Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Cindi Howson

Cindi Howson

Founder, BI Scorecard

MicroStrategy Bets On Visualization, BI For Facebook

MicroStrategy's latest release counts on warming interest in cloud-based business intelligence and hot demand for social data analysis.

MicroStrategy announced a slew of improvements to its already-solid business intelligence and analytics earlier this month, and it's also innovating in the area of cloud computing and analysis of Facebook data. Probing social networks is certainly compelling to many, but as I'll explain, I have my doubts about the reliability of the data.

MicroStrategy's 9.3 release, which was detailed at the company's European conference in Amsterdam earlier this month, brings significant improvements to the company's Visual Insight visual data discovery module, which was introduced last summer year. Visual data discovery is a hot segment, with products available from fast-growing vendors Tableau Software and QlikView as well as new options from BI platform vendors (IBM Cognos Insight, Microsoft Power View, SAS Visual Analytics Explorer, SAP Visual Intelligence).

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

The first release of Visual Insight brought easy-to-create visualizations via a Web interface. Users could share visualizations via the iPad or Facebook. Lacking, though, was the ability to enrich the data with calculations or to assemble the visualizations into a business-authored dashboard.

[ Want more on BI and Big Data? Read Big Data Analytics Challenges Old-School Business Intelligence. ]

MicroStrategy 9.3, due this quarter, significantly improves on Visual Insight, letting business users display multiple data sources in a dashboard-style report. More than 300 new functions are included, but emphasizing ease-of-use, the most important functions, such as rank and time series analysis, are readily accessible via quick menus. The 9.3 upgrade also offers several new chart types as well as a visual recommendation engine that suggests the charting approach for specific types of data. (Take the 2012 Successful BI survey to rate the importance of visual data discovery to your organization.)

The improved visual data discovery capabilities got me most excited, but 9.3 also brings enhancements focused on big data, search, advanced analytics with support for open source R models, and administration. With MicroStrategy's ROLAP engine and tightly integrated in-memory cubes, data scalability has long-been a differentiator for the vendor; in 9.3, MicroStrategy adds support for Hadoop and Hive, the latter being Apache's data warehousing environment for Hadoop.

MicroStrategy discussed Hadoop and Hive conceptually, but I remain skeptical of the performance of the Hive query approach and have yet to talk to any beta customers. Hadoop is a batch processing system, and as such, queries against Hadoop are inherently slower, measured in minutes or more, a stark difference from BI queries against relational and OLAP data sources that last seconds at most. A more practical approach is loading Hadoop data into an in-memory cube with the new Hadoop connector.

Enterprise-grade administrative tools have also been long-standing strength for MicroStrategy. In the 9.3 release the vendor introduces System Manager, an optional interface that enables administrative tasks to be grouped and established as workflows. The workflows can be based on third-party events, such as starting an Amazon Instance. MicroStrategy cited case studies of companies that could save thousands of man hours per year in manual administration.

System Manager is expected to be sold separately (a difference from Visual Insight, which is included in the Report Services license). It's reasonable that MicroStrategy charges extra for new capabilities that go above and beyond what's generally available in other BI platforms, but introducing too many a la carte options risks further confusing customers that already have trouble deciphering BI pricing and packaging options (see BI Scorecard's pricing and packaging matrix.)

MicroStrategy released Wisdom Professional, an evolution of its BI-for-Facebook product first released last year. Wisdom Professional lets marketers and CRM users explore Facebook demographic and interest data from 12 million users who have opted in. It's an interesting product that has generated mainstream media coverage.

I'm enthused that MicroStrategy is innovating in social analytics, but I confess I'm a Facebook-for-business skeptic. (Don't send me a friend request unless I've known you for at least 20 years. Try me on LinkedIn or Twitter instead.) Facebook is undoubtedly an important force shaping social behavior, consumers, and BI tools, but how to best use it for business, whether for advertising or segmentation, remains to be seen.

When I talk to the younger generation, whose lives are rooted in Facebook, they tell me they lie on their pages about age, relationships, and interests. They advise each other never to "Like" a page, lest you get spammed later, and they are oh-so-astute as to which marketers make the liking worth the invasion. They may not be too concerned about privacy, but what's personal versus professional is a line they don't like marketers crossing. Knowing the customer and "stalking on Facebook" is a fine line savvy business users should consider.

Cloud computing has gained acceptance in CRM, human capital management, and payroll, but there has been slower adoption in the BI world. Speaking at MicroStrategy's event, Gartner analyst Andreas Bitterer predicted that Cloud BI will account for just 3% of total BI revenues by 2013. MicroStrategy made its first foray into cloud-based BI last year, offering both Cloud Personal, a free service based primarily on Visual Insight, and Cloud Enterprise (since rebranded MicroStrategy Cloud Platform), a BI platform as a service (PaaS).

MicroStrategy also announced Cloud Express in Amsterdam. It's a beta service that combines visual data discovery, dashboards, mobile BI, reporting, reports, and enterprise security, without the need to model a data warehouse. Fabrice Martin, VP of Cloud Express, did a demo in which every attendee received a customized report of their country's World Cup performance.

With Cloud Express, data can be imported from flat files, spreadsheets, Salesforce.com, other cloud services, or SQL data sources. The vendor is clearly trying to ride the cloud wave with enterprise customers while also appealing to smaller companies and departments looking for fast deployment, an area in which competitors QlikTech and Tableau Software have been encroaching.

MicroStrategy Mobile remains a huge emphasis for the company. CEO Michael Saylor released a new book, The Mobile Wave, and the vendor has refined its use cases for mobile, emphasizing executives, retail, and sales force. The vendor released a new ability to interactively draw on and annotate a dashboard on an iPad or iPhone while it is mirrored on Apple TV. That's a nice collaborative feature for board rooms and executive offices.



Related Reading




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.