Big Data. Big Decisions
InformationWeek
Special Coverage Series


Jordache Redesigns IT Around Cloud, Google

As '80s icon Jordache attempts a comeback, designer's SVP of operations discusses why it moved 400 blue-jeaned seats to Google Apps and other cloud platforms.

The '80s have been reborn in the cloud.

Jordache, the clothing brand most known for its jeans popular three decades ago, has been undergoing something of a refresh of late. It's getting a technology makeover, too, as the 400-person company moves into the modern era.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

"The infrastructure [and] technology growth is the same as the brand: Coming into a new age," said Ezri Silver, Jordache's SVP of operations, in an interview. "[For] a company to be cutting edge means you're cutting edge everywhere."

A big piece of that has been a significant shift into cloud platforms, which is anchored by the trio of Google Apps, RLM's fashion-centric enterprise resource planning software, and KWI's retail management application.

Jordache's reasons for moving much of its IT needs online are sound. The business and its employees are spread around the globe; retail locations are likewise far-flung. Weaving everything together with a fragmented physical infrastructure simply doesn't make much sense these days, especially for a company its size. It makes even less sense when you consider that Jordache is not just a clothing company. Its business interests include a marina in Brooklyn, N.Y., a regional airline in Israel, and hotels and real estate around the world.

[ Learn more about the cloud. See Xerox Promotes Cloud Services For SMBs. ]

Email, in particular, is fundamental to Jordache's daily operations, Silver said. "Email is a system that, unlike 10 years ago, is very critical. It's basically a phone, an order taker, a secretary, all in one," he said. "It is essentially the bloodline of a business and how it interacts inside and outside." The company had been using Novell GroupWise but found it was spending too much time on upgrades, hardware maintenance, and bandwidth management. "All of those issues are taken away because the ability to support that infrastructure is given over to Google," Silver said.

Google Apps held several appeals for Silver. "It had full integration with all types of devices, it was easy to deploy and access no matter where you are the in the world, and it gave our users the flexibility to interact with the business environment, especially from the communication point of view," Silver said.

He also felt costs were more transparent when the company began researching its alternatives for email and related functions in mid 2010. Silver first contacted Microsoft but found pricing problematic, noting "it was a high level of negotiation." Google won out with the no-haggle model. "They're not one of these traditional businesses that's going to make you negotiate from one point to another point, and you have to fight for every penny," he said. "Pricing was flat."

Google's APIs--and the surrounding ecosystem they fuel--were another factor. Jordache is essentially all-in with Google from a productivity, collaboration, and communications standpoint. They use Docs, Drive, Sites, YouTube, you name it. Silver likes that he can plug in admin tools like BetterCloud's FlashPanel without much pain. These are the types of tools and applications that "maybe Google themselves aren't looking to build, but they certainly give a very open infrastructure that allows for their partners to provide different opportunities to interface with their products," Silver said.

Jordache has also reaped strategic gains within its MIS/IT group, which numbers around 15 people, as a result of the company's cloud shift. "It allows us to concentrate our resources on more appropriate infrastructure needs that are customized to our business," Silver said. Those include Jordache's distribution centers, which demand IT's attention to networks, scanner functionality, and integrating the ERP platform across systems and locations around the globe.

There's another, less obvious factor in Jordache's cloud transition. A fashion business must reinvent itself to stay cool--whatever that might mean in a given year--and Silver believes Jordache as an employer must remain equally hip. The right technology enables people to get things done efficiently and effectively, sure. It can also feed an organizational mindset that uses trendy tech to keep employees engaged.

"It doesn't just mean that your designs are cool; it doesn't just mean your jeans are the latest style that everyone wants," Silver said. "It means that you're in an environment that requires every part of your company [to] reflect forward-moving opportunity. That's what consumers respond to, and that's what employees respond to."



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.