#Allegory Actionable Analytics
Big data analytics is the cornerstone to being able to describe, predict, and prescribe strategic outcomes. Organizations are faced with the challenge of mass collection and intelligent use of data. There are are an ever-growing supply of data sources such as satellite imagery, public records, industry standard watch lists, social media feeds, communications logs, and financial transactions.
Today's big data products are focused on these individual areas, providing insightful dashboard views and other helpful visualizations in their area of focus. But most have one thing in common; they focus one specific type of input and provide analytics and dashboard visualizations for just that one source of data. A big problem remains unsolved: to provide timely and actionable intelligence, it is still necessary to correlate events and data across multiple sources.
To date, organizations have relied on human activity to correlate several data points into actionable intelligence. With this comes significant risk of acquiring that intelligence too late to take meaningful action. To address this problem, an integrated multi-source big data solution is essential.
An effective big data solution should integrate a myriad of data points from multiple sources into more effective intelligence, correlating events with specialized, pluggable algorithms to achieve actionable results unattainable by human activity alone. Dante's Big Data Analytics service offering addresses these challenges:
- Correlation of data and events from multiple sources and streams
- Archival of data in its original format for future use
- Pluggable algorithms which continually perform analysis to gain new insights and intelligence
- At-a-glance dashboards which present intelligence in the most relevant visual formats
- Rich workflow capabilities to respond to up-to-the-minute intelligence by triggering human activities as well as integrating with external systems
- Low financial risk
Dante provides the platform and the expertise to evolve your big data stream from an historical visualization to actionable intelligence.