Smart Data Collective

SEPTEMBER 16, 2020

These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data. These statistical models are growing as a result of the wide swaths of available current data as well as the advent of capable artificial intelligence and machine learning.

Predictive Analytics 319

Predictive Analytics Pharmaceutical Artificial Intelligence Data Mining 319

Domo

MARCH 17, 2017

Domo was also invited to be part of the future session panel, discussing ways executives can navigate the next decade as brand ambitions flourish alongside advances in big data, automation, real-time analytics, artificial intelligence and personalization.

Artificial Intelligence 52

Artificial Intelligence Master Data Management Government Big Data 52

Marutitech

DECEMBER 17, 2021

Simply put, predictive analytics is predicting future events and behavior using old data. Predicting future events gives organizations the advantage to understand their customers and their business with a better approach. You can make use of a regression algorithm for predicting the subsequent outcomes of time-driven events.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Argon Digital

OCTOBER 24, 2023

From budgeting, expense tracking, and account reconciliation, to risk management and compliance reporting, nearly every financial process can be automated to some degree. This capability is particularly impactful in financial environments bustling with large volumes of complex data.

Financial Analysis 52

Financial Analysis Predictive Analytics Finance Artificial Intelligence 52

Astera

MAY 6, 2024

Data mining goes beyond simple analysis—leveraging extensive data processing and complex mathematical algorithms to detect underlying trends or calculate the probability of future events. What Are Data Mining Tools? It utilizes artificial intelligence to analyze and understand textual data.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

SEPTEMBER 28, 2023

Use Cases It supports diverse use cases, including data integration, data migration, and event processing. It is specifically used for preparing data for analytics, reporting, and business intelligence. Data Quality Maintaining data quality is not always a requirement.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Data Pine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 3) Artificial Intelligence.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144