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Archive for September, 2012

A Tale of Two HANA’s

A Tale of Two HANA’s

As SAP sells its Big Data in-memory appliance HANA into its installed based, we are starting to hear some interesting  implementation stories .

The first version of HANA was aimed at the Analytics market for real-time business intelligence applications with the promise of moving SAP BW and then other SAP ERP applications to HANA in subsequent releases.

SAP’s latest release of its Business Intelligence suite, BI 4.0, brought many new features that would integrate and take advantage of HANA’s in memory capabilities. This included a new semantic layer and the universe designer tool known now as the Information Design Tool (IDT) as well as enhancements to Web Intelligence , Xcelsius dashboards, Crystal Reports and Explorer.

So it came as some surprise to me to hear of two recent HANA implementations where SAP actually advised the customers not to use universes , Webi and other BI 4 tools with HANA even though both the clients involved were existing users of BusinessObjects XI 3.1.

The first client that I shall refer to as the “West Coast HANA”had an implementation of BusinessObjects XI 3.1 using Web Intelligence and Xcelsius dashboards. They wanted to use HANA for more real-time business intelligence against large sets of data derived from three different applications (one in the Cloud and two on-premise).   They were told by SAP not to use BusinessObjects universes for fear that too much data would be pulled back that would cause the BusinessObjects server to crash. They were instructed instead to use Explorer without a universe to go directly against the Analytic views of HANA’s  in memory database. This required significant data architecture work on the part of the client and since they wanted granularity of the data, SAP recommended creating a materialized view of the data on top of the Analytic view. This has created some performance issues with Explorer.

The second client who I shall call “East Coast HANA”also had an implementation of BusinessObjects XI 3.1 using Web Intelligence, Desktop Intelligence (that they have almost finished converting to Webi) and a few Xcelsius dashboards. They had purchased HANA specifically for Business Intelligence and planned to use Web Intelligence for their first HANA application. They were warned by SAP not to use Universes at BI 4.0 but the client decided this is the reason they bought HANA so they persisted anyway. The East Coast HANA client designed a new set of Analytic views on HANA to create an in-memory database for BI and then used the BI 4 IDT to create relational universe views on top of the Analytic views. The results were impressive running queries against over 300 million rows of data returning results instantly. Since the client was a long time BusinessObjects user they set limits on rows retrieved and CPU time and they have not had any issues on their BusinessObjects server. Needless to say they are very happy with the results.

This week I was in the UK telling this story to another SAP partner who was very surprised saying that they have been involved in successful HANA implementations using BI 4.0 universes and Web Intelligence.

It appears that universes and Web Intelligence are good for HANA. Maybe that message has just not made it to the US yet.

What do you think you know?

What do you think you know?

My wife was preparing to give a presentation to a group on the effects of chronic pain on depression and she made an interesting point to me that I think is worth sharing.  First of all, she knows a lot more about the brain than I will ever know.  Apparently there are more parts of the brain than one big “gray-smooshy” part; so that was a good reminder of high school biology and I learned something!

After getting me back up to speed on the brain parts she made a point that struck me as very interesting and a bit counter-intuitive.  I had always been told that depression, while it can be caused by many different things, has a single physiological description which is that it is at its core a chemical balance problem.  Basically the monoamine theory (big word, I hope you are impressed!) states that depression is primarily an issue of a chemical imbalance in the brain.

The common anti-depressants in use today; Prozac, Effexor, Wellbutrin, Adderall, etc. all work by manipulating the various chemical concentrations or our brains ability to absorb/connect to them.  This theory first developed the early 1950’s and the resulting pharmaceuticals have been the standard of treatment since then.

There has always been a nagging problem with this theory though.  When a patient takes the medication the brain gets washed with these chemicals almost instantly…so why does it take a minimum of 2 weeks and up to as many as 6 or 8 weeks for a depressed patient to feel better after being treated?

The theory that explains this is basically that the brain has adjusted to the low levels of good chemicals in the past and that the brain needs a proverbial wall broken down before it can be appropriately sensitive them.

As I’m sure you are beginning to guess, there is a new idea which better explains all of this and is causing some second thoughts in the medical world.  First let’s start by describing where this monoamine theory first came from.  In a phrase…they backed into it.  A drug called Reserpine, which was used to treat high blood pressure, also caused depression.  They determined that it shut down the brain’s ability to absorb the good chemicals so it only made sense that these chemicals and the wiring in the brain was the problem.  Around the same time, another drug, Iproniazid was found to cause “euphoria” in patients; this drug takes the brake off of our brains ability to absorb the happy chemicals.  So with these data points, they did some correlating studies and suddenly they have a model which solves depression!

Like many problems in our businesses they found a data point and associated it with a known and like magic a massive industry is created!  Last year in the US we spent over $12 billion dollars on these pharmaceutical solutions to a very real problem affecting 9.5% of all US adults.  For the record, I have no problem with these drugs and the massive and demonstrative decrease in suicides and increase in productivity more than justify the importance that the drug companies have been putting into these medications.  I just disagree with how they got there…and the more than $1 billion spent on advertising last year for one drug alone.

The real problem that I’m bringing up is that new research is showing that the drugs don’t do what we think that they do, or at least not directly.  Certainly they increase the good chemicals in our brains…but it doesn’t appear to make the patient less depressed.  Scientists are proving that the real physiological description of depression is not one of a chemical imbalance but rather that unhealthy nerve-cell connections are being found in the regions of the brain that create our emotions.  Guess what, these antidepressants have an effect here, a side-effect is that they stimulate growth of new nerve cells in this area of the brain after a few weeks of taking the medication.

So to recap, we have a tried and true solution for depression which is based on years of study and research and it is a side-effect.  Yep, we’ve been throwing billion dollars at a “close enough” solution.  Not that it is all bad, but it was still a misguided effort because doctors were tied into believing a correlation and assumption that simply wasn’t what they thought it was and they could have been looking for something with fewer side effects and a more direct positive influence.

So let me bring this back to business intelligence for a second.  The reason for this blog is that I’m seeing more and more cases of people using power BI tools to simply confirm relationships that they already know…or think that they know and understand.  They want the new system to just say the same information…in a different way.  They aren’t looking to challenge any assumptions or currently held beliefs.  One of the huge powers of BI is the ability to find unknown relationships or contrary indicators and yet we don’t use the tools to find them for a myriad of reasons that seem good at the time.

Here is a check list of sorts to see if you are just using your BI investment to tell you what you already know:

  • Does your BI landscape tell us something that we are surprised about more than once a month?
  • Do the change agents (you know, the people no one likes) in your organization seek out your data and access to your tools?
  • Do you change business rules and formulas until the data “looks right”?
  • Do you have reports and dashboards which are designed to disagree with your organization’s business plan?  i.e. shows that the marketing increases don’t increase sales for instance.
  • Do you have someone assigned (and evaluated on their performance) to be a devil’s advocate?

In the end, I think the real question everyone should be asking is that if your entire BI solution has been defined and built to satisfy your current vision, perspective and plans…then not only are you not taking advantage of the investment that you’ve already made in your BI space, but you also have no chance of finding the next paradigm shifting idea and discover that maybe you were off-base all along!

Now this challenge I’m offering isn’t for the faint of heart, think for a second about the doctors who are researching this alternative theory of the biology of depression.  How many friends do you think that they are making?  They are researching to show that this massive industry is off-base and that the billions being spent on these drugs are misdirected.  They are researching to show that everything that we’ve ever known about depression and everything that they were taught since high school health classes is off, that every doctor and scientist working on it was misled by a fundamental bias which they should have been prepared for.  The question is of course, is it worth it?

Upcoming BOUG Meetings

Upcoming BOUG Meetings

Solid and Instant ROI with Dashboards and HTML5 Mobile Dashboards

Solid and Instant ROI with Dashboards and HTML5 Mobile Dashboards
Session

Seeing Beyond Dashboards

Speakers Noe Garcia, Rent-A-Center / Traci O’Brien, Nuvasive / Bryan Baca, InfoSol / Paul Grill, InfoSol
Abstract While dashboards are well known for their data visualization capabilities, many organizations have cleverly and effectively utilized them to provide complete and powerful business intelligence applications.
This session will present and demonstrate multiple customer case studies around truly amazing BI applications created through dashboards that delivered solid ROI and resulted in increased adoption through engaging user experiences.
The case studies, which will be presented by the organizations themselves, will include applications that delivered bursted Web Intelligence content to offline Xcelsius dashboards to a sales force equipped with iPads and a safety analysis BI dashboard application accessing over a million rows of data with incredible response times. There will also be a demonstration of dashboards using Write Back to a database and Alerts and an HTML5 based dashboard application for both the web and mobile devices.
Don’t miss the associated breakout session (on Tuesday, September 11, 2012 2:00 PM – 2:30 PM) to explore how these applications were conceived and developed.
Key Learning Points
  • Find out how organizations are creating BI applications through dashboards; delivering solid and short-term ROI
  • See beyond the data through dashboards using Write Back and Alerts and an HTML5 based application for web and mobile devices.
Categories Dashboarding and Visualization (Xcelsius/Dashboards/Exploration Views/BI Workspaces)
Date/Time Monday, September 10, 2012 2:00 PM – 3:00 PM
Room Number Oceanic 5

Visit us at Booth #104.


Other Sessions:

What is the New SAP BusinessObjects Education Subscription Library Offering All About?

| Monday, September 10, 2012 3:15 PM – 4:15 PM event details

Seeing Beyond Dashboards:  In-Depth Coverage (Part B)

| Tuesday, September 11, 2012 2:00 PM – 2:30 PM event details

Changing the Aluminum Industry One Dashboard at a Time

| Tuesday, September 11, 2012 4:00 PM – 5:00 PM event details

Inspired Business Intelligence 2.0

| Wednesday, September 12, 2012 8:00 AM – 9:00 AM   event details

Everything You Wanted to Know About SAP BO Education and How to Make it Better

| Wednesday, September 12, 2012 10:30 AM – 11:30 AM event details

The SAP BusinessObjects BI 4 Education Buffet

| Wednesday, September 12, 2012 2:45 PM – 3:45 PM event details


Visit us at Booth #104 at ASUG 2012

Visit us at Booth #104 at ASUG 2012

InfoSol Butterflies contributing to Charity Water’s September Campaign

InfoSol Butterflies contributing to Charity Water’s September Campaign

UPDATE:  It’s not too late – our campaign runs through the end of December.

Charity Water is a non-profit organization bringing clean, safe drinking water to people in developing countries. 100% of all public donations directly fund water projects, and they prove every dollar using photos and GPS coordinates on a map.

“Because water changes everything”, InfoSol has chosen to contribute to this effort by pledging to raise $5000 towards this cause with our InfoSol-Butterflies  campaign .

We would love it if you can help us reach our goal to deliver clean water to those in need by donating at mycharitywater.org/infosol-butterflies.

 

InfoSol ASUG Challenge

if, 100% is not enough to convince you, during the week of ASUG (September 10th to 13th + 1 day for good measure), InfoSol will match each dollar you donate doubling your contribution!  It’s like having 200% to fund water projects… In BI terms, that’s a metric that makes sense.

Every drop counts… you can make a difference.  Help us reach our goal to deliver clean water to those in need by donating at mycharitywater.org/infosol-butterflies.