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

Astera

JUNE 5, 2024

Streaming ETL is a modern approach to extracting, transforming, and loading (ETL) that processes and moves data from source to destination in real-time. It relies on real-time data pipelines that process events as they occur. Events refer to various individual pieces of information within the data stream.

Real-time Data 52

Real-time Data Data Warehouse Healthcare Monitoring 52

Astera

DECEMBER 7, 2023

By processing data as it streams in, organizations can derive timely insights, react promptly to events, and make data-driven decisions based on the most up-to-date information. Logistics and Supply Chain Management Batch processing helps optimize logistics operations by analyzing supply chain data.

Supply Chain 52

Supply Chain E-Commerce Data Warehouse Real-time Data 52

Astera

DECEMBER 7, 2023

By processing data as it streams in, organizations can derive timely insights, react promptly to events, and make data-driven decisions based on the most up-to-date information. Logistics and Supply Chain Management Batch processing helps optimize logistics operations by analyzing supply chain data.

Supply Chain 52

Supply Chain E-Commerce Real-time Data Data Warehouse 52

Astera

MAY 6, 2024

Data mining goes beyond simple analysis—leveraging extensive data processing and complex mathematical algorithms to detect underlying trends or calculate the probability of future events. What Are Data Mining Tools? Advanced Data Transformation : Offers a vast library of transformations for preparing analysis-ready data.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

MAY 31, 2024

On the other hand, Data Science is a broader field that includes data analytics and other techniques like machine learning, artificial intelligence (AI), and deep learning. Spend less time on data logistics and more on deriving valuable insights. Centralize high-quality data for streamlined analysis.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

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. It is used to answer the question, “Why did a certain event occur?” Exploratory Data Analysis.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98