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,
The insurance industry is full of clichés regarding data: “data rich, information poor,” “data is the lifeline for insurers” and the old favorite “garbage in, garbage out.” Insurance is an industry that relies on solutions to help businesses gain insight into risk, cause of loss and resulting claims. They need
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
What's the Fifth Law of Data Quality? Jim Harris explains.
