Remove Events Remove Prescriptive Analytics Remove Risk Remove Strategy
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Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

Rocket-Powered Data Science

Accompanying the massive growth in sensor data (from ubiquitous IoT devices, including location-based and time-based streaming data), there have emerged some special analytics products that are growing in significance, especially in the context of innovation and insights discovery from on-prem enterprise data sources.

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The Role Of Technology In A Changing Financial Services Sector Part II

Cloudera

Evaluating anomalies and unpredicted events like pandemics and ESG concerns. This is critically important for predicting risk exposures. However, another type of analytics, called “prescriptive analytics”, involves simulation tools that look towards the future with a view of many potential scenarios.

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Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

Remember when you began your career and the prospect of retirement was an event in the distant future? 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? Will this next trade return a profit?

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Delivering Low-latency Analytics Products for Business Success

Rocket-Powered Data Science

Along with the massive growth in sensor data (including location-based and time-based streaming data), there have emerged some special analytics categories that are growing in significance. These may not be high risk. They might actually be high-reward discoveries.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

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Four starting points to transform your organization into a data-driven enterprise

IBM Big Data Hub

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. You can select a hybrid integration strategy that aligns with your organization’s business strategy to meet the needs of your data consumers wanting to access and utilize the data. Start a trial.

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Three Types of Actionable Business Analytics Not Called Predictive or Prescriptive

Rocket-Powered Data Science

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. How do predictive and prescriptive analytics fit into this statistical framework?