Big Data. Big Decisions
InformationWeek
Special Coverage Series


SaaS Productivity Apps: Ready For Business?

Google, Microsoft and others are pushing SaaS-based e-mail, word processing, collaboration, and more. We examine the case for cutting ties to on-premises office software.

InformationWeek SMB - Sept. 12, 2011 InformationWeek Green
Download the entire InformationWeek SMB, distributed in an all-digital format as part of our Green Initiative
(Registration required.)
We will plant a tree for each of the first 5,000 downloads.

SMB: They Hybrid Desktop

Software as a service is making its way deeper into businesses large and small via email, productivity, and collaboration applications. SaaS lets IT replace hardware investments, software licenses, and administrator time with a monthly per-user subscription fee, which can reduce total cost of ownership while freeing IT to focus on business-specific service development.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

But these savings are hollow if browser-based SaaS productivity apps can't replicate the capabilities of a conventional client. And in fact, it's not necessary to fully embrace browser-based apps to enjoy many of the cloud's benefits.

Browser Vs. Thick Client

SaaS applications have three main advantages: They're easy to deploy, require minimal or no maintenance, and have a low capital cost. In a sign of how much the online software market has matured, a majority of respondents to our 2011 InformationWeek SaaS Survey rate the performance and reliability of these applications as good or better than in-house alternatives.

Google led the charge into SaaS-based productivity apps with Google Apps, building on its Gmail franchise to create the Google Apps for Business suite. Microsoft countered with a SaaS offering that meshes its thick Office client with online versions of its communication and collaboration products. While these two battle for market dominance, other players, including Adobe, Apple, and Zoho, have wedged their way into spaces left by the giants.

Google hopes the advantages of SaaS will help it land customers for its suite, which is based on a version of Gmail that's private and can be branded--using your own domain name, for example--along with the Talk (IM and VoIP) and Calendar clients. These apps are paired with authoring and collaboration tools under the Google Docs and Sites banner. Docs includes the standard productivity tools: word processor, spreadsheet, presentation software, and vector drawing program. Although Google natively stores documents in its own formats, the apps support all the latest Microsoft Office formats as well as standards like ODF, PDF, HTML, and RTF for import and export.

To read the rest of the article,
Download the September 2011 issue of InformationWeek SMB

Ready For Your Business?

Become and InformationWeek Analytics subscriber and get our full report on SaaS productivity applications

This report includes 20 pages of action-oriented analysis packed with 8 illustrative charts. What you'll find:
  • A detailed description of SaaS productivity services
  • Insight on browser and thick client app options
  • Analysis of SaaS pros and cons
Get This And All Our Reports




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.