Big Data. Big Decisions
InformationWeek
Special Coverage Series


OnForce Eases Outsourcing For VARs

Cloud-based software gives solution providers a way to put their contracting work on autopilot.

Bill Lucchini has a message for tech service companies--solution providers, integrators, and the like--outsourcing work: If you're running your own network of independent contractors, you're taking on too much and putting yourself at a huge disadvantage. You should be using a software solution, like the one his company offers, to do the work for you.

"There's so much complexity to outsourcing these projects," said Lucchini, COO of OnForce, in an interview. "We've invested a lot of money in a SaaS solution that does it all for you."

Here's an example of how it works. Let's say you're an SMB VAR in Chicago. You've just won a contract with a national retailer that wants to update its POS systems across the board. Great, right? This is a lucrative deal; the retailer has 1,000 locations, from New York to California. But how are you going to cover such a broad area with your limited resources? Sure, you've got talented staffers in Chicago. You've even got some connections in surrounding states. But you have no idea how you're going to hook up with techies in the Midwest, or in Seattle, where the retailer has several high-profile locations.

This is where OnForce would come in.

With OnForce, you would create a work order online and upload info into the cloud-based system. From there, everything would pretty much be on autopilot. At each retailer location, technicians in the OnForce network would be notified that there's work available. The software would profile each technician and, if you choose, select the independent contractors that are the best match for the job. The system even tracks performance and attendance and handles payments.

"The whole process is very simple," said Lucchini. "There's no contract; you just go to our website and sign up for account. You can immediately create a work order after that."

Lucchini said about 90% of the service companies that use OnForce are SMBs--tech shops with five to 100 employees. And with 90,000 registered technicians, the OnForce pool of independent contracting talent is substantial. OnForce's system is getting a lot of use from VARs that work in the healthcare and retail spaces, Lucchini said.

"With self-checkout becoming the norm and the growing popularity of mobile shopping apps, there's a lot of integrator activity in the POS arena," he added. "As for healthcare, clinics are becoming popular alternatives to hospital ERs, so there's a big focus on updating those facilities and their technology."

The key benefits of OnForce for tech service companies? Geographical reach (OnForce's independent contractors are all over the country, from big cities to small towns), reduced costs and high-quality work (OnForce's techies compete for work; for each project, the system chooses people who have the right skill set and are willing to do the job for the right price), and low risk (all OnForce technicians are fully insured).



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.