IBM Big Data Hub
SEPTEMBER 19, 2023
Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.
Cloudera
SEPTEMBER 22, 2022
The next step leads to performing exploratory, descriptive analytics, “why is this happening,” and so on. Finally, the end goal is to enable proactive, predictive analytics — “what if” — using applied ML and AI to better predict what will happen and recommend actions to prevent or manage activities as necessary.
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datapine
JANUARY 31, 2022
BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. Business intelligence can also be referred to as “descriptive analytics”, as it only shows past and current state: it doesn’t say what to do, but what is or was.
Sisense
JULY 23, 2021
During this period, those working for each city’s Organising Committee for the Olympic Games (OCOG) collect a huge amount of data about the planning and delivery of the Games. We get access, post-Games, to the ticket data to analyze any patterns in terms of incidents and responses.”.
Domino Data Lab
JANUARY 21, 2021
Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. 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. ref: [link]. ref: [link].
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