Aleri Live OLAP
Operating in this business climate requires a constant flow of live information about markets, transactions, customers, and your operations – what we call Continuous Intelligence. Traditional “Business Intelligence” (BI) tools and analytics processes are designed for analyzing historical data – data from yesterday, last week or last month. They aren’t designed to work with data or the state of business that’s current (this hour, minute or second) and changing.
Aleri’s Live OLAP provides the critical analytic software services to power the Continuous Intelligence™ your organization needs to drive faster, in-the-moment decisions and actions. Analytic applications using Aleri LiveOLAP can be quickly and cost-effectively implemented enabling continuous multidimensional analysis that drives agile processes and personalized execution at any market, customer or operational touch-point.
Live OLAP, working in concert with Aleri CEP, delivers on three critical needs for Continuous Intelligence:
- Real-time analytical results – source data is aggregated and multidimensional analytics are generated incrementally in real-time, providing fresh intelligence as data changes.
- Granularity – the real-time analytic models can have any level of depth and size, and give the ability to drill-down to granular details to drive one-to-one actions.
- Rapid modeling and information delivery – the familiar modeling tools and support for OLAP standards speeds the analytic modeling process and delivery of information to business users
Features and Functionality
Responsive Real-Time Analysis
LiveOLAP's virtual cube technology efficiently performs in-memory incremental updates for real-time analytic results. While traditional OLAP technology that relies on batch loading and pre-aggregation of all data, virtual cubes incrementally update specific results within the virtual cube for each new fact and across new dimensions as they are sent from live feeds from the CEP Engine.
Powerful Calculation Engine
Live OLAP's virtual cube technology efficiently performs in-memory incremental updates for real-time analytic results. While traditional OLAP technology that relies on batch loading and pre-aggregation of all data, virtual cubes incrementally update specific results within the virtual cube for each new fact and across new dimensions as they are sent from live feeds from the CEP Engine.
Dynamic Dimensions
Rapidly changing data is not confined just to fact data – fresh data can introduce new dimensions, and time is a constantly changing dimension. In Live OLAP, dimensions can be derived from the CEP Engine, allowing new dimensions to be dynamically added and virtual cubes re-aligned for the new dimensions. Because the virtual cube technology does not pre-aggregate results, Live OLAP models can support practically unlimited dimensions.
Real-Time Drill-Down
Aleri's Live OLAP maintains transactional data longer than traditional OLAP technologies, along with the links to the cube cells. This enables user to drill down deep into the real-time data along dimensional hierarchies all the way to the transactional data which generated results.
Long-lived Results
Rapid, Flexible Modeling
The Aleri Live OLAP Studio provides a rapid, flexible environment to define and test multi-dimensional analytic models and all required characteristics. Through the intuitive graphical user interface, designers can rapidly define dimensions and dimension hierarchies contained within the data model, various calculations and other characteristics of the data model. It then produces the metadata used by the Live OLAP Server for rapid deployment and easy change.
Open Client Integration
Live OLAP supports many of the most popular desktop data analysis and reporting tools through support for the defacto industry standard MDX, and the popular ODBO interface. This includes Microsoft Excel®: 2007 and popular open source products like JPivot. Through an easy to use Java-based web application SDK, custom browser-based query screens can be rapidly developed into a web-based user access framework.
