Data Analytics, Machine Learning and AI
Data is everywhere. That means more companies are tracking, analyzing, and using the insights they find to make better decisions. With big data technologies becoming more affordable and accessible, more and more companies are innovating how business is done. And as they innovate, more data piles up. The PNMS Business Analytics programme can help professionals leverage their organisation’s data to gain insights and make informed decisions. By understanding these analytics, you are taking a critical first step toward developing a strategic advantage and competitive edge in the market.
This could include:
- How to prepare and deal with highly unbalanced data for training
- How to use supervised learning and unsupervised learning techniques for risk analysis
- Learn the fundamentals of data analysis while building Python skills and visualizations through Tableau, amongst others.
Whether you are looking for a hands-on dive into analytical models to analyse risks or upgrading your programming skills to work to analyse transactional data to detect fraud, Covid-19 spread patterns, or for investing in the right properties, etc you would do well not to disregard advances in the modern techniques.
Other Tech Solutions
For most organizations, the account reconciliation process is manual, time consuming, and a major bottleneck in the financial close process. Medium to large companies commonly reconcile thousands of accounts during the quarter-end or month-end close, yet 65 percent rely on manual methods to determine whether adjustments are required. Leading finance departments are eliminating the risks of manual methods — missing or lost reconciliations, unreconciled accounts, improper use of roll-forwards, and insufficient justification or documentation — to protect their organizations against costly mistakes. The key is to not only automate the account reconciliation process but to fully integrate it with the financial close workflow.