According
to recent research by Gartner, the top priorities for CIOs in 2012
include analytics and business intelligence. This makes perfect
sense as companies realize they need to leverage their
internal and external data sources to better compete in rapidly
changing markets. Analytics, including the analysis of web
data, have become a mainstay in both the consumer and B2B marketing
environments. Most analytics operations include a forward looking
component, whereas business intelligence (BI)...Continue Reading »
According
to recent research by Gartner, the top priorities for CIOs in 2012
include analytics and business intelligence. This makes perfect
sense as companies realize they need to leverage their
internal and external data sources to better compete in rapidly
changing markets. Analytics, including the analysis of web
data, have become a mainstay in both the consumer and B2B marketing
environments. Most analytics operations include a forward looking
component, whereas business intelligence (BI)...Continue Reading »Does X Cause Y?
Friday, January 27, 2012 by
Greg Timpany
As a marketer I am always curious about the impact of marketing
activities and purchase behavior. In short, I wonder if our
activities cause people to purchase our products and services. The
notion of causality goes back some time in the area of social,
economic and business research. Our colleagues in the physical and
life sciences have a much easier time asserting that X causes Y.
Such is not the case in the business world.
With that said the advent of web analytics and marketing automation has...Continue Reading »
With that said the advent of web analytics and marketing automation has...Continue Reading »
Where to Place your Open-Ends
Thursday, January 26, 2012 by
Greg Timpany
Survey research, be it for marketing, economic, social or health
reasons, like any scientific endeavor has its share of debate.
Recently I spoke about the interval vs. ordinal nature of
psychometric scales, e.g. Likert, and the stir it has caused.
Another example is the placement of open-ended questions in
surveys.
Open-ended questions are as close as most quantitative researchers typically get to qualitative work. Not only is placement a concern, by design they allow respondents the option...Continue Reading »
Open-ended questions are as close as most quantitative researchers typically get to qualitative work. Not only is placement a concern, by design they allow respondents the option...Continue Reading »
Data Types: Interval and Ratio Data
Wednesday, January 25, 2012 by
Greg Timpany
In
marketing research, as well as other forms of social, economic and
business research, interval and ratio data are
king. Yet as we have seen in other posts there is much
that can be done with
nominal and
ordinal data. What makes interval and ratio data exciting is
that they support a full-range of statistical tests and
transformations.The difference between interval and ratio data is simple. Ratio data has a defined zero point. Income, height, weight, annual sales, market share, product...Continue Reading »
Survey Reporting Made Easier: Dynamic Date Filters
Wednesday, January 25, 2012 by
Cvent Client Services
It is common for many organizations to run ongoing surveys in order
to collect continuous feedback. While it is easy to gather the data
cumulatively, it takes more work to collect data on a weekly or
monthly basis. Previously, you needed to run a separate report each
time you needed data: 12 times a year for monthly reports.
Cvent has now added dynamic date filters to
our online survey reporting engine which will make data collection
easier.
In many of our standard reports you will now see a...Continue Reading »
In many of our standard reports you will now see a...Continue Reading »
Imporance of Qualitative Feedback
Wednesday, January 25, 2012 by
Swati Karve
The survey is one of the most important means of collecting data.
The advantage is that it can be given to a large sample that may
ensure a reasonable rate of return. However, the survey has
disadvantage—it may not yield the finer details for what you are
seeking data. For example, you have designed a customer feedback
survey. The questionnaire typically would be a YES/ NO type, or a
Rating Scale type of a questionnaire. If you want to measure every
possible variable, then the survey becomes...Continue Reading »
Why Measuring Employee Sentiment is Important
Tuesday, January 24, 2012 by
Greg Timpany
January is an excellent time to step back and review your talent
pool for the coming year. Each year employees leave their current
position for a new one. There are many reasons for this, with
salary being amongst them. A recent projection by Phil Reeves, who
conducts salary studies on behalf of the marketing research
industry, reported that job changers can expect to see
bumps of 15–20% compared to 0–3% for those who stay
put.
My current salary study for the IT industry shows similar...Continue Reading »
My current salary study for the IT industry shows similar...Continue Reading »
The Problem With 360 Reviews
Tuesday, January 24, 2012 by
CM Arnold
Performance
reviews are a necessary evil in the workplace. The good news is
that the one-way, annual performance evaluation where an employee
gets to hear about the all things she did wrong over the past year,
and maybe a few that she did right, isn't the be all and end all of
the review process. The 360 performance review has gained some
traction, but it, too, has its limitations ... and
detractors.People like Nancy Clark, founder of Leadership Dynamics, Inc. believe that 360 reviews do more... Continue Reading »
Data Types: Ordered Data
Tuesday, January 24, 2012 by
Greg Timpany
One could say there is a natural order to things. In survey
research when we think of order we think of ordinal data. What
differentiates this data type from nominal data is that we can
leverage the respondent’s willingness to rank their choices. This
takes the analytical options up a notch from measuring simple
percentages and modal values.
Ordinal data is literally data that can be placed into an order. This can be applied to baseball teams, horse racing, consumer preferences, or your place in...Continue Reading »
Ordinal data is literally data that can be placed into an order. This can be applied to baseball teams, horse racing, consumer preferences, or your place in...Continue Reading »
Training Evaluations: Who is Responsible?
Monday, January 23, 2012 by
Swati Karve

In times when every penny counts, there is more demand on training managers to “prove” that training has paid off. Most organizations follow Kirkpatrick’s 4 Levels of Evaluation:
- The immediate feedback: The smiley sheets at the end of the training program where participants respond to questions on trainer, training materials, facilities and other aspects of the training
- Improvement in knowledge: This measures to what degree training has improved the conceptual knowledge of the participants
- Applicat...
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