ClearStory Data Advances Automated Business Discovery of Insights Across More Data Sources With New Smart, Data-Intelligent, Contextual StoryBoards - Seite 2

According to Gartner, the BI and analytics market is in the final stages of a multiyear shift from IT-led, system-of-record reporting to business-led, self-service analytics. As a result, the modern business intelligence and analytics (BI&A) platform has emerged to meet new organizational requirements for accessibility, business agility and deeper analytical insight.

Highlights of ClearStory's new advances include:

• Machine-driven, Data-Intelligent, Granular Discovery of Answers that Leverage All Related Insights and All Relevant Data
  Rather than manual, predetermined exploration paths within a limited and rigid dashboard view, ClearStory automatically discovers and recommends connected information and insights for the question being explored by a business user. This new capability is made possible by ClearStory's machine-driven, data-intelligent understanding of data in every source used in an insight or storyline. As connected information and related insights are presented to users, both context and interactivity are maintained. This lets users easily associate new insights in context to the entire storyline.
  
  
• Continuous Cycle of Insights from New Questions to Delivery of Answers
  The immediate coupling of newly discovered, correlated data and visualizations with existing StoryBoard insights reveals new and "what's interesting" storylines from a dynamically-generated model and inferred data semantics. Users can spend more time asking more questions and uncovering deeper insights about the business on-the-fly as they see new and connected views, instead of requiring human intervention or more data-modeling cycles to create custom drill paths for each dashboard.
  
  
• Omni-directional Navigation, Cross-view Brushing and Context-based Linking
  Users can easily navigate between discovered and recommended views that are related within a StoryBoard, or a business-explored hierarchy, to uncover more granular details of the data. As users navigate between views, ClearStory automatically performs cross-view, context-based linking to ensure accurate data visibility across visualizations, even if they were sourced from different data sources or in decoupled Data Stories.

"Business users don't necessarily know what questions to ask until they see an intriguing insight," says Ali Tore, Chief Product Officer at ClearStory Data. "ClearStory's new advancements in smart, data-intelligent business discovery, supports business users' natural problem-solving intuition by automatically discovering related data and insights on StoryBoards in context, so they can ask new questions and uncover deeper insights on the fly as they navigate through dynamically associated StoryBoard views."