Analysts Corner

OCTOBER 26, 2023

Statistical Analysis: Statistical analysis involves the use of mathematical and statistical techniques to analyze data, identify trends and patterns, and make predictions based on the observed data.

Business Intelligence 130

Business Intelligence Business Intelligence Supply Chain Data Mining 130

The BAWorld

NOVEMBER 24, 2023

Organizations may gain a competitive advantage, streamline operations, improve customer experiences, and manage complicated challenges by analyzing massive amounts of data. As the volume and complexity of data increase, DA will become increasingly important in managing the digital age’s difficulties and opportunities.

Data Analytics 52

Data Analytics Data Analytics E-Commerce Healthcare 52

Smart Data Collective

JUNE 19, 2019

As such, you should concentrate your efforts in positioning your organization to mine the data and use it for predictive analytics and proper planning. The Relationship between Big Data and Risk Management. This technique applies across different industries, including healthcare, service, and manufacturing.

Big Data 176

Big Data Logistics Monitoring Data Analytics 176

Sisense

AUGUST 14, 2020

Whether it’s core to the product, as with a stock market forecasting algorithm in Quants, or a peripheral component, such as a healthcare domain chatbot that diagnoses diseases via dialog with a patient, building reliable AI components into products is now part of the learning curve that product teams have to manage. .

Healthcare 98

Healthcare Cybersecurity Predictive Analytics Artificial Intelligence 98

Astera

MAY 4, 2023

AI-Generated Synthetic Data S ynthetic data is artificially generated data statistically similar to real-world information. With businesses increasingly utilizing business intelligence, leveraging synthetic data can help overcome data access challenges and privacy concerns.

Business Intelligence 40

Business Intelligence Business Intelligence Predictive Analytics Supply Chain 40

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