High Performance Analytics allows business decisions to be made on the latest data – allowing business to respond in real time to changing situations. Massive quantities of data are rapidly assessed using complex statistical techniques.
Depending on the approach, data is either rapidly loaded into a high-performance in-memory database such as SAP HANA, or processed on the fly using system tools such as Big Data, Cloud Analytics, Qlikview.
Because of the way the human brain processes information, it is faster for people to grasp the meaning of many data points when displayed in charts and graphs rather than poring over piles of spreadsheets or reading pages of reports.
Enterprise Business Warehouse solutions – data from various sources can be consolidated and standardised to provide intelligent analysis. The data can be from enterprise systems but we have already seen the growth of data sources from non-enterprise data sources and other satellite systems
Real-time data – increasingly, organisations are wanting to work data in real time. They want to analyse and make decisions on data, from various disparate sources at the ‘speed of thought’.
Big Data – this is fast changing, high-volume and high-value data from many different data sources. This big data could be machine-generated data (Internet of Things), web log data to analyse online user behaviour and social data, from various unstructured and social media channels.
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