My previous post pondered the term disestimation, coined by Charles Seife in his book Proofiness: How You’re Being Fooled by the Numbers to warn us about understating or ignoring the uncertainties surrounding a number, mistaking it for a fact instead of the error-prone estimate that it really is. Sometimes this fact appears to
Tag: analytics
Errors, lies, and big data
Thinking like the customer: the value in mapping the customer journey
Data-driven marketing is all about how marketers can harness data and analytics to create a more customer-centric, fact-based approach to customer engagement. This, combined with quality execution leads to better customer experiences and improved customer equity. However when looking at customer-brand interactions in silos such as in the call centre
What an IT project manager should know about analytics projects
Imagine this situation: You go to you doctor and tell her that "something hurts in the lower chest area." Now, based on this short description of your pain, you expect her to come up with a precise diagnosis and a specific therapy suggestion, including treatment time and associated cost. Sound