Establishing A Data Management Fabric For Grid Modernization At Exelon

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Presentation transcript:

Establishing A Data Management Fabric For Grid Modernization At Exelon Dean Hengst, Manager IT Architect, Analytics Projects & Support

Background Exelon is embarking upon a multi-year Business Intelligence Data Analytics (BIDA) program. This program is inclusive of all Exelon Utilities and data “domains” identified to be in scope. Our business leadership for each domain ensures that we are pursuing use cases to derive the most business value. The Exelon Information Technology BIDA team in an effort to support the overall BIDA program and the first project domain (Smart Energy Services), has developed a reference architecture of capabilities to be used as a template for future solutions and best practices. The reference architecture is comprised of both hardware and software solutions (referred to as the Data Analytics Platform) to enable the business requirements of current and future domains. The goals of our technology strategy are: To pursue a technology vendor and hosting approach to deliver the foundational Data Analytics Platform (DAP) that will be leveraged by the overall Business Intelligence Data Analytics program to support current and future domains. To select a technology vendor that provides a robust and flexible hosting solution for the Data Analytics Platform, and also offers diverse software solutions to address data ingestion, data integration and comprehensive reporting, visualization and data discovery tools. To choose a vendor that aligns to our current project requirements, timeline and reference architecture with a strong technology roadmap and partnerships in the Business Intelligence Data Analytics industry.

Overview of Exelon Business Intelligence Data Analytics Program Exelon BIDA addresses 60 opportunities to leverage analytics, clustered into 5 functional domains. The underlying Data Analytics Platform exchanges data with multiple sources and will provide flexibility for future users and vendors. Customer Grid (T&D) Business Support ` Smart Energy Customer AMI Grid (T&D) Business Support Services Experience Data Analytics Platform Grid Domains 30 use cases across: Reliability & Operations Workforce System Planning & Asset Management Distributed Energy Resources (DER) Customer Domains 18 use cases to benefit: Customer Satisfaction Energy Efficiency Demand-Side Management Cost-to-Serve, Calls per Customer Business Support Opportunities include: Crew Prep & Routing Credit & Collections Inventory Management +more 3 Confidential for Internal use only

Exelon BIDA Reference Architecture

Key Benefits of Exelon Reference Architecture Enables internal analytics and reporting by Exelon data scientists and provides data exchange for vendor analytics for all operating companies. In addition to analytics and reporting, a common internal BIDA architecture enables a standardized integration layer for internal and external data exchanges, applications and external vendor De-couples external vendor and internal data and analytics solutions, allowing for flexibility in modifying, adding or changing vendor analytics partners. Our BIDA Architecture Roadmap will consolidate data warehouse silos embedded in the individual utilities by delivering a common data repository (i.e. data lake) which is not in scope for external analytics vendors. Vendor-provided solutions for external analytics are mostly domain-centric while the internal BIDA architecture will enable cross-domain/cross operating company analysis. Data Lake design is extensible allowing for future data stores and use cases not currently identified in the 5 target domains in scope for BIDA. 1 Data Integration Layer 2 Data Analytics Platform 3 Data Exchange Layer 4 Internal Reporting & Analytics 5 External Vendor Analytics Applications 5 Confidential for Internal use only

Modelling Pyramid Subject Area Conceptual Business Entity The flow of data modelling goes from Conceptual to Implementation while passing through each layer of the pyramid Conceptual Business Entity Business Users Logical Logical Entity Architects Physical Physical Table DBAs / Developers Implementation Implemented Table / DDL Oracle DB2 SQL Server Hive

BIDA Data Model Reference Diagram Governance is key to enforcing Data Model Integrity throughout the data model design stack layers Conceptual GOVERNANCE IEC CIM App Specific Data Model Conceptual Data Model Other Industry Data Model Logical Exelon Utilities CIM HR Logical Data Model Finance Nuclear Physical Generic Physical Data Model (ANSI SQL) Hadoop NoSQL Implementation (Table/DDL) Oracle SQL Server Hive HDFS HBase MongoDB … Reporting (Presentation) Star Schema Snowflake Schema … ... … … …

BIDA Information Management – Data Zones Reporting & Known Analytics Foundation -> Dimensional Dimensional Star Schema Analytical Tools OBIEE, Visual Analyzer Columnar Foundation (Information Objects) Staging -> Foundation Data Distribution Data Exchange Oracle Fusion, Web Services Staging (RAW) (Same as Source) Archive Discovery Sandbox Source -> Staging Data Discovery Raw Data [ Same As Source] Data Exploration BDD, R, Big Data SQL