The Data Analysis Challenge !

Researchers and analysts oftentimes encounter various challenges when undertaking statistical and mathematical analysis.  Some of the challenges include choosing the wrong test for a particular data, misuse or inaccurate use of the statistical tools, inaccurate data retrieval and application process, biased hypothesis generation, and robustness issues. Other challenges in data analysis include ascribing predictions as facts, using data without error correction or treatment, violation of normality and linearity assumptions, handling outliers, and difficulty obtaining consistent data findings. Also, elementary issues, such as correctly tackling flawed theoretical models that tend to skew the analysis in a given direction, continue to be a problem for both researchers and analysts.

 

Masterly is a London-based research and development network, which connects research institutions and businesses to modellers from all over the world.