Big Data. Big Decisions
InformationWeek
Special Coverage Series


10 Ways To Foster Effective Social Employees

Social business tools can be used effectively, or they can be a huge time sink.

8 LinkedIn Etiquette Mistakes
8 LinkedIn Etiquette Mistakes
(click image for larger view and for slideshow)
One of reasons often cited for not implementing social business tools is a fear of productivity loss. As social products and practices become more tightly integrated into all manner of enterprise applications -- and as presence on Facebook, Twitter and the like has become as important to companies' marketing, advertising and sales as their websites -- these fears are generally diminishing.

But, as with any technology, social business tools can be used effectively, or they can be the productivity sinks IT and business managers feared they would be. Here are some best practices for making your employees more effective and productive on social business tools.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

1. Set Clear Goals

This may sound like a no-brainer, but it's not unusual for organizations to throw a social business platform against the wall to see what functions stick, rather than roll it out in a systematic and purposeful way. Yes, there are elements of social networking that can and should be organic, but your organization's reasons for using a social business platform and its plan for implementation and use should not be.

2. Don't Isolate Social Channels

All too often, companies bring in a social business system only to relegate it to some figurative corner of the business. For a social business platform to be effective, it has to be integrated into the business. "Companies see business value from social software when they integrate it directly into their daily flow of work," said Michael Idinopulos, chief customer officer at Socialtext.

[ For related advice, see How To Encourage Off-The-Clock Social Ambassadors. ]

But this is not to say that all business processes are suitable for social. "If you want social enterprise tools to be widely adopted in your organization, move applicable business processes into the systems -- note the word 'applicable," not 'all,'" said Mike Puglia, VP of marketing at TimeTrade Systems. "For example, we've moved our internal customer request process to a Chatter Group with approvals. Everyone follows this group, and requests are now transparent to the organization. People can comment on the wall and approval for requests can be granted, as opposed to filling in and emailing a spreadsheet which had limited visibility and duplicated a majority of work."

3. Extend Social Systems To Mobile

For users to be truly productive on social business systems, they must have access to them anywhere and at any time. "The benefits of collaboration tools are amplified when they can collaborate remotely," said Catherine Brown, VP of marketing for project management software vendor Mavenlink.

4. Don't Treat Internal Social Business Platforms As "Facebook For The Enterprise"

In the early days of social business software, vendors often referred to their wares as some variation of "Facebook for the enterprise." That made sense at the time, as the description helped organizations get their heads around how and why social networking could be used for business purposes. But social business is much more than just Facebook's paradigm plunked down behind the firewall, and users should be discouraged from treating it as such.

5. Develop Guidelines With More Do's Than Don'ts

Companies that are making effective use of social business software have clear guidelines for its use, and those guidelines tell users what they should be doing on social platforms -- both internal and external -- as much as what they shouldn't be doing. In fact, many experts who have spoken with The BrainYard say that social guidelines should err on the side of positivity, encouraging participation and giving users clear direction on what they should be doing on social platforms and why.

 1 | 2  | Next Page »


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.