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British Petroleum

BP is one of the world’s largest energy companies, providing its customers with fuel for transportation, energy for heat and light, retail services and petrochemicals products for everyday items. BP is a global company with revenue of $285 billion operating exploration in 26 countries with 28, 500 service stations with 102,900 employees. The company operates in four segments: Exploration and Production; Gas, Power, and Renewables; Refining and Marketing; and Petrochemicals. The Exploration and Production segment engages in crude oil and natural gas exploration, field development and production, management of crude oil and natural gas pipelines, processing and export terminals, and LNG processing facilities. The company also develops, produces, and markets solar panels and wind farms. Its other activities include gas fired power generation projects. BP also engages in supplying, trading, refining, marketing, and transporting crude oil and petroleum products to wholesale and retail customers. The Petrochemicals segment produces chemicals and plastics through subsidiaries, joint ventures, and associated undertakings.

Given the global nature of its diverse business, market and customer base, BP is faced with enormous data management challenges. EWSolutions has been working with BP since 2004 to assist their Enterprise Architecture group to develop overall Enterprise Information Architecture Framework which includes:

  • Information Architecture – Goals/Principles/Value
  • Governance Model
  • Information Quality
  • Information Lifecycle management
  • Information Services
    • Structured Data
      • Transactional
      • DW/BI
      • Master data
    • Unstructured Data
  • Information Models/Taxonomy
  • Information Catalog / Meta Data

EWSolutions consultants have contributed to this architecture framework and are also engaged in developing detailed strategy, plan, tools/technology selection and pilots around:

  • Master Data Management
  • Meta Data Management
  • Data Quality management

Master Data Management Strategy

A key objective is to gain control over the various sets of master data (e.g., customers, suppliers, products) currently stored and managed independently across the BP enterprise. A key objective of this master data management effort is to minimize and eventually eliminate the problems associated with redundant master data, such as continually increasing costs to maintain this data and problems for decision makers caused by data inconsistencies.

EWSolutions assisted BP in developing a Master Data Management Strategy that included:

  • Confirming and refining the objectives and guidelines for the overall initiative
  • Establishing baseline rules for master data management
  • Establishing rules for new applications
  • Developing a master data governance model
  • Creating job and skill descriptions
  • Estimating high-level benefits
  • Developing performance metrics
  • Developing an a high-level enterprise model
  • Identifying Master Data owners
  • Reviewing and determining relevant Master Data standards

EWSolutions developed a Master Data Management Technology Review that included following:

  • Defining the primary components of the master data technology architecture in order to segment and categorize tools and technology for review purposes
  • Confirm BP’s requirements and assign priorities for each technology component
  • Conduct a market survey of master data management technologies
  • Develop a short list of recommended products for each technology component
  • Define toolsets and usage scenarios

As part of the second phase of Master Data Management, EWSolutions is helping BP in implementing Master Data Distribution Services (DDS) POC. The objectives of this project are:

  • To develop detailed requirements for delivering DDS as per the master data framework
  • To capture project specific DDS requirements
  • To assess SAP/XI and other technologies already in use at BP for data access and delivery requirements and identify gaps
  • To pilot EII technologies in order to fill the gaps, as needed
  • To finalize technology recommendations for DDS data access and delivery

Master Data Management: Data Profiling & Data Quality Strategy and POC

As part of the second phase, EWSolutions is developing a Data Profiling and Data Quality strategy. Data Quality is very important for master data repository and its usage. Data quality represents accuracy, consistency, freshness and completeness, and these are key factors for success of master data repositories. In order to assess and improve the level of data quality at BP, one must understand and measure the data quality level initially and then improve the data quality on an on-going basis. The objectives of this project are:

  • To develop initial requirements document for Data Profiling and Data Quality (DPQ)
  • To capture project specific DPQ requirements
  • To conduct proof-of-concept projects for DPQ tools and technologies
  • To develop DPQ Metrics, process and procedures
  • To finalize technology recommendation for DPQ