Jet Global

JULY 8, 2020

What Is a Distribution KPI? A distribution Key Performance Indicator (KPI) or metric is a measure that a company in the distribution sector uses to monitor its performance and efficiency. These metrics help companies identify areas of operational success and failure through measuring specific quantifiable aspects of their business.

Metrics 52

Metrics Reporting KPI Key Performance Indicator 52

datapine

JUNE 5, 2019

According to the EMC Digital Universe study, by 2020, around 40 trillion megabytes – or 40 zettabytes – will exist in our digital landscape. Enter data dashboards – one of history’s best innovations in business intelligence. When it comes to business intelligence, data dashboards play a pivotal role.

Dashboards 316

Dashboards KPI Sales Visualization 316

Jet Global

MARCH 4, 2020

What Is A Manufacturing KPI? A manufacturing Key Performance Indicator (KPI) or metric is a well defined and quantifiable measure that the manufacturing industry uses to gauge its performance over time. Why Your Company Should Be Using Manufacturing Specific KPIs to Stay Competitive. How to Build Useful KPI Dashboards.

Manufacturing 80

Manufacturing Metrics Reporting KPI 80

datapine

MARCH 22, 2019

Businesses that want to retain their customers, increase consumer loyalty, and encourage brand advocacy must provide personalized, responsive, seamless experiences across all channels and touchpoints. Exclusive Bonus Content: Get our short guide to CES and NPS! Read here how these metrics can drive your customers’ satisfaction up!

Metrics 134

Metrics Dashboards Measurement Interactive 134

Rita Sallam

APRIL 2, 2023

In 2020, we analyzed population health data. An autocorrelation forecasting model to identify parameter estimators, associated with relevant variables, that impact the likelihood of flooding events. Between the years 2000 and 2020, river flooding in Louisiana caused crop damages worth $270 million and property damages worth $9.1

Optimization 52

Optimization Machine Learning Insurance Risk 52

Birst BI

AUGUST 23, 2018

For example, there are a plethora of software tools available to automatically develop predictive models from relational data, and according to Gartner, “By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.” [1]

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

FineReport

FEBRUARY 5, 2020

Nowadays, the business intelligence market is heating up. Both the investment community and the IT circle are paying close attention to big data and business intelligence. The metadata here is focused on the dimensions, indicators, hierarchies, measures and other data required for business analysis.

Metadata 98

Metadata Dashboards Informatics Visualization 98