Data-driven rules are rules that generate focused transactions in response to specific data in Oracle HFM. Data-driven rules can be faster, safer, and easier to write than more standard approaches. As data volumes rise with the introduction of 64-bit HFM, the technique should be an essential part of every HFM developer's toolkit.
This presentation covers the benefits and pitfalls of data-driven rules and how to identify where they should be used.
Your presenter is Keith Berry, the domain lead for financial applications for US-Analytics, has been working with Hyperion software for fourteen years and has been a Hyperion consultant for a decade. He has worked on a variety of Essbase and HFM projects, including a multi-year stint as technical architect for a large Hyperion implementation. Prior to joining US-Analytics, Keith worked for Hyperion/Oracle Consulting. He is a CPA and holds an MBA from the University of Texas at Austin.