Occam's Razor

APRIL 21, 2014

The mistake we make is that we obsess about every big, small and insignificant analytics implementation challenge and try to fix it because we want 99.95% comfort with data quality. We wonder why data people are not loved. :). I believe these two posts with a collection of some of my favorite metrics will inspire you: 1.

Marketing Analytics 131

Marketing Analytics Marketing Analytics Measurement 131

datapine

DECEMBER 4, 2019

We can safely say that chatbots will have the power to restructure business processes, enable easier communication between humans and data while ensuring that chatbot technologies such as natural language processing will bring added value to companies. Graph Analytics.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

datapine

FEBRUARY 17, 2023

That said, data and analytics are only valuable if you know how to use them to your advantage. Poor-quality data or the mishandling of data can leave businesses at risk of monumental failure. In fact, poor data quality management currently costs businesses a combined total of $9.7 million per year.

Analytics 191

Analytics Cost-Benefit Dashboards Business Intelligence 191

Andrew White

JANUARY 11, 2021

I believe the focus would align to governance policies that are in focus: quality, privacy, security, retention, access and ethics, etc. On end user clients calls, are you hearing a greater focus on use cases and greater need for prescriptive analytics, ex marketing analytics, sales analytics, healthcare, etc.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52