PowerPoint Presentation

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Minority Report2

Big Data and the Future of AnalyticsPresented by: John-Paul Della Putta

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Our Agenda for TodayEvolving Analytics From 1.0 to 3.0

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The Rise of Big DataWhat it is, how it can benefit you

Big Data TechnologyWhat it is, what you need to know

Using Big Data & Analytics?Becoming analytics drivenEnhancing your AnalyticsIntroducing KPI Pulse

The FutureSome Predictions

Evolving AnalyticsAnalytics 1.0 to 3.0

6Analytics has Changed

7From Analytics 1.0 to 3.0

Analytics 1.0 Good old fashioned reporting & BI8Descriptive analyticsGenerally backward facing and showing whats happened and whyOften theres a considerable lag between event and insightTraditional BI and Reporting still relevant today and wont be going away soon

Analytics 2.0 The Rise of Big Data 9Looking at much larger, broader data sets, often un-structured data

Emergence of new technologies which deal with large volumes of often un structured data

Rise of the Data Scientist

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Analytics 3.0Closing the loop11= Traditional Analytics + Big Data Technology + (possibly Big Data) + Prescribed Action

Example Remote Gas Well MaintenanceWhat action will be taken automatically?12

Lower Costs13Railroad sensor notices that a wheel is too hot and sends a signal to stop the train A team is sent to perform repairs Possible derailment is avoided

How operational analytics operate

Its not analytics for operations

DescriptiveSummarise and describe whats happened in the pastPredictivePredict whats likely to happen in the futurePrescriptiveDetermine actions to take and make the future happen

Recommended for You An example of operational analytics17

Redshift is Amazons Hadoop as a service

Internet Of ThingBe careful lots of noise, not much signal18

Mini CrashThe Dark Side of Operational Analytics19

Google Flu-trendsOver-states actual flu incidents by 50%20

Big DataSome real world examples

Siri was a pentagon labs experimentUses big data and machine learning etc. 23

Recommendation Engines24Average of many algorithms

Where Big Data is Used25RecommendationsRisk, Fraud & SecurityMarketing

Better decisions 5 6% INCREASE

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Big Data 101A crash course

Not Your Usual DataBig datas not just big its different28

Different Data Big Data is exciting because of all the new information it contains

3+ Vs29VolumeVelocityVariety

The techos will say that theres more than just 3 Vs, which is true, but knowing these 3Vs is an excellent starting point. 29

Instant Web DataHow many Tweets / second? 30

Unstructured DataE.g. Emails31

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The Irony of Big DataThe Questions are Simple 32Is this person a good credit risk?Is this movie worth watching?Is this too much to pay for this property?

Hadoop101

HadoopKey attributes34Open source (cost effective) Stores data in 3 places (no backup) Not a database, a file system (no loading) Suitable for large amounts of unstructured data Scalable Can be distributed over many computers (Yahoo has a 42,000 node implementation)

Its pretty complex..Sorry, I wish it wasnt, but it is35

Better Decisions36

Performance and market value. We find that DDD is associated with a 5 6% increase in their output and productivity, beyond what can be explained by traditional inputs and IT

5 6% Increase

MIT did a study on how data-driven-decision based businesses performed compared to standard businesses .Much of the information was from Andrew McAfee hes got some good information about how technology is changing business. 36

Lowering Credit Risk

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Zest Finance38

How do You as a CFO Use Big Data?Will you be deploying your own Hadoop Cluster? 39

Renting DataNot ready to build your own Hadoop cluster? 40

Qlik Data Market

The Way to a Mans Heart is Through his StomachThe Way to a CFOs Heart, is Through Their Budget 43

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"Information is the oil of the 21st century, and analytics is the combustion engine (Peter Sondergaard, Senior Vice President, Gartner)

http://www.informationweek.com/big-data/big-data-analytics/big-data-predictions-for-2016/d/d-id/1323671?image_number=445

End users want to be able to quickly analyse their own data

CFOs dont wait for IT

http://www.informationweek.com/big-data/big-data-analytics/big-data-predictions-for-2016/d/d-id/1323671?image_number=446

Qlik User-driven Analytics

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In-MemoryInstant Insights

Not Big-DataGood old-fashioned human research

Is Yelp paying too little? Are they being too greedy? I Dont know need more data

Back to the real world

Introducing KPI PulseOr Analytics 2.5 54

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Where it came from A project manager using QlikView said to me, I dont want to analyse the data I just want to know where theres a problem or who I should call.55

KPIs on anyones mobile phoneNo need to login to the server or have a Qlik license

Click to drill down to the detailsSee key details and reports

PDF / Excel reports

Chat between usersManagers can ask why performance metrics arent met

Summary & RecapWhat we learnt

So what did you learn?60

If you were paying attention

Analytics is changingMoving from descriptive analytics through Predictive to Prescriptive.Big Data has 3VsBig Data is different data and Its being used everywhere. You might end up renting it.KPI PulseYou can get real time analytics pushed out to your users mobile phonesHadoop isnt a DBIts not a database, its a filesystem and its complex. You can use it without building it

We started with science fiction

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