Remove Data Collection Remove Data Enablement Remove Data-driven Remove Risk Management
article thumbnail

The Foundations of a Modern Data-Driven Organisation: Change from Within (part 2 of 2)

Cloudera

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. Collecting workforce data as a tool for talent management. Collecting workforce data as a tool for talent management.

article thumbnail

Everything You Need to Know About Project Management Dashboard

FineReport

Moreover, the implementation of an effective Project Management Dashboard facilitates data-driven decision-making and sustainable business success. This approach is facilitated by project management dashboards, which enable you to monitor, optimize, and enhance project performance while boosting overall team productivity.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

The Power of Ontologies and Knowledge Graphs: Practical Examples from the Financial Industry

Ontotext

Knowledge Representation In the context of the Financial Services Industry domain, the most popular examples of such data are entity (Who?) These two key data elements are used in approximately 80% of the use cases in the sector. Integrating reporting to move to a more streamlined, efficient approach to data collection.

article thumbnail

How data from IoT devices is changing supply chain analytics

CIO Business Intelligence

That is changing with the introduction of inexpensive IoT-based data loggers that can be attached to shipments. Data loggers connect to centralized data management systems and transfer their readings, enabling efficient recording, analysis and decision-making. Democratization of data.

IoT 105
article thumbnail

What is a Data Pipeline?

Jet Global

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.