Remove Key Performance Indicator Remove Predictive Modeling Remove ROI
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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

Because things are changing and becoming more competitive in every sector of business, the benefits of business intelligence and proper use of data analytics are key to outperforming the competition. Business Intelligence And Analytics Lead To ROI. Such business intelligence ROI can come in many forms.

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LCNC in BI and Predictive Analytics

Smarten

Finding and choosing the right solution will drive willing user adoption, improved Return on Investment (ROI) and low Total Cost of Ownership (TCO). Predictive Modeling A wizard-based, guided user interface (UI) helps users to create predictive models with no need for IT intervention, and no programming or scripting experience.

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Citizen Data Scientists Can Partner With Data Scientists!

Smarten

So, if a power user or business users discovers a challenge or an opportunity and your management team wishes to further explore the issue to understand its strategic or operational value, a Data Scientist can take the predictive model or other analytical report produced by a Citizen Data Scientist and refine the results for executive review.

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Traditional & Modern BI and Analytics: A Perfect Combination Solutions!

Smarten

This type of solution includes key influencer analytics, anomaly detection, alerts, clickless analytics and other tools designed to support the transformation of business users to Citizen Data Scientists and to increase data literacy in the enterprise.

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What to Consider When Selecting a BI Tool

Smarten

Your business has high hopes for its business intelligence implementation and it anticipates many benefits, a good return on investment (ROI) and low total cost of ownership (TCO). For many business intelligence users, BI dashboard tools will be just as important as the more advanced analytical tools like assisted predictive modeling.

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How to Leverage Data Analytics in the Hospitality Industry

Alation

Data analytics techniques, such as machine learning (ML), artificial intelligence (AI), and predictive modeling, can help businesses extract valuable insights from this data to improve operations and customer experience. Meanwhile, predictive analytics enable them to analyze customer market trends.

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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

To fully understand how events are viewed by the players and to make decisions about future events requires information on how the latest event was actually performed. This means gathering a lot of data as the players play to build key performance indicators (KPIs) that measure the effectiveness and player satisfaction with each event.