sap big data strategy
DESCRIPTION
Presentation on SAP Big Data Strategy at Partner Summit this week in Bangalore IndiaTRANSCRIPT
SAP Big DataAtul Patel, Vice President, SAP Analytics, SAP APJ: T:Atul_SAPDecember, 2013 [email protected]
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BIG DATAREAL TIMEPREDICTIVE
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Big Data” has moved from discovery to mainstream 1st BDaaS expected in APJ in 2014 Public Sector; Utilities; Manufacturing; Retail; Banking; Telco; Consumer Partners are key to success – SIs, ISVs, Distribution, Hardware
Big Data = Big OpportunityData is the new oil driving business opportunity
India Big Data Industry to grow to 1B USD by 2015 at CAGR of 83% 2012-2015
Big Data Industry getting traction in India w Analytics Service Providers offering Business Centric Solution
India has advantage of strong skill base for Big Data vis-à-vis other geography
Source: Nasscom Big Data Report India http://www.nasscom.in/sites/default/files/researchreports/softcopy/Big%20Data%20Report%202012.pdf
Big Data Examples
Instantly predict market trends and customer needs
Predict how market price volatility will impact your production plans
See changes in demand or supply across your entire Supply Chain immediately
Monitor and analyze all deviations and quality issues in your production process
Provide exactly the right offers and service levels to every customer
Have a continuously-updated window into future sales, showing changes in real time
Understand what your customers and potential customers are saying about you, right now
Predict cash flows to manage collections, risk and short-term borrowing in real time
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But most organizations are not addressing this opportunity…Traditional financial metrics are backward looking
Most Established KPIs are “Backward
Looking”
$2 BillionAnnual revenue increase made possible if the Fortune 1000 business increased the usability of its data by just 10%
10%
75%
Use AnalyticsToday
Need Analytics by 2020
Nucleus Research, Gartner, Fortune Magazine
Also traditional IT architectures are pressured …driving new solutions such as Hadoop
2.8 ZB in 2012
85% from New Data Types
15x Machine Data by 2020
40 ZB by 2020
New Sources (Sentiment, Clickstream, Geo, Sensor)
Ref: H
orto
nwo
rks
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Why? Information processing has become too complexPoint optimization is not enough
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Why SAP for big data?
SAP makes Big Data Actionable
Big Data Platform Big Data ScienceBig Data
Analytics & Apps
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Real Time Real ResultsReal Value
Big Data success demands full coverage
Accessible
Deep
SimpleRealTime
Broad
Answer complex questions on granular data
Predict the best next action
On any device or to any user
Self service and intuitive interactions
No data preparation
No pre-aggregates
No tuning
Real-time streams of data
Ask a question, get an immediate answer
Massive data scale
Many data types
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Big Data is Strategic to SAP (eg: Acquisitions)
…revolutionizing the way companies use predictive analytics to make better decisions on petabytes of data.
…KXEN complements existing advanced analytics from SAP including SAP Predictive Analysis.
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http://hortonworks.com/partner/sap/
Big Data is Strategic to SAP (eg: Partners)
13http://hadoop.intel.com/videos/idh-sap-hana-story
SAP transforms both Businesses and IT
Reduce waste & fraud in government fund<2 min for detecting 100,000 names over 90M records
Identify cancer DNA variants for treatment216x faster results: 3 days 20 minutes
Improve diagnostic through pattern detection300M records; analysis in 2-10 seconds
Predict customer purchase sentimentSeasonality Analysis in 5 seconds
Improve labor utilization1131x faster reporting time
“Perfect order” experience60x faster real-time insights
Sharpen marketing effectiveness56x faster reporting: micro-targeted customer offers
Accelerate monthly close & spending insight75% reduction in CRM query ~23 to 6 seconds
Launch new products or markets400x faster report execution: Forecast sales-trends in real-time
Remote roadside diagnostics in real-timeAnalyze 15 years 1 TB data in seconds
Deeper customer relationships360 customer view and comprehensive experience
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SAP HANA Data Platform for Big Datato unleash real-time business value
Consume
Store & Process
Ingest
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Big Data Applications
Make Big Data insights actionable via industry specific, business focused applications from SAP and companies in the SAP Startup Focus program.
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Customer Value Intelligence (CEI)
:-)Audience
Discovery (CEI)Account
Intelligence (CEI)
Fraud Management
Demand Signal Management
Social Contact Intelligence (CEI)
Sentiment Intelligence (RDS)
Manufacturing (Operational Intelligence)
Manufacturing (Responsive
Manufacturing)
Big Data Applications (eg: CEI)
Customer Analytics Foundation
Margin Decomposition
Real Time Customer Insights
Customer Classification
Customer Stratification
Personalized Treatment
Mobile Interactive Account
Targeting
Customer Value Intelligence
Account Intelligence
Strategicand Effective
Selling
Selling Recommendations
Customer Engagement Intelligence
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Big Data Applications (eg: DSiM)
SAP Demand Signal Management is the enterprise platform for integrating all relevant demand signals (internal and external) to a single source of truth.
.
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SAP Data Scientists
Top (PhD) level global team. Science teams in Scottsdale, Walldorf and Bucharest.
Credibility attained by working with >100 customers and creating some of the most sophisticated use cases
Pioneers in demand science, with significant reusable IP and deep analytic competencies
Insights and Compliance
Mathematical Modeling, Forecasting, Simulation, and Optimization
Experts in relevant SAP Technology: HANA, SAP Business Objects, SAP Predictive Analysis, Visualization
Flexible delivery
PAL and R integration
SAP HANAPlatform and beyond
Data ScienceSAP Business Objects
DashboardsSAP Predictive Analysis
+ +In-
Mem
ory
2
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2)( 2
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xf
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Finance
Telecom
Retail
e-Business
MSP
Media
PublicSector
Energy& Mfg
Predictive Success With Over 500 Customers
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Serve the Business UserLower the Barrier for Predictive
Modeling
Why KXEN? Market CredibilityExpanded and Accelerated Predictive
Capabilities
The Predictive market has struggled and continues to struggle due to a shortage of skilled data scientists/analysts to perform predictive modeling.
KXEN has taken a solution approach that allows business users in LoBs to solve common Predictive problems without the need for highly skilled data scientists.
KXEN’s technology will enable SAP to significantly enhance a number of its existing applications by adding powerful, intuitive predictive capabilities.
60- 70% of the effort in the predictive process is dedicated to the creation of properly formed Analytic Data Sets. KXEN provides an entire module (Explorer) to enable users to easily create reusable analytic data sets.
KXEN adds model management and social network analysis to SAP’s portfolio
KXEN’s solution automation approach will enable SAP to accelerate its foothold into the Predictive market and enhance SAP’s PA market credibility
Sold to over 500+ customers
Proven success with impressive references
4th in market share behind SAS, IBM/SPSS and MSFT
KXEN Integration
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Data Scientist
Business Analysts
Solutions for the entire spectrum of Users#
of
Use
rs
Level of Skillset
Business Users & LOB
Embedded Analytics
Low
Low HighMedium
High
Medium
Industry & Business Process Analytics
Run, Grow and Transform the Business – Industry Use Cases
•Next Best Activity•Cross Sell/Upsell•Churn Reduction•Brand Sentiment & Sales Analytics
•Customer Loyalty Analysis•Pricing Optimization•Product Launch Success•Brand Sentiment & Sales Analytics
•Product Launch Success•Brand Sentiment & Sales Analytics
•Regional Forecasting•Brand Sentiment & Sales Analytics
•Next Best Activity•Cross Sell/Upsell•Churn ReductionCustomer SegmentationBrand Sentiment & Sales Analytics
•Brand Sentiment & Sales Analytics
•Credit Scoring•Compliance
•Credit Scoring•Compliance
•Credit Scoring•Compliance•Retail Outlier
•Credit Scoring•Compliance
•Credit Scoring•Compliance
•Predictive Asset Maintenance
•Fraud Management & Prevention•Optimizing Product Quality
•Fraud Management & Prevention•Optimizing Product Quality
•Fraud Management & Prevention•Optimizing Product Quality
•Fraud Management & Prevention•Optimizing Product Quality
•Tax Fraud•Credit Card Fraud•Insurance Fraud
•Fraud Management & Prevention•Optimizing Product Quality
•KPI Forecasting•Anomaly detection•Usage forecasting
•KPI Forecasting•Anomaly detection•Usage forecasting•Store Segmentation•In-store Workforce Optimization•Size and Zone Optimization•Market Share Prediction
•KPI Forecasting•Anomaly detection•Usage forecasting
•KPI Forecasting•Anomaly detection•Usage forecasting
•KPI Forecasting•Anomaly detection•Usage forecasting
•KPI Forecasting•Anomaly detection•Usage forecasting•Variable Margin Analysis•Yield Management•Equipment Effectiveness
•Out of Stock Prediction•Inventory and Logistics Planning
•Out of Stock Prediction•Inventory and Logistics Planning
•Out of Stock Prediction•Inventory and Logistics Planning
•Predictive Commodity Management•Improving Demand Planning and Inventory Management
Retail CPGFinancial Services
Manufacturing
* SAP existing assets
� CRM
� Fraud
� Operations
� Risk
� Supply � Chain
Telecom E-Business
Infrastructure / Platform
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SAP HANA Driving Sales & Ecosystem Expansion Defining the next generation database platform
$300m Services
$200m Hardware
Reselling & Incentives
Triple Digit Growth
650+ New Startups
Cloud & Hosting
SAP HANA: Predictive & Machine Learning
SAP HANA platform converges Database, Data Processing and Application Platform capabilities & provides Libraries for predictive, planning, text, spatial, and business analytics
so businesses can operate in real-time.
Provide Business Analysts with sophisticated algorithms to take the next step in understanding their business and modeling outcomes.
Perform statistical analysis on your data to understand trends and detect outliers in your business.
Build models and apply to scenarios to forecast potential future outcomes
Combine, manipulate and enrich data to apply it to your business scenarios. Self-service visualizations and analytics to tell your story
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SAP HANA: Text Analysis for Big Data
File Filtering Unlock text from binary documents
Ability to extract and process unstructured text data from various file formats (txt, html, xml, pdf, doc, ppt, xls, rtf, msg)
Load binary, flat, and other documents directly into HANA for native text search and analysis
Native Text Analysis Give structure to unstructured textual content
Expose linguistic markup for text mining uses
Classify entities (people, companies, things, etc.)
Identify domain facts (sentiments, topics, requests, etc.)
Supports up to 31 languages for linguistic mark-up and extraction dictionary and 11 languages for predefined core extractions
SAP HANAText & Sentiment
Analysis
SearchAnalyze Predict
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SAP IQ: Market Leader for Extreme EDW
High performance analytics server
Columnar RDBMS (stores data in columns- versus rows – extended storage for HANA)
Optimized for managing and accessing massive amounts of data for analytics (vs transactions)
Accelerates analytics and reporting
Up to 1000-times faster than traditional transactional databases
Handles structured and unstructured data
High compression and low TCO
Highly scalable grid architecture
2200+ customers with over 4500+ installations worldwide
Used by twice as many companies as the next leading provider
Patented data compression dramatically reduces data storage requirement; cuts TCO
Only column-based solution to support full text search, in-database analytics, and federated analytics
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Warm Big Data; Near real time loading and querying needs; Open/Commodity Hardware; Hundreds of Terabytes to Petascale; Leverage current HW investments in commodity hardware
(Windows, Unix, RedHat); NLS for SAP HANA, Deep Hadoop Integration
SAP IQ: Integration with Hadoop
ETL
Client-side federation: Join data from SAP IQ and Hadoop at a client-application level
Load Hadoop data into SAP IQ: Extract, transform, and load data from Hadoop distributed file system (HDFS) into schemas of SAP IQ via SAP Data Services
Join HDFS data with data of SAP IQ on the fly: Fetch and join subsets of HDFS data on demand, using SQL queries from SAP IQ (data federation technique)
Combine results of Hadoop MR jobs with SAP IQ data on the fly: Initiate and join results of Hadoop MapReduce (MR) jobs on-demand using SQL queries from SAP IQ data (query federation technique)
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SAP Lumira: Visualizing Big Data unleash analyst creativity
Provides the freedom to understand your data, personalize it, and create beautiful content
Download and install on your desktop in less than 5 minutes
Insight from many data sources
Combine, manipulate and enrich data to apply it to your business scenarios
Self-service visualizations and analytics to tell your story
Optimized for SAP HANA for real-time on detailed data
Self Service for Analysts
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SAP ESP: Streaming Big Data
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Analyse and act on events as they happen – by relying on real-time event-driven analytics. With our award-winning complex event processing (CEP) platform, you can develop and deploy business-critical applications that give you the agility you need to make quick, profitable decisions.
Process and analyse multiple streams of high-speed, high-volume complex event data in real time
Get actionable information from event streams and generate alerts for events needing quick action
Initiate automatic responses to changing conditions based on one or a combination of events
Develop applications quickly for fast ROI with the high-performance CEP engine
SAP Business Objects: Analysing Big Data
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BI Platform
Dashboards & Visualization
Reporting
InteractiveReporting
Analysis
Search & Exploration
Semantic Layer
SAP InfiniteInsight: Using Big Data end user predictive analytics
Revolutionizing the way companies use predictive analytics to make better decisions on petabytes of data.
Predictive analytics’ first-ever semantic layer
Automates the building of sophisticated predictive models for every data mining function.
With clicks, not code, InfiniteInsight Scorer can deploy optimized scoring equations
End-to-end social network analysis capabilities
Powerful visualization capabilities and graph exploration
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SAP Mobile Platform: Mobile Big Data
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Rapidly design cost-effective, innovative apps with the most open and standards-based mobile application development platform
Simplify IT with integrated device connectivity and management, data analysis, and business processes
Inspire loyalty and reduce support costs by offering intuitive, user-centric apps – faster
Engage users in a direct, two-way conversation with apps that work on any mobile device
Improve operations by giving employees and partners anytime, anywhere access to mission-critical applications
SAP Big Data Bundles
SAP HANA platform
SAP IQ
Hadoop distribution from Intel or Hortonworks
Data procurement via Data Services and stream processing via SAP Event Stream Processor (ESP)
Advanced Analytics PA/KXEN & Visualization (BI 4.1/Lumira)
Data Science services
Big Data specific Industry/LoB applications & solutions
Integrated stack, flexible bundles, customizable to meet customer requirements and data footprint sizes, purchased by the edition, added to as needed, or purchased a la carte, including all relevant Big Data technologies & services
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Customers driving competitive advantage through “Innovation Agenda”
Exponential data growth based on business change (acquisitions, new business models (value chain extension, social media marketing, ….)
New business application requirements / Issues with SLA’s
ERP consolidation
EDW reconsideration / ‘Burning’ EDW platforms, disruptive “change” events
Outsourcing / In-sourcing of IT operations / Data center moves
Depreciated infrastructure / hardware refresh (good for SoH/BWoH)
Customers wanting to get away from competitive platforms
Sales Triggers Compelling events that create opportunity for SAP Big Data?
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Pricing & Deployment ModelsHow do I sell HANA?
HANA Edge €xxk / unit
HANA EE€xxxk / unit
Runtime% of Apps
AWS Cloud0.99c / hr
HECIAAS
PartnerClouds
OEM Bundles
ISV Runtime
VAD Resellers
Next stepBusiness scenario recommendation and value discovery workshop
SAP offers a proven methodology and approach
to discover the customer specific business
improvement areas and quantify value potential
Value Discovery workshop with your LOB and IT experts
to develop a strategy and roadmap for Big
Data
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http://www.sapbigdata.com/
For More Information
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