getting started with bi analytics on hana

1

Getting Started with BI Analytics on HANA

August 28, 2013

With:• Rob Jerome (Dickinson + Associates)• John Zwack (SAP) • Tim Korba (Dickinson + Associates)

SAP HANAFaster, Simpler, Smarter

John ZwackSr. Director Platform & Analytics Alliances

© 2013 SAP AG. All rights reserved. 3

Real-time Operational Intelligence is the new frontier Window of opportunity to lead your way

Social

In-memory

Cloud

Mobile

Real-TimeEmpowerment

Consumerization of IT

Big DataSensing and Responding

Sentiment Intelligence

Predictive Analytics

Personalized Insights

Real-Time Analysis

New Signals

?


ToolsIVR

Gad

gets

Suites

Mo

bile

D i s c o n n e c t e d

ATM, Point-of-SaleDashboards

Alerts

Visualization

Search

Geospatial

Re

po

rting

KPIsQAScorecards

Collaboration

Life-Cycle

Localization

Planning

Version

Metadata

ECM

eLearning

MDM Mining

Guided

NLP OL

AP

DSS

Predictive

Usage

Statistical

Web

Accelerators

Ad

apters

Delivery ReportingReporting

Perform

ance Managem

ent

Supporting

An

alytics

Discovery

Integration

BAM/CEP

DQ

EAI/SOA

EII

ETL/CDCO

DS

DW

DM

Registry

Repository

DBMS

Hierarchical/XML

In-Mem

ory

Multidimensional OLAP

Mul

ti-V

alue

RDBMS

StreamingCustomer Service

Risk Management Team

Finance and Operations

Account Administration

Executive Management

Customers Channel Suppliers Accounting ForecastingInventory Products Pricing Planning

Vision across entire business process is a mustLegacy of stove-piped fragmented operational data views

OLAP DB

OLTP DB


Your Reality with SAP HANA

Groundbreaking In-Memory Innovations

300x FasterAnalytics

???

Real-Time Access to Transactional Data

Scale

Speed

Flexibility

SAP HANA


SAP’s In-Memory Data Management innovationProviding real-time platform for enterprise analytics & applications

A common Database Approach for OLTP and OLAP using an In-Memory Column DatabaseHasso Plattner

Transactions + Analysis directly in-memory

VS

Transact Analyze Accelerate

SAPIn-Memory

cacheETL


Delivering across all dimensions of information processingEnd-to-end support on a single unified platform

Broad

Deep

High Speed

SimpleReal-Time

Complex and interactive questions on granular data

Big data, many data types

Fast response-time, interactivity

No data preparation, no pre-aggregates, no tuning

Recent data, preferably real-time

Tw

ee

ts


Enabling real-time operational intelligence across business processes

Accelerate business decisions

Automate decisions and responses

Innovate business processes

Lower TCO

SAP HANA


SAP HANA Live for SAP Business SuiteThe operational analytics engine for best-run businesses

Derive new business value with the most proven and modernsuite of applications

Empower people to decide and act in the business moment

Simpler

Drive your business at the speed of the market

Faster

Unlock new growth opportunities before your competitors do

Smarter


The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP. This presentation is not subject to your license agreement or any other service or subscription agreement with SAP. SAP has no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation and SAP's strategy and possible future developments, products and or platforms directions and functionality are all subject to change and may be changed by SAP at any time for any reason without notice. The information in this document is not a commitment, promise or legal obligation to deliver any material, code or functionality. This document is provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement. This document is for informational purposes and may not be incorporated into a contract. SAP assumes no responsibility for errors or omissions in this document, except if such damages were caused by SAP´s willful misconduct or gross negligence.

All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions.

Legal disclaimer

Thank You!

Contact information:

John ZwackSr. Director Platform & Analytics [email protected]

12

Getting Started with BI Analytics on HANA

August 28, 2013

13

Agenda

HANA Overview

HANA Integration with BI Analytics tools

Implementation and Deployment Options

HANA Implementation Components

Development Demonstration

Questions

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“ Big data will spell the death of customer segmentation and force the marketer to understand each customer as an individual within 18 months or risk being left in the dust “

– Ginni Rometty, CEO, IBM

“Being locally relevant has always been the core of success in retailing, going back 100 years to the town general store whose owners knew what their customers wanted, liked and would like to try. Social is like the ultimate customization vehicle, giving us back the local relevance we had lost in trying to get scale and lower cost. It makes that era of 100 years ago really possible again.”

– Stepen Quinn – CMO, Walmart

“ It used to be top down. Where companies would go out and conduct a survey and collect data. Now we are walking around with devices that log everything we like, picture we take, store we visit. You don’t have to go out and find data. It is now coming and finding us. “

– Jake Porway – National Geographic

15

What is SAP HANA?

SAP HANA is a data source agnostic database

In Memory Analytics Historical View

TREX, Live-Cache, BWA (NetWeaver)

Real-Time Data Operational (ECC or Custom)

SAP NetWeaver BW on HANA (near real-time)

Predictive and Text Analysis

Big Data Large volumes of data

Structured and Unstructured

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SAP HANA Is not..

Reporting Tool BI Suite is the presentation layer for SAP

ETL Tool SAP Business Objects Data Services or other ETL tool

needs to extract, transform and load the data into HANA

Data Modeling Tool SAP HANA Studio

SAP Information Composer

SAP HANA is not BW

SAP HANA is not another functional module of ERP

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SAP HANA on AWS Architecture

18

SAP HANA and Integration with end users

19

HANA Implementation Options

3 primary architecture options: HANA Standalone

New HANA installation (acts as appliance solution)

Variety of source options

Resolves a specific solution or multiple solutions

AWS

BW on HANA Improve performance of current BW system

Create a secondary BW system that runs on HANA for specific solutions

SAP Business Suite on HANA ERP solution

Possible future merge OLTP and OLAP solutions

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HANA Deployment Options

On Premises HANA Appliance on premises

Cloud AWS

SAP HANA One

SAP HANA One Premium

SAP HANA Developer

Pay as you go

SAP Enterprise Cloud BW on HANA

Business Suite on HANA

HANA Standalone

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SAP HANA - Modeling

Overview Definition of Tables and Views

Attribute, Analytical and Calculation Views

New terminology (attribute, measure)

SAP HANA Studio Central SAP Developer tool

Administration of the data model

Information Composer Easy to use Web based interface

Power Users

2 main functions, Upload and Compose

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SAP HANA – Extraction, Transformation, Loading

4 Main Data Provisioning tools SLT – SAP Landscape Transformation Tool

ERP Integration – real time

Non-SAP data – near real-time

SAP Business Objects Data Services SAP acquired during Business Objects acquisition

Non SAP and Non BW systems

Sybase Replication Server Real-Time replication

No Transformations

Direct Extractor Connection(DXC) Leverage BW DataSources from ECC

Microsoft Excel Flat Files

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SAP HANA – Presentation Layer

SAP BusinessObjects Dashboards (Xcelsius)

Web Intelligence

Explorer

Analysis

Design Studio

Crystal Reports

Lumira

BI Launch Pad - Portal

Presentation Layer Connectivity JDBC vs. ODBC

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SAP HANA Stand alone Implementation Example Steps

Determine Deployment option

Determine SAP HANA size and attain licenses

Determine presentation BI Tool and attain licenses

SAP HANA installation and build

Model SAP HANA

Identify and configure ETL tools

Build presentation layer

Release to end users

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SAP HANA Use Case

Social Media Millions of records that occur daily

How can we harness this type of data and what value can be received by it?

What is the ROI from social media marketing?

Who are the people that are interacting with our social media content, websites, etc…

What type of products are doing the best and what user community is that focus group?

Do we have seasonal products and what are they?

Real time sentiment – who likes and who does not like the product, post or comments?

26

SAP HANA on AWS Architecture for Demo

27

Demo: Getting Started with SAP Analytics on HANA

SAP HANA AWS – Standalone

SAP HANA Studio – Modeling How to create a table

How to create views (attribute and analytic)

Microsoft Excel Flat Files – ETL How to load a flat file

SAP Business Objects WEBI – Presentation How to create a simple Web Intelligence report

SAP BI Launch Pad – Portal Execute report

Simple navigation

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Dickinson + Associates interacts in the following social media mediums:

Facebook

Twitter

Linked In

Dickinson + Associates would like to understand the following metric:

‘Social Connections’ by Age Group and Demographic Subscription = Follow, Like, Subscribe

3 separate pages for each social media medium

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SAP HANA Other Considerations

Predictive Analytics Predict future results

Uses historical and real-time data

Compare relationships, trending

Identify anomalies, forecasting

Business Planning and Consolidation (BPC) Leverages SAP NetWeaver BW on HANA

Text Analysis Social Media likes/dislikes, etc…

Medtronic

RDS Solutions and Accelerators for ERP and BI

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Recommended Material

Fall 2013 free course https://openhpi.de/course/inmemorydatabases

More information on SAP HANA http://www.saphana.com/welcome

https://openhpi.de/course/inmemorydatabases



http://www.saphana.com/welcome



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Dickinson + Associates

Tim Korba

Lead Architect, Business Intelligence

[email protected]

216-577-9676

www.linkedin.com/in/timkorba/

@tim_korba

Robert Jerome

Director, Business Intelligence

[email protected]

703-851-1198

http://www.linkedin.com/pub/rob-jerome/5/589/5b7

@rob_jerome

mailto:[email protected]


http://www.linkedin.com/in/timkorba/

http://www.linkedin.com/in/timkorba/


http://www.linkedin.com/pub/rob-jerome/5/589/5b7

getting started with bi analytics on hana

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