Big Data. Big Decisions
InformationWeek
Special Coverage Series


5 Enterprise Social Traps To Avoid In 2012

From wake-me-when-it's-over syndrome to data overload, dangers stand between your company's social networking plan and success. Here's how to overcome some current challenges.

10 Cool Social Media Monitoring Tools
Slideshow: 10 Cool Social Media Monitoring Tools
(click image for larger view and for slideshow)
Companies that have not already embraced social networking can no longer just sit back and hope it all goes away. Whether it's promoting your company brand and engaging with customers on externally facing networks or collaborating with colleagues and business partners on internal social networks, 2012 will be the year that social networking for business really takes hold. With that will come new challenges, some of which are in the good-problem-to-have category. Following are five issues that companies can expect to run up against, and some advice for overcoming them.

1. Scarce resources

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

A robust social networking presence doesn't just happen. It takes care and feeding, and that requires resources. Most companies these days are still running very lean, but resources simply must be dedicated to social networking efforts if companies want to see any return. Depending on the company and how extensive the social networking initiative, dedicating resources doesn't have to mean hiring 10 new people; it doesn't even have to mean dedicating an existing head to the cause. What it does mean, at the very least, is identifying people within the organization who have demonstrated some insight around social networking tenets and processes and ensuring that they are freed up to some extent to cultivate social networking programs.

2. Wake-me-when-it’s-over syndrome

Many employees have a been-there-done-that attitude when it comes to collaboration platforms that will CHANGE THE WAY COMPANIES DO BUSINESS. (Groupware, anyone?) More seasoned employees, especially, have seen collaboration platforms die on the vine and may expect social networking initiatives to do the same. If enough people take this stance, it can be a self-fulfilling prophecy. It is important to tread carefully with wary employees, but it’s also important that they be made to understand clearly the business’s goals around social networking and their expected roles. But don't just leave them out there to fend on their own. Provide training and mentors. Reward participation. Build social networking into existing policies and, where appropriate, employee evaluation criteria. Give them reason and incentive, and they will come.

[ The path to a successful social enterprise network can be rocky. Read Ten Enterprise Social Networking Obstacles. ]

3. Too many cooks ...

The converse of the wake-me-when-it’s-over syndrome is the I-want-in-too syndrome. While there’s probably no such thing as too much participation when it comes to internal social networking tools, too many cooks could theoretically spoil the company-brand broth on externally facing social networks such as Facebook, Twitter, and Google+. Organizations need to decide who should be posting on behalf of the company, what they can and cannot say, and what kind of training to provide. While totally scripted collaboration with current and potential customers isn’t really collaboration at all, there should be some kind of clearly stated plan and purposeful vision for the company’s persona on external social networks.

4. Data overload

As your organization wades deeper into social networking--internally and/or externally--you will be amassing a great deal of new data and new data types. Further, for data to be useful, it must be analyzed on an ongoing basis and in real (or near-real) time. Doing so is challenging; not doing so will significantly reduce or even negate the value of your efforts. There are a number of free or nearly free monitoring and measurement tools available, but even more important than the tools organizations use is the time they spend deciding which metrics matter to their business.

5. Increased development needs

If your company has evolved its social networking initiatives to the point that it needs custom apps to move internal employee use forward and compete on externally facing networks, that's a good problem to have. How big a problem it is depends on the level of development expertise available within your organization. Typically, those resources are stretched pretty thin to begin with. Fortunately, most social networking platforms make app development relatively easy, so you may be able to sic your most savvy and evangelical social networkers on the task (once goals have been clearly developed and articulated, of course). But again, these people must be given the time to do the job right. Your organization may also have to weigh the cost of procuring outside development talent against the need to pump up social networking presence.

What new challenges is your organization facing as your social networking efforts evolve? Please share in the comments section below or by emailing me at debra.donstonmiller@gmail.com.

For the 15th consecutive year, InformationWeek is conducting its U.S. IT Salary Survey. Upon completion of the survey, you will be eligible to enter a contest for prizes including a Bravia HDTV or iPad 2, and get a link to download our report once it is published. Take the survey now. Survey ends Jan. 20.



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.