For Analytics teams, working with SD is becoming increasingly common. It involves receiving data and managing the analytics activities from that point onwards without having to worry about validity, accuracy and origins of the data received. This article has been written to provide a brief overview ... Read More

When new to Analytics, challenges to implementing consistent, valid and effective practices, procedures and processes are inevitable. In this article, I am going to discuss some of the key issues that SMEs need take into account and to treat with care (particularly when they are only starting out wi... Read More

Interpretive Analytics focuses not only (and not so much) on number crunching (quantitative analysis of the data available) but also on qualitative interpretations of the data sets. Furthermore, interpretivism is sometimes expanded beyond the data sets and is applied to the contextual settings (such... Read More

When the ruthless Pandemic hit the State of Victoria (Australia), the State Government placed its hopes for containing its spread on what they‘ve been referring to ‘’a highly sophisticated’’ Contact Tracing Program. Unfortunately, the initial contact tracing efforts appeared to have failed miserably... Read More

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