SAS Visual Analytics at GDF SUEZ Electrabel

Presentation for SAS FORUM, October, 9 2014

■ GDF SUEZ Electrabel

■ Main drivers for SAS Visual Analytics

■ Evolution of Reporting Architecture

■ Roadmap

■ Exploring WEB data

■ Partners

■ Retail Sales Channels Report

- The old version

- SAS Visual Analytics demo

■ Lessons learned/Conclusion

■ Q&A

Index

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Electrabel, part of GDF SUEZ Group

ENERGY INTERNATIONAL

GLOBAL GAS & LNG

INFRA-STRUCTURES

ENERGY SERVICES

ENERGY EUROPE

Belgium – Luxembourg

GDF SUEZ Key figures 2013

• €81,3 billion in 2013 revenues.

• €27 to €30 billion of investment per year over 2014-2016.

• A presence in close to 70 countries.

• 147,200 employees throughout the world

• Inc. 59,700 in power and natural gas

• and 87,500 in energy services.

• 800 researchers and experts in 7 R&D centers.

• 113.7 GW generating capacity

• 17 GW renewable energy

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Electrabel, core business

Electricity generation

Sales of electricity, natural gas and energy products and services

Those activities are optimized by Energy Management & Trading

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Electrabel key figures 2014/2013

4,945 collaborators

52.3 TWh electricity sales

46.3 TWh gas sales

2.86 M customers of which 410,000 “green”

9,020 MW generation capacity of which 64%

without CO2 (share Electrabel)

461 MW renewable energy

€ 530 million taxes

€ 12.5 billion turnover

ca. € 400 million investments and maintenance

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Generating facilities (July 2014)9 020 MW, share EBL

Combined cycle gas turbine (CCGT)

Cogeneration

Conventional

Conventional with biomass

Nuclear

Pumped storageWindHydroPhotovoltaic

■ GDF SUEZ Electrabel

■ Main drivers for SAS Visual Analytics

■ Evolution of Reporting Architecture

■ Roadmap

■ Exploring WEB data

■ Partners

■ Retail Sales Channels Report

- The old version

- SAS Visual Analytics demo

■ Lessons learned/Conclusion

■ Q&A

Index

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Main Drivers for SAS Visual Analytics

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Setting up a dynamic and multi-channel presentation layer for internal reporting purposes.

Automation of report presentation, replacing semi-automatic and manual MS-Office based solutions.

Enhance Data Analysis capabilities of M&S Reporting, allowing analysis of large (huge) amounts of data.

Maximize flexibility in reporting, due to autonomy of M&S Reporting department.

Leverage on in-house SAS knowledge.

Maximize combination of data out of different source systems (internal & external)

■ GDF SUEZ Electrabel

■ Main drivers for SAS Visual Analytics

■ Evolution of Reporting Architecture

■ Roadmap

■ Exploring WEB data

■ Partners

■ Retail Sales Channels Report

- The old version

- SAS Visual Analytics demo

■ Lessons learned/Conclusion

■ Q&A

Index

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Evolution of Reporting Archtecture

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SASBASE

BW (cubes)

E4U

Pricing

tools

IRIS

DataWareHouse

SourceData

ETL

Publication &

Analytics

SASBASEBW

(cubes)

SAS VA

BW -ODS

Excel, Access, Powerpoint, etc.

BW -ODS

OtherM&S Appl.

External data

(DGO, etc.)

E4U

Pricing

tools

IRIS

OtherM&S Appl.

External data

(DGO, etc.)

AS IS TO BE

STARSTAR

Excel, Access, Powerpoint,

etc.

Leveraging SAS Base data management capabilities

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■ GDF SUEZ Electrabel

■ Main drivers for SAS Visual Analytics

■ Evolution of Reporting Architecture

■ Roadmap

■ Exploring WEB data

■ Partners

■ Retail Sales Channels Report

- The old version

- SAS Visual Analytics demo

■ Lessons learned/Conclusion

■ Q&A

Index

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Deployment Roadmap

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About 50 reports (management & operational) will be developed in 2014.

13/Q4 14/Q1 14/Q2 14/Q3 14/Q4

InfrastructureTechnical

Implementation

Training

PilotB2C

SalesReporting

Contract

Performance & Workload Management

B2BVisual Management

M&S Dashboard

B2CVisual

Management

B2BSales Reporting

WEB Statistics

New Developments

DIANASTAR

ITProject

■ GDF SUEZ Electrabel

■ Main drivers for SAS Visual Analytics

■ Evolution of Reporting Architecture

■ Roadmap

■ Exploring WEB data

■ Partners

■ Retail Sales Channels Report

- The old version

- SAS Visual Analytics demo

■ Lessons learned/Conclusion

■ Q&A

Index

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Exploring WEB Data

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A combination of WEB usage statistics with Customer information will allow to combine Customer Profiles with Web Usage trends, in order to better target customer groups and enhance capabilities of the E-channel.

■ GDF SUEZ Electrabel

■ Main drivers for SAS Visual Analytics

■ Evolution of Reporting Architecture

■ Roadmap

■ Exploring WEB data

■ Partners

■ Retail Sales Channels Report

- The old version

- SAS Visual Analytics demo

■ Lessons learned/Conclusion

■ Q&A

Index

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Partners

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Intense collaboration with partners has brought instant success :

Installation of Software

Implementation of initial set-up

Implementation of data transfer principles between SAS environments

Implementation of Pilot Report (See Demo)

Documentation of working principles and governance rules.

Technical support for Electrabel specifics.

■ GDF SUEZ Electrabel

■ Main drivers for SAS Visual Analytics

■ Evolution of Reporting Architecture

■ Roadmap

■ Exploring WEB data

■ Partners

■ Retail Sales Channels Report

- The old version

- SAS Visual Analytics demo

■ Lessons learned/Conclusion

■ Q&A

Index

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The Old Version

Retail Sales Channels Report

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Weekly Manual production of 25

PDF pages, based on MS-Office

reports. (1 day effort)

Live DEMO

Retail Sales Channels Report

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Weekly automatic refresh

of SAS VA Report.

■ GDF SUEZ Electrabel

■ Main drivers for SAS Visual Analytics

■ Evolution of Reporting Architecture

■ Roadmap

■ Exploring WEB data

■ Partners

■ Retail Sales Channels Report

- The old version

- SAS Visual Analytics demo

■ Lessons learned/Conclusion

■ Q&A

Index

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Lessons learned

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Organisation

Sufficient effort needs to be invested in change management for report consumers.

Strict control on usage of ‘in-memory’ data structures is necessary

Data preparation is key in order to allow for fast deployment of reports.

Fast start with implementation partner proves to be worthwhile.

Dedicated VA development team needs to be put in place in the early stages.

Solution

Print functionality needs to be provided.

Version 6.3 struggles with STAR Schemes from a performance point of view.

Differences of version and supporting OS for SAS BASE and SAS VA leads to additional data manipulations.

■ GDF SUEZ Electrabel

■ Main drivers for SAS Visual Analytics

■ Evolution of Reporting Architecture

■ Roadmap

■ Exploring WEB data

■ Partners

■ Retail Sales Channels Report

- The old version

- SAS Visual Analytics demo

■ Lessons learned/Conclusion

■ Q&A

Index

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Q & A

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Copyr i g ht © 2013, SAS Ins t i tu t e Inc . A l l r ights reser ve d .

Twitter Contest – Tweet to win prizes!SAS Forum

A. Decision making based on geographical visualisations.

B. Detection of correlations between external and internal data sources.

C. Intuitive switching between aggregated and detailed data.

5. Which of the following SAS Visual Analytics enhanced data

analysis capabilities were shown during the demo?

Tweet your answer:

Example: @spicyanalytics 5C

Prizes to win:

1st prize: a ticket for Analytics 2015

2nd prize: a book of Prof Bart Baesens: “Analytics in a big

data world”

3rd to 30th prize: chocolates with pepper

Winners will be contacted post-Forum !Start of your tweet Question # Your answer