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DATA CULTURE SERIES – 19th May 2015London
? Who is using Data to drive the future of their business?
? Who is using Predictive Analytics / Machine Learning yet to
change their business model?
UK Business Lead for BI & Advanced Analytics
4
Jon Woodward : Connect & Follow
4
@JLWoodward
www.linkedin.com/in/jonathanwoodward
#DataCulture
SQL Server
PowerBI
AzureML
Hadoop
DataFactory
DocumentDB
Search
EventHub
Stream Analytics
Revolution R
Azure DW
Azure Data Lake
Industry transformation driving opportunities
2015…We have reached a Tipping Point
Of organizations will
consider cloud
deployment
50%
Of new licence spend will
be for Data Discovery &
Analytics
50%
Of BI & Analytics spend
will be driven by the
Business
50%
Of Users will be touched
by BI and Analytics
50%
Core to Vision
Start Justin
Digital Work & LifeExperiences
Data…Driving the Experience
UK Economy - data dividend
The Microsoft
data platformMobileReports
Natural
language queryDashboardsApplications
StreamingRelational
Internal &
externalNon-relational NoSQL
Orchestration
Machine
learningModeling
Information
management
Complex event
processing
Data Culture Series
Data Culture Exec
Session
Data Culture
Summit
4 events – final event 14th May, LondonCXO Level – Invite only
10 events; 1000 customersPower User, Analyst, Architect, Developer, DBA, Data Scientist
Final event this fiscal ( London)
Data Culture Summit
Date Location
19 May LONDON Data Culture series
Summer Break
Date Location
September 16th
/17th
London 2 Day Data Culture Event - http://bit.ly/MSFTDataCulture
Nov 10-11th
London Future Decoded - https://futuredecoded.microsoft.com/
Jan TBC 2 Day Data Culture Event
Value of Data
IoT
Business Apps
CMO, CFO, Sales
Business Case
For Data
CDO, CIO, CTO
Architect Level
Data Platform Workshop
Modernising your Data Platform
Data Developer
Multi-track - Hands-on
BI, Advanced Analytics , IoT, Data Services, Big Data
Dashboard in a
Day
Analyst
Hands on BI
#DataCulture
Microsoft Data Culture - UK
Time
10.00 – 10.30 Intro – Jon Woodward
10:30 – 11:30 KeynotePhillip Watson – Business Applications and DataNeil Miller – Revolution Analytics Overview
11:30 – 12:30 Immersion Tracks - Overview
12:30 – 13:15 Lunch & Expo
13:15 – 15:00 Immersion Hands on
15:00 - 15:15 Break & Expo
15:15 - 16:30 Immersion Hands on
16:30 – 17:00 Panel and l Close
Microsoft, HortonWorks, KPMG, Revolution
PHILLIP WATSONBusiness Applications and Data
Phillip WatsonSolution Specialist
2
1
R&D, Plan Source, Supply
BOM
26
“Understand, Unlock and Empower your organisation to gain a competitive edge through data driven insight”.
Date: Thursday, June 25, 2015
Time: 01:00 PM British Summer Time
Duration: 1 hour
Understand how information can underpin the delivery of exceptional customer care at the webinar “Care Everywhere –How to amaze, delight and exceed your customers’ high expectations”
Date: Thursday, June 25, 2015
Time: 01:00 PM British Summer Time
Duration: 1 hour
Take a look at the Business Intelligence capabilities that
Microsoft Dynamics AX can surface here
& Microsoft Dynamics CRM here
• If you want to discuss how business applications can
link with your decision making processes contact
Martin Lloyd on [email protected]
NEIL MILLERRevolution Analytics OverviewBigger Data with R
BIGGER Data?
R
Revolution R
Enterprise
Revolution Analytics Proprietary
(A Zettabyte has 21 zeros)
(40,000,000,000,000,000,000,000)
(= 3 million books per person)
Volume
Variety
Velocity
Revolution Analytics Proprietary
But…
• Wider data sets (many more variables / features)
• Real time scoring (steaming data in fast…) Revolution Analytics Proprietary
THE PERFECT STORM
+ Computing Power
+ Bigger Data / More Data
+ Pace of Business+ Customer Expectations
+ Data Science
+ Computer Science
+ Management Science
Better
Business
Decisions
Better
Business
Outcomes
Revolution Analytics Proprietary
- Robert Gentleman & Ross Ihaka, 1993
- Version 1.0 in 2000
- 3.0+ Million Global Users
- 6200+ “Packages”
- R in Universities = New Talent
- Open Source = Access To Innovation
- Programming Agility
- Huge range of predictive analytics
We love R!
Revolution Analytics Proprietary
Source: www.rexeranalytics.com
Revolution R Enterprise solves these problems!
?
Revolution Analytics Proprietary
OUR COMPANY
The leading providerof advanced
analytics software and services
based on open source R, since 2007
OUR PRODUCTS
REVOLUTION R: The enterprise-grade
predictive analytics application platform
based on the R language
Revolution Analytics Proprietary
Language
Interpreter and
Standard R
Algorithm Suites
Development &
Deployment Tooling
Big Data Distributed
Execution Platform
R +
CR
AN
Revo
R
DistributedR
ConnectR
ScaleR
DevelopR DeployR
Revolution R Enterprise Big Data Big Analytics
Ready
– Enterprise
readiness
– High performance
analytics
– Multi-platform
architecture
– Data source
integration
– Development tools
and Integration
tools
Enterprise Technical
Support
Revolution Analytics Proprietary
Revolution Analytics Proprietary
File NameCompressed
File Size (MB) No. RowsOpen Source R
(secs)Revolution R
(secs)
Tiny 0.3 1,235 0.001 0.05
V. Small 0.4 12,353 0.21 0.05
Small 1.3 123,534 0.03 0.03
Medium 10.7 1,235,349 1.94 0.08
Large 104.5 12,353,496 60.69 0.42
Big (full) 12,960.0 123,534,969 Memory! 4.89
V.Big 25,919.7 247,069,938 Memory! 9.49
Huge 51,840.2 494,139,876 Memory! 18.92
22 years of US
flight data
124m rows, 29
variables
Linear
Regression
model - arrival
delay as
function of
day-of-week Tests run on 4 core machine, 16GB RAM and 500GB SSD
Revolution Analytics Proprietary
DistributedR
ScaleR
ConnectR
DeployR
In the Cloud Cloud
Workstations & Servers DesktopsServer
Clustered Systems Microsoft HPCLinux
EDW Teradata
HadoopHortonworksClouderaMapR
+ HD Insights
+ SQL Server vNext
+ Azure ML
+ Power BI
Revolution Analytics Proprietary
In-database analytics at massive scale
Data Scientist
Interact directly with data
SQL Server
Data Developer/DBAManage data and
analytics together
ExtensibilityExample Solutions
• Fraud detection
• Sales forecasting
• Warehouse efficiency
• Predictive maintenance
010010
100100
010101
Relational Data
Analytic LibraryNative functions
T-SQL Interface
Benefits Faster deployment of ML models
Faster performance
(Move compute to the data)
Improved scalability
In-DB Analytic Scenarios Real-time fraud detection
Customer churn analysis
Product recommendations
R
R Integration
coming!
Microsoft Confidential. Preliminary Information. Dates and capabilities subject to change. Microsoft makes no warranties, express or implied.
Revolution Analytics Proprietary
Assemble and standardize
all of a marketer’s data into
a Hadoop cluster
Apply the rigor of a medical
researcher with patented
methodology
Know whom
to reachIdentify and attribute
the revenue drivers
Revolution Analytics Proprietary
More info at:
http://www.revolutionanalytics.com/content/datasong%E
2%80%99s-big-data-analytics-platform-marketing-
optimization-helps-clients-understand
Features
Ensemble of models used:
SVM, Random Forests, and Neural Networks.
Then Logistic Regression used to assess pass
/ fail
Pass
Or
Fail
Pre-processing
crop and align to
fixed size.
More info at :
http://info.revolutionanalytics.com
/30apr15-iot-and-the-
manufacturing-floor.html
Revolution Analytics Proprietary
HOG (Histogram
Orientated
Gradients)
Feature Selection Each value is a composite
(histogram) of multiple
pixels
Hadoop
Edge & Data Node2 x Data Node
• Use new 3rd party data-sources of categorical data to automatically
create new variables (features). e.g consumer spend across various
categories, locations etc.
• Split and analyze features in parallel to measure predictive quality for
credit-risk and default
• Champion / Challenger: Select top ‘n’ new features and compare
against existing features in credit risk models.
• Introduce new “Golden” features once proven to enhance model
• Legacy solution took several months to code with 6 week run process
(with manual intervention). Unsuitable for production runs!
• Revolution code implemented in Hadoop using massive parallel
processing machine-learning to automate feature selection.
• 6 weeks processing reduced to a < 24 hour automated execution
process
External 3rd Party
Data Sources
Customer Credit
Process
Revolution Analytics Proprietary
What next?
• If you are using R (or SAS, SPSS, Matlab…) today and need scale,
speed, support and get on the road to Microsoft Advanced
Analytics come and talk to us!
• More info? www.revolutionanalytics.com
Revolution Analytics Proprietary
Tracks Rooms
DATA CULTURE SERIES – 19th May 2015London - Panel
Ric Howe - [email protected] Microsoft
Tim Marston - [email protected] HortonWorks
Andrew Morgan - [email protected] KPMG
Neil Miller - [email protected] Revolution Analytics
#DataCulture
Ric (Microsoft) Q : With all the recent announcements at //Build and Ignite, what aspects should we be most excited about
#DataCulture
Andrew M (KPMG)Q : Does Data Science really require Data Scientists
#DataCulture
Tim M (Hortonworks)Q : if Hadoop is the answer to Big Data, where is it heading…what is the future vision
#DataCulture
Neil M(Revolution)Q : Analytics and R is such as hot topic –how should be start?
Trial : Revolution R Open
Trial : Hadoop (HDInsight, HDP)
57
Get Hands on…
Trial : SQL Server 2014
Trial : PowerBI
Trial : Machine Learning (AzureML)
SQL Saturday – Manchester , July 25th
SQL Relay , October 12-22nd – 8 Locations
PASS BA*, London , November
PASS Summit*- US, October 27-30th
SQL Saturday – Edinburgh , June 13th
58
Community Events
58
* See Jen Stirrup for Discount
60
SQL London Chapter (Tonight)
6:00 - 6:10 PASS Chapter Updates
6:10 - 7:10pm Allan Mitchell (MVP) - DocumentDB
7:10 - 7:40pm Break & Networking
7:40 - 8:40pm Tobiasz Koprowski (MVP) - WASD for Beginners
Linked In: http://www.sqlpass.org/linkedin
Facebook: http://www.sqlpass.org/facebook
Twitter: @SQLPASS
PASS: http://www.sqlpass.org
Learn More: Microsoft Azure
• Microsoft Azure Consulting Sessions – Apply Now to 27th May• Contact our Azure advisory team at [email protected]
• Tech Days Online – Azure Special: 2nd-4th June• Developer showcases, demos and deep technical learning with MS experts
• http://aka.ms/tdoazure
Learn More: Internet of Things & Data
• Developing for Internet of Things: http://aka.ms/iotworkshop• Download the Hands On Lab• June 11th Reading: 1-Day IoT & Data “Hackathon” hands on learning• Waitlist registrants receive 1st priority for next event
• Machine Learning without a PhD• Watch the Webinar http://aka.ms/azuremlwebinar• Download the hands on lab http://aka.ms/machinelearninglab
• Join the IoT Community Group: 9th June Focus Group• Connect with Microsoft and others in IoT. • Contact [email protected]
Get Ready for September..
Date Location
16 September READING
10 November LONDON
27 November READING
3 December LONDON
27 January LONDON
24 February LEEDS
24 March EDINBURGH
8 April BIRMINGHAM
12 May READING
19 May LONDON
Have a great Summer….
UK Business Lead for BI & Advanced Analytics
64
Jon Woodward : Connect & Follow
64
@JLWoodward
www.linkedin.com/in/jonathanwoodward
#DataCulture
THANK YOU
?
