Analysis by the High View Consulting Group

Analysis Services

We Deliver Qualitative and Quantitative Analysis in the Optimum Format for Your Business

Marketing research succeeds only when results are synthesized into actionable and user-friendly reports that are quickly distributed to the managers most able to affect change.

The High View Consulting Group will work closely with you in helping to drive the information we collect throughout your organization. We realize that organizations communicate in a wide variety of ways, which is why we offer an array of marketing research report options, from traditional written reports to more targeted specific formats.

Qualitative Analysis

The High View Consulting Group can bring out subjective data.

The High View Consulting Group’s proven techniques are specifically developed for optimal content/text analysis.

Qualitative research focuses on subjective data that is not coded into numbers. The emphasis is on words and behavioral patterns rather than frequency of data. Qualitative research tends to work with fewer subjects or respondents
(cases), however, each case is analyzed to a deeper level. It is particularly useful when decision makers need to better understand what motivates and moves the customer to action, is it a need, perception, price, referral and so on.

Quantitative Analysis

The High View Consulting Group is skilled in bringing out the details of your research findings.

The High View Consulting Group will adapt a specific quantitative analysis approach that will most effectively represent your research findings. Following are a few examples.

Analysis	Description	Example Application
Multiple Regression (Driver Analysis)
Multiple Regression (Driver Analysis)	Describes the relationship of each variable in a set (and the set of variables as a whole) to a single variable.	Determine key "drivers" of overall customer satisfaction with your service.
Cluster Analysis	Identifies homogeneous sub-groups within a much larger group of respondents.	Identify customer profiles or market segments, groups of customers or potential customers who make similar decisions and perceive products and services similarly.
Factor Analysis	Reduces a complicated data matrix into its more basic structural essentials.	Uncover basic dimensions employees use to evaluate how satisfied they are working for your organization.
Perceptual Mapping (Multidimensional Scaling)	Extracts multiple dimensions from a variable set and positions concepts within that space.	Visualize how customers mentally organize competitors in your product or service category and your brand's position relative to your competitors.
Structural Equation Modeling	Tests how well observed data confirm an entire theoretical model.	Describe the process by which customer loyalty is built for your particular product or service category.
Data Mining	Detects useful and sometimes unexpected patterns among variables in a data set.	Increase revenues by cross-selling your products.

. ^top