IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 85

Data Science Data Analytics Prescriptive Analytics Analytics 85

CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

Data Analytics 131

Data Analytics Diagnostic Analytics Management Analytics 131

CIO Business Intelligence

JULY 5, 2022

What are the benefits of business analytics? What is the difference between business analytics and data analytics? Business analytics is a subset of data analytics. Predictive analytics: What is likely to happen in the future? Prescriptive analytics: What do we need to do?

Business Analytics 128

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 128

FineReport

APRIL 26, 2023

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. What is Big Data? What is Big Data? It is an ever-expanding collection of diverse and complex data that is growing exponentially.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

Alation

MARCH 21, 2023

As an industry with tight margins, travel and tourism companies can use analytics to detect trends that help them reduce costs, decide future product and service offerings, and develop successful business strategies. Why is data analytics important for travel organizations? How is data analytics used in the travel industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

IBM Big Data Hub

SEPTEMBER 30, 2022

With the new IBM Business Analytics Enterprise (BAE), we are bundling together Planning Analytics with Watson, Cognos Analytics with Watson and the new Analytics Content Hub. This enables a single point of entry for planning, budgeting, forecasting, dashboarding and reporting.

Business Analytics 52

Business Analytics Analytics Prescriptive Analytics Forecasting 52