Smart Data Collective

SEPTEMBER 16, 2020

This stems, largely, from the fact that there are certain data regulations in place when it comes to marketing tech and predictive analytics software. Business users need to determine whether or not their predictive analytics are meeting key needs or if the raw data, customer responses, and analytics methods are providing false positives.

Predictive Analytics 298

Predictive Analytics Pharmaceutical Artificial Intelligence Data Mining 298

Astera

JANUARY 25, 2024

Guide to the Workflow of Reverse ETL There are four main aspects to reverse ETL: Data Source: It refers to the origin of data, like a website or a mobile app. Data Models: These define the specific sets of data that need to be moved.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Smart Data Collective

APRIL 2, 2019

The primary reason data lakes were so attractive to companies was the promise of agile processing of data in order to provide real-time (or near real-time) results on data sets. In order for this to even be possible, the data visualization aspect needs to be streamlined to show exactly what the user wants to see.

Big Data 206

Big Data Agile Data Analytics Data Analytics 206

Marutitech

DECEMBER 17, 2021

You must be wondering what the different predictive models are? What is predictive data modeling? This blog will help you answer these questions and understand the predictive analytics models and algorithms in detail. What is Predictive Data Modeling? LSTM and Bidirectional LSTM.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140