Artificial Intelligence (AI) and Machine Learning (ML) have become popular mainstream topics. You no doubt have read about them or seen programs about them. Typically, they are presented as very complex topics that require specialized computer processing and large teams of highly experienced data scientists. This was true for many years but it is beginning to change and Oracle is at the forefront of this change. Oracle has built machine learning capabilities directly into its Cloud BI platform, Oracle Analytics Cloud (OAC), thereby making functionality like ML and predictive analytics available to regular business analysts (BAs). BAs who are willing to explore this new functionality will find a broad array of ML capabilities that don’t require an extensive background in ML or data science. They will be able to interact with and analyze data in ways they previously have not done and they will be able to add a whole new level of analytical value to their organization – enabling the data-driven decision making so many organizations are pursuing. This functionality is part of the Data Visualization component of OAC and is natively available without any special licensing. In this post, I will show you how to use the machine learning capabilities in Oracle Analytics Cloud to predict HR attrition. It is easy to use and requires no writing of computer code but here are some quick points to know before we begin:Continue reading “Using Machine Learning in Oracle Analytics Cloud to Predict HR Attrition”
Myles has more than 20 years of global experience in the design and deployment of large scale ERP and data warehousing/BI solutions. He spent the first 10 years of his career at a Big 4 consulting firm leading international ERP and BI deployments including Oracle and SAP. He then moved into industry where he held senior management positions in Business Intelligence and Corporate Finance Technology. He has a unique blend of deep experience in both the ERP and BI arenas. Myles has lived and worked in Tokyo, London and Hong Kong and has a demonstrated track record of delivery in complex environments. He has leveraged a blended onshore/offshore model for the last 10 years.