data culture keynote and exec track birm dec 8th

Re-inventing Productivity

DATA CULTURE

Keynote + Exec TrackBirmingham8th December 2015

UK Business Lead for BI & AnalyticsJon Woodward : Connect & Follow

@JLWoodwardwww.linkedin.com/in/jonathanwoodward#DataCulture

#DataCulture

For those that dont know me, I am the business lead for Microsoft covering Business Intelligence and Advanced Analytics.

This covers a whole host of technologies from SQL Server to PowerBI to Azure Machine Learning and a list of other exciting data technologies.

Follow and connect to me via Twitter and Linkedin as you can see here I post all my decks and thoughts that way..

So lets start with a question2

Data CultureIndustryImmersionsCommunity OtherSummitsEventsEvents Sept, London22nd Sept Data Culture Summit Business23rd Sept Data Culture Summit - Technical22nd Sept Data Culture Dinner - ExecutivesDec, Birmingham8th Dec Data Culture Summit, Business9th Dec Data Culture Summit, Technical8th Dec Data Culture Dinner, Executive March, London8th Mar Data Culture Summit, Business9th Mar Data Culture Summit, Technical8th Mar Data Culture Dinner, Executive May, London9th May Data Culture Summit, Business10th May Data Culture Summit, Technical9th May Data Culture Dinner, Executive Future Decoded, Nov 10-11th, LondonData Culture Trackshttps://futuredecoded.microsoft.com/

10th Nov, Futures Data Platform Roundtable10th Nov, Dashboard in an Hour10th Nov, Data Culture Panel10th Nov, Data Culture DinnerGartner BI Summit , Feb 29th-1st March, Londonhttp://www.gartner.com/events/emea/business-intelligence29th Feb, Data Culture Dinner6th October, ReadingDashboard in a Day

27th October, ReadingPlatform Modernisation20th January, LondonDashboard in a Day Platform Modernisation11th February, ReadingDashboard in a Day Platform Modernisation21st March, LondonDashboard in a Day Platform Modernisation21st April, EdinburghDashboard in a Day Platform Modernisation11th May, ReadingDashboard in a Day Platform Modernisation8th June, LondonDashboard in a Day Platform Modernisation10/11th SeptemberCambridge SQL Saturdayhttp://www.sqlsaturday.com/411/eventhome.aspx

October SQL Relayhttp://www.sqlrelay.co.uk/

7th Nottingham8th London12th Reading13th Bristol14th Cardiff15th Birmingham28th Nov, LondonData Culture PowerBI Editionhttp://www.eventbrite.com/e/data-culture-day-london-power-bi-edition-tickets-18258788528

5th Nov, LondonIRM Data Science Trackhttp://www.irmuk.co.uk/edbi2015/postworkshops.cfm

UK DATA CULTURE EVENTS 26th Nov, LondonDashboard in a Day Platform Modernisation

#DataCulture

Cloud RoadShow, Feb 29th-1st March, LondonSQLSaturday, Exeter 11/12 March

SQLBits, May

SQL Saturday, Edinburgh 10/11 June

Enterprise and Partner Group 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/2015 10:30 AM3

Data Culture for MarketingData Culture Summits Sept/Dec/Mar/MayData Culture for IT ExecutivesData Platform ModernisationData Culture for FinanceIoT TrackMachine Learning and Analytics TrackVisualisation and Data Discovery TrackBig Data and Data Management TrackDay 1 - Business DayDay 2 - Technical DayDashboard in a Day

#DataCulture





Data Culture09.00- 09.30Dave Coplin Chief Envisioning Officer, Microsoft09.30 10.00Mike Bugembe Chief Data Officer, JustGivingBreak10.15 12.30Morning TracksLunch13.30 16.30Dashboard in a Day ContinuesClose

#DataCulture

Re-inventinG ProductivityDave CoplinChief Envisioning Officer@dcoplin

Empowering the Future of Work

Boldly Go

Why work isnt working and what you can do about it.

Previously

8

The Problem of Productivity

Working Like Victorians

10

How to outsmart the digital delugeOut Now.

11

the Digital Deluge

Mobile Disruption

13

And Yet?

14

Work Harder, Not Smarter

15

Breaking the Digital Barrier

Unlocking The data Dividend

2014 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/201517

MAKING THE INVISIBLE VISIBLE

18

Taking the Systemic View

Which is greener?

Here be MonstersSource: Henderson, Bobby (2005). "Open Letter To Kansas School Board". Venganza.org. Archived from the original on 2007-04-07.

Source: Henderson, Bobby (2005). "Open Letter To Kansas School Board". Venganza.org. Archived from the original on 2007-04-07.

20

Predicting The future

Technologys Copernican Shift

22

Ambient Intelligence

23

Situational Interaction

24

Situational Interaction

25

The Rise of the machines

The Power of Machine Learning

27

Patterns and Deep Learning

"Aoccdrnig to a rseecharer at Cmabrigde Uinervtisy, it deosn't mttaer in waht oredr the ltteers in a wrod are, the olny iprmoatnt tihng is taht the frist and lsat ltteers be at the rghit pclae. The rset can be a toatl mses and you can sitll raed it wouthit porbelm. Tihs is bcuseae the huamn mnid deos not raed ervey lteter by istlef, but the wrod as a wlohe."

Moving forward

29

Create A Data Culture

Guilt by (Algorithmic) Association?The algorithm made me do it

31

A question of Trust

32

Look for Outcomes not process

Focusing on the ultimate outcomes, not the individual processes. 33

Transformative Thinking

Image copyright: CBS Studios Inc.

Remember, Computers are useless

40

.40

This is what I shared with you last year/now progress etc41

No good cause should go unfunded

b

165Countries25mUsers$3bnRaised10Currencies

#

This is what has genereated that 3 billion donations..You can see there is a fundraising story, an event that they are doing, donations from a friends.so much information44

The Predictability Discovery and Engagement

45

A recommendation engine to suggest content

Personalisation

Worked really well this is a great example of the interesting things that people would do for charity but would you do this for any cause or would it make a difference if you were really passionate about your cause! We also saw that we could get a huge uplift if we also made that easier for you to do.47

Traditional methods dont work in this space

48

Lots of research and working with academics

49

Its about social relationships and networks

All of this stuff flows through networks50

The answer was staring us in the face every day

51

We live in a connected world

We live in a connected world, and these networks are appearing everywhere.FacebookLinked in TwitterSkypePhone bookemail52

Even the 15 year old fundraising page, one person decides to do something for a cause that she cares about 53

People supporting others

Then shares with their friends who come and support. 24 million people have used JustGiving so there is a good chance that their friends have given to someone else54

It looks something like this it is a network a connection of people connected to people. When you zoom out to see how the 26 million people on our platform are connected to each other you end up with the givegrapgh a graph is a complex system of nodes and edges.55

87millionnodes

420millionrelationships

We can run calculations over these networks

This means we have can now use big data To do graph calculationsWe call these betweeness and centrality calculations They tell us strengths of relationshipsNature of relationshipsInfluencers,Getting the word around quicklyImportant nodes

The givegraph is important allows us to understand how generocity flows through the network. It allows us to work out relative strength of what you care about. Now without big data, some of these calculations were impossible in the past, if you i59

So this is what we planned to build14 years of giving behaviour, online, web traffic, academic research EngagingMachine LearningSocialGraph TheoryPersonal

An engaging product the feed, with notifications like may engaging products out there supported by machine learning for personal content to appear on that, and the graph to bring social connections into the picture

To achieve our vision we built an intelligent machine that Give

Care about

Engaging content

We built a machine that could work out how you give, (its not about money, some like to give time, energy), the algorithms can work out what you care about at that time, remember what you care about is not static, it changes with circumstances and associations but most importantly, it not only knows how to keep you engaged, it has been trained to interact and engage with you. All of this makes up the give graph, a machine level understanding of the world of giving and how to operate in it.

Which you can see here. This is the product that uses and consumes all of the intelligence that is presented. Changing giving from a transactional action to a more engaging social action, enabling people to give, removing the barriers that we have created for giving. As I finish of just now, I really cannot emphasise enough how impactful this is going to be. And one of the main reasons why we are in a position to do this is our vast amounts of data collated over the years and because of the ease of use and flexibility of the tools available on the Azure platform that really enabled us to focus on the task of ensuring that every great cause gets the funding that it requires.Thank you.

Building a real-time graph is hard!

Our team is made up of scientists and engineers and we needed to address the problem fast without access to a large operations teams that specialize in managing a Hadoop infrastructure. With Azure we really enjoyed the benefits of the platform as a service. It means our scientists and engineers can focus on solving the challenges that I outlined earlier.

SecureFlexibilityAlways up always onPlatform as a service

And we selected Microsoft Azure. This offered us the key features that ensures that we didnt have to compromise on security, development language and robustness.

- its a platform as a service (Paas) - allows us to focus on our applications whilst Azure manages the rest, this signifiicantly reduces complexity allows us to move so much faster- flexibility - allowing us to use a range of languages and operating systems to enable us to get whatever we need to work- its always up, always on- designed for security - unmatched experience running trusted online services. 65

HDInsightAzure Cloud ServicesAzure Service BusAzure Table StorageF#Azure websites(with Auto scaling & Storage Queues)

More specifically we used HDInsight for running Hadoop jobs to build the giving graph.Azure Cloud Services (with Azure Autoscaling & Azure Storage Queues) to upload the output from big data analysis into Azure Table Storage where the results are persisted.Azure Service Bus to manage delivery of event messages & updates to the graph.F# to implement the algorithm to calculate the Target Value. Azure websites (with Azure Autoscaling) to host the Api that drives the product.

There was some skeptism in 66

Microsoft AzureSQL Database

Importer Service

Service Bus

Blob Storage

Website

Redis Cache

Table Storage

Website

HDInsight

F# Mailbox

These are the components that we used. To make these algorithms real we use a combination of batch and real time processing, the batch is the back bone of this process and at the center of this is HdInsight.

Our TS data is extracted from our on premise SQL servers and uploaded to Azure blob storage and the then we use map reduce to build the graph and do the calculations, Most of our existing Jobs are Java Map reduce but we are actively looking at Spark for the machine learning, this will allow us to use python and scala. This is kicked off using a job schedule and the orchestration service which spin up a cluster and schedules the map reduce jobs. Once the jobs are finished the cluster is destroyed and the data is imported to table storage ready for consumption.

For Real time, you can see from the diagram that we combine F# mailboxes with Azure service bus. All events that take place on the platform are streamed through or on to the service bus. Allowing us to give the user an interactive experience.

The results are merged with the batch results in table storageTo present the data we use Azure websites to host our APIs again this is where the platform as a service enables us to have a managed service and elastic scalability out of the box. We run Azure distributed cache to allow us to present the data that is persisted in Azure storage and simultaneously manage any spikes in traffic.

All of this manifests its self on the product as a feed.

No good cause should go unfunded

Ensure that every great cause gets the funding that it deserves. Our vision now this is pretty challenging, there are billions of people in the world who have the ability to give to a cause that they care about and if they all did we could eradicate poverty, we could put cancer out of business. But why are they not giving and how is technology going to help solve that problem. It turns out that a few years a go we found that we could address this problem with machine learning and big data. We had to use our data to address the following challenges

[email protected]

[email protected]

@mikeBugembe

https://uk.linkedin.com/in/mikebugembe

Our team is made up of scientists and engineers and we needed to address the problem fast without access to a large operations teams that specialize in managing a Hadoop infrastructure. With Azure we really enjoyed the benefits of the platform as a service. It means our scientists and engineers can focus on solving the challenges that I outlined earlier.

Jon Woodward Business Lead BI & Analytics, MSFTGary Richardson Director of Data Engineering, KPMGData Culture for Executives

#DataCulture

Microsoft Data Culture - UK

EPG | MICROSOFT CONFIDENTIAL

7112/9/2015 10:30 AM 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.Enterprise and Partner Group

Data Culture for Execs

10.15 10.30Intro + Welcome10.30 11.00Benefits of a Data Culture11.00 11.45The Future is Data Driven11.45 12.15Enabling Data Culture in your Organisation12.15 12.30Next StepsLunch

#DataCulture

UK Business Lead for BI & AnalyticsJon Woodward : Connect & Follow

@JLWoodwardwww.linkedin.com/in/jonathanwoodward#DataCulture

#DataCulture





Director of Data Engineering, KPMGGary Richardson: Connect & Follow

@GaryDatahttps://uk.linkedin.com/in/richardsongary

#DataCulture





Introductions

Jon Woodward Business Lead BI & Analytics, MSFTBenefits of Data Culture

#DataCulture




What differentiates todays thriving organizations?Data.

#DataCulture

Key Points:Data is currency in the twenty-first centuryCompanies that take advantage of data opportunities have the potential to outperform those that do notTalk Track:What asset is most leveraged by todays thriving companies? Data.Data will be a key differentiator for businesses today and in the future. You constantly hear in the news about new ways in which businesses are using data as a competitive advantage.You hear how people in those organizations are making fast, informed decisions like never before possible. So the question is, what are these thriving companies doing with data? System Center Marketing 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/201577

Big data200BBy 2020, IoT will include 200B units, creating large quantities of data & generating >$300B in revenue for IoT suppliersDevices>50% More than half of information workers across 17 countries report using 3+ devices for workApps25%one quarter of external app implementation spending will be on mobility, cloud, analytics & social, by 2016Cloud~50%nearly half of total IT spend will be cloud-related by 2020Devices: Info Workers Will Erase Boundary Between enterprise and Consumer Technologies. Forrester Research. Aug. 30, 2012Apps: Gartner: Predicts 2013: Business Impact of Technology Drives the Futures Application Services Market. Nov. 21, 2012Big data: Paraphrased from The Impact of the Internet of Things on Data Centers. Gartner Research, Feb. 27, 2014 Cloud: Prepare For 2020: Transform Your IT Infrastructure And Operations Practice. Forrester Research. Oct. 24, 2012Industry transformation accelerating

#DataCulture

75 Years to 100M users

2.4 years

But Lets start by looking at the acceleration we are seeing in industry and many of you will be experiencing this first handWe live in a world today, where many countries have more mobile devices than humansWe live in a world where we have created more data in the last 2 year than in the history of humankind. We are creating 2.5 quintillion bytes of data per day.We live in a world where 200Bn devices and sensors are being connected to the internet, accelerating the data deluge we already live inWe live in hybrid mobile first cloud first world where innovation is accelerating. , where the telephone took 75 years to get to 100 million users and Instagram took 2.4 years78

DataDriving the Experience

#DataCulture

And it this data with added intelligence that is driving the experience we are having with hundreds of millions of users around the world.From skype translate, where you can select the language you want to speak in, and in real time your speech will be translated To Cortana which enables you to ask a question, to Delve which understands and surfaces interesting information directly to you and PowerBI that allows you to ask questions of your data and without developing anything it will display graphs automatically based on your question.79

What do these companies have in common?

No Cars No Content No Real Estate no InventoryBusiness model based on Data Culture

#DataCulture

And it is these data companies that are defining this new breed of organisationFrom uber that has no carsFrom facebook that has no content of its ownTo Airbnb that has no real estate on its books To Alibaba, which has no inventory.

These organisations are multi-billion $ organisations due to one thing, their business model is based on a data culture.Enterprise and Partner Group 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/2015 10:30 AM80

Entering a New Data World Orderwww.slideshare.net/jonathanwoodward1

AlgorithmsThingsIntelligence

#DataCulture

And it is with these three areas that we enter a new data world order.

In the age of algorithms, very much where we are today, organisations are starting to differentiate based on outputs from algorithms. The best recommendation, the best search.

And now we are also starting to see with the age of things, where everything is fully connected, brand new business models, significant efficiencies and also we need to cope with the deluge of data that this brings.

And in the age of intelligence where we are imbueing differeing levels of machine intelligence into business processes, applications and augment humans

Taking a look at your business through the lens of these three aspects and looking at how you can change your business process, create a new business model, spin out a new business based on the data you traditionally capture, is the future..81

Age of the AlgorithmAlgorithms

#DataCulturePredicating next best outcomeFinding patternsUncovering AnomaliesYesterday






Age of ThingsAlgorithmsThings

#DataCulture

25 billion Connected things by 2020Gartner$1.7 trillionMarket for IoT by 2020 IDCToday






Age of ThingsAlgorithmsThings

#DataCulture

Create new business modelsProvide better service and improve customer experiencesRespond to changes in the market fasterImprove product availability and usageOpen new revenue streams






Age of IntelligenceAlgorithmsIntelligence

#DataCulture

Credit : Tim Bostrum, Predictions Ray Kurzweil

2010- Supercomputer to emulate human intelligence2020 Human intelligence computing available for $10002029 Pass Turing Test2030 non-biological computation will surpass capacity of all living human intelligence2045 SingularityTomorrow






Age of IntelligenceAlgorithmsIntelligence

#DataCulture

Creating Intelligent ApplicationsCreating more personal experiencesConnecting Algorithms and Things






New Data World Order

Gartner predicts that by 2017, 20% of all market leaders will lose their number one position to a company founded after the year 2000 because of a lack of data business advantage

#DataCulture

Gartner predicts tat by 2017, 20% of all market leaders will lose their position to a company founded after the year 2000And if we take a look at the company index the company lifespan is getting shorter and shorter with a new number of new entrants into the market not even existing today.Enterprise and Partner Group 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/2015 10:30 AM87

Be more ProductiveData Driven organisations are 5% more productive, MIT - Bynjolfssson 2011

5% more productive =

Data dividendMore peopleNew analyticsDiverse dataUK Economy - Data DividendCapture a 53Bn data dividend from data investments by 2017Speed

@Source: IDC & Microsoft, April 2014

Employee productivityOperations improvementProduct innovationsCustomer-facing projects

#DataCulture

And if we look at the research.

IDC and Microsoft undertook research across a large set of organisations to understand the differential between data driven organisations and lets call them traditional organisations.

The research found that organisations that gather diverse data, apply new analytics, make that available to more people and do that at speed, unlock what they termed the Data Dividend. Essentially across areas such as employee productivity, operations and customer facing projects, unlocking the data dividend can have a top and bottom line affect. The research suggests that there is circa 53B available for organisations to go after by unlocking this dividend, making themselves more productive, engaging better with their customers and employees and driving new innovation.

How do we tap into this we start with having a modern data platform and apply a data culture to our organization.Data Insights Conversation 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/201589

#DataCultureHow will YOU differentiate YOUR organization?

Key Points:Data is currency in the twenty-first centuryCompanies that take advantage of data opportunities have the potential to outperform those that do notTalk Track:What asset is most leveraged by todays thriving companies? Data.Data will be a key differentiator for businesses today and in the future. You constantly hear in the news about new ways in which businesses are using data as a competitive advantage.You hear how people in those organizations are making fast, informed decisions like never before possible. So the question is, what are these thriving companies doing with data? System Center Marketing 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/201590

Gary Richardson Director of Data Engineering, KPMGThe Future is Data Driven

#DataCulture




Data Culture : Disrupting with dataGary Richardson, UK Head of Data EngineeringKPMG

DATA SCIENCE& ENGINEERINGLEARN.PREDICT.INDUSTRIALISE

# 2015 KPMG LLP, a UK limited liability partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (KPMG International), a Swiss entity. All rights reserved.Disruptor or disrupted?

2015 KPMG LLP, a UK limited liability partnership, is a subsidiary of KPMG Europe LLP and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative ("KPMG International"), a Swiss entity. All rights reserved.Key concepts that are driving data innovation

Schema on readOpen APIsCloud ScaleModel Portability

Automation

2015 KPMG LLP, a UK limited liability partnership, is a subsidiary of KPMG Europe LLP and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative ("KPMG International"), a Swiss entity. All rights reserved.

94

Increasing the return from data value chain

DataProcessingDataCollectionDataSciencePredictAction

Value CreationValue ProtectionCollect everythingProcess on demandLook for opportunitiesMaking Predictions

2015 KPMG LLP, a UK limited liability partnership, is a subsidiary of KPMG Europe LLP and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative ("KPMG International"), a Swiss entity. All rights reserved.Discover patterns in data streaming automatically from remote sensors and machinesResearch logs to diagnose process failures and prevent security breachesUnderstand how your customers feel about your brand and products right nowAnalyze location-based data to manage operations where they occurUnderstand patterns in files across millions of web pages, emails, and documents

Geographic

Unstructured

Server Logs

Sentiment

SensorsPlatforms

New Data types

Ever increasing volume, variety and velocity of dataLeveraging new types of dataOnly by leveraging new types of data both internal and external can real value of analytics be unlocked

2015 KPMG LLP, a UK limited liability partnership, is a subsidiary of KPMG Europe LLP and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative ("KPMG International"), a Swiss entity. All rights reserved.Traditional Organisations = Legacy, change is needed

Schema on readOpen APIsCloudModel Portability

Automation

Streaming Data

Getting the data inApplying the machine


97

High level data science workflow feature selection and scoring

Product Search

Observable EventProduct RecommendationFeature SelectionProcess RecommendationTake Action

Machine Learning PlatformScore Features using Algorithms for the Event


Use in ProductionScore in real-time the decision for which the model was trainedPrimary data manipulation and management

Model build pipeline process

Observable set of data that needed to be passed down the pipelineSelect FeatureFeature Transformation

Train the modelTrain, validate, adjust, relearn, set curriculum of the model

Publish APIPublish the API to enable model to be utilised

Monitor and EvaluateContinuous monitoring of model performanceRe-train model

2015 KPMG LLP, a UK limited liability partnership, is a subsidiary of KPMG Europe LLP and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative ("KPMG International"), a Swiss entity. All rights reserved.GLMK-MeansNeuralNetworksPlatforms

Algorithms

SVM

NaveBayes

Recommenders

Cox PropHazards

RandomForests

PCACommon algorithms

Training Data


100

Where are the opportunities for you?Data ScienceInsight Backed ProductsData Marketplaces

Big ComputePlatforms


101

Being creative with data even with the humble help desk call

Platforms

ContagionRisk

9.1 million service calls processed from start to finish in less than 4 hours130 billion connected events identifying likely to cause of ContagionGraph AnalysisUnstructured Data Processing

2015 KPMG LLP, a UK limited liability partnership, is a subsidiary of KPMG Europe LLP and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative ("KPMG International"), a Swiss entity. All rights reserved.Increasing Data Culture = Increases the Data Dividend

2015 KPMG LLP, a UK limited liability partnership, is a subsidiary of KPMG Europe LLP and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative ("KPMG International"), a Swiss entity. All rights reserved.The information contained herein is of a general nature and is not intended to address the circumstances of any particular individual or entity. Although we endeavour to provide accurate and timely information, there can be no guarantee that such information is accurate as of the date it is received or that it will continue to be accurate in the future. No one should act on such information without appropriate professional advice after a thorough examination of the particular situation.Gary Richardson Director, UK Head of Data engineeringKPMG in the UK T: +44 20 7311 4019E: [email protected]: @garydata


Jon Woodward Business Lead BI & Analytics, MSFTEnabling Data Culture

#DataCulture




Driving a Data CultureLeadershipDecision MakingOrganisationData

#DataCulture

We have seen the benefits through the data dividendWe have seen the power of a modern data platformWe have seen the future of analytics and data scienceBut how, practically do we drive a Data culture

As we look at all the research and also how we have learnt on the MSFT journey towards a data culture, I have called out 4 areas of focus, which cover Leadership, organisarion, decision making and data. The aim of this section is to discuss how we make this culturally work inside our organisations; and please contribute where you have seen what has worked.Enterprise and Partner Group 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/2015 10:30 AM106


#DataCultureLead from the top Put someone in control (CIO, CDO, CAO)Emphasise data quality and governance Treat data the same as moneyCulture to collaborate, open, inclusive

The research suggests, along with almost all other organisational and cultural change, it needs to be lead from the top.As the number one successful strategy, this is probably also one of the hardest, as in many cases the top table dont fully understand dataWhich leads onto the next pointEnterprise and Partner Group 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/2015 10:30 AM107



We need to put someone in control of the data and in larger organisations you may have different viewpoints/ownership.From operational data control to data exploitationEnterprise and Partner Group 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/2015 10:30 AM108



A key aspect to focus on to get buy in is around data quality and governance.How do you ensure a set of managed data sets that decisions are taken on. At managed data set creations (i.e. sales, pipeline) are controlled and published on the required frequency. There is strong goverance around the data and when we come to monthly and half year business review, the data pack, which is significant is shared to all required from a single source.Enterprise and Partner Group 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/2015 10:30 AM109



Many organisations are starting to think about data as money, and actually individual differentiated algorithms as key IP. We see many organisations valued at significant multiples based on their collection, use and exploitation of data. The future of having a balance sheet item around data is very near.Enterprise and Partner Group 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/2015 10:30 AM110



Data Culture is only valuable if you get it out to as many people as possible. Do not hold data to restricted sets of people, but carefully think about who should get to see the datasets. Enabling collaborate decision making based on data can only be made when everyone in the decision loop has that data..Enterprise and Partner Group 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/2015 10:30 AM111


#DataCultureRefine structure and rolesEducate entire organisationBe transparentReinforce data driven behavioursBuild the use into every aspect

Look to were you can refine and create roles that manage, disseminate and oversee the dataEnterprise and Partner Group 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/2015 10:30 AM112



Look to educate the entire organisation in the value of data driven thinking, from the use of dashboarding tools for the wider population to specific forecasting/analytics for the data analysts/scientists within your organisations.Enterprise and Partner Group 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/2015 10:30 AM113



Be transparent with the use of the data. Ensure people know where it came from and what decisions will be taken off the back of the data.Enterprise and Partner Group 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/2015 10:30 AM114



Start every question with asking for the data to back up the recommendation or support the argument. If no data driven thinking has taken place, send them back to the drawing board to collect and analyse the data.Enterprise and Partner Group 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/2015 10:30 AM115



Ensure that you look for all opportunities to leverage data and build it into your thinking.Enterprise and Partner Group 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/2015 10:30 AM116


#DataCultureMetrics, scorecard, leading indicatorsReal-time dashboardsStart with the dataReview & question to drive requirement for new dataLook for areas to automate

One area that we have found that drives wider data culture is to get everyone onto using a company scorecard.Everyone In the UK org is very aware of the UK scorecard, which products are doing well, which needs further supportWe also collect data that support leading indicators, i.e data that determines later success. i.e. how many opportunities does a seller haveWe have determined the threshold for each of these indicators We also then benchmark ourselves against the similar sized subsidiaries to understand and learn from the data on what is going well and where to improveEnterprise and Partner Group 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/2015 10:30 AM117



Real time dashboards, and we are not here on this yet, takes the dashboard to the next level.What we do have is end user refreshable dashboards i.e. the end user is in control.Enterprise and Partner Group 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/2015 10:30 AM118



Start with the data and look for the gaps in the data, data anomalies that need further review and constantly drive for better and better dataEnterprise and Partner Group 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/2015 10:30 AM119



The Data Culture journey keeps going as you ask more and questions with data insight, you will undoubtedly drive a requirement for further data.Enterprise and Partner Group 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/2015 10:30 AM120



As you start to collect more and more data, probably from many different locations both internal and external to the organisation, this is where data operations becomes a key aspect to drive automation into.

You dont want the data burden to include too many humans in the loop, as a) it will take too long and b) it will introduce errors

Also look for ways to automate the decision making and actually remove the human from the loop completely.. We are starting to see several organisations start to manage their workforce through having an intelligent machine as the supervisior ..Enterprise and Partner Group 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/2015 10:30 AM121


#DataCultureBuild versions of the truthEnable sharing and explorationExpand the data footprintMove beyond big data to all dataLeverage the edge

Finally actually on the data and kind of covered in the other areas.Build versions of the truth and ensure that all aspects of the business leverage the correct version test this until you are sure they are using the right data or algorithm how many times has an excel spreadsheet been presented as the answer, and we are not sure of the sourceEnterprise and Partner Group 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/2015 10:30 AM122



Many tools exist today to enable data sharing, data discovery and data visualisation that non technical people can pick up through to advanced data science tooling. Ensure you look to the best way to leverage these tools to deliver on the data dividend.Enterprise and Partner Group 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/2015 10:30 AM123



Expand the data footprint; look for ways to encompass and bring into the decision making process more and more relevant data.

Organisations are using weather, traffic, and other external factors to tune the business process in real time.Enterprise and Partner Group 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/2015 10:30 AM124



For all the hype around Big Data and interesting its has now dropped of the Gartner hype cycle, so its actually mainstream !!But my point here is to move beyond Big Data and actually embrace the concept of all data. Enterprise and Partner Group 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/2015 10:30 AM125



When looking at your business processes, look to leverage the edge where possible. Leverage sensors that give you insight into your operations. We have a lift company that has 1 million plus lifts that they have instrumented with sensors and this has allowed them to shift from annual maintence schedules on all their lifts to predictive maintenance based on machine learning.Enterprise and Partner Group 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/2015 10:30 AM126

What has worked in driving a Data Culture?

#DataCulture

In summary, from the research Top down as a strategy worked best and interestingly adding additional data analytst/scientists did not..Enterprise and Partner Group 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.12/9/2015 10:30 AM127

128What does the future look like ?

All Data + All ThingsMachine +Intelligence Human +

#DataCulture

So what does the future look likeWell as we think about the areas we should be focussed on it is enabling Humans with Machine Intelligence, All Data and All Things to drive forward our companies.128

129Where to Look to get startedAgent allocationWarehouse efficiencySmart buildingsPredictive maintenanceSupply chain optimizationUser segmentationPersonalized offersProduct recommendationFraud detectionCredit risk managementSales forecastingDemand forecastingSales lead scoringMarketing mix optimization

EXAMPLE SOLUTIONS

Sales and marketingFinance and riskCustomer and channelOperations and workforce

#DataCulture

Now back to today. We are firmly in the world of Narrow Intelligence, but even this is redefining how organisations are working, and organisations that are starting to leverage machine intelligence are starting to outperform their peers and have better relationship with their customers. Nearly all my conversations with customers now, are now around how they leverage machine intelligence to improve, create, shape how they move into this new age.129

130Example

GiveGraphwww.justgiving.com

81 Million nodes361 Million Relationships

#DataCulture

Just one example, is Justgiving. They have leveraged some complex algorithms and machine intelligence to understand the relationship people have between themselves and the causes that are looking for funding. They are doing this across 361 million relationships and presenting in realtime information that has changed their business model and allow them to dramatically improve the level of giving that occurs. Thats the power of machine intelligence.

130

Gary Richardson Director of Data Engineering, KPMGBuilding a Data Science Capability

#DataCulture




Building the DS&E team to maximise the data dividend


# 2015 KPMG LLP, a UK limited liability partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (KPMG International), a Swiss entity. All rights reserved.Structuring the team for successData ScienceData EngineeringDevOpsMachine LearningDeep LearningBrittle ModelsIndustrializationSoftware DevelopmentData PipelinesCluster ManagementCloud OrchestrationAutomation

# 2015 KPMG LLP, a UK limited liability partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (KPMG International), a Swiss entity. All rights reserved.Head of Data ScienceData ScientistsLead Data ScientistData EngineersSenior Data EngineerDevOpsLead DevOps

Data ScienceData EngineeringDevOpsProduct Management & Project ManagementGraduatesOrganization Structure

# 2015 KPMG LLP, a UK limited liability partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (KPMG International), a Swiss entity. All rights reserved.Ways of WorkingConfluenceJiraStashBambooDescribe the outcomeDelegate the workControl the codeAutomate the deployment

# 2015 KPMG LLP, a UK limited liability partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (KPMG International), a Swiss entity. All rights reserved.


# 2015 KPMG LLP, a UK limited liability partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (KPMG International), a Swiss entity. All rights reserved.

Jon Woodward Business Lead, BI & Analytics, MSFTNext Actions

#DataCulture




Leverage the Edge Tune your business to embrace Machine Intelligence138What Should we do Today Build a Data Culture Plan Move beyond Big Data

#DataCulture

138

data culture keynote and exec track birm dec 8th

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