Knowledge Hut

MARCH 27, 2024

Big data tools are used to perform predictive modeling, statistical algorithms and even what-if analyses. Some important big data processing platforms are: Microsoft Azure. Why Is Big Data Analytics Important? Data can be processed for the application of big data analysis over the cloud and segregated using Xplenty.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

ProjectPro

MAY 23, 2015

Walmart started making use of big data analytics much before the term Big Data became popular in the industry. In 2012, Walmart made a move from the experiential 10 node Hadoop cluster to a 250 node Hadoop cluster. How Walmart uses Big Data? Walmart has a broad big data ecosystem.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

JANUARY 15, 2021

For a machine learning model to perform different actions, two kinds of datasets are required – Training Dataset - The data that is fed into the machine learning algorithm for training. Test Dataset or Validation Dataset – The data that is used to evaluate and test that the machine learning model is interpreting accurately.

Machine Learning 40

Machine Learning Datasets Retail Banking 40

ProjectPro

APRIL 2, 2015

Retail Analytics truly started with Target having figured out, quite early on – that data analytics can take the consumer buying experience to a whole other level. Amazon provides data driven recommendations to customers depending on previous purchase history, browser cookies, and wish lists.

Retail 40

Retail Hadoop Big Data Data Mining 40

Knowledge Hut

SEPTEMBER 24, 2024

An algorithm widely used in US hospitals to allocate healthcare to patients has been systematically discriminating against black people, a sweeping analysis has found. Hospitals and insurers use the algorithm and others like it to help manage care for about 200 million people in the United States each year.

Hospitality 52

Hospitality Medical Algorithm Government 52

ProjectPro

JUNE 24, 2021

According to Gartner , organizations can suffer a financial loss of up to 15 million dollars for the poor quality of data. As per McKinsey , 47% of organizations believe that data analytics has impacted the market in their respective industries. It groups together data points that have similar characteristics.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40