ClearStory Data Introduces Automated Smart Data Discovery to Enable Organizations to Immediately Spot Intricate Patterns across Disparate Data for Faster Discovery of Business Insights - Seite 2

Furthering Automated Business Analytics
ClearStory's introduction of business-oriented Automated Smart Data Discovery, combined with the company's leadership in automated Data Prep and Data Inference, automated data blending via Intelligent Data Harmonization™ and Smart Storyboard Exploration, further extends its leadership in delivering scalable modern business-oriented analytics.
Highlights of ClearStory's Automated Smart Data Discovery capabilities include:

• Point-and-click, Fast Visual Exploration of disparate harmonized data that instantly reveals patterns, correlations and exceptions. The result is immediate identification of the most relevant data to answer key business questions.
  
  
• Patterns, Occurrences, and Outlier Detection across Non-numeric Categorical Data and Numeric Data to pinpoint key relationships and isolate down to the data of most relevance to speed analysis to reach business-critical insights.
  
  
• Fluid Contextual Discovery during Navigation that enables users to traverse dimensions in the data and immediately see which attributes are of statistical significance to answer key business questions. The result of this is the instant narrowing down of key data in-context to effectively answer business questions.
  
  
• Visual Options for Small Data, Large Data, and Highly Complex Data to accommodate the nuances, granular details and patterns that apply to exploring large data volumes or highly dimensional data sources. The visual options include interacting with data where there may be a high density of similar values, clusters, and many groupings that require more visual clarity and navigation options to find the most important data elements.
  
  

"We are excited about this breakthrough capability in smart data discovery as it's highly needed for the diversity of data that organizations are pulling in for insights," said Dr. Timothy Howes, Chief Technology Officer of ClearStory Data. "As organizations struggle with analyzing large data volumes, with more complexity and from a diversity of sources, it becomes exponentially harder to understand what's most relevant in the data to answer business questions. ClearStory's Automated Smart Data Discovery gives business users an easy, visual and contextual way to identify important relationships between data elements, spot trends, outliers, and correlations, and understand their data better across all data types and sources."