ElegantJ BI

AUGUST 17, 2018

As advanced analytics and self-serve, augmented analytical tools make their way into the average enterprise, the average organization struggles to quantify the effects and, moreover, to understand and leverage the changes within the business. Every company is different and the impact of these types of tools will be unique in some ways, but there are many ways in which the introduction of advanced analytics to business users will typically impact your business.

Vision 130

Vision Data Governance Government Data Analytics 130

Leading Agile

AUGUST 13, 2018

Technical teams who are building or supporting application software usually work from a prioritized list of improvements, new features, and ideas to try out. (Scrum calls the list the Product Backlog.) They have a plan for completing the items on the list. Except in cases when the totality of the work is completely understood in advance, contemporary practice involves rolling-wave planning or multi-horizon planning in some form, whereby teams pull a subset of items from the top of the list and w

Planning 98

Planning Agile 98

Roman Pichler

AUGUST 14, 2018

What Maturity Means. A product is mature if it has stopped growing: The benefits it creates no longer rise. Instead, they have started to stagnate. In terms of the product life cycle model, the product has left the growth stage and entered maturity, as the following picture shows. To find out if your product is mature, you should track its performance.

Vision 55

Vision Innovation Portfolio Management 55

The BA Doc

AUGUST 15, 2018

Becoming a Certified Business Analysis Professional (CBAP) has been one of the most rewarding and challenging endeavors for me as a business analyst. The purpose of this article is to help other business analysts pass th.

Business Analysis 52

Business Analysis Business Analysis 52

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Planning

ElegantJ BI

AUGUST 17, 2018

As advanced analytics and self-serve, augmented analytical tools make their way into the average enterprise, the average organization struggles to quantify the effects and, moreover, to understand and leverage the changes within the business. Every company is different and the impact of these types of tools will be unique in some ways, but there are many ways in which the introduction of advanced analytics to business users will typically impact your business.

Vision 130

Vision Data Governance Government Data Analytics 130

ElegantJ BI

AUGUST 17, 2018

As advanced analytics and self-serve, augmented analytical tools make their way into the average enterprise, the average organization struggles to quantify the effects and, moreover, to understand and leverage the changes within the business. Every company is different and the impact of these types of tools will be unique in some ways, but there are many ways in which the introduction of advanced analytics to business users will typically impact your business.

Vision 130

Vision Data Governance Government Data Analytics 130

ElegantJ BI

AUGUST 14, 2018

This article provides a brief definition of the multinomial-logistic regression classification algorithm and its uses and benefits. What is the Multinomial-Logistic Regression Classification Algorithm? Logistic regression measures the relationship between the categorical target variable and one or more independent variables It deals with situations in which the outcome for a target variable can have two or more possible types.

Logistics 130

Logistics Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

AUGUST 14, 2018

This article provides a brief explanation of the ARIMA method of analytical forecasting. What is ARIMA Forecasting? Autoregressive Integrated Moving Average (ARIMA) predicts future values of a time series using a linear combination of its past values and a series of errors. This analytical forecasting method is suitable for instances when data is stationary/non stationary and is univariate, with any type of data pattern, i.e., level/trend/seasonality/cyclicity.

Pharmaceutical 130

Pharmaceutical Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

AUGUST 14, 2018

This article provides a brief definition of the multinomial-logistic regression classification algorithm and its uses and benefits. What is the Multinomial-Logistic Regression Classification Algorithm? Logistic regression measures the relationship between the categorical target variable and one or more independent variables It deals with situations in which the outcome for a target variable can have two or more possible types.

Logistics 130

Logistics Data Discovery Business Intelligence Business Intelligence 130

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ElegantJ BI

AUGUST 14, 2018

This article provides a brief explanation of the ARIMA method of analytical forecasting. What is ARIMA Forecasting? Autoregressive Integrated Moving Average (ARIMA) predicts future values of a time series using a linear combination of its past values and a series of errors. This analytical forecasting method is suitable for instances when data is stationary/non stationary and is univariate, with any type of data pattern, i.e., level/trend/seasonality/cyclicity.

Pharmaceutical 130

Pharmaceutical Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

AUGUST 14, 2018

This article provides a brief definition of the multinomial-logistic regression classification algorithm and its uses and benefits. What is the Multinomial-Logistic Regression Classification Algorithm? Logistic regression measures the relationship between the categorical target variable and one or more independent variables It deals with situations in which the outcome for a target variable can have two or more possible types.

Logistics 130

Logistics Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

AUGUST 14, 2018

This article provides a brief explanation of the ARIMA method of analytical forecasting. What is ARIMA Forecasting? Autoregressive Integrated Moving Average (ARIMA) predicts future values of a time series using a linear combination of its past values and a series of errors. This analytical forecasting method is suitable for instances when data is stationary/non stationary and is univariate, with any type of data pattern, i.e., level/trend/seasonality/cyclicity.

Pharmaceutical 130

Pharmaceutical Data Discovery Business Intelligence Business Intelligence 130

The BA Doc

AUGUST 15, 2018

Becoming a Certified Business Analysis Professional (CBAP) has been one of the most rewarding and challenging endeavors for me as a business analyst. The purpose of this article is to help other business analysts pass th.

Business Analysis 40

Business Analysis Business Analysis 40

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Innovation

ElegantJ BI

AUGUST 14, 2018

This article provides a brief explanation of the FP Growth technique of Frequent Pattern Mining. What is the FP Growth Algorithm? Frequent pattern mining (previously known as Association) is an analytical algorithm that is used by businesses and, is accessible in some self-serve business intelligence solutions. The FP Growth analytical technique finds frequent patterns, associations, or causal structures from data sets in various kinds of databases such as relational databases, transactional dat

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

AUGUST 14, 2018

This article provides a brief explanation of the FP Growth technique of Frequent Pattern Mining. What is the FP Growth Algorithm? Frequent pattern mining (previously known as Association) is an analytical algorithm that is used by businesses and, is accessible in some self-serve business intelligence solutions. The FP Growth analytical technique finds frequent patterns, associations, or causal structures from data sets in various kinds of databases such as relational databases, transactional dat

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

AUGUST 14, 2018

This article provides a brief explanation of the FP Growth technique of Frequent Pattern Mining. What is the FP Growth Algorithm? Frequent pattern mining (previously known as Association) is an analytical algorithm that is used by businesses and, is accessible in some self-serve business intelligence solutions. The FP Growth analytical technique finds frequent patterns, associations, or causal structures from data sets in various kinds of databases such as relational databases, transactional dat

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130