For example, a major telecommunications company can automatically monitor customer defections and, by applying complex business rules to determine the value of each customer, act to retain the valuable ones within 24 hours. Previously, such analysis was only useful for long term strategic planning because answers could not be produced quickly enough. Companies incorporating analytic modeling and scoring directly in the DBMS engine offer a compelling solution for organizations that desire mixed workload capabilities rather than the traditional multi-tier analytic architectures commonly implemented in other DBMSs. Demand chain management is another activity energized by Teradata's enhanced software. For example, a major retailer can optimize the quantity of flu medicines on its shelves by tracking daily purchases of items like cough syrup and aspirin to map the spread of flu across the United States.
Businesses operate in an increasingly complex decision environment.
Let's say you manage a European hub for an international courier company. You have a disabled plane in Dusseldorf with 20,000 packages on board, some with guaranteed delivery. To take the best action, you need to be able to get answers to multiple questions like aircraft and crew availability, shipment and customer profitability, and impact to the flight schedule. To boost speed, Teradata performs data mining operations such as data preparation, analysis, analytical model development and execution inside the database, rather than consuming precious time by moving large amounts of data in and out of the data warehouse as it is processed. In addition to speed, accuracy is critical when relying on data to make insightful business decisions.