CIO Business Intelligence
JUNE 7, 2022
What are the four types of data analytics? In business analytics, this is the purview of business intelligence (BI). Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance. For example, how might social media spending affect sales?
CIO Business Intelligence
JULY 5, 2022
Simplilearn adds a fourth technique : Diagnostic analytics: Why is it happening? Diagnostic analytics uses analytics techniques to discover the factors or reasons for past or current performance. Examples of business analytics. San Jose Sharks build fan engagement.
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IBM Big Data Hub
SEPTEMBER 19, 2023
Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes. Many functions of data analytics—such as making predictions—are built on machine learning algorithms and models that are developed by data scientists.
Rocket-Powered Data Science
OCTOBER 6, 2023
There are other dimensions of analytics that tend to focus on hindsight for business reporting and causal analysis – these are descriptive and diagnostic analytics, respectively, which are primarily reactive applications, mostly explanatory and investigatory, not necessarily actionable.
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FineReport
MARCH 24, 2024
Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue.
Domino Data Lab
MARCH 3, 2021
How do we track value enabled through better decision support such as a data science model or a diagnostic visualization versus an experienced manager making decisions? Data Scientists need to get better at marketing their own success inside organizations. For example, many sales organizations track sales quarterly.
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