Ontotext

FEBRUARY 19, 2020

Clean your data to ensure data quality. Correct any data quality issues to make the data most applicable to your task. This includes removing invalid or meaningless entries, adjusting data fields to accommodate multiple values, fixing inconsistencies, etc. Maximize the usability of your data.

Modeling 90

Modeling Knowledge Discovery Data Quality Visualization 90

Ontotext

SEPTEMBER 15, 2020

Consider using data catalogs for this purpose. Clean data to ensure data quality. Correct any data quality issues to make the data most applicable to your task. This includes removing invalid or meaningless entries, adjusting data fields to accommodate multiple values, fixing inconsistencies, etc.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

Ontotext

MARCH 8, 2023

Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. Yet, the biggest challenge for risk analysis continues to suffer from lack of a scalable way of understanding how data is interrelated.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

Ontotext

AUGUST 31, 2023

While a knowledge graph can exist without an ontology, an ontology is often represented in a knowledge graph because of the natural human desire to organize data—visually or in structure. Unlock the full potential of your data!

Modeling 64

Modeling Knowledge Discovery Optimization Enterprise 64

Ontotext

AUGUST 21, 2024

Capturing data, converting it into the right insights, and integrating those insights quickly and efficiently into business decisions and processes is generating a significant competitive advantage for those who do it right. The goal should be to create value without really caring what is being used at the backend.

Knowledge Discovery 52

Knowledge Discovery Cost-Benefit Data-driven Metadata 52