The document summarizes a presentation on predictive analytics given by Mike Watschke from SAP. The presentation covered:
- SAP's predictive analytics solution which automates data preparation, modeling, and deployment tasks.
- Questions from the analyst about whether SAP sees in-memory technology as critical, whether it has its own data preparation technology or partners, and whether the capability works with cloud, Hadoop, and streaming data.
- Upcoming topics for future briefing room presentations, including business intelligence/analytics in March, big data in April, and cloud in May.
3. Twitter Tag: #briefr The Briefing Room
Welcome
Host:
Eric Kavanagh
eric.kavanagh@bloorgroup.com
@eric_kavanagh
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Reveal the essential characteristics of enterprise
software, good and bad
Provide a forum for detailed analysis of today s innovative
technologies
Give vendors a chance to explain their product to savvy
analysts
Allow audience members to pose serious questions... and
get answers!
Mission
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Topics
March: BI/ANALYTICS
April: BIG DATA
May: CLOUD
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Simple is Hard
Ø Context, Context, Context!
Ø Smart Workflow + Good UI = Success
Ø Self-service requires serious design
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Analyst: Robin Bloor
Robin Bloor is
Chief Analyst at
The Bloor Group
robin.bloor@bloorgroup.com
@robinbloor
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SAP
SAP develops enterprise software for business operations
and customer relations
Its suite of products includes analytics, data management
solutions, application lifecycle management, business
intelligence and mobile development
SAP’s Predictive Analytics solution automates data prep,
modeling and deployment tasks
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Guest: Mike Watschke
Mike Watschke is Senior Director, Predictive
Center of Excellence, SAP. Mike provides
support for SAP’s Predictive Analytics portfolio
on a global team chartered with ensuring
customers understand use cases, product
vision, and the business value of Advanced
Analytics. Mike’s tenure in analytics spans
over 15 years at SAP, Oracle, and PeopleSoft.
@MikeWatschke
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Perceptions & Questions
Analyst:
Robin Bloor
12. Parallelism
Parallel architectures and technology
have accelerated everything
This is having a PROFOUND IMPACT across
the whole spectrum of BI and analytics
13. The Biological System
u Our human control system
works at different speeds:
• Almost instant reflex
• Swift response
• Considered response
u Organizations will
gradually implement
similar control systems
u This suggests a data-flow-
based architecture
15. The Emerging Data Flow
Other
EDW
Hadoop
Data Streams
Data Sources
Data
Real-Time
<0.1 secs 0.1 sec to 15 sec 15 sec to 15 mins 15 min to daysVariable Variable
Human Time In Time WheneverData Prep
Operational
Activity
Research
Activity
Data
Exploration
Machine
Learning
Algorithmic
Analytics
MDM
Cleansingetc.
Cleansing
Metadata
MGT
Predictive
Analytics
Real-Time
Alerts
Real-Time
Apps
Predictive
Analytics
Alerts
Interactive
Apps
Dashboard
Drill-down
User
Portal
16. Predictive Analytics
One way to think of predictive
analytics is to think of it as
NEURAL
It is an accurate analogy
17. u Does SAP see in-memory technology as critical to
implementing predictive analytics?
u Does SAP have specific data preparation
technology, or is that a partner arrangement?
u Is this predictive capability cloud-neutral?
u Is the capability Hadoop-agnostic?
u Where does streaming fit into the picture?