Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Doug Henschen

Doug Henschen

Executive Editor, InformationWeek

Microsoft Tops 2010 BI Survey

In a finding that bodes well for Microsoft SQL Server, a new InformationWeek report shows 49% of firms are using the vendor's business intelligence tools.

"If SQL Server is something that only Microsoft shops would be interested in, then MS has big problems."

This comment, made in response to last week's coverage of Microsoft's Parallel Data Warehouse (PDW) and "Denali" SQL Server release, is a glass-half-empty take on what could just as easily be viewed as a juggernaut scenario for Microsoft BI, Microsoft PDW and Microsoft SQL Server.

BI Vendors Survey Results
(click image for larger view)
BI Vendors Survey Result
It all depends on how you define "Microsoft shop" and "BI market share." Let me explain.

If you want a rosy perspective on Microsoft's position in the BI market, click on the thumbnail image at right and you'll find the company's BI products at the top of the list in terms of use, planned use and evaluation. This chart, from our recent InformationWeek Analytics 2010 BI and Information Management Survey, is based on feedback from 410 respondents currently using or planning to deploy business intelligence technologies.

(The larger report, which you can download here, is based on September 2010 survey responses from 484 qualified business technology professionals. The chart presented here is included in the Appendix of the report.)

As you can see, Microsoft is in a dominant position, with tools currently in use by half (49%) of respondents and planned use by 6% of respondents, roughly 50% higher than the next-closest competitors (those being Oracle, IBM and SAS, each with 4% planned use).

As impressive as these stats may be, you have to keep in mind that Microsoft BI is not like any other BI suite out there in that it's free. If you license Microsoft SQL Server, SharePoint (Enterprise) and Microsoft Office, you own all the components of Microsoft BI.

Microsoft SQL Server 2008 R2 provides built-in Reporting Services, Analysis Services, Integration Services and the PowerPivot in-memory-analysis plug-in for Excel. SharePoint Enterprise Edition gives you PerformancePoint Services for dashboarding, scorecarding and analytic capabilities. And Microsoft Office gives you Excel, which is the number-one BI interface in the industry, exploited by Microsoft as well as other vendors as a ubiquitous data-consumption tool.

The complication is that you may buy and use SQL Server, SharePoint and Office for purposes having nothing to do with BI. So the question is, how do you define "Microsoft shop" when it comes to BI? There are plenty of firms out there that might use Microsoft SQL Server and even various services yet still identify their enterprise as an SAP BusinessObjects, MicroStrategy or (insert rival BI vendor name here) shop.

 1 | 2  | Next Page »


Related Reading


More Insights




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.