Maximising The Value Of AnalyticsAndrew Aitken, COO

Lanner – Who We Are

Skilled & Experienced Team

Extensive Solutions Library

Flexible & Powerful Technology

IIoT Innovator (Cloud, IoT, VR)

Predictive Digital Twins for Answering

Complex Business Questions

Diverse Customer Base Global Partner Network

Offices in UK (HQ), France & USA

Collaborative Culture

The Analytics Value Curve

Business Questions

Data

What We Do – Predictive Simulation & AnalyticsLanner have a UK HQ and are a niche leader in Predictive Simulation & Analytics. We create dynamic models of real world processes (Predictive Digital Twins) to enable companies to design, build, operate and maintain smarter dynamic processes.

• Ask “what-if?”• Evaluate cause & effect• Predict future performance

Application Areas

Business & Engineering Services

Aviation Aerospace & Defence Automotive

Manufacturing CPG, Pharma, Food & Beverage

Distribution & Retail

Energy Finance Government & Health

• How can we do more with less cost?

• How can we best introduce/justify new technologies (e.g. 4.0)?

• How can I de-risk new investments?

• What Continuous Improvement initiatives should be prioritised?

• What do we need to do to deliver the required Service Levels?

• How can I best plan critical resources and skills?

• How can we best manage the performance of our Supply Chain?

• How can we best balance customer service levels v cost?

The Recurring Challenges

Saved €10 million on LEAF Battery Production “Simulation was the only way to provide

a scientific risk free business case”Bob Scurr, Project Lead, Nissan

£1.4 million inventory costs saved in 6 months“Lanner provided us with the insight needed to make better decisions and increase efficiency“Trevor Norman, CI Manager, Sanofi Aventis

Increased throughput by 18% and saved £2 million“Having seen the impact this technology brings, means we must use it again and

again” Danny Clark, Manager, Coca-cola Enterprises

It’s about the ability to deliver across different markets confidently and reliably

“We are able to optimise our operations in a complex environment and be fully aware of possible risk”Frederik Smits van Oyen, Gazprom Global LNG

Cashable savings in excess of £35 million“I would no longer make a strategic resourcing decision for our force without simulating it first”

David Coleman, Derbyshire Constabulary

Improved process efficiency by over 60%“At first we did not believe the improvements that

WITNESS was showing we could make“ Miles Wallis, Process Engineer, BAE Systems.

Massive return on investment

It’s All About Value!

Lessons Learnt - Common Pitfalls:

• Plenty of data, yet insufficient understanding• Conflicting objectives• Many big decisions still being made on instinct, not on fact or science• More effort on reporting, rather than exploring better options• Islands of Analysis - fragmented, rather than E2E analytics approach• ‘000’s of “KPIs” – oxymoron• Lack of engagement

Critical Success Factors:

• Don’t “just go and play with analytics”• Align with strategic business goals and decisions • Drive areas for detailed analysis top-down, not bottom up. • Drive for decision-centred reporting• Build on existing strengths & skills• Establish control to enable improvement & innovation• Move to options evaluation and decision optimisation• Progressively increase decision velocity & frequency

Key Takeaway

• Smart manufacturing doesn’t result from simply implementing intelligent technologies, such as advanced data analytics.

• It happens through the intelligent deployment of intelligent technologies.

• “it’s not what you do, it’s the way that you do it”

smart manufacturing software to build world class supply chainscreating more productive, collaborative,

and intelligent ecosystems

www.valuechain.com

www.valuechain.com

DNA4.0connecting smart

factories

iQlusterconnecting smart

supply chains

T1 T1

T2 T2T2T2

T1

T2

…smart manufacturing software to build world class supply chains

A smart B2B productivity and collaboration platform connecting manufacturing supply chains & innovation clusters to drive global competitiveness

DNA4.0® freemium productivity solutions to

engage and connect multi-tier suppliers

iQluster®Supply Chain

Collaboration & Intelligence

COLLABORATION

Network Connectivity

Supply Chain Management &

Transparency

Relationship Management

connecting smart supply chainsPRODUCTIVITY

Smart Dashboards

connecting smart businesses

Smart Data Capture

Plant Sensors

Production Control Systems

Smart Workflow

INTELLIGENCE

Business Intelligence

Supply Chain & Market Intelligence

predictive analytics through machine learning

Aggregated Procurement

Benchmarking & Knowledge Sharing

Some of our 500+ Clients

Capture & consolidate market intelligence

Reliable & dynamic data maintained by supply chain Connect multi-tier suppliers

Collaboratively innovate products & technologies

Analyse supply chain risk

One consolidated B2B platform

Building Blocks for Supply Chain Collaboration

Supply Chain Risk Dashboard

Multi-tier Supply Chain Risk Visualisation

• productivity drivers• growth opportunities

• data ownership• commercial models

• supply chain engagement ‘win-win’• trust and maturity to share data

Need + Culture + Framework + Technology = Collaboration Success

• increase competitiveness• mitigate risks• new business models

• quality of data - breadth, depth & integrity• speed - streamline secure data sharing• smart dashboards

…smart manufacturing software to build world class supply chains

Unlocking Supply Chain Collaboration

Data Access Barriers

Data Quality

High

LowLow High

Company Profiles

Summary Capabilities,

Technologies & Approvals

Technologies / Services

Sought from Partners

Summary Financials

Basic Contact

Information

Environmental Risk

Assessment

Company News

Public Domain Data / Not Sensitive

Detailed Financials

Dynamic Operational

Metrics

Subtier Supply Chain Customer

Details

Tender Opportunities

Improvement Programme

Status

Dynamic Capacity,

Inventory & Order Book

Status

Highly Sensitive Data

Detailed Capabilities,

Technologies, Capacities &

Approvals

Detailed Contact

Information

Anonymous Benchmark Assessments

Future Skills Requirements

Summary Operational

Metrics

Sensitive Data

Trust & Collaboration

Collaborative Data Sharing

Maturity Curve

Companies own their data

Only share selected data with partners

Tom Dawes Chief Executive

E: tdawes@valuechain.comT: 03301 200050M: 07957 336033W: www.valuechain.com

Valuechain TechnologyInnovation CentreSci-Tech DaresburyKeckwick LaneDaresburyWarringtonWA4 4FS

Contact details

mailto:lowen@valuechain.comhttp://www.valuechain.com/

Cooperation between Business and Academia to develop an innovative solution to a problem

Luke Axel-BergProject Leader The Virtual Engineer

Dairy CustomersThe problem – a critical supply chain

Essential to prevent unscheduled machine outagePredict Catastrophic failure of the main mechanical components of the drive train

How…………………

< 36 hours 24/7

20160715 UoP LWAB 20160907Slide Number 1Dairy Customers

MTC Data & Analytics 3Slide Number 1Slide Number 2Slide Number 3Slide Number 4Slide Number 5Slide Number 6Slide Number 7Lessons Learnt - Common Pitfalls:Critical Success Factors:Key Takeaway

MTC_31102017Slide Number 1Slide Number 2Slide Number 3Slide Number 4Slide Number 5Slide Number 6Slide Number 7Slide Number 8Slide Number 9Slide Number 10Slide Number 11