So Oracle did not make it to the Magic Quadrant for Business Intelligence and Analytics Platforms?

MQ for BI & Analytics - 2016Earlier this month Gartner released a new version of the Magic Quadrant for Business Intelligence and Analytics Platforms. This release has caused a lot of noise in the Analytics Market. Vendors have changed quadrants or even disappeared completely (eg. Oracle).

Traditionally, the Analytics Market is characterized by IT-led buying. Over the last years there is a transition ongoing towards Business-led buying. IT-led buying focusses on governance, consistency and scalability. Business-led buying on the other hand has a focus on speed and discovery.

So why did Oracle disappear from the Magic Quadrant? Oracle and Gartner have a different view / opinion when it comes to Business Intelligence & Analytics.

Gartner writes the following in their Summary; “The BI and analytics platform market’s multiyear shift from IT-led enterprise reporting to business-led self-service analytics has passed the tipping point. Most new buying is of modern, business-user-centric platforms forcing a new market perspective, significantly reordering the vendor landscape.” 

Oracle’s Business Analytics Product offering focusses on IT as well as the Business. It’s Oracle’s vision to support both to be able to realize the full potential of Analytics.

Since Oracle acquired Siebel, Oracle offers a platform; OBIEE, which supports the IT-led buying. Over the last years Oracle experienced a lot of competition from companies like QlikView and Tableau. These companies have successfully targeted the Agile / Self-Service preferences of the Business. Oracle was not able to compete with these companies. Last year Oracle has launched their Oracle Data Visualization (Visual Analyzer) product. Visual Analyzer is Oracle’s answer to QlikView and Tableau. Now Oracle is able to service both IT as well as the Business.

This is the difference between the view / opinion of Gartner versus Oracle. Gartner focusses in its Magic Quadrant for Business Intelligence and Analytics Platforms on the Business and Self-Service. Oracle focusses both on IT and the Business. Oracle offers OBIEE (IT) and Visual Analyzer (Business) On Premise or BICS (IT) and Visual Analyzer (Business) in the Cloud. 

The confusing thing might be that Gartner shifted its focus to solely Business Intelligence and Analytics for the Business, while the name of the Magic Quadrant still is the same as last year.

For me it is not a matter of right or wrong, but I think it is good to see things in context.

I believe in Oracle’s strategy when it comes to Business Intelligence and Analytics. If necessary or desired, I would be happy to put things in context.

Daan Bakboord

Trying to understand the Oracle Reference Architecture for Information Management

Last month I have been attending the RittmanMead BI Forum 2014. In the wrap-up I mentioned a presentation by Andrew Bond & Stewart Bryson. They had a very nice presentation about the Oracle Information Management Reference Architecture. This needed some further investigation from my part.

This blogpost is a first summary of the information I found online so far.

There is a complete reference library of IT Strategies from Oracle. Pay extra attention to the following docs:

  • Oracle Reference Architecture Information Management
  • Oracle Reference Architecture Business Analytics Foundation
  • Oracle Reference Architecture Business Analytics Infrastructure
  • Oracle Reference Architecture Service Orientation
  • Oracle Reference Architecture Security
  • Oracle Reference Architecture Engineered Systems

IT Strategies from Oracle

Next to that, Oracle has a few White Papers focussing on Information Management (Big Data & Analytics):

Oracle Information Management – Logical View

Let’s take a closer look, see the picture below. This picture has been copied from; the Oracle Information Management Reference Architecture. presentation I mentioned above. There are a few major components in the Reference Architecture

  • Data Sources
  • Information Provisioning
    • Data Ingestion
    • Logical Data Warehouse
  • Information Delivery

While putting together this blog post, Mark Rittman posted the following article(s); “Introducing the Updated Oracle / Rittman Mead Information Management Reference Architecture – Pt1. Information Architecture and the “Data Factory” & Pt2. – Delivering the Data Factory” on the RM Blog.

Oracle Information Management – Logical View

Data Sources

Within this Reference Architecture Oracle should be able to handle all sorts of data:

  • Traditional Enterprise Data (ERP, CRM, etc.)
  • Machine-generated /Sensor Data (Smart Meters, Equipment Logs, etc.)
  • Social Data (Twitter, Facebook, etc.)

Any Data - Any Source - Any Format - Different Data

The last couple of years / decades, Data has changed. We (as BI/DW-Consultants) have always looked at data in a Traditional (Structured) way. Now Oracle provides an Architecture to combine the old Data with the new (Big) Data. Whether there are 3, 4, 5, or whatever number of V’s, the most important thing is that you get value from your Data!

Data Ingestion (Loading)

Oracle provides / supports tools to perform Batch or (Near) Real-Time Data Ingestion.

Oracle GoldenGate & Oracle Data Integrator

Michael Rainey is writing an excellent series on how to load the Raw Data Reservoir (Staging Layer) and the Foundation Layer; Oracle GoldenGate and Oracle Data Integrator – A Perfect Match in 12c.

Cloudera Distribution including Apache Hadoop (CDH)

Hadoop is Open Source and Apache licensed. Cloudera provides an Open Source Distribution ( Cloudera CDH – Cloudera Enterprise Data Hub).

Oracle Event Processing (OEP)

OEP is a complete solution for building applications to filter, correlate and process events in real-time. Check the Data Sheet here.

Logical Data Warehouse

There are a few different Layers:

  • Raw Data Reservoir (Staging Layer)
  • Foundation Layer
  • Access and Perfomance Layer

Depending on the requirements and the tooling one can decide to skip or combine the different Layers. Oracle has the tooling to load the various Layers directly (GoldenGate).

The data is no longer only stored in the Oracle Database. The ‘new’ types of data require ‘new’ types of storage. There are different Data Stores for different purposes.

The Oracle Big Data Connectors can be used to integrate Apache Hadoop with Oracle Database Software.

Processing the data could be either In-Database (Oracle Database Options –  Advanced Analytics, OLAP) or In-Memory (Oracle TimesTen).

Information Delivery

Oracle is able to support proven answers to known questions via Oracle BI. Fast answers to new questions are provided by Oracle Endeca Information Discovery.

“The Oracle BI Foundation Suite provides comprehensive capabilities for business intelligence, including enterprise reporting, dashboards, ad-hoc analysis, multi-dimensional OLAP, scorecards, and predictive analytics on an integrated platform”

Oracle BI Foundation - Front-End

OBIEE makes it possible (Logical Layer) to skip the ‘Access and Perfomance Layer’ and source directly form the ‘Foundation Layer’. There are some very interesting presentations online around this subject.

“Oracle Endeca Information Discovery is a complete enterprise data discovery platform that combines information of any type, from any source, empowering business user independence in balance with IT governance. Now organizations can access the information they need, when they need it, to make business decisions they can trust.”

There is still a lot more to investigate, but for me this gives a little bit more guidance.