Analysts Corner

OCTOBER 26, 2023

Techniques Used in Business Intelligence There are several techniques commonly used in Business Intelligence to analyze and derive insights from data: Data Mining: Data mining involves the exploration and analysis of large data sets to discover patterns, trends, and relationships that can be used to make informed decisions and predictions.

Business Intelligence 130

Business Intelligence Business Intelligence Supply Chain Data Mining 130

Astera

MAY 26, 2023

They pull out the necessary data—ofttimes manually entering it into enterprise databases—and process payments accordingly. How did the retailer circumvent this challenge? With AI-driven data extraction in place, invoice processing has become nearly self-serving.

Retail 40

Retail Supply Chain Finance Data Quality 40

The BAWorld

NOVEMBER 24, 2023

The blog discusses key elements including tools, applications, future trends, and fundamentals of data analytics, providing comprehensive insights for professionals and enthusiasts in the field. Businesses leverage data analytics to enhance sales forecasting, refine customer segmentation, and optimize supply chain management.

Data Analytics 52

Data Analytics Data Analytics E-Commerce Healthcare 52

Astera

JUNE 14, 2023

Limitations of Manual Document Data Extraction Besides being error-prone and time-consuming, manual document data extraction has several other challenges and limitations, including: Lack of Scalability: Manual methods are not scalable, making it challenging to handle increasing volumes of documents efficiently.

Documentation 52

Documentation Supply Chain Healthcare Logistics 52

Astera

MAY 6, 2024

Data mining tools help organizations solve problems, predict trends, mitigate risks, reduce costs, and discover new opportunities. Process Optimization: Data mining tools help identify bottlenecks, inefficiencies, and gaps in business processes. It utilizes artificial intelligence to analyze and understand textual data.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

MAY 11, 2023

The Power of Synergy: AI and Data Extraction Transforming Business Intelligence The technologies of AI and Data Extraction work in tandem to revolutionize the field of Business Intelligence. AI can analyze vast amounts of data but needs high-quality data to be effective.

Business Intelligence 40

Business Intelligence Business Intelligence Supply Chain Logistics 40

Data Pine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 3) Artificial Intelligence.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144