article thumbnail

Vendor Security is Key to Preventing Future Data Breaches

Smart Data Collective

As data breaches continue to be a serious concern, organizations need to take stringent measures to protect against them. One issue that they need to take into consideration is the importance of third-party data security risks caused by improper vendor security. The truth is that data breaches are as common as ever.

article thumbnail

What is Integrated Business Planning (IBP)?

IBM Big Data Hub

Continuous monitoring and performance management Integrated Business Planning is an ongoing process that requires continuous monitoring of performance against plans and targets. Key performance indicators (KPIs) are established to measure progress and enable proactive management.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

Amazon Redshift features like streaming ingestion, Amazon Aurora zero-ETL integration , and data sharing with AWS Data Exchange enable near-real-time processing for trade reporting, risk management, and trade optimization. Apart from generating regulatory reports, these teams require visibility into the health of the reporting systems.

article thumbnail

How to build a successful procurement strategy

IBM Big Data Hub

Gather diverse insights, understand needs and manage expectations. Stakeholder engagement is key to ensure the strategy is well-planned and supported throughout the organization. Determine business objectives Define specific measurable, achievable, relevant and timely (SMART) objectives for the procurement function.

article thumbnail

Project management: Tips, tools, best practices

CIO Business Intelligence

Quality management: Identify quality requirements. Human resource management: Plan and identify human resource needs. Communications management: Plan stakeholder communications. Risk management: Perform qualitative and quantitative risk analysis, plan risk mitigation strategies.

article thumbnail

Managing machine learning in the enterprise: Lessons from banking and health care

O'Reilly on Data

After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. In the remainder of this post, we'll list the key areas and recommendations covered in SR 11-7, and explain how they are relevant to recent developments in machine learning.

article thumbnail

A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

datapine

While analysts focus on historical data to understand current business performance, scientists focus more on data modeling and prescriptive analysis. We have seen that restaurants can also benefit from analytics and there are many big data examples that also show how analytics can help measure employee satisfaction as well as improve it.