Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Steve Stasiukonis

Steve Stasiukonis



Integrator Perspective: Taking Torelli to the Next Level

Whether you're a professional bike racer or a small business owner, you must have the heart of a true competitor to break away from the crowd and achieve success. And every competitor, at some point in his or her career, reaches that "make-or-break" point, where there is a clear choice of whether to push the envelope of endurance, or settle for being second best.

Whether you're a professional bike racer or a small business owner, you must have the heart of a true competitor to break away from the crowd and achieve success. And every competitor, at some point in his or her career, reaches that "make-or-break" point, where there is a clear choice of whether to push the envelope of endurance, or settle for being second best.Owner Todd Linscott and his small dedicated team at Torelli Bicycle Co. reached that crossroads earlier this year, and decided to take the harder road. In their case, it was the choice to leave behind an outdated accounting system that was holding them back, and embrace a new way of doing business based on the same enterprise resource planning (ERP) principles typically used by large, multinational businesses,

Once that decision was made, Linscott turned to the professionals at Navigator Business Solutions, an integration firm that specializes in applying ERP solutions from market leader SAP to small businesses such as Torelli. From the first day that Navigator's Western U.S. Project Manager Brian Hedrick arrived on the scene at Torelli's humble Southern California headquarters, he was confident that the combination of SAP's technology and Navigator's implementation know-how would pave the way for the small company to turn the corner on its business processes and achieve the next level of entrepreneurial success.

In this video interview recorded during a visit to Torelli in August, at the very outset of the InformationWeek SMB On Location series, Hedrick predicted a smooth and fast transition for Torelli.

"I don't see any major challenges at all; this is a perfect fit," Hedrick said. Like many small companies, he added, Torelli's business model and day-to-day operations are actually much more conventional than its management may realize and, as a result, can easily adapt to the ERP processes of an SAP solution.

"Sometimes customers think they're unique in the world: 'We're a warehouse. We buy things for cheap, put them on our shelves, and sell them for more money.' That's not unique; everyone does that. I think they have a very common business model. They have some specific nuances that are unique to them, but as far as challenges, nothing right now. It looks very, very smooth."

Was the implementation as smooth as Hedrick predicted? Find out later this month when representatives from Navigator, SAP and Torelli join me in a live roundtable webcast on the real challenges and rewards of implementing ERP in a small business. The "Extreme SMB Technology Makeover: Torelli Races for the Finish Line with New ERP System" webcast takes place Wednesday, Oct. 27, at 2 p.m. EDT (11 a.m. PDT). Mark your calendar!



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.