Reading between the lines with your survey data: what aren’t they telling you?

Reading between the lines with your survey data should not be necessary, but it is a reality that every business must face. Even with the most well developed surveys there is always the unfortunate reality that customers are not filling them out accurately to provide you the information you need to improve your business and generate increased success. Continue reading

Ways that Survey Data Can Be Used to Make Big Improvements

Survey Data Collection

Survey Data Can Lead to Big Improvements

Survey data is one of the easiest forms of data to obtain to rate overall customer experience and satisfaction so you can make beneficial changes to your business. Whether your business is brick and mortar, online, or both, you can gear your customer surveys to ensure that you gain the data you need to improve product or service quality, improve customer service, maintain market share through competitive offerings, and improve the overall level of the customer experience. Continue reading

Intuition, a good idea & the right data: the secret sauce of marketing success

Acquiring good customer data is onlyAnalyzing Survey Data one ingredient in “the sauce” for successful marketing, but you need to realize that it is just the base ingredient. Through surveys and demographic data, you can gain the foundation that will allow you to make informed decisions on which direction to go with your marketing strategies. However, savvy entrepreneurs and other business professionals understand that they need to trust their instincts and creativity to develop a successful and effective marketing strategy. Continue reading

mTAB supported Clemson student project unveiled at SEMA 2012

mTAB Survey Analysis services proudly supported the Clemson University Deep Orange 3 vehicle prototype unveiled at last week’s SEMA show.

Clemson Deep Orange 3The Deep Orange program at Clemson University enables students to fully develop a new vehicle concept, from needs analysis to a completely engineered implementation.

The Deep Orange program runs the course of two academic years in parallel with Clemson’s two-year masters program in automotive engineering. The program provides students with experience in financial and market analysis, vehicle design, development, prototyping and production planning, and gives them an opportunity to work with automotive industry partners to develop ideas. Continue reading

Introducing Capella Tabulation, the Fastest and Easiest Tool in Customer Experience Management

Maritz Research partners with veteran software provider to dive deeper into data.

St. Louis (PRWEB) October 31, 2012

Maritz ResearchMaritz Research today announced the release of Capella Tabulation, the newest addition to Capella™, Maritz’ end-to-end customer experience management system. In partnership with veteran analytic software provider Productive Access, Inc. (PAI), Capella Tabulation allows the end user to dive into their customer experience metricsMaritz Research by providing custom queries, unlimited variable selection with unmatched flexibility and speed in computation. Continue reading

Lead with Data Driven Decisions

Lead DataInformation is the prime asset of enterprise, the departure point for all decisions leading to product innovation, marketing strategy, and ongoing competitive advantage.  IT generates an abundance of business information; the problem is selecting data most useful to your enterprise purposes and using it to devise suitable long-term objectives.  Data driven decision-making is based on big data analytics, which particularizes and coordinates enterprise-derived information towards specific organizational objectives. Analyzing large data-sets for assessment of strategic performance is the current best practice technique of enterprise decision-making. Continue reading

Latent Variables in Data Analysis

Latent variables are variables that are not directly observed, but are inferred through other data. Once data is accumulated it is typically presented through the usage of oval diagrams.

Latent variables correspond to real current physical aspects. For example, when a store determines where to place products on shelves next to other products that were observed to be bought together by most customers, this can be considered latent variables within survey data. Continue reading

Customer Satisfaction Survey: Is it too soon?

Every good customer survey should be utilized with proper timing. This is a critical factor which ultimately determines how effective your survey is. The issue of timing should include both when to do it and how often, as well.

In reality, you should be committed to gaining an understanding of what your customers think about your products and services. You should be excited to get insight into what to adapt in order to get more customer satisfaction. However, presenting a customer survey too soon is like a half-baked cake. Continue reading

Designing Effective Customer Satisfaction Surveys

When customers want to feel effective, they can be motivated to take customer research surveys. The easier it is to do this, the more likely they will be to fully comply. The more compelling the invitation to participate, the more likely it is you will get the results you need.

Just as surveys give information that improves results, surveys that follow specific guidelines have more chance for capturing the necessary information. Design template choices can be pivotal for specific results. As with most things, the simpler it is to comply, the more likely it is you will get your needs met.
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3 Types of Factor Analysis

Market research and analysis of large volumes of data are necessary when it comes to analyzing and determining the right market segment, potential demand, and potential areas of competition, product development requirements and all other facets of the business marketing portfolio. One of the most common tools used to deal with the vast amounts of data is Factor Analysis. Continue reading