Smart Data Collective

OCTOBER 17, 2022

Email marketing is the most acceptable way to give precise customer data, but you must guarantee your efforts aren’t wasted. Using data analytics help your email marketing strategies succeed. Data Analytics’ Importance in Email Marketing. Types of data analytics. Segmentation.

Marketing 119

Marketing Optimization Data Analytics Analytics 119

Rocket-Powered Data Science

JULY 30, 2018

Behavioral analytics (predictive and prescriptive). Agile analytics (DataOps). To illustrate and to motivate these emerging and growing developments in marketing, we list here some of the top Machine Learning trends that we see: Hyper-personalization (SegOne context-driven marketing).

Machine Learning 199

Machine Learning Marketing Behavioral Analytics IoT 199

datapine

MARCH 25, 2019

This is one of the most important data analytics techniques as it will shape the very foundations of your success. To help you ask the right things and ensure your data works for you, you have to ask the right data analysis questions. Harvest your data. A data analytics methodology you can count on.

Key Performance Indicator 217

Key Performance Indicator Statistics Visualization Big Data 217

Smart Data Collective

APRIL 20, 2023

It unifies the capabilities of several different tools, such as: Sandboxing — to test the code in an isolated environment and determine whether it’s malicious User and Entity Behavior Analytics (UEBA) — for identifying anomalies Network Detection and Response (NDR) — to detect known threats within the network of a company Next-Gen SIEM is suitable (..)

Machine Learning 98

Machine Learning Reporting Behavioral Analytics Risk 98