CIO Business Intelligence

JULY 5, 2022

Predictive analytics is the use of techniques such as statistical modeling, forecasting, and machine learning to make predictions about future outcomes. Prescriptive analytics: What do we need to do? Simplilearn adds a fourth technique : Diagnostic analytics: Why is it happening? Business analytics dashboard components.

Business Analytics 126

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 126

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. 4) Predictive And Prescriptive Analytics Tools.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning.

Data Analytics 129

Data Analytics Diagnostic Analytics Management Analytics 129

IBM Big Data Hub

SEPTEMBER 19, 2023

Prescriptive analytics: Prescriptive analytics predicts likely outcomes and makes decision recommendations. An electrical engineer can use prescriptive analytics to digitally design and test out various electrical systems to see expected energy output and predict the eventual lifespan of the system’s components.

Data Science 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

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But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. Think your customers will pay more for data visualizations in your application? Five years ago they may have.

Visualization

CIO Business Intelligence

NOVEMBER 14, 2022

Bayer Crop Science has applied analytics and decision-support to every element of its business, including the creation of “virtual factories” to perform “what-if” analyses at its corn manufacturing sites. ERP dashboards. Dashboards and other user interfaces that allow users to interact with and view results. Clinical DSS.

Data mining 131

Data mining Data-driven Statistics OLAP 131

Rocket-Powered Data Science

JULY 14, 2023

Low-latency data access and delivery (system requirement) is necessary for delivery of low-latency analytics products (business user requirement). Along with the massive growth in sensor data (including location-based and time-based streaming data), there have emerged some special analytics categories that are growing in significance.

Analytics 165

Analytics Internet of Things Prescriptive Analytics Data Science 165