article thumbnail

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.

article thumbnail

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

Cloudera

However, another type of analytics, called “prescriptive analytics”, involves simulation tools that look towards the future with a view of many potential scenarios. Prescriptive analytics provides decision-makers with thousands of potential future scenarios. To capture the importance of sequencing of events. .

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

Descriptive analytics are useful because this method of analysis enables financial services companies to learn from past behaviors. Descriptive analytics techniques are often used to summarize important business metrics such as account balance growth, average claim amount and year-over-year trade volumes.

article thumbnail

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

AWS Big Data

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. The following figure shows some of the metrics derived from the study. Plan on how you can enable your teams to use ML to move from descriptive to prescriptive analytics.

article thumbnail

Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. 4) Predictive And Prescriptive Analytics Tools.

article thumbnail

Top 10 Analytics And Business Intelligence Buzzwords For 2020

datapine

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Prescriptive Analytics: What should we do? Cognitive Computing.

article thumbnail

Analytics Translator? Citizen Data Scientist? What is the Difference?

Smarten

Gartner defines a Citizen Data Scientist as ‘a person who creates or generates models that leverage predictive or prescriptive analytics but whose primary job function is outside of the field of statistics and analytics.’ Comfortable with metrics, measurements and prioritization.