article thumbnail

PCI compliance: The best defense is a great defense

CIO Business Intelligence

PCI DSS compliance is a robust defense that significantly mitigates the risks involved with all three. Researchers for the 2023 DBIR identified system intrusion, social engineering and basic web application attacks as the most common attack patterns that led to breaches and data theft.

article thumbnail

How to unlock a scientific approach to change management with powerful data insights

IBM Big Data Hub

Not only can data support a more compelling change management strategy, but it’s also able to identify, accelerate and embed change faster, all of which is critical in our continuously changing world. Process mining tools can perform a fit-gap analysis on new processes to rapidly and more accurately identify the greatest change impacts.

Insiders

Sign Up for our Newsletter

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

article thumbnail

SEC climate-related disclosure rules for public companies

IBM Big Data Hub

However, there will be a phase-in period for compliance, with the largest companies reporting, as required, on climate-related risks by fiscal year 2025 and on emissions by 2026. IBM offers products that help organizations track and report their environmental impact, and their exposure to climate risk. How can IBM help?

Risk 56
article thumbnail

How healthcare organizations can analyze and create insights using price transparency data

AWS Big Data

This is due to the complexity of the JSON structure, contracts, and the risk evaluation process on the payor side. Our AWS teams can assist you to identify the correct strategy by offering thought leadership and prescriptive technical support for price transparency analysis.

article thumbnail

The art and science of data product portfolio management

AWS Big Data

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. How do we define “risk” and “value” in the context of data products, and how can we measure this?