Ontotext

MAY 5, 2023

It involves specifying individual components, such as objects and their attributes, as well as rules and restrictions governing their interactions. It is reused in modeling the publication of entity data or regulatory-mandated data exchange, as seen in the example provided below. FIBO represents such a common vocabulary.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

Andrew White

JANUARY 11, 2021

What is unique about the D&A Leadership Vision is that it crossed over into business since for many organizations, the CDO reports into the CEO or COO (as examples). The fill report is here: Leadership Vision for 2021: Data and Analytics. Value Management or monetization. Product Management. Governance.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

IBM Big Data Hub

APRIL 4, 2024

This enables proactive decision-making, ensures consistency and improves operational efficiency. Also, BPM provides real-time insights into compliance metrics and risk exposure, enabling proactive risk management and regulatory reporting.

Management 62

Management Cost-Benefit Metrics Consulting 62

Cloudera

AUGUST 21, 2021

Cloudera’s customers in the financial services industry have realized greater business efficiencies and positive outcomes as they harness the value of their data to achieve growth across their organizations. Data enables better informed critical decisions, such as what new markets to expand in and how to do so.

Data-driven 101

Data-driven Digital Transformation Risk Risk Management 101

CIO Business Intelligence

APRIL 12, 2022

Driving this parallel growth in smart manufacturing and supply chain technology are a handful of technologies: Industrial Internet of Things (IIoT):devices that enable data collection from more interaction points, factory automation, shipment tracking via GPS and machine-to-machine (M2M) and machine-to-people (M2P) communications Artificial intelligence (..)

IoT 105

IoT Analytics Manufacturing Cost-Benefit 105

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