Analysts Corner

OCTOBER 26, 2023

Data Analysis: The data analysis component of BI involves the use of various tools and techniques to explore, analyze, and visualize the data, enabling users to derive valuable insights and make informed decisions.

Business Intelligence 130

Business Intelligence Business Intelligence Supply Chain Data Mining 130

Marutitech

APRIL 7, 2022

Even though the organization leaders are familiar with the importance of analytics for their business, no more than 29% of these leaders depend on data analysis to make decisions. More than half of these leaders confess a lack of awareness about implementing predictions. Predictive Analytics: History & Current Advances .

Predictive Analytics 98

Predictive Analytics Data Modelling Data Mining Data Requirement 98

Marutitech

DECEMBER 17, 2021

You leave for work early, based on the rush-hour traffic you have encountered for the past years, is predictive analytics. Financial forecasting to predict the price of a commodity is a form of predictive analytics. Simply put, predictive analytics is predicting future events and behavior using old data.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Astera

JANUARY 23, 2024

Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. Traditional data warehouses with predefined data models and schemas are rigid, making it difficult to adapt to evolving data requirements.

Agile 52

Agile Data Warehouse Data Quality Government 52

Sisense

AUGUST 11, 2019

BI lets you apply chosen metrics to potentially huge, unstructured datasets, and covers querying, data mining , online analytical processing ( OLAP ), and reporting as well as business performance monitoring, predictive and prescriptive analytics.

Business Intelligence 75

Business Intelligence Business Intelligence Data Mining Predictive Analytics 75

The BAWorld

NOVEMBER 22, 2021

Data Modeling. Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. For example, accurate data processing for ATMs or online banking. Predictive Analytics. Data Mining.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Data Pine

NOVEMBER 27, 2019

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. It’s an extension of data mining which refers only to past data.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144