industrial internet big data uk market study

Eyetoeye 2015 UK Research Report.Eyetoeye 2015 UK Research Report. Industrial Internet - making the most out gathered d ata.

Eyetoeye 2015 UK Research Report.

Table of contents

� 1-3 – Introduction

� 4 – Notes on Methodology

� 10 – Big Data Overview – Market Opportunity

� 14 – Current Status in The UK

� 19 – Potential Customers Partners & Competition

� 21 – Smart City Participants (see Appendix)

� 45 – Potential Customers Partners & Competition

� 48 – Markets & Opportunities

� 72 – Potential Customers Partners & Competition – 12 Key Verticals

� 89 – Smart Cities

� 113 – Conclusion

2


The next BIG thing.. ..is actually a trillion small things.

3


Notes on MethodologyDefining the market, companies & opportunities.


Methodology

.

� These verticals have been further defined by researching white and blue papers from leading investment banks and IT providers across the industry in the UK.

� The introduction to this report lays out the current general UK Big Data landscape, illustrated key insights in each of the leading twelve industry verticals.

� The accompanying Appendix gives granular detail on who the key players are in the market, the potential competitors, suppliers, partners and clients.

� Where possible we have also given contact details for companies to follow up directly with the key company executives and thought leaders.

5


Caveats

� Given the nascent state of the Big Data and it’s application, opinions vary as to the size and shape of the market in the UK.

� Without knowing who the key Finnish suppliers are, we have only been able to give a broad view across each market sector.

� Once these companies have been identified we can focus on their specific expertise and make further recommendations as part of a future, more focused report.

� We have provided a range of estimates cited from the worlds leading consulting and research firms that detail economic effects where available.

� Equally when looking at individual companies it is difficult to distinguish between prospective clients, competition and partners. Accordingly we have broadly identified major players in each industry that will be effected by these changes.

6


The Big Data & The Industrial Internet

� Big Data is the science of analysing, interpreting and reporting on vast sets of data from a variety of sources. The interpretation of these data is dependent on the analysis of four core characteristics these are velocity, volume, variety and veracity.

� The Industrial internet will produce vast is typically defined as the addition of software and sensors to formerly discreet passive objects and connecting them to the Internet. This will generate unprecedented quantities of data.

� As a consequence the predicted explosion of the IIoT will drive increased demand in the market for services that can deliver visualization, analysis and application of Big Data

7


Big Data Scenario Analysis

IIoT takes several years to take offSome companies adopt customisedsolutions and measure key variables accurately The IoT helps them make some key decisions ,although implementation remains costly, with no scale effect. Adoption in only a few sectors.

IIoT is a success - majorimpact on global GDPHigh levels of standardisation helpspenetration in multiple sectors, the increasing use of analytics leads to significant cost saving in multiple Industries. Cross pollination of Algorithms across sectors isa multiplier effect

IIoT takes a decade to take offSome companies adopt customisedSolutions and can more accuratelymeasure key variables, but without Improvement in cost-saving decisions.Adoption in only a few sectors becauseOf high implementation costs.

IIot takes several yearsto take offSensors are implemented in variousdevices but companies fail to turn dataFrom sensors into useful decision-making.Reporting is improved across several Sectors at a relatively low cost

Low level ofstandardisation

High level ofstandardisation

Analytics intensive / high level of intelligence

Analytics ilimited / low level of intelligence

8Figure #1


Gartner Hype Cycle 2015

9Figure #3:


Big Data in the UKBig Data & Analytics in the Industrial Internet.


What is the market opportunityfor Big Data in the UK?

� The Big Data in the UK is evolving rapidly:

� By 2017 the uptake of big data analytics amongst UK firms employing >100 people will reach 29%.

� By 2017 132,000 new jobs will have been created in the UK directly related to Big Data.

� The sector will deliver £6.8billion in benefits to the UK economy.

11Source:



� Estimates suggest that, via efficiencies, innovation and business creation, big data was worth £25 billion to UK businesses in 2011, and may reach an annual value of £41 billion by 2017.

� The Government has highlighted its potential, investing over £180 million to support big data research.

12Source:



Actual/forecast demand (vacancies per annum) for big data staff 2007–2017

13Source: e-skills UK/Experian 2012


What is the overall status of Big Data and making the most of the data in UK?

Estimated adoption of big data analytics for larger firms, 2012–2017

14Source: e-skills UK/Experian 2012



Estimated adoption of big data analytics for larger firms, 2012–2017

� However 48% of companies in France and Germany using three or more new data types compared with 20% in the UK.*

15Source:



16Source: Teradta’s Big Data Analytics Report 2014



17Source: Teradta’s Big Data Analytics Report 2014



� What is abundantly clear from the survey is that UK companies are falling behind in the race to exploit the new techniques of analysis that are now available.

� The UK also appears to be insufficiently forward-looking when it comes to the potential for data analysis. Whereas most of their German and French counterparts want to use data analytics so they can undertake new projects, the largest proportion of UK executives wants the new techniques to help with tasks they are already involved in.

18Source:


What kind of companies are using their ‘big data’ and how far along are they in the UK?

19Source: IDC on IDC European Vertical Markets Survey 2012)

European Companies' Current and Planned Adoption of Big Data by Vertical, 2012


Current customer requirements UK Firms

Data IQ identify five investment drivers:

� Gaining better customer insight 57.7%

� Improving productivity through less wastage 37%

� Make more evidence-based decisions 51.9%

� Become customer-centric 46.2%

� Improving marketing performance 51.9%

20Source:


Current customer requirements UK Firms

The opportunity is understood, however there are major challenges to overcome EY & Numbus Nimby found that:

� 32% of respondents admitted to being overwhelmed by data.

� 81% agree that data should be at the heart of decision making

� 31% have restructured their operations to do this.

21Source: EY Digital report 2015



It is possible to categorize opportunities in different areas, both supply and demand side:

� ► On the supply side, companies that generate big data

� ► On the demand side, companies that use that data to develop products and services

Both sides of this market will require the same products and services from Finnish companies.

22



Opportunities for Finnish companies:

� Big Data Consulting

� Big Data outsourcing, hosting, and as-a-service providers

� Enhanced eCommerce and Web Marketplaces

� Analytics Software (beyond customer analytics)

These industries are listed in the 12x Vertical Market Opportunities section later in this deck.

23



Big Data application for UK Companies will include

� Supply chain

� Operations

� Administration (focused on finance and accounting, human resources, legal, etc.)

� Research and development

� Information technology management

� Risk management

24



Financial services:

� Algorithmic trading

� Fraud prevention and detection in both banking and insurance

� Predictive damage assessments in the insurance industry

� Claims analytics in insurance

� Customer insights from the integration of transactional data (from CRM, credit card payments, account transactions) and unstructured social media feeds

25



Financial services continued:

� Portfolio and Risk exposure assessment

� Customer profiling, targeting, and optimization of offers for cross-selling

� Influencer analysis

� Customer center and call center efficiency

� Sentiment analysis and brand reputation

26



Financial services continued:

� Correlation of social media sentiment with stock returns to support investment decisions

� Catastrophe modeling in insurance

� Customer value management

� Underwriting and loss modeling

27



Telecoms:

� Network optimization

� Customer retention based on call data records and activity in subscribers' networks

� Customer scoring and churn mitigation

� Optimization of offers to clients for cross-sell


28



Telecoms continued:

� Fraud prevention

� Location based services using GPS data and geospatial analytics


� Bandwidth allocation based on use patterns

29



Media:

� Customer scoring

� Fraud prevention

� Churn prevention and customer retention

� Intellectual property management

30



Media continued:

� Digital asset management

� Digital content management

� Audience and marketing optimization

� Bandwidth allocation based on access patterns for video, music, and game software streams

31



Utilities/ Oil & Gas:

� Smart meters monitoring, real-time usage patterns analysis to optimize energy consumption and pricing

� Predictive analytics, distribution load forecasting and scheduling

� Sensor monitoring for condition-based and predictive maintenance

� Smart grid optimization, weather pattern and real time usage and distribution

� Operational modeling

� Distribution load forecasting and scheduling

32



Utilities/ Oil & Gas continued:

� Targeted customer offerings

� Disasters and outages management

� Compliance checks and audits

� Customer feedback and call detail record analysis

� Natural resource exploration in the oil and gas industry

� Seismic data processing

� Drilling surveillance & optimization

33



Professional services:

� Demand signaling

� Social media presence to assess competitive positioning in advertising

� Ad targeting, analysis, forecasting and optimization

� Social media listening and sentiment analysis for marketing service providers

� Campaign management and loyalty programs

34



Professional services continued:

� Crime prevention and detection for providers of security services

� Personalized pricing for travel

� IT infrastructure monitoring, predictive maintenance, and management in IT

� Security breach pattern detection and machine learning to create rules engine in IT

35



Transport:

� Logistics optimization

� Location based analytics using GPS data

� Customer analytics and loyalty marketing

� Predictive maintenance

� Capacity and pricing optimization

36



Retail/wholesale

� Customer behavior analysis from omnichannel retailing and social media feeds

� Actionable customer insight, micro-segmentation

� Loyalty and promotions analysis

� Store location and layout

� Supply chain optimization

� RFID tracking

37



Retail/wholesale continued:

� Cross-sell and up-sell at point of sale

� Markdown optimization based on actual customer buying patterns

� Market basket analysis based on demographics

� Merchandise optimization

� Fraud detection and prevention

� eCommerce fraud detection

38



Manufacturing:

� Predictive maintenance

� Process and quality analysis

� Warranty management

� Factory automation

� Automatic detection of adverse drug effects in Pharma

39



Manufacturing continued

� Sensor monitoring for the maintenance of automobile, buildings, and machinery

� Smart meters monitoring to optimize energy consumption

� Location based analytics using GPS data

� Analysis of social media comments for vehicle quality management in automotive

40



Manufacturing continued:

� Social media listening for marketing in consumer industries

� Concurrent engineering and product lifecycle management

� Design-to-value

� Crowdsourcing

41



Manufacturing continued:

� Demand forecasting and supply planning

� Sensor-data-driven operation analytics

� Digital factory for lean manufacturing

� Distribution optimization

� Quality management based on social media feeds

42



Public sector:

� Enhanced citizen/patient services

� Weapon systems and counterterrorism

� Tax analytics

� Fraud detection

43



Public sector continued:

� Cybersecurity

� Surveillance and response programs

� Health informatics, bioinformatics and pharmacogenomics

� Optical treatment assessment

� Clinical decision support systems

44


Big Data in the UKWhat kind of companies are using Big Data?



� Current adoption of Big Data technologies in telecom neared 40% in October 2012, with close to 40% of respondents planning to adopt them by 2015. So by 2016 adoption will be running at 80%.

� A similar percentage of European media companies are expected to invest in big data technologies over the next three years, with adoption rising from 8% to close to 46%.

46Source: IDC European Enterprise Software Survey.



� Overview:

� Morgan Stanley have identified twelve sectors that are likely to be the first to invest in leveraging the opportunities presented by big data.

� The following slides provide an overview of each of these sectors, details of contacts in each are given the attached appendix.

47


UtilitiesGas & Electricity Consumption.

� This sector is among the forerunners in Big Data adoption and is widespread in the oil and gas processing sector, reaching 46%, but is also significantly above average among utilities.

� The €14.8bn (£10.9bn) investment by the UK government in smart metering of gas and electricity is the biggest government investment in IoT to date.

� In addition the UK is part of the European consortium developing a smart distribution grid.

48Source:


UtilitiesWater Distribution.

� Smart water grids, like Smart Electricity grids are primarily concerned with flow management and usage metering.

� Specialist Big Data skills combined with Spatial Analytics will be required to develop this infrastructure.

49


InsuranceOverview.

� This is a highly competitive global market which is centered in London.

� There is substantial demand for Big Data and Actuarial skills to assist in the assessment and modeling of risk scenarios.

� plans for adoption are strong particularly among banks and in the midsize segment.

50


InsuranceAutomotive.

� Insurance companies in the UK offer reduced premiums to consumers prepared to have a small device attached to a vehicle that tracks time of trip, speed, driving style etc.

� In the UK Aviva http://www.aviva.co.uk have used smartphones to asses driving styles (this reduces the cost to the insurer and mitigates the risk of damaging additional expensive electronics in the event of an accident.)

� In the longer term autonomous vehicles promise to reduce accident rates and provide higher resolution data that will further assist in the calculation of risk.

51


InsuranceLife.

� As mentioned previously privacy may be a barrier to entry for Finnish companies here.

� Morgan Stanley suggest that customers may be more willing to give data from health monitoring devices following a major health scare such as a heart attack.

52


Capital GoodsOverview.

� Big Data has massive implications for industry. The ability to a to optimise performance and, reduce maintenance and extend the lifecycle of plant will deliver significant efficiencies.

� Combining these efficiencies may result in productivity improvements of 1-1.5% adding €8.9-€17.8trillion ($10-$15) trillion to global GDP over a twenty year period.

� GE estimate that Big Data could rapidly deliver a 1% reduction in fuel consumption for commercial jetliners saving the industry €1.7bn a year

� The UK has world beating aerospace business that included air craft manufacturing Airbus & Rolls Royce and satellite production and management Immarsat.

53


Capital GoodsOpportunities.

� Opportunities in this vertical for Big Data analytics and visualisation abound throughout the technology stack.

� Smart machines, new plan designed with sensors embedded or augmenting existing plant with sensors and devices.

� Communications, wireless technologies to transmit data over both short and long distance at a variety of volumes and velocities.

� Analytics and applications as discussed previously predictive analytics and programmatic responses will have a major part to play.

54


� The continued ageing of the UK population will put increasing strain on the National Health Service.

� The average value of NHS services for a retired household in the UK is £5,200 p/a.

� The potential Big Data to deliver improved efficiencies in the NHS is enormous. The Service is currently focusing on three areas of opportunity.

� Early identification

� Research

� Tailored healthcare

HealthcareOverview.

55


HealthcarePrevention & Early Identification.

� Private health providers, insurance companies, pharmacticalscompanies and the NHS will be keen to develop applcations and servies that leverage the following

� The explosion of wearable's and other health monitoring devices coupled with smart phone applications can provide clinicians with essential diagnosis tools.

� Such devices may also provide helpful ‘nudges’ such as suggesting an individual take some exercise. Or alert them to environmental factor such as air pollution that may trigger an asthma attack.

� Dedicated devices in the home may also assist the elderly and mentally ill to live more independently.

56


HealthcareResearch.

� The ability to gather more data can only accelerate and improve studies into the overall health of a population.

� Specific devices and programmes may be used to analyse whether particulate combinations of genetics, lifestyle, and environment result in predispositions or resistance to specific conditions.

� Including data from wider networks (meteorological, social, and search) will also assist in research into the prediction of epidemic and pandemic.

57


HealthcareTailored Healthcare.

� Tailored healthcare, the aggregation of real time health monitoring and the identification of trends has potential for the NHS.

� There is already steady growth in demand hardware and software that facilitate the notion of “the quantified self” and “body hacking”.

� Platforms such as Apple’s Health Kit will result in growth in these types of applications.

A peculiarity of the NHS is the ability for individual NHS Trusts to commission software over the past 5 years has seen individual NHS

Trusts develop apps to overcome management and healthcare issues. There is a market opportunity here.

58


HealthcareChallenges & Risks.

� Data Security: Minimum standards must be agreed so that an individual knows who is using their personal data, why it is being used and for whom it is being used (see insurance).

� Interoperability and standards. The NHS has a poor track record in automation and digitisation of records. Introducing additional inputs from Big Data will only make this environment more complex and challenging.

� Education and change management: Healthcare professional must work with patients to ensure they understand the benefits of these new technologies and have sufficient knowledge to respond to the data available to them.

59


RetailOverview.

� Smart phone technologies are already revolutionizing shopper behavior and major retailers are adapting Omni-Channel strategies to meet these needs.

� However it is the smart phone and not Big Data as such that is revolutionising the way retailers interact with their customers.

� The dramatic impacts will be in the automation of warehousing, stock tracking and supply chain management.

60


Retail

� The automation of warehouses in which orders are picked and packed by robots to supply individual customer orders is yet to become ubiquitous.

� This will change as the cost of RFID and other tagging technologies continue to fall.

� Tagging of individual items delivering further operational efficiencies as automated check out in supermarkets become reality such as iBeacons.

61


RetailBig Data Opportunities.

� Opportunities exist for the tracking and management of many thousands of product variant SKU’s (Stock Keeping Units) from factory to retail environment to consumer.

� Inventory management and inter-operability with supply chain will also provide opportunities for innovation.

62


LogisticsOverview.

This sector is set for a strong jump within the next two years, with nearly 35% of UK firms planning to invest in Big Data Programs.

� The impact on the global logistics industry will be profound impacting almost every process and operation involved in moving goods, raw materials and people from A to B.

� GPS and the internet have allowed for the tracking of assets and individual items as the pass through a delivery chain.

� Big Data will allow for the the better utilisation of these assets monitoring operational procedures, operator behaviors and maintenance requirements.

63Source:


Transport & Logistics

64Source: DHL


LogisticsOverview.

� GPS and the internet have allowed for the tracking of assets and individual items as the pass through a delivery chain for many years.

� This GPS data will become more dense as, individual containers and the items within them are able to transmit there whereabouts.

� Containers will become more secure as sensors are used to detect whether container has been opened.

65


LogisticsOverview.

In 2013 DHL surveyed customers across Europe and asked whether they had considered how data tracking might be exploited in terms of customer innovation and increased efficiencies:

64% No

23% Planned

14% Yes

66Source:


Factory AutomationOverview.

� In terms of adoption of Big Data the sector appears as a laggard, with some 6.2% of current adopters, However further 26.4% planning to invest in Big Data. This low figure is due to legacy infrastructure “M2M Islands” not yet interfacing with Big Data.

� Factories currently produce “islands” of M2M intelligence. Big Data will see these islands integrated facilitating greater automation. Enabling individual components in the manufacturing process become more responsive and flexible.

� Efficiencies in energy use, reduced manpower and improved safety will result in cost saving and efficiencies.

67Source:


MiningOverview.

� Better utilisation of infrastructure will result in higher production at lower operating costs. Monitoring of plant will facilitate better maintenance and energy efficiencies.

� Autonomous plant will result in lower costs of extraction. Rio Tinto in Australia already operate autonomous extractors that deliver waste rock and ore to automated trucks. Plans are afoot for these trucks to deliver ore to an automated rail link.

� As there is a limited mining industry left in the UK this is not an area we have focused further on. Europe may be a better opportunity to research. This may change with the investment in Fracking depending on future legislation.

68


Big Data in the UKWhat is the potential market accessibility for Finnish

companies in the UK?


What is the potential market accessibility for Finnish companies in the UK?

� As a European partner Finnish companies face no barriers in the UK other than potential business competitors operating in their area of specialisation.

� The UK has a skills shortage with regard to Statistics, and Big Data analysts. Accordingly many UK companies will be seeking advice and services from third parties

70


What is the potential market accessibility for Finnish companies in the UK?

� Lists of potential competitors (and suppliers and partners) are supplied in the PDFs attached to this deck.

� We have listed them by geographical region – in UK “Smart Cities” and by largest industry vertical*.

� Please note some of the potential competitors identified could also be potential partners.

71Source: *As defined by Morgan Stanley.


Potential Customers Partners & Competition

Who are the potential competitors, partners & suppliers in the UK market and what is their offering?


Who are the potential competitors, partners & suppliers in the UK market?

� Caveat: Without knowing exactly who the Finnish Companies are we are unable to differentiate between who is a potential supplier, competitor or partner.

� The following list of companies reflects the leading businesses working in Big Data Analytics and Visualisation in the UK across those three areas.

� It includes both major global companies with UK offices and SMEs with contact details where found.

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� SIX DEGREES – Six Degrees Group provides integrated managed data services linking people, places and clouds.http://www.6dg.co.uk

� BLUEFIN SOLUTIONS – Business consulting. Technology strategy. Implementation & Change. http://www.bluefinsolutions.com

� OGILVY ONE – Communications Agency. Matthew Bayfield, Head of Data Practice UK & EMEA, OgilvyOne.https://www.linkedin.com/in/matthewbayfield

� ENGINE GROUP – Communications Agency. Contact: Charles Ping, CEO, Fuel Data - Engine Group.https://www.linkedin.com/pub/charles-ping/0/4a6/a32

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� IBM –WATSONhttp://www.ibm.com/smarterplanet/us/en/ibmwatson/

� SIGFOX – Contact: LUDOVIC LE MOAN, CEO, Sigfox.https://www.linkedin.com/in/lemoan

� TELEFONICA – Telecommunications company. Contact: Simon Boyd, M2M Global Partner Manager, Telefonica.https://www.linkedin.com/profile/view?id=24690474

� VODAFONE – Telecommunications company. Contact: Cyril Deschanel, Head of M2M Sales Northern Europe, VODAFONE M2M.https://www.linkedin.com/profile/view?id=4896880

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� CISCO – IT Solutions Company. Bernd Heinrichs, Managing Director IOT (EMEAR) CISCO.https://www.linkedin.com/profile/view?id=1265685

� ORANGE – Telecommunications company. Contact: Emmanuel Routier, Vice-President M2M Center, ORANGE.https://www.linkedin.com/profile/view?id=1134528

� O2 – Telecommunications company. Contact: Simon Kaffel, Head of Information Management -O2.https://www.linkedin.com/in/simonkaffel

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� CAP GEMINI – Consulting company. Contact: Paul Gittins, Pivotal Partner Executive at Capgemini.https://www.linkedin.com/in/paulgittins

� CAPGEMINI – Consulting company. Contact:Steve Jones, Global Vice President - Big Data, CapGemini.http://www.linkedin.com/in/stevegjones

� FJORD – Digital Agency Contact: Claire Rowland, Head of Research, Fjord, is the lead author of ‘Designing Connected Products’. https://www.linkedin.com/profile/view?id=1943187

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� DEUTCHE BANK – Investment Bank. Contact: JP Rangaswami, Chief Data Officer at Deutsche Bank.https://www.linkedin.com/in/jprangaswami

� IBM – http://www-935.ibm.com/services/us/gbs/business-analytics/?lnk=mseBS-bana-usen Contact: Lauren Walker, UK Big Data & Analytics Leader, IBM UK & Ireland.https://www.linkedin.com/pub/lauren-walker/0/b21/6b6

� IBM – WATSON http://www.ibm.com/smarterplanet/us/en/ibmwatson/

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� EVRYTHNG - Lean & agile development, commercial strategy, executive leadership, marketing, end-to-end product management, cross-platform service design, UX design, systems thinking, design thinking. Contact: Anna Kuriakose, Chief Product Officer at EVRYTHNG.https://www.linkedin.com/in/annakuriakose

� APT – APT provides native, cloud-based software tools that enable large, consumer-focused businesses to seize the Big Data analytics opportunity by triangulating between business strategy, algorithmic math, and large databases to improve decisions. http://www.predictivetechnologies.com/about.aspx

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� EDITD – EDITD is the market leader in real-time analytics of pricing, assortment and deep product metrics for apparel professionals. https://editd.com

� PUSH TECHNOLOGY – Push Technology’s Diffusion software is a development software platform to remove the complexity and associated challenges of developing for scale, coping with the explosion of data across networks, delivering a rich application experience and real-time conversational interactions.http://www.pushtechnology.com/diffusion/#sthash.H2UYxFTn.dpuf

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� DATA SIFT – DataSift delivers Human Data into business intelligence tools and business processes in real-time. You can also innovate with their API to build your own apps.http://www.datasift.com

� QUBIT – Web personalization, A/B testing, audience segmentation, and digital analytics, built for the cloud. http://www.qubitproducts.com

� AMOBEE – Provide marketing intelligence and cross channel, cross device advertiser and publisher solutions. This unified data and technology platform deconstructs big data, dissects channels, discovers trends and distributes advertising. With a dedicated data team alongside cutting edge technology Amobee provides the insights, optimisation, data and targeting required to successfully execute and scale performance campaigns. http://www.amobee.com

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� TUMRA LABS – Their API allows you to make predictions about a person based on a small amount of metadata such as their name. The resulting prediction could be used to personalise the user-experience of a website, or extend the metadata available in your customer/subscriber databases.http://labs.tumra.com/doc/demographics

� MANGO SOLUTIONS – A team of statisticians, mathematicians and data scientists with cross-industry expertise. Mango provides a range of consulting options from ongoing consultative engagements to smaller one-off projects or tasks. Mango offers tailored big data . http://www.mango-solutions.com/wp/

� WE PREDICT – Global leaders in predictive analytics.http://www.wepredict.co.uk/en/

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� COGENT ANALYTICS – Cogent Analytics is part of The Collinson Group, a privately owned global organisation that uses data, customer insight and marketing expertise to the benefit of its companies, clients and their customers. http://www.cogentdataanalytics.com

� ROSSLYN ANALYTICS – Rosslyn Analytics is a leading global “data tech” company that is recognized for its new approach to helping organizations create business value from previously inaccessible data. http://www.rosslynanalytics.com/our-story/overview/

� TESSELLA – Tessella is an international analytics, software services and consulting company known for finding and delivering innovative answers to the complex business and technical challenges of some of the world’s most forward-thinking organizations. http://tessella.com

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� KANTAR – Kantar is home to some of the worlds leading research, data, and insight companies .Individually, companies such as Millward Brown, TNS, Kantar Media, Kantar Worldpanel, Added Value and The Futures Company are famous and highly respected experts in their fields. Collectively, they offer the most complete view of consumers – the way they live, shop, vote, watch and tweet – in over a hundred countries worldwide. http://www.kantar.com

� BRANDWATCH – Brandwatch is a social technology company. http://www.brandwatch.com

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� WALKBASE – Walkbase Analytics empowers retailers to make data-driven decisions, and adapt for best in-store sales performance and loyalty. http://www.walkbase.com

� KPMG / IMPERIAL COLLEGE – KPMG Centre for Advanced Business Analytics.http://www.imperial.ac.uk/business-school/research/kpmg-centre-for-advanced-business-analytics/

� METHODS – Methods Group comprises a group of companies with clear specialist offerings, their own dedicated management teams, and specialist staff. Our companies specialise in the provision of Advisory, Analytics, Digital, ERP and Professional Services. http://www.methods.co.uk

85



� INFORMATICA – Have a number of Big Data solutions: Big Data Edition Provides a safe, efficient way to integrate all types of data on Hadoop without ever having to learn Hadoop. Big Data ParserProvides pre-built parsers on Hadoop for a variety of industry standards, documents, log files, and complex file formats. Big Data Relationship Management Discovers relationships among parties and groups them to create a 360-degree view. Connectors (PowerExchange) Provides out-of-the-box, high-performance connectivity to all enterprise data, eliminating the risk and cost of hand coding. Vibe Data Stream Built on fast brokerless messaging technology that helps you manage many small pieces of incoming streaming data. https://www.informatica.com/products/big-data.html#fbid=eZeGtwIabvZ

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� MOBIUS – Mobius are an independent supply chain management consultancy. http://www.mobiusuk.co.uk

� EXPERIAN – Decision Analytics - Credit Risk and Fraud management Consulting Services and Products. http://www.experian.co.uk/decision-analytics/

� ROELTO – Cutting edge tools to help you collaborate more effectively, boost your efficiency and grow a better business. http://roelto.com

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� VIZZUALITY – From data visualization to citizen science.http://www.vizzuality.com

� APPLIED WORKS – A design and technology studio. http://appliedworks.co.uk

� DATA SCIENCE CENTRAL – Data Science Central is the industry's online resource for big data practitioners.

� From Analytics to Data Integration to Visualization, Data Science Central provides a community experience that includes a robust editorial platform, social interaction, forum-based technical support.http://www.datasciencecentral.com

88


Smart Cities.Who are the potential competitors, partners & suppliers in the

UK market by geography?


Building the Industrial IoT & Big Data

� The development of the infrastructure that will power the Industrial Internet will provide a rich environment for inward investment.

� To support this growth the British Government has initiated the Smart Cities Program . Working with local authorities, academia, and local business the Smart Cities Program will develop network infrastructure that will deliver better services for citizens such as traffic management and recycling.

� It is anticipated that the development of this infrastructure will foster innovation and growth in this field. Contracts for the development of Ultra Narrowband low powered networks have been granted to Arqiva, and their partner Sigfox. Nuel are also deploying their weightless networks providing wide area connectivity in these cities. The network in set to go live in April 2015.

90


The UK Smart Cities Program.

� Infrastructure: Why Smart Cities are the Key to Gro wth.

� The biggest inhibitor to change is the lack of connectivity. So in areas where councils are installing Sigfox ULB networks and Weightless (transmitted through the UHF end of the Spectrum) protocols, almost any object can have “always on” two-way connectivity to the internet – a bin in the middle of a park for example.

� It is the introduction of theses networks that will drive innovation and change. Therefore in terms of investment the money is likely to flow to these hubs. Accordingly it’s in these cities that clusters of innovation are most likely to emerge.

91


The Financial Commitment to Big Data by the UK Government.

� As part of an EU wide initiative the every household in the UK will use smart energy metering.

� In January 2015 trials of self driving cars began in Bristol, Greenwich, Coventry and Milton Keynes.

� In December 2013 Tech City awarded £1m in funding to 7 UK IoTstart ups.

� Favorable tax regime that incentives R&D and patent applications (Europe’s only IoT incubator, Breed Reply headquartered London – it’s parent, Frankfurt).

92Source: Department for Business, Innovation & Skills


Smart Cities Gov. Funding

� £95m (€128m) Smart Cities funded by The Research Council.

� £50m (€67m) over 5 years to fund the Future Cities Catapult Center established by the Technology Strategy Board, London.

� £33m (€44m) Future Cities Demonstrator

93Source: Department for Business, Innovation & Skills


Smart City Participants

� Birmingham

� Bristol

� Edinburgh

� Glasgow

� Liverpool

� London (Greenwich)

� Manchester

� Milton Keynes

� Sheffield

94


Birmingham

Birmingham has an aspiration of becoming a smart, connected city and has ambitions to deliver a 60% reduction in carbon emission by 2026.

Digital Birmingham, the City’s strategic digital lead is developing a roadmap and action a plan, working in partnership and collaboration with leading community experts, universities, SMES, and several major businesses including, CISCO, ATOS, Carillion, TATA, AMEY and IBM, developing the key strands of a smart city.

95


Birmingham

� Strengths: High-performance automotive, software, enterprise.

� Key players: Oxygen Accelerator, Entrepreneurs for the Future.

� Tech firms: Redbull Racing, McLaren F1, Shell Global Solutions UK.

96


Bristol

Bristol is fast becoming the UK’s most creative, smart, green and connected city. Being the only city in the UK to win funding from government to be both a Super Connected City and a Future City Demonstrator is testament to this.

Furthermore in 2015 Bristol will be European Green Capital, staging an inspiring programme of events centered around the idea of Bristol as a ‘Laboratory for Change’.

Smart technologies can help deliver a cleaner environment, a higher quality of life and a vibrant economy. Bristol aims to be in the top 20 European cities by 2020 and has made a commitment to create a world-class and inclusive green-digital economy.

97


Bristol

� Strengths: Semiconductors, Robotics, Web.

� Key players: SetSquared Business Accelerator, Silicon Southwest, XMOS.

� Tech firms: XMOS, MDb, Future Publishing, IPL, HP Labs.

98


Edinburgh

The City of Edinburgh has a customer service strategy that aims to design and deliver user centric services. In accordance with this strategy the municipality is committed to the co-creation of a series of Industrial IoT services in conjunction with it’s citizens

“The Business Process Change pilot will incorporate both lean thinking and customer journey mapping approaches into a strategy to improve our internal business processes. The approach is being trialed in the Council’s Revenues and Benefits Division.”

The procurement and development of a new Internet presence for the City of Edinburgh Council provides the capability to deliver a more useful, accessible web services with up to date, reliable and accurate information.

99


Edinburgh

� Strengths: High-technology manufacturing, ICT, AI.

� Key players: Technopole, Launch.ed, Startup Café.

� Tech firms: Amazon, Cisco, Oracle, Skyscanner, Freescale.

100


Glasgow

Glasgow has secured £24 million funding through the Technology Strategy Board to develop a future cities demonstrator.

The city will demonstrate how providing new integrated services across health, transport, energy and public safety can improve the local economy and increase the quality of life of Glasgow’s citizens.

The city OpenData project recently launched the city dashboard which can be seen at: http://dashboard.glasgow.gov.uk

101


Glasgow

� Strengths: Academic, Innovative local authority, Proximity to Silicon Glen

� Key players: Glasgow University, University of Strathclyde, Open Glasgow, Digital Enterprise Glasgow

� Tech firms: Kiltr, Dizeo,

102


Liverpool

Liverpool aims to become the first Smart City in the UK creating ongoing monitoring of resource deployment, insightful visualizations and constant feedback loops to develop a highly efficient, interactive and engaging city stimulating behavioral change.

The city will focus on six main areas for improvement identify smart cities, that of: economy; mobility; environment; people; living and governance.

Each of these areas include a wide range of needs that must be met in order to help communities grow and reduce strain on resources.

103


Liverpool

� Strengths: BioHealth, Gaming, Advertising.

� Key players: Liverpool Vision, ACME.

� Tech firms: Reputation 24/7, Hammerkit/CloudStore.

104


London (Greenwich)

The ‘smart city’ agenda for London is gathering momentum. The drivers are clear, fuelled by increasing constraints on urban resources, such as transport, energy and healthcare and London's desire to provide attractive and enjoyable places to live and work. London also has to plan for population growth and avoid peak-load and congestion on its infrastructure.

The Mayor’s view is clear. To support London’s future growth, we must look to what new approaches innovation in digital technology can bring. The Smart London Plan is for Londoners, businesses, researchers, investors and everyone who has an interest in the capital’s future.

105


London

� We have a dedicated Appendix to this document detailing potential competitors, partners and suppliers as they are too numerous to list here.

� A list of identified companies and contacts for potential partnerships, suppliers and competitors in Big Data are listed here.

106


Manchester

Greater Manchester is working to take advantage in development on the use of data, such as mobile phone data, vehicle systems, satellite data and camera data.

They are developing an approach to bring all of this data together to create an oversight of the city.

This will then used for things such as seeing where people flows might have an impact on the transport system; resulting in the creation of more efficient and reliable routes. Enabling selective priority to buses on certain routes for example.

107


Manchester

� Strengths: Media, life sciences, software.

� Key players: Media City, Sharp Project, MIDAS inward investment agency, TechHub.

� Tech firms: Satellite Information Services, Deltra/Tre Media, Laterooms.

108


Milton Keynes

Milton Keynes MK:Smart is funded with an £8 million grant from the Higher Education Funding Council for England’s Catalyst Fund, match-funded by partners in a consortium led by The Open University. The investment aims to demonstrate how universities can apply their expertise to support cities’ economic growth.

The MK:Smart consortium brings together The Open University, the University of Bedfordshire, Cambridge University, British Telecom, Dell, E.ON, Anglian Water, HR Wallingford, the Technology Strategy Board’s Satellite Applications Catapult Centre, Milton Keynes Council, Community Action MK, Graymatter, Fronesys and Playground Energy.

109


Milton Keynes

� Strengths: Highly educated population, Location, advanced infrastructure.

� Key Players The Open University, Network Rail.

� Tech Firms: AirWatch, Tech Mahindra, T-Systems, Siemens, Dimension Data.

110


Sheffield

Sheffield City Council has committed to contribute all data that can be made available in relation to the City and its circa 600,000 citizens.The consortium consists of the University of Sheffield’s Sheffield Urban Institute (SUI) and Sheffield City Council, and is supported by a broad range of industrial partners including Siemens, Arup and Amey.

This group together with the Open Data Community in Sheffield are developing a Smart City Plan for the city which responds to the broader definitions as set out in the Strategic Implementation Plan rather than the typically narrow Smart City definition. Through this partnership we are exploring how technology can be leveraged to integrated ICT, energy and mobility within the city.

111


Sheffield

� Strengths: Media/creative tech, advanced manufacturing.

� Key players: Sheffield Digital Campus, Made in Sheffield.

� Tech firms: WAN Disco, Learndirect.

112

Eyetoeye 2015 UK Research Report. 113Source: IBM Data November 2014

Big Data Value ChainThe Big Data Eco System and Value Chain.


Big Data Value Chain

114Source: IBM Data November 2014

� The key to understanding the key steps in the value chain is to take a focused look at each stage of the data lifecycle.

� Discover: In today’s digitized world, there are many sources of data that help solve business problems that are both internal and external to organizations. Data sources need to be located and evaluated for cost, coverage, and quality.

� Ingest: The ingest pipeline is fundamental to enabling the reliable operation of entire data platforms. There are diverse file formats and network connections to consider, as well as considerations around frequency and volume.




� Process: Many applications are well served by processing data immediately following the ingest stage, to transform the data into a format that facilitates its reuse or to take immediate action based on incoming events.

� Persist: Cost-effective distributed storage offers many options for persisting data. The choice of format or database technology is often influenced by the nature of other stages in the value chain, especially analysis.

� Integrate: Much of the value in big data can be found from combining a variety of data sources to find new insights. Integration is a nontrivial but valuable step in which this combination process occurs.




� Analyze: The star of the big data show—analysis—depends critically on every other step in the value chain—the so-called data janitorial work that makes up 80 percent of data science. New insights and actions are derived from data, enabled by an ever-growing and nuanced choice of tools and platforms.

� Expose: The results of analytics and data that are exposed to the organization in a way that makes them useful for value creation represents the final step in deriving value from data.



117Source: E&Y Insights on risk and compliance April 2014



118Source: E&Y Insights on risk and compliance April 2014


The Big Data Eco System

119Source: Data Economy Understanding Big Data 2014


Conclusion

� 32% of respondents admitted to being overwhelmed by data. This would indicate there is an opportunity for Finnish companies to collaborate and win contracts in many UK cities, particularly “Smart Cities” and in particular London.

� There are a wide range of UK companies competing in Big Data Analytics and Visualisation but many are open to collaboration and new insights from 3rd parties.

� Big Data Analytics and Visualisation is a growing market well supported by the UK Government which will stimulate more growth and opportunity in 2015 and beyond.

120


Conclusion

� 51.9% of current customer requirements demand they need to make make more evidence-based decisions.

� Big Data technology adoption will be running at 80% by 2016.

� The current UK rate of adoption is running at 38% opposed to Germany & France at 58% indicating key growth potential.

� The Smart Cities indicated here are well funded by the UK government so budget is available.

� There are no commercial restrictions on Finnish companies working in the UK.

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