Big Data and Business Intelligence 101 Starting the Conversation

Transcription

1 Big Data and Business Intelligence 101 Starting the Conversation Travis Detherage WaterOne 2017 ISA Water/Wastewater and Automatic Controls Division Symposium (WWAC) 1

2 Presenter Biography Travis Detherage 19 Years with WaterOne Treatment and Distribution System Operation Online Water Quality Instrumentation Technician SCADA HMI Development Currently: Data Analyst - Production Division Business Intelligence and Data Governance Visioning Coordination of SCADA Master Planning Project Report and Data Visualization Tool Development Operational Event Analysis AAS - Environmental Water Technology Degree Fort Scott Community College 2

3 Big Data and Business Intelligence 101 Starting the Conversation 3

4 Presentation Goals Share WaterOne s Journey Define Basic Buzz Words and Terminology Discuss Business Intelligence Fundamentals Data Governance Data Integration BI and Analytics Data Visualization Tips for Creating an Analytically Driven Utility 4

5 The Journey Identifying the Need 2014 SCADA Visioning Organization Wide Identified Needs Geospatial Displays Predictive Maintenance Leak Detection AMI Integration Main Break Analysis Video Surveillance Customer Awareness = 5

6 The Journey Organization-Wide Data If SCADA can t do it all, what do we need? 6

7 What Is Big Data? 7

8 What Is Business Intelligence? Is BI Software? Platform? Magic? 8

9 What Is Business Intelligence? Business intelligence (BI) is a technology-driven Process for analyzing data and presenting actionable information for informed business decisions. Data Sources Content Management Master Data Management Data Integration Data Storage Performance Management Analytics Information Access Business Process Management Information Governance Technology Platform 9

10 Business Intelligence Expectations Relevant data In the proper Context Where we need it When we need it High Quality Information on Tap? 10

11 The Utility of Data Utility: the state of being useful, profitable, or beneficial Raw Water Raw Data Clarification Filtration Storage Distribution Process to Value Governance Integration Data Warehouse BI/Analytics Water Utility Data Utility 11

12 Data Governance Manage Data as an Asset Raw Water Raw Data Clarification Filtration Storage Distribution Process to Value Governance Governance Integration Data Warehouse BI/Analytics Water Utility Data Utility 12

13 Data The Digital Shadow of Your Process How clear is your picture? 13

14 Data Governance Managing Data as an Asset Detailed planning and long term vision Just like a pump or pipe 14

15 Data Governance Roles Typical data governance team Role Data Executive Data Owners Data Stewards Data Specialists Authority, Responsibilities, and Accountabilities Executive level sponsor Top-down leader (when you need one) Senior managers from business areas that depend on data From Business, not I.T. Has a stake in the data quality Business data subject matter experts (SMEs) who provide linkage among owners of different but related data subjects Core of Data Governance team Takes a global view Achieves consensus results without exercising authority Have custodial responsibility for the data (DBAs, Data Architects) 15

16 Data Governance Fundamentals Getting Started Data Governance = Data Process Improvement The Business Stakeholders Own the Data Show the Big Picture Start with some quick wins Be Non-Invasive (When possible ) 16

17 Data Integration Create Information Unity Raw Water Raw Data Clarification Filtration Storage Distribution Process to Value Governance Integration Integration Data Warehouse BI/Analytics Water Utility Data Utility 17

18 Data Integration Principles and Practices Benefits of bringing the pieces together Data Asset Value Information Quality Risk Mitigation Business Agility 18

19 Business Intelligence/Analytics Utilize and Visualize Data Raw Water Raw Data Clarification Filtration Storage Distribution Process to Value Governance Integration Data Warehouse BI/Analytic BI/Analytics Water Utility Data Utility 19

20 BI/Analytics Fundamentals The Business Intelligence Continuum BI Context User Applied Context 20

21 Creating an Analytically Driven Utility BI Maturity Model 21

22 Creating an Analytically Driven Utility Tips Educate the entire business on the value of data Use current frustrations to Sell data governance Define business problem before choosing the tool Audit existing resources (Technology and People) Start small and grow systematically Allow freedom to explore, but validate and formalize 22

23 Next Steps Turning Insights Into Impact Build an Interdepartmental Data Competency Team Get the right people in the right places Define a Mission and Vision Begin with the end in mind Market to the organization Define Our Data Assets You can t manage what you don t understand Develop a Data Framework Make data usable across organizational boundaries 23

24 Presentation Summary Starting the Conversation Know the Buzz Words, but see through the hype Business Intelligence is a process Focus on the fundamentals Sell the value to your organization Ask others what s worked for them Share your story! 24

25 Big Data and Business Intelligence 101 Questions? Travis Detherage Data Analyst 25