SAP’s vision and strategy on BI & BIG (and small) data

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Waldemar Adams | Vice President BI Europe, Middle-East & Africa | @adamsw SAP’s vision and strategy on BI & BIG (and small) data Zaragoza, May 2014

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AUSAPE SAP Spain User-Conference keynote

Transcript of SAP’s vision and strategy on BI & BIG (and small) data

Page 1: SAP’s vision and strategy on BI & BIG (and small) data

Waldemar Adams | Vice President BI Europe, Middle-East & Africa | @adamsw

SAP’s vision and strategy on BI & BIG (and small) data Zaragoza, May 2014

Page 2: SAP’s vision and strategy on BI & BIG (and small) data

Analytics

Analytics Analytics

Business Applications

From Gartner Summit, London

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Analytics

Analytics Analytics

Business Applications

Business Applications

Business Applications

Business Applications

Analytic Capabilities

From Gartner Summit, London

Promise of BIG data

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©  2014 SAP AG. All rights reserved. 4

High Performing Companies 50% More Likely to use Analytic Information Strategically

Have significant decision-support/ analytical capabilities

Value analytical insights to a very large extent

Have above average analytical capability within industry

Use analytics across their entire organization

Low Performers High Performers

Source: High Performing companies out-perform their industry in terms of profit, shareholder return and revenue growth. Competing on Analytics, Thomas Davenport

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10%

75%

Use Analytics Today

Need Analytics by 2020

Nucleus Research, Gartner, Fortune Magazine

Unlocking the value of “Dark Data”

Ability to manage and consume all data is getting harder

Not utilizing all the information out there

Not leveraging the power of collective insight

Missing new insights IT is not agile enough and the business wants to get involved

=

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©  2014 SAP AG. All rights reserved. 6

Graphics: grasundsterne GmbH

Cloud

Mobile

Analytics?

Analytics?

Analytics?

Analytics?

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©  2014 SAP AG. All rights reserved. 7

Graphics: grasundsterne GmbH

Cloud

Mobile

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Big data

In-memory

Analytics

challenge

technology

use-case

SAP HANA product

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©  2014 SAP AG. All rights reserved. 9

Graphics: grasundsterne GmbH

Cloud

Mobile

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©  2014 SAP AG. All rights reserved. 10

Cloud

& BI as MCaaS

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©  2014 SAP AG. All rights reserved. 11

Mobile MoBile

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How analytics need to evolve to deliver collective insights

Raw Data

Cleaned Data

Standard Reports

Ad Hoc Reports &

OLAP

Agile Visualization

Predictive Modeling

Optimization

What happened?

Why did it happen?

What will happen?

What is the best that

could happen?

Use

r Eng

agem

ent

Maturity of Analytics Capabilities

Self Service BI

Generic Predictive Analysis

End-to-end Easy adoption

Fast implementation Business focused Enable storytelling

Col

lect

ive

Insi

ght

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Unleashing the power of Collective Insight

ENGAGE PREDICT VISUALIZE

Real-time Platform (=BIG & small data)

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Imagine the potential…

:-) Brand Sentiment

360O Customer View

Product Recommendation

Propensity to Churn Real-time Demand/ Supply Forecast

Predictive Maintenance

Fraud Detection

Network Optimization

Insider Threats

Risk Mitigation, Real-time Asset Tracking Personalized Care

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Analytics solutions from SAP

Agile Visualization

Advanced Analytics

Big Data

Mobile

Collaboration

Cloud

Enterprise Business Intelligence

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Enterprise Business Intelligence Rapidly connect individuals, data and processes to understand the business and drive better decisions

ENGAGE

A complete view that drives better decision making

Lowest cost for providing information to the entire organization

Increased engagement, quality, participation and knowledge

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BI 4.1: engage with all of your data

Compelling BI Apps Anytime Anywhere

Design once for mobile and desktop users

Powerful design capabilities

Fully customizable and extensible

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Agile Visualization

Agile Visualization

Advanced Analytics

Enterprise Business Intelligence

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Understanding available data – big or small

Finding answers to questions in no time – using iterative data exploration

65% of information is remembered by people 72 hours after exposure when a picture is added

Your Brain is Wired for Visuals

30% of the cortex is devoted to neurons processing visuals

It takes only 150ms for the human visual system to process a complex natural image

100101 011010

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Discover hidden patterns in information

Users can intuitively explore, understand, and present data to make better decisions

Analytics reach the fringes of the organizations

Agile Visualization Intuitively explore and present data to reveal new insights at-a-glance

VISUALIZE

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SAP Lumira: Agile Visualization Innovations

Crisp HTML5 user experience

Storytelling with data

Free personal edition

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Advanced Analytics Enterprise

Business Intelligence

Agile Visualization

Advanced Analytics

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Challenging to detect meaningful signals in big data

Severe analytics skills shortage 50-60% shortfall for

experienced data analysts Dun & Bradstreet and McKinsey Global Institute analysis

86% of organizations that used predictive realized a competitive advantage

Sense and respond are no longer enough

Difficult to apply predictive algorithms to anticipate business trends

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Predictive results incorporated into more applications and processes, for more users

Bridges the skills gap between human experts vs. analytical experts

Predict and act in real-time

Advanced Analytics Confidently anticipate what comes next to drive better business outcomes

PREDICT

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Unleash your Collective Insight today Engage SAP in a Design Thinking Workshop Today

sapbusinessobjectsbi.com sap.com/predictive saplumira.com

ENGAGE PREDICT VISUALIZE

Real-time Platform saphana.com

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Success with BI Academy https://www.sapbusinessobjectsbi.com/bi-academy/

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Get started for yourself!

New  flavor  of  BI  with  SAP  Lumira  &  Mobile  BI  1  

Try  it  with  your  own  data!    Personal  EdiBon  sap.com/trylumira  +  free  download  from  app  store    –  search  for  “businessobjects”    

2  

…  even  in  the  cloud  https://cloud.saplumira.com Simple registration, 1 GB of free storage, mobile enabled

3  

ü  

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Thank you Contact information: Waldemar Adams VP Business Intelligence EMEA @adamsw [email protected]

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©  2014 SAP AG. All rights reserved. 29

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