Big Data Predictive Analytics Prescriptive Analytics 
IBM Big Data Hub
APRIL 8, 2019
Prescriptive analytics helps identify the best course of action that can enable businesses to achieve organizational goals. Although figuring out what you should do is a crucial aspect of business, the value of prescriptive analytics is often missed.
Smarten
AUGUST 8, 2017
The common understanding of the world is that one should use predictive and prescriptive data on big data. A vast amount of data, classified and grouped, running analytics to predict what will be the next event that one or more elements of the group will take.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
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.
CIO Business Intelligence
JUNE 7, 2022
More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance.
Smart Data Collective
OCTOBER 13, 2021
There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. We would like to talk about data visualization and its role in the big data movement.
IBM Big Data Hub
SEPTEMBER 19, 2023
To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. And you should have experience working with big data platforms such as Hadoop or Apache Spark. For example, retailers can predict which stores are most likely to sell out of a particular kind of product.
Rocket-Powered Data Science
MARCH 19, 2021
Focus on the technologies and engineering components: e.g., sensors, monitoring, cloud-to-edge, microservices, serverless, insights-as-a-service APIs, IFTTT (IF-This-Then-That) architectures.
Expert insights. Personalized for you.
82 
Let's personalize your content