3. Big Data Today
GE engines in 2013
“
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“These engines generate 1Tb of data per aircraft per day”
Jeff Immelt – CEO GE
Keynote for Minds + Machines 2012 talking about the new LEAP engine
4. Primary Big Data Platform Scenarios
Providing insight from machines, assets,
and devices for better real-time decisions,
predictions, and operational performance
Machine Data Insight
Omnichannel Data
Insight
M2M Sensors
Mobile IoT
Processes Assets
Unstructured Multi-media
Real-time
Voluminous Data Geospatial
Enterprise Data
Social
Providing insight from high volume and high
variety data for real-time analytics &
actionable intelligence
5. 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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6. BIG DATA GIVES SHOPPERS FASHION ADVICE TO FIT THEIR STYLE
19. 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 HANA Text & Sentiment Analysis
Search
Analyze
Predict
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20. 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
21. 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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