Does your survey platform do everything you want?
This article compares the different types of market research software available and their strengths and weaknesses. It stresses the need to consider data mobility.
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This article compares the different types of market research software available and their strengths and weaknesses. It stresses the need to consider data mobility.
Carrying out complex survey data analysis and producing crosstabs can mean that staff need to re-think and re-work every survey they handle. The unique design of MRDCL…
The importance of being able to move market research data easily between different systems has never been greater. If a software supplier tells you that their platform does everything you will ever need, be very suspicious.
Market research tracking studies are a valuable source of revenue for many research agencies. However, most of the software used in market research struggles with the practicalities that face researchers and data analysts when analysing tracking data.
This article compares the different types of market research software available and their strengths and weaknesses. It stresses the need to consider data mobility.
This article explores why we consider MRDCL to offer you unique advantages (the sales bit, you might say), explaining why it is different and also identifying the disadvantages.
Crosstabs have not become more complex in recent years, but the data that users of MRDCL and research data want to process has become more complex.
MRDCL offers almost limitless power when producing market research crosstabulations – and, importantly, it does this efficiently.
The unique design of MRDCL allows you to build customisable templates that can simplify complex or repetitive tasks. The technique is known as EPS (Excel Productivity Scripting).
The software you use for producing tables needs to analyse data in any standard data format used in market research. I am sometimes surprised at the limitations of many tabulation software packages and the time staff spend to prepare data before you can even produce one table.