Big Data. Big Decisions
InformationWeek
Special Coverage Series


Mobile BI Apps Target iPad

Roambi, QlikTech, and MicroStrategy are among business intelligence software vendors taking advantage of the Apple tablet's screen real estate.

For more on business intelligence, see Intelligent Enterprise.

Business intelligence vendors are getting better at delivering charts, graphs, and other data visualizations that are actually legible on smart phones. But there's nothing like screen real estate when you need to drill down on reports, slice and dice data, and display rich dashboards. Thus, it should be no surprise that BI vendors are quickly adopting Apple's hot new iPad tablet device.

New mobile BI apps with native iPad support were introduced by both MeLLmo and QlikTech at this week's Gartner's Business Intelligence Summit in Las Vegas. MicroStrategy previously announced iPad support on April 2, and SAS this week announced it will support the device by this fall.

MeLLmo on April 12 released Roambi Enterprise Server 3 (ES3), an upgrade of the iPhone-based mobile BI platform that the company introduced last May. Exploiting the larger screen of the iPad, Roambi now supports a dashboard-style Trends view and a cross-comparison view that displays up to four data visualizations on a single screen. MeLLmo recently visited TechWeb's New York offices and demonstrated its iPad support. (Scroll down to view video.)

MeLLmo's platform starts with the Roambi App, which is downloadable from MeLLmo, the Apple iPhone Apps Store on iTunes, and the Google Apps Marketplace. Roambi Lite and Roambi Pro publishing services available online support uploading and sharing data. ES3 is MeLLmo's on-premise server for enterprise deployments. Roambi launched with support for BusinessObjects BI systems, Salesforce.com, and Excel and CSV files. This week's ES3 upgrade adds support for IBM Cognos, Microsoft Reporting Services, Microsoft SharePoint, the open-source LifeRay portal, and Google Spreadsheet.

To enhance enterprise appeal, MeLLmo has bolstered the IT management features in ES3. Mobile report generation, for example, can be synchronized with the scheduled reporting tools within BI systems. Security has been enhanced with options to lock-down data, wipe data remotely, temporarily block devices, and selectively delete files remotely.

MeLLmo's Roambi Pro app is $99 per user and can be used in combination with the Lite or Pro publishing services. ES3 is $795 per user for a perpetual license with a minimum of 50 users.

QlikTech's new QlikView for iPad app is based on the vendor's previously available iPhone app but is said to take advantage of the tablet's native screen resolution. Both apps exploit Apple's multi-touch interface, auto screen-orientation detection, GPS position detection, and CoverFlow feature. The latter comes in handy for flipping through available QlikView reports.

All data QlikViews has developed for conventional, PC-based analysis are automatically formatted and available for iPad and iPhone viewing without additional servers or software. The apps are free at the Apple App Store on iTunes, and QlikView also supports RIM Blackberry and Android smart phones.

MicroStrategy has been very public about its ambitions for mobile BI. Chief Operating Officer Sanju Bansal recently told Intelligent Enterprise that the independent BI vendor will release a major upgrade of its MicroStrategy Mobile platform as well as a Mobile App for iPhone platform later this year.

The new platforms will exploit smartphone-native GPS capabilities and promise improvement in query response speeds. The iPad support MicroStrategy announced on April 2 is extension of current platform support. Prices and device-native capabilities were not detailed.

In yet another mobile BI announcement, SAS announced April 12 that it will release a SAS Mobile platform in September that will support iPhone and iPad, RIM Blackberry, and Windows mobile devices.



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.