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Understand Customer Needs for HANA Analytics – Analytics 3.0 – Webcast Summary

Understand Customer Needs related to SAP HANA Advanced Analytics: I watched this webcast today from SAP.  I missed the first few minutes of the presentation.


Figure 1: Source: SAP

Figure 1 shows we’re towards the end of Analytics 2.0 “Big Data”

Now we are looking to Analytics 3.0 which provides “real impact to businesses”


Figure 2: Source: SAP

On Figure 2, the SAP presenter said there is a “talent shortage of data scientist” and  a high learning curve

During this time, this tweet came in:

This shows the job board for a data scientist from the Strata Conference this week.

A data scientist spends 60-80% of his/her time collecting data sources and less on analyzing the data.


Figure 3: Source: SAP

Figure 3 shows the 4 “pillars for decision processes”

As an example, a CRM person is on the phone with a customer, will get a lead score, to close a deal; this brings data close to decision making

This helps predict/act/optimize

“Bring computing to where the data is”

SAP has an open ecosystems – partnerships with SAS


Figure 4: Source: SAP

Figure 4 shows PAL algorithms which include native MPP (massive parallel processing) with classic data mining algorithms and are available where data lies

You can also connect to R packages

It includes unstructured data processing


Figure 5: Source: SAP

eBay uses HANA for data marts for their marketplace, showing the number of hits, what people are buying and what people are bidding.

Data needed to be “crunched”.  This used to take 4-5 days

If there were changes to Google search engine, it took a day to find a problem and 4-5 days to figure out how to fix

After using HANA, same processing using time series and linear regressions went down to 3 hours; so they went from 4 to 5 days to 3 hours

The speaker suggested visiting

Idea Incubator

The idea incubator was the next topic covered.  This is a crowd-sourcing program from SAP.


Figure 6: Source: SAP

Some customers are looking at social media based on stock price change and want the social media feedback

What social media will impact the stock the most?

Can a real-time prediction be made from stock change?


Figure 7: Source: SAP

There are two types of innovation as shown in Figure 8:

1) Open – like a hack day

2) Other site is closed innovation

Question & Answer

Q: What is the most popular HANA function for ideas?

A: Most popular idea is text analytics – social media and comments

Another one is predictive analysis

Q: Where can I learn about HANA

A:  Go to

Q: I want to test an idea and not sure I am allowed to share data with strangers

A: three different ways – 1) hide customer data  2) simulated data 3) invited innovation – evaluate people before share

Related Information:

BI 2014 which is co-located with HANA 2014 next month in Orlando

Share your HANA story – Win 4 Tickets to SAP d-code(formerly SAP TechEd) by Rukhshaan Omar

ASUG Annual Conference will have customer stories about Predictive with HANA

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