Rocket-Powered Data Science

MARCH 19, 2021

One of the primary drivers for the phenomenal growth in dynamic real-time data analytics today and in the coming decade is the Internet of Things (IoT) and its sibling the Industrial IoT (IIoT). One group has declared , “IoT companies will dominate the 2020s: Prepare your resume!” trillion by 2030. trillion by 2030.”.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

Rocket-Powered Data Science

JULY 14, 2023

I recently saw an informal online survey that asked users what types of data (tabular; text; images; or “other”) are being used in their organization’s analytics applications. This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative.

Analytics 166

Analytics Internet of Things Prescriptive Analytics Data Science 166

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. What is the point of those obvious statistical inferences? Let’s define what these are.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

FineReport

APRIL 11, 2023

Data Visualizations : Dashboards are configured with a variety of data visualizations such as line and bar charts, bubble charts, heat maps, and scatter plots to show different performance metrics and statistics. Financial dashboards are useful for monitoring business performance and for financial planning and analysis.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

datapine

NOVEMBER 27, 2019

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. Share the essential business intelligence trends among your team!

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Jet Global

MAY 9, 2024

Real-Time Analytics Pipelines : These pipelines process and analyze data in real-time or near-real-time to support decision-making in applications such as fraud detection, monitoring IoT devices, and providing personalized recommendations. As data flows into the pipeline, it is processed in real-time or near-real-time.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52