Web Intelligence And Big Data Homework 6-9

An understanding for how your BI Platform is used and utilised will enable you as a BI Platform Administrator to take the necessary steps to improve its reliability, performance and adoption within your organisation.

 

The Auditing database coupled with a new comprehensive Universe and a set of Web Intelligence documents that I have developed will help give you that insight you need and this is what I’d like to share with you now.

 

My Universe and documents have been in development, on and off, for some time but they have now reached a maturity level where I’m happy to share them with a wider community.

 

I’m overall pretty happy with the Universe and the documents, however they need a little performance testing on large data sets. This is where you can help me, help you!

 

Please download my latest ‘build’ (available for a limited time) and give them a blast. They are provided ‘as is’. I’m looking for feedback on any defects, performance issues and also additional reporting/business requirements. If you can get back to me with your feedback I can improve the content for everyone else to benefit.  I may occasionally published a newer ‘build’ in the same container, so check every now and then for an update.

 

Once I’m happy with the amount of feedback and testing I will make the Universe and documents more widely and permanently available.

 

I have ported the universe to various databases and is currently available for:

  • SAP HANA
  • Microsoft SQL Server
  • Oracle
  • SQL Anywhere
  • DB2 (added 18/11/2015. Limited testing, please expect some issues!)

Feedback on which database I should next port to would be helpful too!

 

There’s a large set of documents, each with a number of ‘reports’. The number of reports ranges from 1 to over 50 within a single document. So you can see I’ve been busy! They will take you some time to go through them all.

 

Here’s a list of documents:

1.     STA1 – Start here – Events over time.wid

2.     FRA1 – Fraud Detection – 1 machine more than 1 user.wid

3.     FRA2 – Fraud Detection – 1 machine more with multiple logon failures.wid

4.     LIC1 – License – 1 user more than 1 machine.wid

5.     LIC2 – License – Periods when sessions exceeded X.wid

6.     LIC3 – License – Users no longer using the system.wid

7.     LIC4 – License – Users unable to login due to lack of Concurrent license.wid (added 20/11/2015)

8.      LIC5 – License – Periods when named users exceeded 10 (added 25/11/2016 – download as a separate LCMBIAR file)

9.     SYS1 – System – Event Log.wid

10.     SYS2 – System – Delay in Recording of events to Audit Database.wid

12.     SYS3 x1 – System – Overall System Load Analysis (without Mode).wid

          SYS3 x2 mi – System – Overall System Load Analysis (Mode is Interactive Only).wid

          SYS3 x2 ms – System – Overall System Load Analysis (Mode is Scheduled Only).wid

          SYS3 x4 – System – Overall System Load Analysis inc Mode.wid

12.     SYS4 x1 – System –  Refresh Analysis (Mode is Interactive).wid

          SYS4 x1 – System – Refresh Analysis (Mode is Scheduled).wid

          SYS4 x2 – System – Refresh Analysis (inc Mode).wid

13.     USA1 x1 – Usage – Session Analysis.wid

          USA1 x15 u – Usage – Session Analysis (With Users, Without Mode).wid

          USA1 x2 mI – Usage – Session Analysis (Mode is Interactive Only).wid

          USA1 x2 mS – Usage – Session Analysis (Mode is Scheduled Only).wid

          USA1 x30 umI – Usage – Session Analysis (With Users) (Mode is Interactive Only).wid

          USA1 x30 umS – Usage – Session Analysis (With Users) (Mode is Scheduled Only).wid

          USA1 x4 m – Usage – Session Analysis (With Mode).wid

14.     USA2 – Usage – Large number of Data Providers.wid

15.     USA3 – Usage – Documents no longer used in the system.wid

16.     USA4 – Usage – Universe Objects usage. Identify infrequent used objects.wid (see defect list below)

17.     USA5 – Usage – Universes no longer used.wid

 

Each document has an ‘About’ page that provides a few more details on its purpose.

The Universe is, of course, documented within itself. Every description box has a description! However I’ve not yet written supporting documentation for either the universe or the Web Intelligence documents. Feedback from you on what I should explain would be great!

 

Requirements:

  • BI Platform BI 4.1Support Pack 5 or greater for the Web Intelligence Documents.
  • BI Platform BI 4.1.x (or greater) for the Audit database to be queried

This means BI 4.2 meets these requirements.

 

Instructions

  1. Download the content (take the highest build numbered zip file)
  2. Import one of the five ‘Universe’ LCMBIAR files into your system using Promotion Management (it will go into “BI Platform Auditing” folder)
  3. Import the Web Intelligence LCMBIAR file (it will go into “BI Platform Auditing” folder)
  4. Edit the connection that is imported (in “BI Platform Auditing” folder) with the correct login credentials.
  5. Open the Web Intelligence document ‘STA1 – Start here – Events over time.wid’ as your starting point!

 

Webinar

 

 

Please post your feedback here and I will do my best to comment back as soon as possible.

 

Matthew Shaw

Twitter: @MattShaw_on_BI

Current defect in my Audit Universe and Web Intelligence documents:

Current defects in capturing of the Audit events (not a defect in the Universe or Web Intelligence documents, though it will impact them)

Other changes planned.

 

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 With this Business Intelligence teams are able to provide more accurate and real-time inventory, pricing, sales and return data as well as predicting ideal floor plans.  Green Mountain Coffee, Vermont uses calibrio analytics to glean insights from multiple  interaction channels and data streams. With this technology, they can analyze data and  get feedback from customers and now they are able to deliver more reliable products.  AutoZone is using a Software called NuoDB to maintain their inventories across all their  stores. QUESTION 3 :  Why did the companies described in this case need to maintain and analyze big data?  What business benefits did they obtain? How much they were analyzed using big data? Answer: I think  Sears  needed to maintain and analyze big data because previously they have seen a hug  loss for not maintaining the data properly. As sears cost structure is very high, they must maintain this big data in order to overcome several issues they faced. It almost faced a loss of $1.4 billion in 2013.

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