Big Data. Big Decisions
InformationWeek
Special Coverage Series


Dell's Quest: Bring Business Insights To Email Data

Quest Software's first 'big data play,' MessageStats 7.0, adds email mining and analytics tools for business-side users.

Dell's Quest Software division has announced the release of MessageStats 7.0, the latest edition of its reporting and analysis product for enterprise messaging. From a big data perspective, version 7.0's most intriguing new feature is Business Insights, an email mining and analytics tool designed to help organizations dive deep in data buried in their messaging systems to extract usable information.

Business Insights, which ships with MessageStats 7.0, displays messaging trends via a browser-based dashboard interface. It's targeted squarely at business managers, allowing them to access useful information without having to pester IT for training or other help.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

MessageStats has been around for more than a decade. Initially designed for Microsoft Exchange, it has expanded to other platforms over the years, including instant messaging and collaboration products such as Microsoft Lync and Blackberry Enterprise Server, as well as Android, iOS, and Windows mobile devices. The inclusion of Business Insights is part of MessageStats' evolution from solely being an IT reporting tool to one that provides data-driven intelligence to less technical users.

[ For more on Dell's acquisition of Quest Software, see Dell Outlines Big Software Ambitions. ]

In a phone interview with InformationWeek, Quest Software product manager Joel Blaiberg said that MessageStats' original mission was to report on issues of concern to IT managers. "The sort of things that 10 years ago kept IT admins up at night: How are my servers doing? Am I running out of storage? Who is using the most email? Do I have any empty objects, users, groups, public folders?"

But recent IT trends, including improved hardware and software reliably, have led Quest Software to redirect the product's focus to some degree. "Platforms have become more mature and stable, better performing, and much more reliable," said Blaiberg. "And with things like self-healing and self-recovery, some of those [problems] that kept admins up at night…have gone somewhat away."

Furthermore, more enterprises are migrating from on-premise to cloud services, a development that effectively outsources headaches about servers and storage.

Another trend: Quest's customers were requesting reports that explored the business angle -- rather than strictly the technical side -- of data. "We started to get requests from the field…for more insight into what big data means from a business perspective," said Blaiberg.

Combined, these developments led to Business Insights in MessageStats 7.0. "It's a somewhat new direction for us, but it's also complementary to what we've always done," Blaiberg said.

Managers can use Business Insights' HTML5 front end to mine data in their Exchange store. A sales director, for instance, could use the tool to determine which salespeople are communicating with top clients, and how often.

Blaiberg called the tool Quest Software's first "big data play," but acknowledged that the Dell division is just "dipping a toe" into a new but rapidly expanding market. "It's a slightly different paradigm for us," he said. "It's very interesting to see how this gets taken up by the customers."

Dell announced in July that it was buying Quest Software for $2.4 billion. The acquisition is part of Dell's previously announced strategy to focus less on lower-margin PC sales and more on becoming a hardware and software solutions provider for its enterprise customers.

Quest Software, while not exactly a household name, has been in business for nearly 20 years. It had just under $1 billion in revenue in its last fiscal year, according to Bill Evans, Quest's senior director of product marketing. "We used to pride ourselves on being the biggest software company you've never heard of," he said, adding, "We're going to focus on the Windows Server management part of the business, which is going to become the foundation of Dell's software systems management group."

Predictive analysis is getting faster, more accurate and more accessible. Combined with big data, it's driving a new age of experiments. Also in the new, all-digital Advanced Analytics issue of InformationWeek: Are project management offices a waste of money? (Free registration required.)



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.