits driven 21

22 QUESTIONS??? IPMA Italy THANK YOU 22 Sezione Informatica