SAP HANA Real Time Analysis and Data Management

Platform

HANA Real-Time Data Platform AN INTEGRATED SUITE OF PROVEN CAPABILITIES FOR DATA MANAGEMENT and ANALYSIS

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BACKGROUND §  Result of six year multi-billion dollar co-development effort

between SAP and Intel

§  Released in 2011, there are over 6400 commercial HANA clients. There is nothing comparable in the market.

HANA ARCHITECTURE §  Data is entirely in optimized memory

§  Single copy of data – no indexing/aggregates/duplication

§  Bring analysis engines to the data

HANA KEY CHARACTERISTICS §  Highly compressed enterprise class database for multi-billion

record queries §  Multi-modal analysis platform for Geospatial, Predictive,

Graph/Link, and Unstructured Text analysis §  All without copying or moving the data

RESULTS

§  1000X average increase in analysis and processing speed

§  6 to 1 SWaP reduction

§  Lower operating costs by 30-40%

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Speed = Simplicity

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SAP HANA Platform

Financial

Procurement

Other Sources

Replication

Batch/ELT

Smart Data Access

Calculation Engine User Interface

Predictive Engine

Streaming Engine

Text Analysis

Graphing Engine Geospatial

Analysis

Compression No Aggregate Tables

Dynamic Data Tier

Virtual Data Models

SAP HANA PLATFORM

HANA Studio / 3rd party SQL

Business Objects, SAS, Clickview, Tableau, Cognos

BI & Analytics Tools

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Disk based architecture HANA In-Memory Data Platform

SOLVE the enterprise performance problem A NEW ARCHITECTURAL APPROACH

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PoC: Text Analysis of News Articles. Reduced pipeline time from >24hr to 2hr for

1.5M daily records.

PoC: Multi-modal fusion; High Performance

Computing replacement

CRADA: Reduced message processing time fro 4 hours to 15 seconds

6400+ HANA customers PERFORMING DATA PROCESSING AND ANALYSIS CRITICAL TO THEIR MISSION

Representative SAP HANA Use Cases •  300 analysts looking for fraud and related

issues •  500PB Hadoop store of transaction data •  Brought in HANA to introduce automated

anomaly detection •  Analyst productivity rose from 2

confirmed incidents/month to 80

•  Social media analytics across 450 sites •  Focused on sentiment analysis (branding) •  Brought in HANA to accelerate analysis,

add geospatial and introduce predictive analytics

•  Queries complete 14,000X faster, allowing ‘pre-selling’ of trends

•  14000 miles of pipeline they are required to inspect

•  Data stored in Hadoop •  Brought in HANA to accelerate

analysis and to introduce predictive modeling of trouble spots (weather, terrain, materials, etc)

•  Analysis time dropped from 63 days to 15 minutes for a 20 mile segment

•  Developed Citizen Connect – a mobile framework for residents to report on potholes, graffiti, loitering, etc

•  Geospatial and text analysis to triage the reports

•  Prediction of mitigation impacts

•  21% rise in constituent satisfaction; 89% of citizens would recommend the app

Analyst Efficiency Social Media Analysis

Weather and

Terrain Effects Analysis

Situational Reporting

and Analysis

All with a significantly reduced server footprint