Strategic big data: The concept of a single enterprise data warehouse containing all information needed for decisions is dead. Multiple systems, including content management, data warehouses, data marts and specialized file systems tied together with data services and metadata, will become the "logical" enterprise data warehouse. The key thing here is companies moving beyond single, big data projects. Dealing with data volume, variety, velocity and complexity is forcing changes to many traditional approaches. This realization is leading organizations to abandon the concept of a single enterprise data warehouse containing all information needed for decisions. Instead they are moving toward multiple systems, including content management, data warehouses, data marts and specialized file systems tied together with data services and metadata, which will become the "logical" enterprise data warehouse.
Actionable analytics: We have reached the point in the improvement of performance and costs that we can afford to perform analytics and simulation for each and every action taken in the business. Not only will data center systems be able to do this, but mobile devices will have access to data and enough capability to perform analytics themselves, potentially enabling use of optimization and simulation everywhere and every time. Fixed rules and prepared policies gave way to more informed decisions powered by the right information delivered at the right time, whether through CRM or ERP or other applications. The new step is to provide simulation, prediction, optimization and other analytics, not simply information, to empower even more decision flexibility at the time and place of every business process action.
Think of the additional value if we could look at an action as it is taking place, predict the results, spot the fraud that will ensue and be able to stop it before it materializes. What if we could predict the likely sales in a store from remaining inventory for various possible purchases at this moment, and offer inducements to a customer to pick the product right now that maximizes likely total revenue for the remainder of the day?
Advanced analytics also involves new technologies to search unstructured content and other search enhancements.
Mainstream in-memory computing: The execution of certain-types of hours-long batch processes can be squeezed into minutes or even seconds allowing these processes to be provided in the form of real-time or near real-time services that can be delivered to internal or external users in the form of cloud services. Millions of events can be scanned in a matter of a few tens of millisecond to detect correlations and patterns pointing at emerging opportunities and threats "as things happen." The possibility of concurrently running transactional and analytical applications against the same dataset opens unexplored possibilities for business innovation. Numerous vendors will deliver in-memory-based solutions over the next two years driving this approach into mainstream use.
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