Big Data. Big Decisions
InformationWeek
Special Coverage Series


The Meaning Of N = 1 And R = G

These concepts go well beyond mass customization and offshore outsourcing.

The Nuance Of N = 1
Is N = 1 the same as mass customization or "the segment of one"? A segment-of-one strategy targets a customer at a time by learning a lot about her--demographics, spending patterns, etc.--but this is still a business-centric view of the consumer. Mass customization allows me, the consumer, to choose from a menu of products, but it's still the company's determination of what I may need. N = 1 changes this business-to-consumer view; it's a consumer-to-business-to-consumer view, if you will.

Consumers are joint problem solvers. Are the 6,000 application developers for Facebook part of a "segment of one"? How about bloggers for the New Age of Innovation site? Are they passive recipients of the knowledge in the book, or co-creators of new knowledge? N = 1 is about "personalized, co-creation of experiences"--not mass customization or a customer of one. These nuances are critical

-- C.K. Prahalad

More Than Cost Benefits
A student raised a central question during my MBA class recently regarding the concepts of N = 1 and R = G. His question: Does R = G mean outsourcing to the Far East? My answer was no, not necessarily, though I understand that the word "global" can be misleading in the current environment.

Let's take the example of a growing, privately held business called Zazzle. This is a U.S. company that allows customers to personalize a variety of products, everything from T-shirts and aprons to posters, coffee mugs, and buttons.

Zazzle provides a unique personalized experience for each customer to participate in the design of his or her product (i.e., "co-create," in the manner of N = 1). It fulfills customers' requests through partnerships with a number of local suppliers. The company also creates a platform for customers to sell their own designs in a market.

Zazzle's vast collection of digital images comes from content partners such as Disney and the Library of Congress, as well as individual artists and creative consumers worldwide. This is R = G at the individual level: Zazzle is leveraging the talent of individual customers.

So you can see why Zazzle's business model is different from conventional models in this domain, where companies usually make bulk purchases of mugs or T-shirts from offshore locations to leverage scale economies and cost benefits. It is the emergence of a new business model that enables co-creation with customers and leverages resources globally.

The power of digitization and imagination is enabling this evolution of new business models. It is not about a myopic cost-based argument for outsourcing to the Far East. It's about building clarity on what N = 1 and R = G mean for my business. Managers need to build internal capabilities in their business processes through social and IT architectures to progress in this New Age of Innovation.

-- M.S. Krishnan

Read InformationWeek's New Age Of Innovation blog at: newageofinnovation.com



Related Links

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.