Smart Data Collective

FEBRUARY 2, 2021

In the past, financial services such as insurance and banking were built on an inflexible, one-size-fits-all model, which meant not only that clients couldn’t get the services they needed, but also that people with low credit scores were rejected these services.

Big Data 106

Big Data Recreation/Entertainment Cost-Benefit Finance 106

Smarten

JUNE 26, 2018

Finance – An organization might use this technique to Identify if demographic factors influence banking channel/product/service preference or selection of a type of term plan of an insurance etc. How Can the Chi Square Test of Association Be Used for Business Analysis? About Smarten.

Testing 40

Testing Statistics IT Business Intelligence 40

Smarten

JUNE 21, 2018

Business Benefit : Helps in planning for repeat telecast and for more advertisement (fund raising) if the projected count of viewers is high. Business Problem : Insurance claim manager wants to forecast policy sales for next month based on past 12 months data. 2) Double Exponential Smoothing Use Case. About Smarten.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

Smarten

JULY 10, 2018

SVM Classification Analysis: What is SVM Classification Analysis and How Can It Benefit Business Analytics? FP Growth Analysis: What is FP Growth Analysis and How Can a Business Use Frequent Pattern Mining to Analyze Data? Trends and Patterns: What Are Data Trends and Patterns, and How Do They Impact Business Decisions?

Analytics 40

Analytics Forecasting Statistics Sales 40

Peter James Thomas

AUGUST 12, 2018

Is New Business Growth something that is even worth tracking; what will we do as a result of understanding this? The above is a somewhat simple metric, in a section of Using historical data to justify BI investments – Part I , I cover some actual Insurance industry metrics that build on each other and are a little more convoluted.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Domino Data Lab

JULY 22, 2019

You know, companies like telecom and insurance, they don’t really need machine learning.” If you were out five years ago talking in industry about the importance of graphs and graph algorithms and representation of graph data, because most business data ultimately is some form of graph. It’s not going to happen.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Peter James Thomas

AUGUST 18, 2018

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Jet Global

DECEMBER 7, 2021

As business analytics tools become more powerful and affordable than ever before, more and more business leaders are building upon their existing technology toolsets to add true business intelligence (BI) to their organization’s capabilities. These four stages are the “business intelligence cycle.”

Business Intelligence 52

Business Intelligence Slice and Dice Recreation/Entertainment Reporting 52