ActivePivot is a real-time, in-memory analytics platform, which provides instant insight into complex and dynamic data for timely business decisions. Going beyond traditional BI or OLAP solutions, which are bound by latency, ActivePivot fits in operational systems and provides real-time business intelligence for immediate decision making, when and where it is needed.
Based on a component architecture, ActivePivot is deployed at much lower Total Cost of Ownership compared to other dedicated software solutions. It requires limited upfront deployment investment and can be reused for a vast variety of business areas across many departments, further increasing your ROI.
ActivePivot's in-memory analytics platform fuses several key capabilities:
In-memory computing. ActivePivot is an in-memory object-orientated OLAP engine, and can aggregate and perform in-memory analytics on massive flows of data.
Continuous Event Processing. The ActivePivot data cube is automatically updated whenever data is added or modified in the back-end. Data is pushed to the front-end client to ensure real-time analysis of the most up-to-date data.
Tailored business logic. ActivePivot applies any required business rules and calculations on aggregated data. It can create new dimensions, apply non-linear calculations and perform complex statistical time-series calculations like Value at Risk (VaR).
What-if scenarios. ActivePivot lets you manipulate data and perform instant 'What If' analysis on large data volumes to evaluate alternative scenarios and reach informed business decisions.
Open components. ActivePivot easily fits into your existing architecture. It can be fed directly through source systems, distributed caches, messaging queues, various file types, or relational databases. Users can connect to ActivePivot through standards (MDX, XMLA, web services), for example a Microsoft® Excel Pivot Table.