Business Over Broadway

SEPTEMBER 27, 2018

Figure 1 includes a good illustration of different data sets and how they fall along these two size-related dimensions (For the interested reader, check out the figure in an interactive graphic ). Siloed data sets prevent marketers from gaining a complete understanding of their customers. underspecified) due to omitted metrics.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

Smart Data Collective

MARCH 11, 2022

This article will go over the concept of customer service analytics and some of the uses and advantages it could provide to a business. What Is Customer Service Analytics? Customer service analytics assist you in tracking and comparing key performance indicators (KPIs) to service level agreements (SLAs).

Customer Analytics 115

Customer Analytics Analytics Key Performance Indicator Big Data 115

Occam's Razor

JUNE 6, 2007

Immediately actionable web analytics (your biggest worries covered). In 480 pages the book goes from from beginner's basics to a advanced analytics concepts. Bonus: Interactive CD: Contains six podcasts, one video, two web analytics metrics definitions documents and five insightful powerpoint presentations.

Analytics 60

Analytics Metrics Marketing Dashboards 60

Occam's Razor

MARCH 7, 2022

In posts about advanced segmentation , in posts about how to build strategic dashboards that don’t suck , in encouraging you to reimagine how you pick metrics to obsess about using the magnificent Impact Matrix , and on and on and on. In our world – marketing research and analytics – that word has come to represent data puking.

Key Performance Indicator 101

Key Performance Indicator Strategy Marketing Publishing 101

FineReport

APRIL 3, 2024

Key Features of BI Dashboards: Customizable interface Interactivity Real-time data accessibility Web browser compatibility Predefined templates Collaborative sharing capabilities BI Dashboards vs. BI Reports: While both dashboards and reports are pivotal in business intelligence, they serve distinct purposes.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

datapine

DECEMBER 4, 2019

Without a doubt, it’s a big technological advancement, and one of the big statistics buzzwords, but the extent to which it is believed to be already applied is vastly exaggerated. The commercial use of predictive analytics is a relatively new thing. The accuracy of the predictions depends on the data used to create the model.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Andrew White

JANUARY 11, 2021

But we are seeing increasing data suggesting that broad and bland data literacy programs, for example statistics certifying all employees of a firm, do not actually lead to the desired change. See: Tool: A Living Library of Real-World Data and Analytics Use Cases. We do have good examples and bad examples.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52