Big Data. Big Decisions
InformationWeek
Special Coverage Series


LinkedIn Profiles: Not Just For Resumes Anymore

Profiles update makes the platform less resume-focused and more like a true social network. But users are still griping about LinkedIn Endorsements.

5 Facebook Rivals Hot On Its Heels
5 Facebook Rivals Hot On Its Heels
(click image for larger view and for slideshow)
With its new Profiles, LinkedIn continues to move further away from its legacy of resume repository and toward functioning as a true professional social network.

LinkedIn is commonly known as the business-oriented social network, and its look and feel has pretty much reflected that. In the past, user profiles resembled traditional paper resumes, with some interactivity thrown in for good measure. A recent blog post by LinkedIn product manager Aaron Broznan notes that the network's "next generation" Profiles will make it easier for users to "tell their professional stories, be found for opportunities, and build relationships through meaningful interactions." The biggest change to LinkedIn Profiles is how they look. A social cocktail that mixes elements of Facebook, Twitter, and Google+, LinkedIn's new Profiles provide visual insight into users' experience, social activity, contacts, and more.

The Profiles are designed to make it easier for colleagues and potential employers to scan for experience and potential areas of common ground. "Our new visual design helps you make a powerful first impression and showcase your skills and accomplishments," writes Broznan. "The new profile shows you rich and visual insights on the people and companies in your network. These insights also make it simpler to discover people outside your network and quickly establish common ground to make more meaningful connections."

The Profiles are also intended to make it easier for users to engage with others in their network. Recent activity is at the top of the profile page, enabling users to see what their contacts are doing and to make connections while doing so.

"First, the beauty of it is that it is a better aesthetic, and the old profile was immediately converted to the new format," said Bruce Hurwitz, president and CEO of Hurwitz Strategic Staffing. "You did not have to make any changes. Second, it's important that LinkedIn lets members know that they are constantly updating their service."

During a press event earlier this week, LinkedIn CEO Jeff Weiner said LinkedIn now has 175 million members, with 50 million added in the last year alone.

Weiner noted that LinkedIn has recognized a shift among its users: "It's not just about job seekers looking for the perfect job or recruiters looking for the perfect candidate; it's also entrepreneurs looking to raise money, it's journalists … looking to break a story, its salespeople looking to turn cold calls into warm prospects. … People are updating their profiles when they are not looking for work. We want to put the right business intelligence in front of the right member at the right time."

[ Related: LinkedIn Profile Changes: What You Should Know. ]

Bronzan showed the new Profiles format during the event. The top of the Profile page has been simplified, Bronzan said, with a roll-up of users' academic and professional experience. It might be time to get new photos taken, because users' profile pictures are also larger and more prominent. Users can update their status from the top of the profile page.

Bronzan said that profile editing has been "rebuilt it from the ground up." Users now get a visual of sections they might want to add or expand, such as languages and projects, and the editing process is now inline. Users also see recommendations for people they might know; a visualization of profile completeness; a breakdown of their network, based on connections' companies, schools, and industries; and access to the Who's Viewed Your Profile tool. A visual of users' connections is at the bottom of the page, which also includes the Skills and Expertise section.


The new Profile should be easier to scan for common ground. (Partial page shown.)

The Skills and Expertise section features LinkedIn's new Endorsements, a feature that has been greeted with mixed feelings, if the comments to The BrainYard's recent story on the topic are any indication.

Although Hurwitz lauds the new Profiles section in general, he, too, is not a fan of Endorsements and noted an issue that many people have with the feature.

"I have a nice number of these endorsements, but don't be overly impressed," he said. "The truth is, not a single one of these individuals knows me or has ever worked with me. They all assume I will reciprocate. I won't, because if I ever decide to endorse someone, the endorsement would be meaningless if I endorse anyone who endorses me on a reciprocal basis."

Are you in line for the new LinkedIn Profile? Do you think it will increase your use of LinkedIn or make your experience more meaningful? Do you want to weigh in on Endorsements? Comments are welcome below.

Follow Deb Donston-Miller on Twitter at @debdonston.

Attackers are increasingly using a simple method for finding flaws in websites and applications: They Google them. Using Google code search, hackers can identify crucial vulnerabilities in application code strings, providing the entry point they need to break through application security. In our report, Using Google To Find Vulnerabilities In Your IT Environment, we outline methods for using search engines such as Google and Bing to identify vulnerabilities in your applications, systems and services--and to fix them before they can be exploited. (Free registration required.)



Related Reading


More Insights




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.