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.
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.
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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.
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 .
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. Metadata is the data about data; it gives information about the data. for accurate analysis.
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