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

Insight Software

OCTOBER 9, 2024

Here’s how real-time data enhances both operational and strategic decision-making: Operational Decisions : Operations teams can address issues on the fly, such as optimizing supply chains by monitoring stock levels, adjusting staffing based on demand, and improving logistics.

Real-time Data 52

Real-time Data Artificial Intelligence Retail Customer Experience 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

Marutitech

OCTOBER 8, 2021

You can creatively use advanced artificial intelligence and machine learning tools for doing research and draw out the analysis. Various classification algorithms involve statistical modelings like naive Bayes, support vector machines, deep learning, or logistic regression. Classification Algorithms .

Monitoring 98

Monitoring Documentation Logistics Customer Experience 98

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

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

Astera

MAY 6, 2024

Process Optimization: Data mining tools help identify bottlenecks, inefficiencies, and gaps in business processes. Whether it’s supply chain logistics, manufacturing, or service delivery, these tools optimize operations, reduce costs, and enhance productivity. It utilizes artificial intelligence to analyze and understand textual data.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52