Download - Big Data and Analytics - 2016 CFO
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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