Descriptive Analytics Interactive Unstructured Data 
CIO Business Intelligence
FEBRUARY 6, 2025
They promise to revolutionize how we interact with data, generating human-quality text, understanding natural language and transforming data in ways we never thought possible. From automating tedious tasks to unlocking insights from unstructured data, the potential seems limitless. And guess what?
Domino Data Lab
JANUARY 21, 2021
For example: Observing the frequency of missing data across a dataset’s features often tells one which features can be used for the purposes of modeling out of the box (e.g., Computing interactions of all features on a pairwise basis can be useful for selecting, or de-selecting, for further research. imputation of missing values).
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Sisense
JUNE 30, 2020
The role of visualizations in analytics. Data visualization can either be static or interactive. Interactive visualizations enable users to drill down into data and extract and examine various views of the same dataset, selecting specific data points that they want to see in a visualized format.
FineReport
APRIL 26, 2023
The value of Big Data is not solely dependent on the volume of data available, but on how it is utilized. The Big Data ecosystem is rapidly evolving, offering various analytical approaches to support different functions within a business. Descriptive Analytics is used to determine “what happened and why.”
CIO Business Intelligence
APRIL 9, 2025
This capability has become increasingly more critical as organizations incorporate more unstructured data into their data warehouses. The quantitative models that make ML-enhanced analytics possible analyze business issues through statistical, mathematical and computational techniques.
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