Authorized usage General survey respondent information Survey findings Contact information Legal notice. Copyright 2017 BRIDGE Energy Group

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Rosalind Hodges
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2 Authorized usage General survey respondent information Survey findings Contact information Legal notice 2

3 Refer to Legal Notice at end of presentation You are free to share this document, in its entirety, with others (both inside & outside your company) You are free to quote the contents as long as you clearly reference the source as: Source: BRIDGE Energy Group 2017 BRIDGE Index Grid Analytics Survey 3

4 Gas, 26% Water, 11% Distribution, 40% Surveyed: Geography: Generation, 30% Over 20,000 Utility Employees North America Electric, 63% Cooperati ve (Coop), 21% Other, 4% Transmission, 30% Municipal Utility (Muni), 25% Investor Owned Utility (IOU), 50% 4

5 By Organization By Role Individual contributor, 31% Executive, 15% Manager or department head, 54% 5

Ameren American Transmission Company Arkansas Electric Co-op AVANGRID BC Hydro Brownsville Public Utilities Board Carbon Power & Light CenterPoint Energy Central Texas Electric Co-op City of Colton

6 Ameren American Transmission Company Arkansas Electric Co-op AVANGRID BC Hydro Brownsville Public Utilities Board Carbon Power & Light CenterPoint Energy Central Texas Electric Co-op City of Colton City of Leesburg Electric Dept City of Newton City of Tacoma City of Wadsworth Utilities Cleco CMS Energy Connexus Energy Consumers Energy Crisp county power Dakota Energy Cooperative Dallas Water Utilities Dominion DTE Energy Duke Energy Duquesne Light East Kentucky Power Co-op Entergy EnWin Utilities Ltd. Eversource Fairpoint FortisBC Gibson Energy Huntsville Utilities Idaho power ISO NE KCPL Lafayette Utilities System Lakeland Electric London Hydro Loup River PPD Madison Gas & Electric Manitoba Hydro Maquoketa Valley REC Mason County PUD Matanuska Electric MEAG Power MISO National Grid NIPSCO Nova Scotia Power Oncor Electric Delivery Pacific Gas and Electric Platte River Power Authority Power Stream Prairie Power Salt River Project Santee Cooper Sempra South Central Power South Jersey Gas Southern California Edison Tallahatchie Valley Electric Tri-County EMC Tri-State G & T Tucson Electric Power TVA United Power Unitil Village of Winnetka We Energies Westar Energy Xcel Energy 6

Planned: 36% plan major analytics projects within 24 months Done: 54% of major analytics

24 months 21% Within 24 months 25% Within 12 months 11% Not Planned 43% Many major analytics

To achieve success, there needs to be business sponsor buy-in and clear, measurable goals

7 Planned: 36% plan major analytics projects within 24 months Done: 54% of major analytics projects done WITHOUT business case justification Plan Major Analytics Project in 2017 Beyond 24 months 21% Within 24 months 25% Within 12 months 11% Not Planned 43% Many major analytics projects are conducted without business case justifications. To achieve success, there needs to be business sponsor buy-in and clear, measurable goals defined for all analytics projects. Be sure to also include plans to operationalize the projects once completed. - BRIDGE Energy Group 7

8 22% have predictive analytics in operation Another 24% are developing predictive capabilities Asset health and outage management top use for predictive analytics 22% Currently in Operation 37% State of Predictive Analytics Projects 24% In Development 10% Not in development, but plan to deply within 1 year 19% Plan to be Deployed in 1-3 years How Predictive Analytics is Being Used 33% 25% No Plans 12% 9% 9% Outage Management Asset Health Financial Solar Forecasting Procurement/Supply Chain Encouraging to find nearly half the utilities push toward predictive analytics for asset and outage management. Significant operational improvement benefits can be achieved through the use of visualization and advanced analytics. - BRIDGE Energy Group 8

What is Driving the Need for Big Data What Types of Use Cases are Being Addressed with Big Data 47% have big data solutions in operation or will be within 1 year Operations and customer use cases

9 What is Driving the Need for Big Data What Types of Use Cases are Being Addressed with Big Data 47% have big data solutions in operation or will be within 1 year Operations and customer use cases most common for big data Main driver Business wants rapid access to data without needing IT Other 20% IT seek more capability to process and integrate data 29% Business seeking rapid access to data without IT involvement 51% Procurement/Supply Chain Back Office/Financial Customer Operations 4% 17% 31% 48% 0% 20% 40% 60% State of Big Data Analytics Projects There is a move to gain more insight and create predictive capabilities using all of the data through the use of open source tools. Big data open source technologies are gaining ground over vendor specific tools - BRIDGE Energy Group In Development/Operation 39% Plan to deploy w/in 1 Year 8% Plan to deploy in 1-3 years 27% No plans 27% 0% 20% 40% 60% 9

Responsibility for data governance is evenly split between IT and the business department Only 43% have a data quality program in place Responsibility for Governance IT, 49% Business, 51% Data

10 Responsibility for data governance is evenly split between IT and the business department Only 43% have a data quality program in place Responsibility for Governance IT, 49% Business, 51% Data Quality Program in Place No 57% Yes 43% While data quality is critical to useful analytics, most utilities do not employ active data governance frameworks for operational data. It is recommended that data quality be part of any new initiative going forward. - BRIDGE Energy Group 10

11 Oracle, Microsoft and SAP account for 63% of BI tools in use today Only 5% don t have at least 1 BI tool in place Only 25% report having more than 2 tools (14% have 4 or more) 23% 20% 20% BI Tools in Use 12% 9% 7% 4% 2% 1% 1% 1% While there are currently a broad range of BI tools in use - there is a shift toward more purpose-built analytic solutions and less vendor-specific solutions. Utility organizations must leverage lessons learned from industry peers and knowledgeable vendor-neutral consultants for purchasing/replacing decisions. - BRIDGE Energy Group 11

12 50% of organizations are still using spreadsheet or vendor tools to report what happened Advanced analytics use cases are lagging 26% SPREADSHEET AND INFORMATION ANARCHY 16% DATA STORED, SECURED AND AVAILABLE Utility s Operational Analytics State 11% 12% USED TOANSWER "WHAT HAPPENED?", NOT INTUTITIVE, LIMITED PRESENTATION 21% DASHBOARDS, MODELING AND DYNAMIC DATA USE, PLANNING BASED ON ANSWER "WHAT HAPPENED?" BUT MORE INTUITIVE HISTORICAL DATA 11% LEVERAGING REAL AND NEAR-REAL- TIME DATA 4% BUSINESS PROCESS CHANGE INITIATIED BY ANALYTICS DERIVED INFORMATION Over all, there is a greater need to move beyond reporting, to real-time situational awareness using operationalized analytics that take into account the integration of data from multiple operational sources. Use cases combining operational data more holistically will be more prevalent in the coming year. - BRIDGE Energy Group 12

$6.3M Average corporate analytics spend forecasted for 2017 $1.

to Significant Grid 30% Asset 36% Customer 48% Source: BRIDGE Energy Group 2017 BRIDGE

Analytics initiatives in the modern utility will be used to define operational

13 $6.3M Average corporate analytics spend forecasted for 2017 $1.9M Average department analytics spend forecasted for 2017 Analytics Efforts Moderate to Significant Grid 30% Asset 36% Customer 48% Source: BRIDGE Energy Group 2017 BRIDGE Index Survey Analytics will take lead the for the 21st century Utility. Analytics initiatives in the modern utility will be used to define operational changes, efficiency improvements, retain human capital knowledge and determine where capital will be spent. - BRIDGE Energy Group 13

14 Supply and availability of staff with the right skills Integration of systems and related data sources Availability of staff with the right skills, along with availability and accuracy of data, are common challenges in the industry. Leveraging resources with crossvendor and utility-specific experience allows for a more collaborative environment to achieve greater integration and success. - BRIDGE Energy Group 14

15 For more information about this survey or to discuss creative and pragmatic solutions for improving operational performance, please contact BRIDGE at: Main: Toll Free:

16 This Report is based on responses to a survey of North American utility employees. BRIDGE Energy Group, Inc. [BRIDGE] assumes no legal liability or responsibility for the accuracy or completeness of any information, or process disclosed. This Survey may include facts, views, opinions and recommendations of individuals and organizations deemed of interest and assumes the reader is sophisticated in this industry. User waives any rights it might have with respect to this Report under any doctrine of third-party beneficiary. Use of this Survey is at user s sole risk and no reliance should be placed upon any other oral or written agreement, representation or warranty relating to the information herein. THIS REPORT IS PROVIDED ON AN AS-IS BASIS. BRIDGE DISCLAIMS ALL WARRANTIES OF ANY KIND, EXPRESSED OR IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTY OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE OR NON-INFRINGEMENT. NEITHER BRIDGE, NOR ITS, AFFILIATES, SERVICE PROVIDERS, LICENSORS, OFFICERS, DIRECTORS OR EMPLOYEES SHALL BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF OR RELATING TO THIS REPORT OR RESULTING FROM THE USE OF THIS REPORT, INCLUDING BUT NOT LIMITED TO DAMAGES FOR LOSS OF PROFITS, USE, DATA OR OTHER INTANGIBLE DAMAGES, EVEN IF SUCH PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. This Survey (and the content and information included therein) is copyrighted, owned or licensed by BRIDGE who may restrict your access to this Report, or any portion thereof, at any time without cause. User shall abide by all copyright notices, information, or restrictions contained in any content or information accessed through this Report. User shall not reproduce, retransmit, disseminate, sell, distribute, perform, display, publish, broadcast, circulate, create new works from, or commercially exploit this Report (including the content and information made available through this Report), in whole or in part, in any manner, unless authorized as stated therein or without the written consent of BRIDGE, nor use the content or information made available through this Report for any unlawful or unintended purpose. 16

2016 BRIDGE Index Utility Industry Survey Work and Asset Management Survey Results Summary. Published: April 2016

2016 BRIDGE Index Utility Industry Survey Work and Asset Management Survey Results Summary Published: April 2016 Contents Authorized usage General survey respondent information Survey findings Contact