Enterprise and logical data warehouse architectures and the analytical and machine intelligence software becoming available can provide organisations with an ‘analytical workspace’.
We build enterprise data warehouses for many of our customers to provide a single window on their business management information and key performance indicators that is used by them as their trusted foundation for business decision making. The emergence of larger, higher velocity and perhaps more unstructured data sources from the Internet or from the Internet of Things has meant that our customers are also engaging us to deliver an extended logical data warehouse architecture to support the data analytics software that is now emerging. The end result is that organisations may have the benefit of a centralised data repository but can also have an architecture that allows for agile discovery and analysis work to test a new idea, assimilate new data sources or perform a new analysis.
This combination of enterprise and logical data warehouse architectures and the increasingly sophisticated analytical and machine intelligence software becoming available is giving organisations an ‘analytical workspace’ with the emphasis leaning more to discovery and analysis and less to data harmonisation and organisation – producing the speed of delivery and speed of deployment that our customers need.
We satisfy these business needs with the IBM PureData System for Analytics, powered by Netezza technology, because it integrates database, analytics, server and storage into a single, easy-to-manage appliance that requires minimal setup and ongoing administration. This appliance approach simplifies business analytics dramatically by consolidating all analytic activity into the appliance where the data resides producing dramatic performance gains and lower total cost of ownership.