agile analytics presentation, uk sap innovation forum 2016
TRANSCRIPT
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Agile Analytics for theDigital Economy
Internal
Timo ElliottInnovation EvangelistFebruary 2015
@timoelliott
2
Agenda
IntroductionAnalytics at the heart of modern business
The Agility of Cloud Analytics Cloud for Analytics & Digital Boardroom
The Power of Advanced AnalyticsPredictive, Geo, IoT, etc.
@timoelliott
BI and Analytics is the #1 Technology Priority for 2016 and beyond
Rank Technology Trend
1 BI/Analytics2 Cloud3 Mobile4 Digitalization / Digital Marketing5 Infrastructure & Data Center6 ERP7 Security8 Industry-Specific Applications9 Customer Relationships10 Networking, Voice, and Data Communications
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Analytics Takes Over The World…
@timoelliott
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By 2020, information will be used to
reinvent, digitalize, or
eliminate 80%of business processes and products
from a decade earlier.
From The Back Office To The Business Models of Future
”
“
@timoelliott
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IT Craftsmanship IT Industrialization Digitalization
IT provides innovations and new
capabilities
IT supports efficiency, effectiveness, and
integrity
Engage
Offer
Monetize
Adapt
Create
Ideate
Digital provides continual opportunities for growth, innovation,
and differentiation
The Third Era of Information Technology
@timoelliott
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Enterprise Data Remains One of The Top Strategic Projects
IDC Futurescape: Worldwide CIO Agenda 2015 Top 10 Decision Imperatives@timoelliott
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Digital Business and the Rise of the CDOs
@timoelliott
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Information Is Money
By 2016, 30% of businesses will have begun directly or indirectly monetizing their information assets via bartering or selling them outright
– Gartner 2015
”“
@timoelliott
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Cloud Analytics
@timoelliott
It’s not Pie in the Sky!
Cloud Analytics
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Your BI Data ISN’T In Your Corporate System
“We found, on average, that 45% of the data business people use resides outside of the enterprise BI environments.
An astonishingly miniscule 2% of business decision-makers reported using solely enterprise BI applications.
This is undoubtedly connected to 76% of business respondents indicating they continue to resort to spreadsheets and other homegrown BI applications to analyze BI data. ”
Source: Forrester
55%
45%
In enterprise systemsNot in enterprise system
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Others Are Investing
36%Already replaced or planning to
replace with SaaS BI
within the next 2 years
Source: "Application Adoption Trends 2015: The SaaS Boom Continues As Businesses Demand Agility“. Forrester
31%Already complementing or planning to
complement with SaaS BI
within the next 2 years
56%Agility
14%Cost
13%Innovation
10%Quality
7%Other
5%Financial
Source: Gartner CIO Survey, 2014
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Bringing it All Together
ETL DW Q&R, Data
Discovery
Predictive Planning Other (spatial,
etc.)
Data Visualization
Operational Reporting
Enterprise Data Big Data
Innovate the core Lead the Cloud
Our Product Strategy
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Disclaimer
This document contains confidential or proprietary business information. If you have received this document in error, you are hereby notified that any review, copying, or distribution of it is strictly prohibited. This document is governed by the terms of the SAP partner agreement, including the partner confidentiality obligations and any unauthorized disclosure will be deemed a violation thereof. The information in this document is provided solely for use within the scope of the partner agreement or as expressly authorized by SAP. It is subject to changes at any time. No part of this material may be reproduced or transmitted in any form or for any purpose to third parties. This document contains informational material and among others things is opinion derived from SAP and industry analyst research, methodologies, intended strategies and experience. SAP assumes no responsibility for errors or omissions in this document. SAP does not warrant the accuracy or completeness of the information, text, graphics, links, or other items contained within this material. 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.
SAP shall have no liability for damages of any kind including without limitation direct, special, indirect, or consequential damages that may result from the use of these materials. This limitation shall not apply in cases of intent or gross negligence. The statutory liability for personal injury and defective products is not affected. SAP has no control over the information that you may access through the use of hot links contained in these materials and does not endorse your use of third-party Web pages nor provide any warranty whatsoever relating to third-party Web pages.
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 the date specified or the date of this document.
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On-premise and/or Private Cloud Deployment Options
Continued investment in existing solutions
Provide new SaaS Analytics capabilities
SAP Cloud for Analytics
All analytics capabilities in one product
Consumer-grade user experience
Embedded and standalone
High-performance, real-time platform
Software-as-a-Service in the Public Cloud
Agile Visualization
SAP Lumira
Lumira 1.29
Advanced Analytics
SAP Predictive Analytics
Predictive Analytics 2.4
Enterprise BI
SAP BusinessObjects BI Suite
BI 4.2Design Studio 1.6Analysis Office 2.2
EPM
Ex. SAP Business Planning and Consolidation (BPC)
BPC 10.1 NW SP08
GRC
Ex. SAP Risk Management
Risk Management 10.1 SP11
Data Level Interoperability
SAP Analytics StrategySAP Digital Boardroom
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SAP Lumira: Agility for Business Users Cross Tabs
Data Wrangling & Blending
Location Analytics
Trust: Lumira in BI Platform• Secure & distributed deployments• Server side refresh for BW, UNX, FHSQL incl. prompt
dialog• Hana Online connectivity• Edit visualizations & stories• Scheduling: Universe & BW sources using saved
prompt values• Promotion Management
Data Discovery & Agility• Data wrangling and blending• Sampling & scheduling on Hadoop enhancement• Conditional formatting in crosstab, column, bar, line &
pie charts• Interactive stories & infographic design
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SAP Cloud for Analytics
Cloud Data Sourcesand Applications
On-Premise Data Sources and Applications
Data Connectivity & Modeling
Visualization & Stories
Collaboration & Events
Auditing & Monitoring APIs
PlanningPlanningAllocation
BIExploration
Predictive*Forecasting
Segmentation
GRC*Access Controls
EmbeddingAnalytics into Applications
SAP Digital Boardroom
HANA Cloud Platform
Core Capabilities
Analytic Capabilities
Administration & Security
Vertical AppsApplications
* Planned
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SAP Cloud for Analytics Modern UI
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SAP Cloud for AnalyticsDemonstration
Securely Connect to Your Data In The Cloud AND On-Premise
SAP Cloud for AnalyticsWeb Client running in browser
S/4HANA
Public Cloud
BW
HANA
External data via HANA Smart Data Access
Public Cloud data sources
Data Connector
On-Premise System
Local Network
SAP Cloud for AnalyticsPlatform and Content Repository
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Instant data-driven insightsAnswer ad-hoc questions on-the-fly
Supports the current agenda topic
Details on the current agenda story
Details on the current agenda story
Overview Screen Main & Exploration Screen Context Screen
Click to Explore
Answer a detail question from the audience…
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SAP Digital BoardroomDemonstration
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Advanced Analytics@timoelliott
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Business Intelligence Advance Analytics & Predictive Analytics
Report
OLAP
Dashboard
Segmentation
Associations
ScoringForecast
Which products have been sold?Who bought them?
Who are our customers?Which products where sold together?
Which customers are going to buy our products?How many products are we going to sell?
Past / Present FutureAggregated data Detailed data
From Business IntelligenceTo Predictive Analytics
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Acquisition targetingChurn reduction
Cross Sell / Up SellWinback campaigns
Viral campaignsSegmentation
CRM
Risk
Fraud
KPI forecastingAnomaly detection (QA)
Usage forecastingPredictive maintenance
Credit scoringCollection Crime/Terrorism
Money launderingCredit card fraudOnline gaming fraudInsurance fraud
CustomerRelationship Risk
FraudOperations
Examples of Predictive Analytics Applications
@timoelliott
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Predictive Analytics Has Proved its Worth
68% of organizations that used predictive analytics realized a competitive advantage
52% use predictive analytics to increase profitability
55% use predictive analytics to create new revenue opportunities
45% use predictive analytics for customer services
43% use predictive analytics for product recommendations
Ventana Research@timoelliott
More Predictive is the #1 Analytic Intention of Organizations
Source: TDWI@timoelliott
Biggest Challenges
Not enough skills or expertise
Source: TDWI@timoelliott
Predictive Moves To Business Users
“TDWI Research has uncovered a shift occurring in the builders of predictive models. Whereas in the past the builder was a statistician or other quantitative person, a current market move involves the business analyst in building models.”
@timoelliott
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Potential impact per user
Potential user base
The Rise of the Citizen Data Scientist
Business analyst
Data scientist
Citizen data scientist
@timoelliott
Making It More Operational
@timoelliott
Real-Time / Prescriptive
“Much of the market is not yet mature enough to implement real-time actions or take action on real-time events”
Fern Halper, TDWI“Next Generation Analytics Platforms”
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Centerpoint Energy
What Pipes?
Type 1
Type 2?
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Lufthansa Systems LIDO
Lufthansa integrateddispatch operations
@timoelliott
Catch Medical Problems Before They Become Crises
Early Sense
EarlySense uses the SAP HANA Cloud Platform to store, analyze and display information from wellness sensors that slide under the mattress and track heart and respiratory rates and motion to improve proactive patient care
@timoelliott
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SAP HANA VoraWhat’s Inside and What Does It Do?
DemocratizeData Access
Make PrecisionDecisions
SimplifyBig DataOwnership
SAP HANA Vora is an in-memory query engine which leverages and extends the Apache Spark execution framework to provide enriched interactive analytics on Hadoop. Drill Downs on HDFS
Mashup API EnhancementsCompiled Queries
HANA-Spark AdapterUnified LandscapeOpen Programming
Any Hadoop Clusters
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Thompson Reuters — Polling Explorer, powered by HANA
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Agenda
IntroductionAnalytics at the heart of modern business
The Agility of Cloud Analytics Cloud for Analytics & Digital Boardroom
The Power of Advanced AnalyticsPredictive, Geo, IoT, etc.
@timoelliott
HANA Cloud Platform
(Micro-) Services
IoTPlatform
IoT
Suite
Applications
S/4HANA
PlatformHANA Platform
Data Management | Application | Analytical | Experience Services Design & Development | Security | Management
VORA
any DB Hadoop
Digital BoardroomIcon
BI Platform & EPMBusiness
Warehouse
Analytics
Applications
Extensions
AnalyticalApplications
The Big Picture
