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Is Business Intelligence (BI) Market Finally Maturing? Forrester Three Big BI Market Predictions

Forrester IT

business intelligence. Forrester is making three predictions which should guide BI vendor and BI buyer strategies in the next three to five years. Read more Categories: Analytics. system of insights.

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Salesforce Gets Into Cloud Business Intelligence Market

Data Center Knowledge

Rolls out Wave, a business intelligence service designed for mere mortals Read More. Big Data Cloud Computing Featured Salesforce'

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Top 10 Business Intelligence Platforms in 2023

IT Toolbox

A business intelligence tool extracts data from sources via statistical models and presents it in charts, dashboards, or reports. The post Top 10 Business Intelligence Platforms in 2023 appeared first on Spiceworks.

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Now Is the Time to Enable Self-Service Business Intelligence and Analytics

IT Toolbox

Discover how self-service BI can drive operational efficiency and reduce OpEx spend for businesses. The post Now Is the Time to Enable Self-Service Business Intelligence and Analytics appeared first on Spiceworks.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations.

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Business Intelligence Skills

Forrester IT

So you have gone through the Discover and Plan of your Business Intelligence (BI) strategy and are ready to staff your BI support organization. business insights. business intelligence. What skills, experience, expertise and qualifications should you be looking for? Read more Categories: Analytics.

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Which Government, Non-Profit and NGO Have Big Data/CDH Lessons Learned To Share?

CTOvision

Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads.

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