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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

Descriptive analytics uses historical and current data to describe the organization’s present state by identifying trends and patterns. Predictive analytics: What is likely to happen in the future? Prescriptive analytics: What do we need to do? Examples of business analytics. This is the purview of BI.

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BRIDGEi2i Named as A Cool Vendor by Gartner In CRM Sales Technologies

bridgei2i

BRIDGEi2i is recognized as cool for its advanced analytics solution, BRIDGEfunnel, an AI-based diagnostic analytics tool, supported by predictive analytics functions, that can be used in lieu of enterprise-grade advanced analytics platforms. Email: venkat.subramanian@bridgei2i.com.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its data analytics. The types of data analytics Predictive analytics: Predictive analytics helps to identify trends, correlations and causation within one or more datasets.

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Birst Named to Constellation ShortList™ for Cloud-Based Business Intelligence and Analytics Platforms for 4th Straight Time

Birst BI

Constellation Research predicts that by 2020, 60 percent of mission-critical data will be accessed, rather than owned by enterprises – with external sources including SaaS, social networks, third-party enrichment data and partner information. Data-management capabilities, including data integration and self-service data preparation.

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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

Enterprise Artificial Intelligence. Enterprise Artificial intelligence (AI) is a common jargon used to refer to how an organization integrates artificial intelligence (AI) into its infrastructure to drive digital transformation. The aim of predictive analytics is, as the name suggests, to predict and forecast outcomes.

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Five Steps for Building a Successful BI Strategy

Sisense

Originating with Gartner, this chart includes the analytic features needed for a full analytics strategy, and what our AI team believe to be the absolute future of analytics – Cognitive Analytics. . In order to know where to go, you must first find yourself on this chart. A Centralized Approach.