Comment rendre votre architecture BI plus flexible avec HANA?

HANA as an Analytics Platform

Stefan Lotz

SAP Senior Pre-Sales, Platform Solution Group

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 2

C’est quoi HANA?

SAP HANA PLATFORMON-PREMISE | CLOUD | HYBRID

Web Server JavaScript

Fiori UX Graphic Modeler

Data Virtualization ELT &

Replication

Application Services Integration Services

Columnar

OLTP+OLAP

Multi-

Core/Paralleliza

tion

Advanced

Compression

Multi-tenancy

Multi-Tier

Storage

Spatial Graph Predictive Search

Text

AnalyticsPlanning Data

Enrichment

SeriesData

Function

Libraries

ALM

Processing Services

Database Services

Hadoop

Integration

Streaming

(CEP)

Application Lifecycle Management

High Availability /

Disaster Recovery

Open Standards

Data Modeling

Remote DataSync


What are the 5 V’s of Big Data? (examen )

Volume

Velocity

Variety

Value

Veracity


Disruptive Forces are Changing the Speed of BusinessFaster business requires business agility

MORE DATA

DATA IS GETTING BIG

SPEED OF BUSINESS

HAS RADICALLY

INCREASED

LESS TIME

The Economist

Tax in Brazil: Nothing is Certain

26

268 hours

tax payments a year

Brazilian companies need to make

Brazilian ranked most time-

consuming tax regime in the

world.

“ “

requiring of prep work


What if you could…Use data analytics to increase agility of your business

Financial

performance &

risk control

Business

Optimization

Customer

Service &

Engagement

Analytics

Market Share

SKILLS

BUSINESS NEEDS

POWERFUL IT

Big Data

Digitization

Internet of Things

DATA

Social

Data Scientists

Business Analysts

Age of Customer

Data-driven culture

Digital Disruptors

In-memory | Cloud | Mobile | Cheap Processing Power


Reality of today’s analytics landscapeRear-view mirror, fragmented, slow, complex and expensive

OLTP

Real-time posting

into transactional

system

Aggregation

Batch transfer to

Data WarehouseReporting challenges

Large volumes

High impact

“Real-life”

business

transaction

Analysis &

insight

Actions

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Transactional

System

OLAP

Data Marts

Days*75 Minutes***24-hour cycle**

Discover Harvest Filter Integrate Augment Analyze Act

Limited flexibility due

to predefined data

structures

Long query run times

Loss of detail

Long wait times for

reportsData Temperature

*Real-Time Data, BI, and Analytics: TDWI survey | ** Avg. Data Refresh Frequency | *** Avg. Response time based on Aberdeen Group, 2011


Agile Insights…..Beyond the WarehouseReal-time technologies making BI and analytics more actionable

Real-Time Agile Insights

No Aggregation / No Data Staging

“Real-life”

business

transaction

Analysis &

insight

Actions

Knowledge

influences Action

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Analytical

Opportunities

Discover Integrate, Cleanse

& Enrich

Analyze Distribute Embed Act

Real-time

loading into

SAP HANA

• Scan & Filter

• Predictive

Analysis

• Text Analysis

• Spatial

Processing

• Sentiment

Intelligence

• Graph

Processing

• Integrate into

business

processes

• Dashboard

• Alerts

• Reports

• Events

Data Temperature


SAP HANA-powered Agile BI & Advanced AnalyticsA game changer for every industry and application area

Risk

AnalysisSocialOperations Maintenance

Fraud Mgmt &

Risk Analysis

Routing &

Optimization

APPLICATION AREAS

INDUSTRIES

Life SciencesTransportation &

logistics

Financial &

Insurance Services Telecommunications

Retail &

Consumer Products

SAP HANA

Customer

Churn

Supply

Chain

Situation

Intelligence

Operationalize Data

Pipeline

Capturing data as it is

created or updated

Make Agile BI Real

Bring simple, instant access to

business users

Run Deeper

Analytics

Perform advanced analytics to

uncover nonobvious insights or

predict future outcomes

Get Instant Insights

Perform fast, interactive

queries


Operationalize Data PipelineLow latency data capture and cleansing

• Real-time replication and bulk data movement

with smart data integration

• Native data transformation, cleansing and

wrangling capabilities with smart data quality

• Federate multiple data stores as local virtual

tables using smart data access

• Capture, filter, analyze and act on streaming

data with smart data streaming

SAP Data

1010100

1010110

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Third Party Data

Native Real-time Data

ReplicationSA

P H

AN

A Native Transformations

& Cleansing

Streaming Data

Native Streaming

Processing

IBM DB2,

Netezza,

Oracle,

Teradata,

More

Columnar

In-memory

SAP HANA PLATFORM

Calculation

Engine

Virtual Tables

BI / Analytics / Apps

Stephen Burr

University of Kentucky

“We’re no longer in the business of Data

Movement – now we’re in the business of

better decisions.

using information

“

to make


Get Instant InsightsPerform fast, interactive queries

• Industry-best scanning filtering because entire model

& data is in-memory

• Columnar storage enables high compression, self-

indexing and high-performance analytics

• MPP architecture enables processing of parallel

queries to efficiently scale out across server nodes

• Insert-only store prevents locking while running

queries during data ingestion

• Unified stack removes data silos and gridlocks

SA

P H

AN

A

SAP Data

1010100

1010110

1001110

1010100

1010110

1001110

Third Party Data

Calculation

EngineColumn

Storage

SAP HANA PLATFORM

In-memory

MPP

Multi-coreVirtual Data

Model

Delta

store

No

Indexes

ACIDAcid-

compliant

Low latency data capture & cleansing

BI / Analytics / Apps

ROLAP

Engine

Streaming Data

Santiago José Reig Lamberti

Head of Business Intelligence B2B, TUI Travel PLC

“Now that we’re running SAP HANA on Cisco

UCS, we have gone from analyzing millions

of records in hours, to the flexibility to

in seconds.

analyze hundreds of millions

“

of records


Make Agile BI RealBring simple, instant access to business users

• On-the-fly-aggregation allows for self-service data modelling

• Flexible tables allows dynamic schema so there are no model

constraints

• Virtual data model simplifies modelling and eliminates need for

expensive tuning tasks like multiple indexes, aggregates and

materialized views

• Cloud-based offering allows for seamless on-demand capacity

• Open approach to access and connectivity with support for

JDBC/ODBC, SQL and MDX, and certified to work with all

best-of-breed BI both SAP and non-SAP

SAP Lumira/SAP

BI PortfolioCertified

3rd Party BI

Vendors

SA

P H

AN

A

Low latency data capture & cleansing

SAP Data

1010100

1010110

1001110

1010100

1010110

1001110

Third Party Data

Calculation

EngineColumnar

In-memory

SAP HANA PLATFORM

On-the-fly-

aggregationFlexible

tableCollapsed

stacks

SQL, MDX,

JDBC/ODBC

Streaming Data

Cloud-ready

Ron Grabyan

Manager of Data Warehousing Services, Southern California Edison

more than five times faster.

User self-service is a goal for SCE,

Reporting on the data warehouse has seen dramatic

improvements making it

Users will be able to get in and look at their data a lot faster.

“

“

and SAP HANA helps us to optimize user experience and alleviate

setup time.


Virtual Data Model on SAP HANAPlug-and-Play Access to Business Models and Business Logic

Information models

Data in HANA is managed with tables and/or

information models

Tables

• Columnar storage

• Storage of detailed operational “raw” data

Information models

• Logical views of the data that define useful business

models and logic on top of tables

– Analytic views

– Calculation views

• Created by the SAP HANA Studio, a database

management and modeling tool for SAP HANA

• Information models do not store data

SAP HANA

Tables

Dashboarding

& Apps

Design

Studio

Self-Service

Lumira,

Analysis,

Reporting

Crystal

Reports,

Web

Intelligence

Direct Access


Limit Shadow ITEmpower your business analyst without taking away their BI & Data Mart agility

HANA Features

ANSI SQL-based

Native EIM

Simple

In-Memory Columnar

Native EIM/Virtual Data

Model

Flexible schema

Virtual Data Model

On-the-fly-aggregates

*TDWI Report: Real-Time Data, BI, and Analytics by Philip Russom, David Stodder and Fern Halper

0% 10% 20% 30% 40% 50%

Don't have all the data you need

Don't have the right data model,relationships, attributes,…

Are too restrictive in their datamodels

Don't allow you to clean,integrate, or model the data

Take too long to get results

Are too complex, complicated,cumbersome to use

Don't have good data quality

Are not intuitive

“Why do you use BI Applications, some or all of the time?*”Reasons business users resort to homegrown BI Apps


Run Deeper Analytics

Use advanced analytics to uncover nonobvious insights or predict future outcomes

• Reduce data-to-compute distance by leveraging in-

database analytics with native algorithms & functions

• Multi-engine support for

predictive, text, spatial & graph processing

• Support for heterogeneous data types structured &

unstructured data

• Big data-ready

• Hadoop integration

• Support for MapReduce via Hive and Spark integration

In-databaseColumnar

In-memory

SAP HANA PLATFORM

SA

P H

AN

A

Low latency data

capture & cleansing

Predictive

EngineSpatial

Engine

Text Analysis

Engine

Graph

EngineTime

Series

Hadoop

Integration

SAP Data/Non-SAP Data

Predictive Geo-spatial Graph Text Analysis

We have built a custom application on SAP HANA that helps us identify

high-risk gas pipes in close proximity to residential buildings.

Pieter Den Hamer

Big Data BI Strategy Manager, Alliander

“

In the past, this analysis took three & a half hours

using our legacy database. Now with

allowing us to perform ad hoc asset management, reduce

potential outages and avoid catastrophic failures.

spatial processing in SAP HANA, we can answer the

same question in

two to three seconds,

“


Operational Reporting

5 Types of Analytic Use-casesHANA accelerates every use-case

OLTPOperational

Data Store

Fast data movement

Fast query response time

Query & Analysis

Fast data movement

Fast query response time

Fast aggregates & View refresh

User & Data Scalability

OLTPWarehouse

or Data Mart

Multi-dimensional OLAP

Fast, On-the-fly cube builds

Fast query & aggregate calculation

Fast Scenario Modeling (Updates)

User & data scalability

OLTP OLAP

OLTP

Planning & Forecasting

Planning

System

Fast plan re-computation

Fast forecasting (Updates)

Fast aggregations & reporting

User & data scalability

Unstructured Information

Discovery

Fast search index re-computation

Fast query & guided navigation

Warehouse

Unstructured

Analytics


HANA as an Analytics PlatformThe perfect marriage in an end-to-end stack

Analytics

Platform/Use

Cases

Enterprise

BI

Advanced

Visualization

High-

Performance

Data Mart

Advanced

Analytics

Agile BI

Platform

Optimized BI access

to business models

and business logic

in SAP HANA

Supported

for all use

cases

Many customer

successes in all

industries and

lines of business

© 2015 SAP SE or an SAP affiliate company. All rights reserved.

Merci!