THE DRIVERS OF THE NEXT PHASE OF RISK MANAGEMENT
Businesses continue to adopt risk management programs and integrate it into their corporate strategies. According to Forbes, three key areas needing attention include improving the ability to turn data into insights, finding and retaining risk management talent and improving compliance efficiency and effectiveness.
THE SEC LOOKS TO PREDICTIVE ANALYTICS
Predictive analytics are lending a helping hand on Wall Street. A new article in FCW says the Security and Exchange Commission is now using a predictive analytics risk assessment model to “evaluate risks facing the brokerage industry regulated by the agency and, potentially, to pinpoint firms headed for trouble.”
CATEGORIZING BIG DATA
Simplifying big data is easier said than done, but The VAR Guy has broken down big data into five categories for clarification. They include exploration & discovery, external & multi-type data sources, low latency, inflight data & real time analytics, insight, correlation & context, and oversight, enterprise, operations and security.
CREATING A UNIFIED DATA MANAGEMENT INFRASTRUCTURE
“If you don’t have quality data, you can’t be sure about anything.” That’s the gist of a new article in Banking Technology looking at the benefits of enterprise-wide data management. The article states that centralized data management should help to improve the accuracy of data and reinforce data consistency.
ASSESSING YOUR DATA AND ANALYTICS LEVEL
Every organization is at a different level of data and analytics maturity. Marketing Daily says a company can determine its maturity level by looking at six key components: Governance, Objectives, Scope, Team & Expertise, Improvement Process Methodology and Tools, Technology & Data Integration.