While practical benefits of the Real-time data analytics over historic data analytics are obvious, it is also essential to understand and cater for its risks, challenges and limitations. Read More

Quantitative analysis is no panacea from mistakes and discrepancies. The purpose of this White Paper is to consider contemporary challenges of the Quantitative Big Data analysis activities. Read More

In recent months, my company (Baron Consulting) has been proactively involved in setting up Data Collection Systems for a range of Private and Public Organisations we are servicing. Some of the data collection challenges have already been discussed in our recent Raw Data Collection 2020: Principles ... Read More

Raw Data (also known and often referred to as Primary Data) collection is the starting point of any data analysis. Once the RD (Raw Data) is collected, it is processed to turn it into Information that can be converted into Knowledge further down the analysis track. The purpose of this White Paper is... Read More

No matter how accurate our analysis is, it has to be carried out on the basis of verifiable data sets that have been assembled and interpreted in accordance with the project requirements. This article discusses some of the most typical (as per my subjective point of view) pre-analytical mistakes.... Read More