The Skytide Analytical Platform™: Advanced Analytics |
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Overview |
Skytide is uniquely architected to deliver the advanced analytical demands today's business require. Analytics that are based on multiple sources of often high volumes of data. Skytide automates the process of building multi-dimensional models that pull together diverse data sources. Because it’s able to render data in a common XML structure, these models can also be easily modified, added to, or used for custom queries, often without the need for IT support.
Skytide was created to offer businesses a flexible, scalable and powerful analytical engine that drives meaningful and timely results.
The Analysis Layer
The Analysis Layer features four unique analytical engines that operate on the information gathered from data in the Modeling Layer to synthesize business insight:
- Correlation Engine — Detects relationships across multiple data sources and broad units of measure for different kinds of information. For example: consider contact center data about how often calls are resolved on the first try and information about agents returning late from breaks. Two different data sources and two very different units of measure, yet Skytide can identify any possible correlation between these seemingly unrelated pieces of information, providing contact center managers with a new opportunity to improve productivity.
- Hierarchy Management Engine — Identifies and aligns the common elements across multiple data hierarchies, connecting related data fields. For example: connecting financial records from two companies that have just merged, streamlining M&A operations. The Hierarchy Management Engine can also discover hierarchies or other complex data structures that are otherwise lost through data transformation and flattening, providing sharper insight into subtle relationships among data.
- Path Analysis Engine — Uncovers paths, patterns, and sequences over time that lead to a particular outcome or event, and correlates events across processes and time. For example: understanding the paths customers take through an e-commerce site can reveal very interesting customer behavior insights that would never be found by simply knowing what was ultimately purchased.
- Entity matching Engine — Finds matching entities (e.g. name, company, product), across multiple data sources, each with its own context and format. For example: discovering that two apparently different individuals are in reality the same person based on matches through chains of what appear to be unrelated entities or events, which is extremely helpful in situations involving fraud or to support intelligence gathering activities.
Skytide Pipeline
Extending Skytide's analytical modeling capabilities, the Skytide Pipeline automates a continuous flow of data through the Skytide analytical process, whereby data is aggregated and processed through the Skytide models, generating always-current and accurate results and reports. The Skytide Pipeline is possible only because of Skytide's unique architecture that eliminates the need for data to be put into a structured data warehouse before analysis can take place.
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Figure 1. The Skytide Pipeline automatically refreshes analytical models with new data on a regular basis, providing always current reports and results.
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Get the Skytide Advantage
Contact us today to schedule a customized Skytide in Action demo and see how we can help you gain valuable insights from all of your corporate data. Email us at: info@skytide.com or call 1.650.292.1998.