Rocket-Powered Data Science

JULY 19, 2023

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage.

Data-driven 186

Data-driven Enterprise Analytics Machine Learning 186

Smart Data Collective

JULY 1, 2023

The resulting structured data is then used to train a machine learning algorithm. Address their questions and clarify any uncertainties promptly. Random sampling and quality checks Randomly select a subset of annotated data for thorough manual review.

Metrics 64

Metrics Machine Learning Uncertainty Deep Learning 64

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Model-driven DSS.

Data mining 130

Data mining Data-driven Statistics OLAP 130

Cloudera

SEPTEMBER 29, 2021

In a world rife with uncertainty, governments need to ensure that their citizens’ health and well-being are taken care of even as they seek to keep their economies afloat. Through processing vast amounts of structured and semi-structured data, AI and machine learning enabled effective fraud prevention in real-time on a national scale. .

Digital Transformation 79

Digital Transformation Data Governance Data-driven Uncertainty 79

CIO Business Intelligence

JUNE 28, 2022

Text by itself doesn’t have much structure to begin with, but when you’ve got a pile of text written by hundreds or thousands of employees over dozens of years, then whatever structure there is might be even weaker. Even structured data is often unstructured.

Management 133

Management Internet of Things Statistics Data-driven 133

Sisense

OCTOBER 6, 2020

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Jet Global

MARCH 2, 2021

That’s because modern BI tools were not designed to work with the unique challenges of finance data. They prefer nicely structured data, and they don’t work so well with the ragged hierarchies of your typical chart of accounts.

Reporting 98

Reporting Slice and Dice Finance Operational Reporting 98