Datapine Blog

MARCH 25, 2022

Using our previous definitions, BI would be the process of identifying all the statistics and plays that led to your team winning. Predictive analytics : This method uses advanced statistical techniques coming from data mining and machine learning technologies to analyze current and historical data and generate accurate predictions.

Business Intelligence 105

Business Intelligence Intelligence Intelligence Business 105

Datapine Blog

OCTOBER 10, 2019

If you don’t have the ability (or desire) to ask your end-user what KPIs are valuable to them, our KPI examples and templates will give you a pretty good idea of what metrics you can use. e) How are they currently viewing these KPIs? However, even though we love data, we can’t (and shouldn’t) display all of these types.

Retail 58

Retail KPI Sales Data Mining 58

Zoominfo

APRIL 23, 2020

What Is Data Quality, and Why Is It Important For Sales and Marketing? You may think that a motivated sales team can easily conduct manual data mining by searching job titles and company info via Google or LinkedIn. Bad data is a slippery slope to multiple points of failure: ROI numbers become skewed.

Sales 189

Sales Intelligence Intelligence Profiling 189

CXL

NOVEMBER 15, 2022

Presenting the data in an aesthetically pleasing way also makes your audience more likely to share on social media, spreading your brand’s awareness. Match visuals to the data. Good data can easily be lost in a bad chart. Turning raw data into eye-catching visuals requires the help of data visualization tools.

Marketing 84

Marketing Marketing Data Mining Information 84