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While BI tells you what has happened in the past and what is happening now (descriptiveanalytics), BA tells you what will happen in the future (predictive analytics). Descriptiveanalytics : As its name suggests, this analysis method is used to describe and summarize the main characteristics found on a dataset.
Cognitive Analytics – this analytics mindset approach focuses on “surprise” discovery in data, using machine learning and AI to emulate and automate the cognitive abilities of humans. These may not be high-risk discoveries, but they could be high-reward discoveries. How does that resemble human cognitive abilities?
In this post, I’ll explore opportunities to enhance risk assessment and underwriting, especially in personal lines and small and medium-sized enterprises. Utilizing a variety of data sources creates a more accurate picture of risks. Insurance carriers are always looking to improve operational efficiency. Step one: gather the data.
Every day, these companies pose questions such as: Will this new client provide a good return on investment, relative to the potential risk? Is this existing client a termination risk? Today, the most common usage of business intelligence is for the production of descriptiveanalytics. .
The role of visualizations in analytics. Data visualization can either be static or interactive. Interactive visualizations enable users to drill down into data and extract and examine various views of the same dataset, selecting specific data points that they want to see in a visualized format.
The need for prescriptive analytics. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation. Benefits of prescriptive analytics. Thus arrives the need for casinos to adopt such new strategies and approaches towards business to stay ahead.
Computing interactions of all features on a pairwise basis can be useful for selecting, or de-selecting, for further research. There is a risk of injecting bias. It’s worth noting that there is a landscape of proprietary tools dedicated to producing descriptiveanalytics in the name of business intelligence. ref: [link].
The need for prescriptive analytics. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation. Benefits of prescriptive analytics. Thus arrives the need for casinos to adopt such new strategies and approaches towards business to stay ahead.
The Big Data ecosystem is rapidly evolving, offering various analytical approaches to support different functions within a business. DescriptiveAnalytics is used to determine “what happened and why.” ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards.
The foundational tenet remains the same: Untrusted data is unusable data and the risks associated with making business-critical decisions are profound whether your organization plans to make them with AI or enterprise analytics. Like most, your enterprise business decision-makers very likely make decisions informed by analytics.
As rich, data-driven user experiences are increasingly intertwined with our daily lives, end users are demanding new standards for how they interact with their business data. When visualizations alone aren’t enough to set an application apart, is there still a way for product teams to monetize embedded analytics?
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