Octopai

JUNE 19, 2023

In an era where data is often referred to as the new oil, having a well-organized and easily accessible data catalog is no longer a luxury but a necessity as organizations deal with the deluge of too much data (data bloatedness) coming from every system and landscape.

Metadata 88

Metadata Data Governance Measurement Risk Management 88

FineReport

JUNE 7, 2023

It serves as a quick reference point for understanding the project’s overall status and progress. Risk Management : The risk management section summarizes all anticipated risks, enabling stakeholders to gain a comprehensive understanding of the project’s risk landscape.

Dashboards 52

Dashboards Management Visualization Cost-Benefit 52

Ontotext

MAY 5, 2023

Content and Knowledge Management Another benefit of ontologies is that they provide a structured framework for organizing, maintaining and using financial domain knowledge. This makes it easier to manage and update information as the industry changes. Do you want to benefit from an ontology-powered Financial Services knowledge graph?

Data Collection 64

Data Collection Risk Data-driven Interactive 64

CIO Business Intelligence

APRIL 12, 2022

The more data you have, the more costs you save. For example, you could integrate dynamic condition data from a logger with QR codes on product labels (which contain pre-set information about the product) and let customer systems process and cross-reference this integrated data using the logger’s API.

IoT 105

IoT Analytics Manufacturing Cost-Benefit 105

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. It is meant to be a desk-reference for that role for 2021. What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 9, 2024

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.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52