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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Descriptive analytics: Descriptive analytics evaluates the quantities and qualities of a dataset. A content streaming provider will often use descriptive analytics to understand how many subscribers it has lost or gained over a given period and what content is being watched.

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ChatGPT: le nuove sfide della strategia sui dati nell’era dell’IA generativa

CIO Business Intelligence

Nella Pubblica amministrazione c’è un ulteriore parametro che entra nella data governance: la maturità sugli open data. “Al Al momento stiamo sperimentando la nuova data platform per un numero selezionato di applicazioni mission-critical, come il processo di autoliquidazione. Ma ci aspettiamo di estenderla ad altri use-case”.

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Data Visualization and Visual Analytics: Seeing the World of Data

Sisense

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.

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Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

FineReport

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.