The always dynamic data environment makes it difficult for organizations to avoid change. In my last post, I talked about how change management can bolster data governance programs. It can also be used for other activities, including taking a portfolio-driven approach to business intelligence and adopting a new enterprise application
This may be controversial coming from someone that has worked with data his entire career, someone that has been involved with software vendors focused on data integration and access for the last 6 years, and someone that is responsible for product marketing for SAS data management capability, but I’ll say
Are you one of those people that love doing analysis? If so, there is nothing quite like analyzing customer patterns, revenue trends, inventory levels, cost optimization, etc. -- especially when you can use that analysis to make changes that will optimize your business. But before you can start the analysis,
Many of us in the SAS world are responsible for the data that feeds the various business intelligence, analytics and business solutions provided by SAS. We’ve been involved in data integration, data migration, data quality, ETL / ELT, data access projects that support SAS solutions or are used for other
