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The Datalere Decoder

Data Science

A discipline that draws on statistics, computer science, and machine learning to analyze and create predictions about data.

Added Perspectives

What the experts say.

Data science is, in many ways, an advanced and sophisticated form of analysis and reporting that is used to produce models for predictive and prescriptive analytics. Data lineage awareness through metadata can be used to communicate about the use of trusted data sources in the analysis. Data quality awareness through metadata is used to tune models to compensate for noise and uncertainty in the data, and to determine confidence levels and confidence intervals in some analytic models.
Dave Wells in Data Governance Automation: Making the Most of Data and Analytics Technologies April 30, 2020 (Report)
It may seem that business intelligence (BI) is similar to data science (DS). Data science encompasses predictive analytics, machine learning, data mining, and even parts of what is considered to be artificial intelligence. It is routinely touted as improving revenue, profit, and ROI. It is often presented as automated and able to discover knowledge. These huge impacts and the automated nature of many of its applications make DS particularly dangerous.
Stephen J. Smith in Data Science is Plutonium Powerful: Dangerous and Handle With Care October 11, 2017 (Blog)

Relevant Content

Keep reading.

Podcast

Alan Jacobson: How to Deliver ROI from Data Science

Sep 03, 2019 - In this episode, Wayne Eckerson and Alan Jacobson discuss several ways by which organizations can determine the value of data science projects.

Blog

Four Signs You Need A Data Science Platform

Aug 03, 2018 - To get to the next stage and operationalize their data science practice, companies will require a platform. 

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