These are my notes from today’s call.

First, a poll:

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Source: SAP

53% of attendees on today’s webcast are not using SAP Predictive Analytics.

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Source: SAP

The first speaker was Sven Bauszus, SAP.  He said nothing is stronger than an idea whose time has come, and it was “time for a predictive analytics solution” due to simplicity, ease of use, productivity.  Why now?  He mentioned the 4 V’s of big data, and competition, insights, predict and act in time.  He also said it was “not just for statistical experts”.

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Source: SAP

The figure above shows how Analytics needs to evolve, with requirements for predict and act

Why did it happen, while will it happen

How can we make it happen?

Predictive Analytics take a step further by taking action

Descriptive is part of predictive analytics

“What is the point of doing predictive analytics if you don’t integrate into your operations?”  So prescriptive is needed too.

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Source: SAP

Big data goes main stream

More companies leverage data asset

68% of those who use advanced analytics have a competitive advantage and they reduce operational risk

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Source: SAP

Above shows the use cases for Predictive Analytics

The SAP speaker said this is not a TCO discussion but a quantifiable return on investment, to help increase in accepting customer offers

Retailer in 1K stores was able to improve sales forecasting and exploit hidden revenue potential, slash inventory costs; builds 500 predictive models a month – models built for shelf planning, store clustering, sales and purchasing planning – 82% accuracy in forecasting, with 10 times more categories than before

The “need for speed” was mentioned with the “Business potential is huge”

Predictive maintenance helps predict when failure occurs, tasks for monitoring for future failure so maintenance occurs before failure occurs to prevent unplanned maintenance

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Source: SAP


The first speaker summarized the above with “democratizing predictive analytics” and support real time



Question & Answer

Q: We have many predictive in market, what is so unique about predictive analytics?

A: Combine predictive automation, full support of in memory database scoring, reduces need for data movement

Predictive platform has scoring engine on the back end

Easy to use

Focus on rapid deployment

Q: I am existing BI customer, how can I leverage Predictive & skills on my team?

A: Technology is seamlessly embedded with portfolio

Q: What advantages of Predictive Analytics using SAP HANA

A: In-memory capabilities of HANA; take advantage of power speed and real time of HANA

Predictive Analytics does not require SAP HANA

Part 2 will post soon.

Reference:

BI pre-conference session at ASUG Annual conference

Monday, May 4. (extra registration fees apply).

Featuring Hands-on SAP BusinessObjects BI 4.1 w/ SAP NetWeaver BW Powered by SAP HANA – Deep Dive

See details here: http://bit.ly/ASUGPreConBI

Focus on Analysis Office, Lumira, and Design Studio. You get to work with these for 7 hours! Full day BI workshop. Limited to 30 people. One person per machine (no sharing).

ASUG BI Annual Conference Schedule with Abstract Links

Also see Upcoming ASUG Business Intelligence Community W… | ASUG

At ASUG BI Annual Conference 2015 Schedule | ASUG there is an Excel version of the grid schedule – also see ASUG BI Schedule 2015.xlsx | ASUG

Also some upcoming ASUG Predictive Analytics webcasts are listed below:

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