Descriptive Analytics Risk Unstructured Data 
Sisense
JULY 23, 2021
Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.
Domino Data Lab
JANUARY 21, 2021
There is a risk of injecting bias. Additionally, the Python ecosystem is flush with open source development projects that maintain the language’s relevancy in the face of new techniques in the field of data science. Customized Pandas Profile with improved histogram binning and embedded variable descriptions. ref: [link].
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Sisense
JUNE 30, 2020
Analytics acts as the source for data visualization and contributes to the health of any organization by identifying underlying models and patterns and predicting needs. Broadly, there are three types of analytics: descriptive , prescriptive , and predictive. Visualizations: past, present, and future.
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
In Prioritizing AI investments: Balancing short-term gains with long-term vision , I addressed the foundational role of data trust in crafting a viable AI investment strategy. Like most, your enterprise business decision-makers very likely make decisions informed by analytics.
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