Real-Time Business Intelligence Overview

real-time-business-intelligence-overviewAs company strategies are increasingly demand-driven, real-time data warehousing and downstream business intelligence are playing an ever more important role. In this rapidly changing marketplace, the most successful companies are those that can predict – and react faster to – market trends and opportunities.

Measurable business value is derived from centralizing, standardizing, and simplifying data. From a centralized data repository – an online Enterprise Data Warehouse (EDW), or perhaps an Operational Data Store (ODS) – data is readily available to decision-makers across the enterprise, providing an integrated, single view of the business for the real-time decision support. It allows for top-down and bottom-up navigation across all performance management applications that are built on a uniform data model.

Today’s enterprise business intelligence environments require real-time change data capture updates from legacy systems integrated with online data warehouse systems (an online data warehouse has updates streaming into it from the Shadowbase software to keep the warehouse’s data current). Shadowbase real-time integration software solutions can load your business intelligence environment without impacting the operational systems that provide the data.

The Shadowbase technology provides an infrastructure to consolidate key business information in real-time by supporting a wide range of data sources. We let you make operational and tactical decisions in real-time using the most cost effective reporting and analytic solutions.

Key Online Data Warehouse/Business Intelligence Characteristics of Shadowbase Data Replication Solutions Include:

  • Configurable for extremely low transactional replication latency (the ability to move source database changes to the target and apply them very quickly, in real-time change data capture).  This ability keeps the data warehouse information refreshed to the current business state.
  • Support for “batch” and snapshot, or “periodic refresh,” replication (e.g., the ability to batch changes and send periodically, perhaps when network traffic is low).
  • Scales with volume to meet fluctuating database loads.
  • Maximized flexibility for replication source and target feeds.
  • Automatic recovery in the event of system, network, and database faults.
  • Support for replication diversity, including built in functions for transformation, mapping, data cleansing, and data filtering.

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