Analytic Services
Sunday, 04 January 2009 18:15
ECOMARK GROUPS
CLUSTER ANALYSIS
Cluster analysis is a statistical procedure that identifies homogeneous groups or clusters of individuals. In marketing research, cluster analysis is often used to determine whether there are distinct groups of customers with different needs, preferences, perceptions, product usage and purchasing behavior. By understanding how customers differ, management can develop products and/or marketing strategies that are tailored to each group’s individual needs.
K-means analysis is a clustering technique that can be used to create customer segments. This type of cluster analysis uses a procedure in which individuals are assigned and reassigned to "clusters" or "segments" repeatedly until each individual is assigned to a final segment. Each final segment is comprised of individuals who are more similar to other people within that segment than those in other segments. This method implicitly minimizes the diversity within each segment -- and thus, in this case, produces distinct segments with homogenous needs, preferences, etc.
FACTOR ANALYSIS
Factor analysis is a statistical technique that is used to identify the structure within a set of variables. By examining the association among variables, factor analytic techniques produce a smaller set of variables or factors that represent the underlying dimensions of the original set of variables. Each factor is not a single, directly measurable entity, but rather a construct that is derived from the measurement of the original set of variables. This technique is often used for the purpose of data reduction -- that is, reducing a large number of variables to a smaller set of factors greatly simplifies the description and understanding of large sets of data.
Consider an example of a data set that includes preference ratings for a very large number of specific foods such as bread, apples, blueberry pie, cereal, spare ribs, green beans, watermelon, chocolate mousse, pasta, ham, asparagus, artichoke, and roast beef. A factor analysis of this data set would distill this large amount of information by identifying the dimensions that underlay the individual ratings.
More specifically, dimensions are identified for groups of variables that are highly intercorrelated with each other, but are not highly correlated with variables outside of that group. In this data set, for example, we might expect a fairly high association among preferences for cereal, pasta and bread -- that is, in general, the higher an individual's preference for bread is, the higher we might expect his preference would be for pasta and cereal. However, knowing an individual's preference rating for cereal, pasta, and bread would probably not be very useful in predicting that individual's preference rating for any other food on the list. If this were the case, these three variables would be represented by a factor that might be called the "starch" factor. Cereal, bread and pasta would then be said to "load" on the "starch" factor. Besides the "starch" factor, other factors likely to emerge in this example include "fresh fruits," "deserts," "green vegetables," and "beef."
When a small number of factors account for most of the variance in the original set of data, we can "explain" the original set of variables in terms of a smaller set of factors without losing important information. Simplifying large sets of market research data in this way provides a conceptual clarity that facilitates one's comprehension of the data and its strategic marketing implications.
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Market Engineering Research Methodology
Sunday, 04 January 2009 17:41
ECOMARK GROUPS

Market Engineering Research Methodology
To develop research services, Ecomark Group employs a rigorous and comprehensive Market Engineering Methodology:
1. Define Market Problems, Needs, and Opportunities: At this stage, the research team identifies why this market justifies an extensive research service.
2. Determine Research Objectives: The research team determines the research objectives that must be implemented to address the issues identified in Step 1.
3. Create Optimal Research Team: Each research project's success is based on a well-developed, diverse team.
4. Launch Data Collection Phase: During this phase, the research team designs and implements the data collection process.
5. Design Interview Strategy: Skilled interview design analysts construct effective survey instruments to optimize information flow and quality.
6. Test Survey Design: The research team tests interview surveys extensively for clarity and accuracy before they are implemented on a large scale.
7. Conduct Primary Market Research: The core of every study is the primary data coming directly from industry participants.
8. Analyze Research and Determine Market Position: The research team now begins to identify the most important part of any market research project: Where is the market today?
9. Perform Market Analysis and Forecasting: At this stage, the research team analyzes the market in relation to technical trends, market dynamics, and future directions.
10. Develop Strategic Recommendations: Experience and analytical insight combine to drive action-oriented recommendations.
11. Confirm Results with Quality Control: All text, figures, and exhibits are verified for accuracy.
12. Implement Market Monitoring and Customer Feedback Review: The market analysts review results with clients and continue to track the market for new trends.
Innovation: How to Get the Most From Your Best Ideas
Sunday, 04 January 2009 00:57
ECOMARK GROUPS
If organizations are to achieve and sustain high performance, they need to regard innovation as a business discipline, and then manage and execute it accordingly—as an end-to-end process, from insight development to idea generation to development to marketplace launch. Over the past few decades, the drive to manage with more rigor and more assurance of predictable results has enabled organizations to design and perform virtually every major business process with an eye toward achieving high performance by maximizing productivity and minimizing costs. But when the C-suite turns its attention to business innovation, a usually hard-nosed management team may suddenly go a bit soft. The same executives who arm themselves with spreadsheets and analytical tools when it comes to reengineering a supply chain may suddenly start making plans to send their managers to think-tank retreats, complete with New Age music and beanbag chairs.
Because it is associated with free-spirited creativity, inspiration and even whimsy, innovation is too often seen as being at the mercy of some sort of temperamental muse—a mysterious phenomenon rather than a manageable business process. Not surprisingly, that means executives today are struggling, not in terms of committing to innovation in principle, but in their ability to execute innovation initiatives effectively.
Ecomark Group research supports that conclusion. Executives certainly understand the importance of innovation to their company’s success. In fact, 62 percent of respondents to our recent innovation survey, conducted in association with the Economist Intelligence Unit, say their business strategy is “largely” or “totally” dependent on innovation. And commitment isn’t an issue: Almost 53 percent of those surveyed believe their organization’s commitment to innovation is “stronger” or “much stronger” than that of their competitors.
But significantly lower numbers think their company’s innovation execution is as effective as it needs to be. Only 36 percent believe their organization’s pace and speed of innovation is stronger than their competitors’, and just 40 percent feel they exceed their peers in terms of frequency of innovation.
If organizations are to achieve and sustain high performance, they need to regard innovation as a business discipline, and then manage and execute it accordingly—as an end-to-end process, from insight development to idea generation to development to marketplace launch.
Last Updated on Sunday, 04 January 2009 09:07
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Overcoming Barriers to Innovation
Monday, 15 December 2008 18:19
ECOMARK GROUPS

Business strategy is driven largely by innovation, but corporate responsibility for the innovation process is highly fragmented, according to findings of a recent Ecomark Group survey.
The survey, conducted by EUI, of 601 senior executives in the United States, United Kingdom, Germany and Canada found that innovation is a top corporate priority, but it also indicated that more senior-level accountability, greater CEO involvement and improved speed-to-market execution can help companies deliver on their promise of innovation and boost their competitiveness.
"The role of the CEO in the innovation process has grown dramatically in its importance and needs to evolve from vision- and direction-setting to enabling and driving execution," said Dan Chow, a senior executive in the Ecomark Group Process & Innovation Performance service line. "CEOs need to properly align resources and action with the innovation vision and performance goals. However, simply having a vision for innovation and naming an executive to head innovation is not enough to make it work. Senior management must look at innovation as a core process to be actively managed; avoid a quick-fix approach; and focus their energy on execution."
Driving Greater Returns, Predictable Outcomes and Market Leadership
Monday, 15 December 2008 18:17
ECOMARK GROUPS

The prospect of change is in the air for US manufacturers, with many unknowns on the horizon, including increasing competition, uncertain world economies and the implications of national politics. With this as a backdrop, the time is right to reinforce one of the foundation stones of the industry—its ability to innovate and stay ahead of the competition.
US manufacturing has weathered recessions, governmental changes and diverse economic challenges. Yet finding the right paths to innovation is more important today than ever before. Manufacturers must be adept in developing effective innovation strategies and practices; delivering innovation to customers; and developing innovation capabilities in their people.
This report, a joint effort of Ecomark Group and the Manufacturing Institute, suggests a number of paths that US-based manufacturers can explore to deliver the innovation that is the lifeblood for change and growth. It provides a summary of the state of innovation today and identifies actionable innovation insights that manufacturers can adapt to improve performance.
The report is based on three inputs:
* Key findings from original research conducted during the June 2008 Innovation Roundtable, co-sponsored by Ecomark Group and The Manufacturing Institute, and composed of a diverse group of US manufacturing senior executives.
* Innovation perspectives and approaches from Ecomark Group’s work with clients, namely companies that have made innovation a pillar of their growth strategies in their quest to become high-performance businesses.
* Information from additional interviews with members of the National Association of Manufacturers (NAM) to elaborate on practices suggested in the roundtable.
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