FineReport

APRIL 26, 2023

This has led to the emergence of the field of Big Data, which refers to the collection, processing, and analysis of vast amounts of data. With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Smart Data Collective

OCTOBER 20, 2020

Companies need to use big data technology to effectively identify their target audience and reliably reach them. Big data should be leveraged to execute any GTM campaign. Christian Welborn recently published an article on taking a data-driven approach to GTM. There is no need to hire expensive data analysts.

Marketing 107

Marketing Data Analytics Analytics Big Data 107

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? It’s also necessary to understand data cleaning and processing techniques.

Machine Learning 58

Machine Learning Data Science Statistics Deep Learning 58

FineReport

JUNE 24, 2021

Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. On the opposite, it is more of a comprehensive application of data warehouse, OLAP, data mining, and so forth. BI software solutions often support multiple data source connections.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

Sisense

MAY 11, 2021

According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021! With that much data flowing into analytics systems, the right data model is vital to helping your users derive actionable intelligence from them. Dig into AI.

Modeling 84

Modeling Big Data IoT Data Warehouse 84