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This data retrieval and summarization capability gave rise to what we now know as the businessintelligence industry. Today, the most common usage of businessintelligence is for the production of descriptive analytics. . Descriptive Analytics: Valuable but limited insights into historical behavior.
Leverage Enterprise Investments for Predictive Analytics and Gain Numerous Advantages! Gartner has predicted that, ‘predictive and prescriptiveanalytics will attract 40% of net new enterprise investment in the overall businessintelligence and analytics market.’ Why the focus on predictive analytics?
Predictive Analytics assesses the probability of a specific occurrence in the future, such as early warning systems, fraud detection, preventative maintenance applications, and forecasting. PrescriptiveAnalytics provides precise recommendations to respond to the query, “What should I do if ‘x’ occurs?”
For this reason, data intelligence software has increasingly leveraged artificial intelligence and machine learning (AI and ML) to automate curation activities, which deliver trustworthy data to those who need it. How Do Data Intelligence Tools Support Data Culture? BI and AI for Data Intelligence. Augmented Analytics.
Since it is the prerogative of a consultant to question and modify predominant jargon, I am hatting (yes, this too is an English word) …I am hatting myself in the hat of a consultant this morning, and I am questioning the application of the term “ BusinessIntelligence.” Is this BusinessIntelligence?
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