Remove Data Enablement Remove Interactive Remove Risk Remove Risk Management
article thumbnail

Business process management (BPM) examples

IBM Big Data Hub

Benefits: Automated claim processing Reduced processing times Enhanced visibility Compliance and risk management By automating routine tasks and implementing predefined rules, BPM enables timely compliance with regulatory requirements and internal policies.

article thumbnail

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

Ontotext

It involves specifying individual components, such as objects and their attributes, as well as rules and restrictions governing their interactions. For example, it can identify subsidiaries of a parent company or detect hidden ownership structures that may be indicative of reputational risk, fraud or regulatory violations.

Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

Data-driven competitive advantage in the financial services industry

Cloudera

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.

article thumbnail

How data from IoT devices is changing supply chain analytics

CIO Business Intelligence

Traditional supply chain analytics and decision-making focused on risk avoidance and control. The more data you have, the more costs you save.

IoT 105
article thumbnail

The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

But we also know not all data is equal, and not all data is equally valuable. Some data is more a risk than valuable. Additionally, the value of data may change, and our own personal judgement of the the same data and its value may differ. Value Management or monetization. Product Management.

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. By processing data as it arrives, streaming data pipelines support more dynamic and agile decision-making.