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” based on the available data. ” BusinessIntelligence (BI) was the earlier avatar of business analytics (data science) with limited capabilities to predict and to learn (machine learning). Making sense of the data in its raw format will be extremely difficult.
Whether the solution was user-friendly or supportive of an end-user’s role, the employee had no say in adopting and embracing the software and using it for everyday businessanalysis. When it comes to BusinessIntelligence Reporting , the scenario is the same.
Whether the solution was user-friendly or supportive of an end-user’s role, the employee had no say in adopting and embracing the software and using it for everyday businessanalysis. When it comes to BusinessIntelligence Reporting , the scenario is the same.
Whether the solution was user-friendly or supportive of an end-user’s role, the employee had no say in adopting and embracing the software and using it for everyday businessanalysis. When it comes to BusinessIntelligence Reporting , the scenario is the same.
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Many businesses are just discovering the benefits of self-serve businessintelligence and establishing data democratization initiatives but, as every business manager and team member knows, business markets and competition move rapidly and yesterday’s businessintelligence initiatives are morphing into advanced analytics efforts.
Many businesses are just discovering the benefits of self-serve businessintelligence and establishing data democratization initiatives but, as every business manager and team member knows, business markets and competition move rapidly and yesterday’s businessintelligence initiatives are morphing into advanced analytics efforts.
Many businesses are just discovering the benefits of self-serve businessintelligence and establishing data democratization initiatives but, as every business manager and team member knows, business markets and competition move rapidly and yesterday’s businessintelligence initiatives are morphing into advanced analytics efforts.
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