Big Data. Big Decisions
InformationWeek
Special Coverage Series


5 Ways To Improve Your New LinkedIn Profile

Here's how to take advantage of LinkedIn's new look and feel.

10 Pinterest Pointers For Businesses
10 Pinterest Pointers For Businesses
(click image for larger view and for slideshow)
LinkedIn recently updated the look and feel of its user profiles, in an attempt, it said, to make it easier for users to "tell their professional stories, be found for opportunities, and build relationships through meaningful interactions."

The profiles, which are still being rolled out to users, are much more visual in nature and integrate elements reminiscent of Facebook, Twitter and Google+. Some people love the new profiles and some, well, not so much. But they are what they are (for now), so The BrainYard has put together some recommendations for making sure that you are making the most of the updated profile features.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

1. Upgrade Your Profile Photo

Profile photos are now much larger. If your existing photo is grainy or old, or if you don't have a photo at all, find (or take) a high-res shot that puts you in a professional light, recommends Jake Wengroff, founder of social business consultancy JXB1.

2. Use The New Networking Insights View

"Probably one of the best parts of LinkedIn is to understand how many degrees of separation you have with people that you want to connect and network with," said Tony Deblauwe, founder of HR4Change. "This new display helps provide you with a quick snapshot of your reach and allows you to more easily click down to new connections/introductions you want to make."

3. Get Active

With any social network, a big part of building your personal brand is sharing links and stories. But, of course, you don't want to overshare and clog connections' feeds, and you want to make sure that what you are sharing is relevant to your audience. This is true more than ever: "Daily activity is a more pronounced area, so showcase your thoughts and interesting links to stories that you are following," said Deblauwe.

[ A funny thing is happening as social networking becomes increasingly critical to business efforts: Marketing and IT are becoming strange bedfellows. Social Opens New IT Career Path In Marketing. ]

Deblauwe warned that there are "dangers" to this more prominent view: "One, you do nothing -- no updates, no links to useful info -- and a recruiter doesn't think you are as engaged for a role vs. someone who is. Or, two, you connect meaningless stories or provide updates that are more appropriate for Facebook, and recruiters could view you potentially in the wrong way."

Deblauwe noted that taking the time to effectively curate content will make you stand out in a good way: "I think LinkedIn made the design choice to push this piece as a better way to create a path of your professional story," he said, "but the feature, like all social media, becomes meaningful with usage -- I'm not sure the majority of LinkedIn users will take the time, so if you do, you automatically stand out."

4. Leverage Data

You have no doubt been hearing more and more about big data, and how the use of the reams of data generated from social media (and many other sources) can be analyzed and used by companies to make business decisions moving forward. The data generated on your LinkedIn profile may not be exactly big, but it can be analyzed, and it can be used to help you hone your personal marketing message.

Larry Stybel said that the endorsements he has been receiving have told him a lot about how his company's evolution is perceived. Stybel, president and CEO of career management and leadership development firm Stybel Peabody Lincolnshire, as well as executive in residence at the Sawyer Business School at Suffolk University, said he has received many endorsements for recruiting, executive coaching and organizational development, but none for outsourcing -- once a focus for his organization.

Analyzing the endorsements was "the best marketing research that I could have ever done," he said. "I would have predicted that outsourcing would be No. 1, but it's not even listed. It tells me something about how people perceive me. This tells me that I'm moving in the right direction, and that the market has accepted it."

Users should periodically examine the data that LinkedIn provides -- including endorsements and who is looking at your profile -- to make decisions about the effectiveness of their profile over time.

5. Ask For Recommendations

Recommendations are now highlighted directly under relevant work experience. If you do not have any recommendations, or if they are older and highlight skills that are not in high demand right now, ask past and present colleagues to write a recommendation that focuses on the skills and experience you want people to associate you with. (And be prepared to return the favor.) With the introduction of LinkedIn endorsements, which some have derided, LinkedIn recommendations have taken on additional weight and value.

Have you made any changes to your LinkedIn profile? What differences have they made? Please let us know in the comments section below.

Follow Deb Donston-Miller on Twitter at @debdonston.

Attend Online Marketing Summit San Diego, Feb. 11-13, and gather the insights and strategies you need to make the right online marketing choices to deliver the most value for your business. OMS San Diego offers three days of inspiration, connections, and practical learning. Register using code WETW01 and to secure the early bird rate on Conference Passes or a Free Expo Pass.



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.