Organizations use standard business intelligence (BI) technology to guide data management strategies and operations. But that's just not enough in today's increasingly complex, information-driven world.

While traditional BI technologies are adequate for solving business problems by reviewing historical information, they aren't equipped to create models that can anticipate future problems and opportunities.

This paper outlines one option that incorporates advanced analytics to bridge the gap between reporting on historical trends and predicting future outcomes. Read on to learn how:

• To optimize operations by determining the best alternative given competing business objectives and real-world constraints
• Benefits of a combined data warehouse and advanced appliance
• And more