Big Data. Big Decisions
InformationWeek
Special Coverage Series


Why Collaboration Should Center Around Email

Employees have more ways to communicate, but until the mishmash of tools gets integrated, productivity will suffer.

InformationWeek Green - June 6, 2011 InformationWeek Green
Download the entire Jun. 6, 2011 issue of InformationWeek, 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.

Why Collaboration Should Center Around Email Almost 90% of companies use some form of social networking, whether it's an internal blog, an online forum, a wiki, or a hybrid platform such as Microsoft SharePoint, the InformationWeek Analytics Social Networking in the Enterprise Survey shows. However, a paltry 10% consider that effort a success. And we know one of the big reasons.

Only 26% of our survey respondents have direct email integration with their social systems. In other words, companies expect employees to break away from their email, check the "social" system, collaborate, and then go back to their email. Fuggedaboutit.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Collaboration technology presents the ultimate irony of the modern IT age. Hundreds of apps, platforms, and devices are designed to help us work together better. They all promise to make us more productive. Yet almost none of these tools plugs easily into the others.

Vendors touting "unified communications" haven't come close to solving this problem. All present their visions of how their platforms will revolutionize the worker's life, but fail to mention what they don't provide. Microsoft Lync has no iPhone or Android option. Cisco's unified communications suite offers limited Exchange integration. Avaya's new Flare doesn't support Microsoft Office. And none of them has sufficient plug-ins for the growing number of software-as-a-service collaboration options, such as Salesforce.com's Chatter.

The cloud vendors are no better, preferring to push their own visions as the only way to go. You're a big fan of Google enterprise email? Too bad, if you're a SharePoint or Notes shop. Google has integration tools for Outlook and Notes client software, but it doesn't include Notes databases or SharePoint sites.

It's time for a reset. IT organizations have 11 major choices today when it comes to technology-assisted communication and collaboration. Some are old and boring, like the phone and fax, while others--like telepresence rooms -- make you feel like a Jetson.

IT teams need to assess each based on whether they support six critical integration points, three interoperability benchmarks, and three user requirements. View this as a checklist for success--or a harbinger of the troubles ahead if they're ignored. And they all start with email.

To read the rest of the article,
Download the Jun. 6, 2011 issue of InformationWeek

Is It Time to Go Rogue?

Become an InformationWeek Analytics subscriber and get our full report on enterprise search.

This report includes 38 pages of action-oriented analysis packed with 26 charts. What you'll find:
  • Our three-step plan to make enterprise-wide search a reality
  • Top vendors in this space (hint: Google should be worried)
  • A guide to calculating the true cost of a search initiative
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.