Aggreko are a leading provider of temporary power and temperature control solutions, serving customers across the globe as they work on projects ranging from the Olympics to aiding humanitarian disaster relief. In this talk, Helena and Andy will discuss how the Insights team have developed scalable machine learning solutions to support the business. In particular they will discuss fuel consumption forecasts that have helped Aggreko’s fuel logistics teams improve customer service levels and reduce costs by becoming more proactive and insight driven.

1. Embedding Insight Through
Prediction Driven Logistics
Data+AI Summit, Nov 2020
Andy McMahon – Analytics Team Lead
Helena Orihuela Salvatierra – Senior Data Scientist
D R I V I N G V A L U E F R O M D A T A

2. We believe in the positive impact
of power and the ability to control
temperature. We believe it opens up
opportunity and creates potential for
individuals, communities, industries
and societies all over the world.
Together and over time,
we believe our services make
a massive difference.
OUR MISSION

3. KEY FACTS
10,009 MW
Power in our fleet
£1,613m
2019 revenue
265 locations
Sales and services centres
Permanent and temporary
Where we operate
7,000 employees
100 countries
A global company, listed on the London Stock Exchange
Local expertise to help our customers make their difference

4. 4
AN E X T E N D E D D AT A T E AM
Internal Partners
Leverage expertise across the company and
ensure all projects are tied to strategic
business objectives.
Advanced Analytics
Dedicated to understanding our data at
a deeper level with a focus on analysis,
algorithms and decisions.
Business Intelligence
Provide operational reporting to the business;
getting insight to the right people at the right
time
Data Engineering
Tasked with ingestion, transformation and curation
of our data using the latest cloud technologies.
Data
TB’s
Insight
$m’s
ML
Algorithms >10

5. 5
E MB E D D I N G I N SI G H T : O N E AN ALY SI S , MAN Y O U T PU T S
AMS
Delta Lake
Machine Learning ModelsAssets
Data Analytics
Production Environment
Results

6. E MB E D D I N G I N SI G H T : O N E AN ALY SI S , MAN Y O U T PU T S
Assigned
appropriate
‘Priority’ based
on severity of
issue and need
for action.
Predictive alarms with high level customer
and application information.
Contextual
information
such as satellite
views, notes on
the asset and
contact
information.
Interactive web application where alarms are surfaced. Can be used for analysis and to
trigger appropriate operational response to asset issues.6

7. EXTERNAL TANK FUEL LEVEL PREDICTION
7

8. F U E L SE R V I C E S
ARM
Client
Customers agree that we will
manage their fuel
requirements.
Aggreko Remote Monitoring
(ARM) gives 24/7 visibility of
tank levels.
Managing thousands of
tanks is complicated, fuel
outages or high logistics
spend can occur.
8

9. T H E AR C H I T E C T U R E
9
Delta Lake
Customer
Information
Telemetry DataRental Data
Equipment
Configuration
Aggreko Libraries External Libraries
Data Acquisition and Modelling Pipeline
Orchestrators Messaging Interface

10. F U E L LE V E L PR E D I C T I O N : T H E MO D E L
Data Ingestion
• Works at asset level
• Based on 2 months
historic data
Bespoke Forecasting Model
• Extract consumption pattern
• Forecast when an outage is going to happen
• Send an alert if is less than threshold
Data Quality & Feature Engineering
• Data analysis
• Data cleaning
• Extract and transform signals
Model
Fuel Levels
Equipment Configuration
Tank Configuration
Agreement Information
…
UDF UDF
Feature
Engineering
1 0

11. DEMO
1 1

12. SU MMA R Y
• At Aggreko, analytics is embedded as part of our operational business.
• Collaboration is at the heart of our strategy and is critical to our success.
• Supporting established processes ensures uptake and feedback and value.
• Our global presence and 24/7 ops means we have to provide insight in multiple ways and
dynamically as issues arise.
• Our platform and tool choices are designed with this flexibility in mind.
• Our machine learning models already drive millions of dollars of value annually.
• Prediction driven logistics will lead to an improvement in our operational efficiency and levels
of customer service.
12

13. QUESTIONS
1 3