Data Science 101

OCTOBER 31, 2019

This data alone does not make any sense unless it’s identified to be related in some pattern. Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). Machine learning provides the technical basis for data mining.

Data mining 77

Data mining KDD Data Science Forecasting 77

CIO Business Intelligence

JULY 5, 2022

Business analytics is a subset of data analytics. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more. Business analytics techniques. This is the purview of BI.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems are generally recognized as one element of business intelligence systems, along with data warehousing and data mining. They are typically used for tasks including classification, configuration, diagnosis, interpretation, planning, and prediction that would otherwise depend on a human expert.

Data mining 144

Data mining Data-driven Statistics OLAP 144

Rocket-Powered Data Science

JULY 7, 2019

Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics). 7) Security (airports, shopping malls, entertainment & sport events). Edge Computing (and Edge Analytics): Industry 4.0: Examples: (1) Retail. (2) See [link].

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Smart Data Collective

JUNE 19, 2022

Finally, unexpected or unavoidable events, like the blockage of a major trade route or unprecedented and severe storms , can cause catastrophic delays that shut down manufacturing or prevent trade from coming or going to a region. You can use predictive analytics tools to anticipate different events that could occur.

Risk 144

Risk Cost-Benefit Risk Management Manufacturing 144

Smart Data Collective

FEBRUARY 20, 2022

Only this way can you survive disruptive events – such as a global pandemic – various changes and remain relevant when new trends emerge. This is possibly one of the most important benefits of using big data. Data analytics technology helps companies make more informed insights. Making Decisions More Easily.

Big Data 131

Big Data Management Finance Data-driven 131

BizAcuity

MAY 7, 2019

An area of predictive analytics, demand forecasting takes into account the historical data of a business and uses that to harnesses the demand for their goods and services. It also provides reasonable data for the organization’s capital investment and expansion decisions and eases the process of suitable pricing and marketing.

Forecasting 75

Forecasting IT Sales Statistics 75

IBM Big Data Hub

SEPTEMBER 19, 2023

The data science lifecycle Data science is iterative, meaning data scientists form hypotheses and experiment to see if a desired outcome can be achieved using available data. For example, retailers can predict which stores are most likely to sell out of a particular kind of product.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

IBM Big Data Hub

JULY 24, 2023

It tracks four important pillars: metrics, events, logs and traces (MELT) to understand the behavior, performance, and other aspects of cloud infrastructure and apps. It aims to understand what’s happening within a system by studying external data.

Analytics 54

Analytics IT Cost-Benefit Predictive Analytics 54

Smarten

MAY 24, 2018

ElegantJ BI, an innovative vendor in Business Intelligence, Augmented Analytics and Augmented Data Preparation, is pleased to announce its participation in the Gartner 2018 INDIA Data & Analytics Summit from 5 – 6th June 2018 in Mumbai, India. ElegantJ BI is proud to be a Silver Sponsor at this important event.

Analytics 40

Analytics Data Analytics Data mining Visualization 40

Jedox

JULY 31, 2018

First-generation EPM software tools enabled normal business users to view their data from various angles and store it safely in a database specialized for flexible planning, analytics, and reporting. Compared to today’s standards, analytics was often limited to trying to describe past events, hence the name, descriptive analysis.

Technology 44

Technology Prescriptive Analytics Machine Learning Business Intelligence 44

Cloudera

NOVEMBER 30, 2017

They hold a series of well-attended industry events that focus advancing the art of modern analytics and big data. TDWI Research is a leading research and consulting firm that focuses on broadening the knowledge and success of BI professionals worldwide.

Strategy 40

Strategy Big Data Data mining Visualization 40

FineReport

APRIL 26, 2023

Descriptive Analytics is used to determine “what happened and why.” ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. Unlike traditional databases, processing large data volumes can be quite challenging. How to Choose the Right Big Data Analytics Tools?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Jen Stirrup

OCTOBER 30, 2022

What distinguishes Data Mining from other methods of exploring data, and what is its usefulness? Critics might say that if you torture the data enough, it will eventually confess! Computers contain lots of data, but people need help to turn this data into intelligence.

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 52

Jet Global

MAY 1, 2023

All of the above points to embedded analytics being not just the trendy route but the essential one. Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” Diagnostic Analytics: No longer just describing.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52