Copyright © 2017 BRIDGE Energy Group
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• General survey respondent information
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Copyright © 2017 BRIDGE Energy Group 4
Surveyed: Over 20,000 Utility EmployeesGeography: North America
Generation, 30%
Transmission, 30%
Distribution, 40%
Investor Owned Utility
(IOU), 50%
Municipal Utility
(Muni), 25%
Cooperative (Co-
op), 21%
Other, 4%
Electric, 63%
Gas, 26%
Water, 11%
Copyright © 2017 BRIDGE Energy Group 5
By RoleBy Organization
Executive, 15%
Manager or department head, 54%
Individual contributor,
31%
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• 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
Copyright © 2017 BRIDGE Energy Group
• Planned: 36% plan major analytics projects within 24 months
• Done: 54% of major analytics projects done WITHOUT business case justification
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“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
Not Planned43%
Within 12 months
11%
Within 24 months
25%
Beyond 24 months
21%
Plan Major Analytics Project in 2017
Copyright © 2017 BRIDGE Energy Group
• 22% have predictive analytics in operation
• Another 24% are developing predictive capabilities
• Asset health and outage management top use for predictive analytics
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“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
22% 24%
10%
19%
25%
Currently inOperation
In Development Not in development,but plan to deply
within 1 year
Plan to be Deployedin 1-3 years
No Plans
State of Predictive Analytics Projects
37%33%
12% 9% 9%
Outage Management Asset Health Financial Solar Forecasting Procurement/SupplyChain
How Predictive Analytics is Being Used
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• 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
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“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
Business seeking rapid access to data
without IT involvement
51%
IT seek more capability to process and
integrate data29%
Other20%
What is Driving theNeed for Big Data
48%
31%
17%
4%
0% 20% 40% 60%
Operations
Customer
Back Office/Financial
Procurement/Supply Chain
What Types of Use Cases are Being Addressed with Big Data
27%
27%
8%
39%
0% 20% 40% 60%
No plans
Plan to deploy in 1-3 years
Plan to deploy w/in 1 Year
In Development/Operation
State of Big Data Analytics Projects
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• Responsibility for data governance is evenly split between IT and the business department
• Only 43% have a data quality program in place
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“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
Business, 51%
IT, 49%
Responsibility for Governance
Yes43%No
57%
Data Quality Program in Place
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• 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)
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“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
23%20% 20%
12%9%
7% 4% 2% 1% 1% 1%
BI Tools in Use
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• 50% of organizations are still using spreadsheet or vendor tools to report “what happened”
• Advanced analytics use cases are lagging
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“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
26%
16%11% 12%
21%
11%
4%
SPREADSHEET AND
INFORMATION
ANARCHY
DATA STORED, SECURED AND
AVAILABLE
USED TO ANSWER
"WHAT
HAPPENED?", NOT
INTUTITIVE, LIMITED
PRESENTATION
DASHBOARDS, DYNAMIC DATA USE,
ANSWER "WHAT
HAPPENED?" BUT
MORE INTUITIVE
MODELING AND
PLANNING BASED ON
HISTORICAL DATA
LEVERAGING REAL
AND NEAR-REAL-TIME DATA
BUSINESS PROCESS
CHANGE INITIATIED
BY ANALYTICS
DERIVED
INFORMATION
Utility’s Operational Analytics State
Copyright © 2017 BRIDGE Energy Group
• $6.3M – Average corporate analytics spend forecasted for 2017
• $1.9M – Average department analytics spend forecasted for 2017
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“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
Source: BRIDGE Energy Group 2017 BRIDGE Index™ Survey
Asset
Customer
36%
48%
30%Grid
Analytics Efforts – Moderate to Significant
Copyright © 2017 BRIDGE Energy Group
• Supply and availability of staff with the right skills
• Integration of systems and related data sources
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“Availability of staff with the right skills, along with availability and accuracy of data, are common challenges in the industry. Leveraging resources with cross-
vendor and utility-specific experience allows for a more collaborative environment to achieve greater integration and success.” - BRIDGE Energy Group
Copyright © 2017 BRIDGE Energy Group 15
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For more information about this survey or to discuss creative and pragmatic solutions for improving
operational performance, please contact BRIDGE at:
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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.
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