If you’re like most businesses today, you’re dealing with more data than you ever imagined possible. And you know there’s a wealth of insights inside of it. But how can you access those insights when it’s a challenge even getting your data ready to analyse?
1. Christopher Dean
Business Intelligence Business Architect
On a mission to build a new Business Intelligence & Analytical capacity within and
across the Travis Perkins group.
My role is to formulating the strategy and delivery model to establish a data driven
culture across the organisation.
3. We’re building better, together
Travis Perkins plc operates 20+ businesses across the UK and owns
19 product brands within these businesses. Everything we do and sell
is all around customers. We're proud to have helped to build Britain for
over 200 years.
4. Why now?
Silo’s need to be replaced by a
Single Truth, as speed to
insight is critical for business
success. Today Travis Perkins
has over 60 different locations
of data...
5. 9 million records loaded each day for our stock metrics
10,000+ products X 230+ stores X 365 days
Our Big Data Story (just one brand example)
6. As we become more customer focused, insight to action can only work with single version of the truth
provided by the Data Lake. Becoming more fact based in our decisions will increase sales and reduce costs.
Information Silos across brands
Finance
Route Planning
HR / Resource
Supply Chain
Accounts Payable
Fleet Operations
Warehouse Mgmt
Till Transactions
Ranging / Pricing Customer
Scalable
Self-Service
Performant
Aligned
Single version
of the truth
Cost-Effective
PAYG
New Principles
Business Journey to become Analytically Minded
7. Statistical tool for
advanced analytics and
predictive and
prescriptive modelling.
Audience: Head office
Data Analysts and Data
scientists
Use case 5 :
Advanced
analytics &
modelling
Delivery of guided
interactive highly
polished and governed
fixed content without
the need for a software
licence.
Audience: External
partners or customers
Use case 4 :
External mass
consumption
Delivery of interactive
dashboards to provide
actionable insight to
business processes
decision making.
Audience: Branch /
Store Manager, RD,
head office staff etc
Use case 3 :
Interactive mass
consumption
Delivery of static
reports and
dashboards via email,
to provide actionable
insight to business
decision making.
Audience: Branch /
Store Manager, RD, etc
Use case 2 :
Static mass
consumption
A tool to enable data
discovery, analysis and
presentation /
visualisation for
enhanced decision
making.
Audience: Head office
analysts
Use case 1 :
Analytics
Data at the heart of every Use Case
Business Use Cases
8. Supplier Analytics
Sales & Stock Data, Accounts Payable, Quality
Assurance
Customer Delivery
On Time & In Full
Pricing
Sales Transactions & Product Files
Customer Rebates
Trading Terms & Invoiced Goods
Human Resources
HR Staff Utilisation / Modelling
9. 3 Tier Architecture - “right tool for the right job”
New technical challenges appear as our Data Grows
Ingest &
Transform
Store
& Query
ConsumeCloud-Based
Serverless
Software as
a Service
Browser
Based
Integrated
TECHNICAL Principles
10. CEO ASK: Develop a world class solution for our Suppliers
Use Case 4: External Mass Consumption
1. Deliver data to
3000 suppliers
1. Handle 30 millions
records per day
1. Device centric
“Insight to Action is the key enabler
in providing data to our Suppliers;
this is the differentiator that will help
optimise Travis Perkins supply chain.
No one teaches you to use
Facebook or Amazon; digesting
insight & data should be no
different.”
11. Travis Perkins have a requirement of a much more
enriched user experience; Qlik Analytics Platform
provides that ‘wow’ factor in serving up data rich
content.
Making Data Easy to Consume
A single visual analytics platform that extends and
enhances the use of Qlik across and beyond the
organisation
Optimised to incorporate open source technologies
Create custom visualisations and extensions in a
governed way
13. > Expand the data set and
dashboards given to suppliers
& customers
> Deliver data Ingestion
roadmap into the Group Data
Lake
> Expand Use Case 1 & 2 into
wider parts of the organisation
> UK / EU compliance GDPR
& Supplier Payments
> Associated Big Data
Indexing based upon the
learning from ODAG
> Develop machine learning
model for Basket Analysis into
simple dashboards
> Develop a class leading
price engine that can be
replicated across Brands
What’s Next
Strategic Focus for
Travis Perkins &
Business Units
> Increase customer focus &
understanding
> Broaden horizontal data
analysis across business units
> Develop data literacy across
the business (at all levels)
> Continually use BI Sandbox
to incubate ideas & proposals
How does Business
Intelligence enable the
Group Strategy
How are 3rd parties
enable Travis Perkins
& BI
14. Key Takeaways
1
2
3
4
Don’t underestimate the explosion of Big Data, have you got the right tools,
technologies and processes in place to handle it?
Dashboard design is critical to reduce cognitive overhead, actionable insight should be
the driver behind every analytical output. Not the volume of data.
Start off small, demonstrate the ROI and then grow your capability & coverage. It can
be timey & expensive connecting multiple data sources all at once.
Use accelerators (3rd parties) to leapfrog understanding, you only have to be one step
ahead of your business colleagues, not industry experts