Data research

Why Secondary Research? like existing research records! Well... how about never needing to mess with collecting data or methodological choices again?

Ever needed to combine data from different sources and different time periods and something always came up in Gibberish? Call us! Secondary Research!

Why Secondary Research? Like existing research records! Well... how about never needing to mess with collecting data or methodological choices again?
Secondary research makes use of existing sources like registrations, surveys, books, etcetera, applying or rearranging the information in them to bear on the problem or opportunity at hand. There are many rich sources of secondary research material, like medical records, production data and government agencies such as Bureaus of Census. Using secondary data can save time and money since the work has already been done to collect the data, and may provide a larger database than what would be possible to collect on one’s own.

Furthermore, it enables the researcher for combine data from different sources and different time periods. Of course, one needs to make careful methodological choices, considering data quality, comparability of samples, contextual influences at the time of field work or political or environmental events, which are related to the topic of the research, etc.

Quality of data analysis & interpretation! Do I have a problem?

Statistics should be usable for better decision making, and to increase the probability of success and desired results. Data analysis is a tried and tested way of identifying the factors that influence the results.
Professional analysis helps you to avoid several pitfalls, like:

   1. generalizing from non-representative samples

   2. interpreting a statistical association as a causal association

   3. leaving out relevant information that refines conclusions, etc.

We aim for long satisfied customers, not at "quick scoring" without being of substantial help to our customers. Solid Statistics! will always specify the limitations to the conclusions that can be drawn from your data. We attach great importance to the practical applicability of our reports!