CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Smarten

JUNE 26, 2018

It is used to determine whether there is a statistically significant association between the two categorical variables. This technique is used to determine if the relationship exists between any two business parameters that are of categorical data type. How Can the Chi Square Test of Association Be Used for Business Analysis?

Testing 40

Testing Statistics IT Business Intelligence 40

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

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

He was saying this doesn’t belong just in statistics. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. You know, companies like telecom and insurance, they don’t really need machine learning.” Tukey did this paper.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Smarten

JULY 10, 2018

Paired Sample T Test: What is the Paired Sample T Test and How is it Beneficial to Business Analysis? Use Case(s): Manufacturing unit manager analyzes statistical significance of cycle time difference, pre and post process change, determine whether sales increased following a particular campaign and more.

Analytics 40

Analytics Forecasting Statistics Sales 40

Smarten

JUNE 21, 2018

Time series forecasting methods are used to extract and analyze data and statistics and characterize results to more accurately predict the future based on historical data. Business Benefit : Helps in planning for repeat telecast and for more advertisement (fund raising) if the projected count of viewers is high. About Smarten.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40