ElegantJ BI
OCTOBER 16, 2018
In this article, we will discuss the Decision Tree analysis method. What is Decision Tree Analysis? There are two basic types of decision tree analysis: Classification and Regression. 1) Classification Trees are used when the target variable is categorical and, as the name implies, are used to classify/divide the data into these predefined categories of a target variable.
Leading Agile
OCTOBER 17, 2018
Warning: This may be a little bit preachy. If so, it’s only because I’m a little bit frustrated by it. Tying Up Loose Ends at Home. We’ve had a bad habit at our house over the years. When we used a tool, we’d neglect to put it back in its proper place. The next time someone needed the tool, we’d spend more time looking for it than it took to use it for the task at hand.
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Domo
OCTOBER 17, 2018
Throughout my career, I’ve been lucky to be surrounded by experienced leaders, both inside and outside the company walls. I’ve always found the biggest successes come when you bring a brilliant group of people together focused on a common goal. For that reason, I’m excited to announce the formation of Domo’s Enterprise Advisory Board, a new group of veteran global CIOs from some of the world’s largest brands.
Business Analysis Hub
OCTOBER 16, 2018
Business analysts are meant to be good at facilitating, it’s meant to be one of our key skills. However, speaking to many of the BAs in my network, facilitation is the one area that they feel that they can do more. I guess, one of the difficulties with facilitation is that you don’t always end up with a tangible outcome. This then makes it harder to determine the value in what you have achieved.
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ElegantJ BI
OCTOBER 18, 2018
This article focuses on the Independent Samples T Test technique of Hypothesis testing. What is the Independent Samples T Test Method of Hypothesis Testing? The independent sample t-test is a statistical method of hypothesis testing that determines whether there is a statistically significant difference between the means of two independent samples. For example, one might use this method of analysis to determine whether the average value of a sedan type of car is significantly different from an S
Business Analysis Digest brings together the best content for BA professionals from the widest variety of industry thought leaders.
Domo
OCTOBER 15, 2018
Let’s face it. It’s hard to discern which data tools are the best for the health of your business, and the speed at which they need to be chosen and implemented is almost instantaneous. Yet so many businesses still rely on outdated tools to make critical business decisions. Where’s the disconnect? According to the EAC Focus Report: Domo, Productivity, and Digital Transformation, companies feel crippled by a need for: Quality, not just quantity, of data.
The BA Doc
OCTOBER 15, 2018
Are you looking for a simple way to communicate data-oriented information to both business stakeholders and the technical team? If so, you will want to know more about the Entity-Relationship Diagram (ERD). An ERD is a d.
ElegantJ BI
OCTOBER 18, 2018
This article describes the analytical technique of multiple linear regression. What is Multiple Linear Regression Analysis? Multiple Linear Regression is a statistical technique that is designed to explore the relationship between two or more variables (X, and Y). It is useful in identifying important factors (X,) that will impact a dependent variable (Y), and the nature of the relationship between each of the factors and the dependent variable.
Leading Agile
OCTOBER 18, 2018
?. Once again, Mike Cottmeyer and Dave Prior sat down to discuss some of Mike’s latest thoughts on Agile Transformation and answer questions that we received from the audience. Some of the topics discussed were: Agile PMO, velocity, and governance just to name a few. These live Q&A sessions will be recurring, so make sure you’re on the lookout for the next installment.
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Actian
OCTOBER 19, 2018
This week Lifeboat announced their new contract to distribute our Actian product lines through their vast reseller channels as well as direct to their customers (you can find details here ). Speaking as the Actian Product Management and Marketing lead for one of those product lines, the Actian Zen Edge database family, this is a major step forward for us.
The BA Doc
OCTOBER 15, 2018
An Entity Relationship Diagram (ERD) is a data modeling technique that illustrates the relationships between different elements within a system. ERDs are generally used to design relational databases in technical areas.
ElegantJ BI
OCTOBER 18, 2018
In this article, we will discuss the KNN Classification method of analysis. What is the KNN Classification Algorithm? The KNN (K Nearest Neighbors) algorithm analyzes all available data points and classifies this data, then classifies new cases based on these established categories. It is useful for recognizing patterns and for estimating. Let’s say we want to determine the likelihood of loan default based on two predictors (age and loan type), with ‘default’ being the target.
ElegantJ BI
OCTOBER 18, 2018
In this article, we discuss the analytical method known as frequent pattern mining, previously known as ‘association’ What is Frequent Pattern Mining? Frequent Pattern Mining (AKA Association Rule Mining) is an analytical process that finds frequent patterns, associations, or causal structures from data sets found in various kinds of databases such as relational databases, transactional databases, and other data repositories.
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ElegantJ BI
OCTOBER 18, 2018
This article focuses on the Independent Samples T Test technique of Hypothesis testing. What is the Independent Samples T Test Method of Hypothesis Testing? The independent sample t-test is a statistical method of hypothesis testing that determines whether there is a statistically significant difference between the means of two independent samples. For example, one might use this method of analysis to determine whether the average value of a sedan type of car is significantly different from an S
ElegantJ BI
OCTOBER 18, 2018
This article describes the analytical technique of multiple linear regression. What is Multiple Linear Regression Analysis? Multiple Linear Regression is a statistical technique that is designed to explore the relationship between two or more variables (X, and Y). It is useful in identifying important factors (X,) that will impact a dependent variable (Y), and the nature of the relationship between each of the factors and the dependent variable.
ElegantJ BI
OCTOBER 18, 2018
In this article, we will discuss the KNN Classification method of analysis. What is the KNN Classification Algorithm? The KNN (K Nearest Neighbors) algorithm analyzes all available data points and classifies this data, then classifies new cases based on these established categories. It is useful for recognizing patterns and for estimating. Let’s say we want to determine the likelihood of loan default based on two predictors (age and loan type), with ‘default’ being the target.
ElegantJ BI
OCTOBER 18, 2018
In this article, we discuss the analytical method known as frequent pattern mining, previously known as ‘association’ What is Frequent Pattern Mining? Frequent Pattern Mining (AKA Association Rule Mining) is an analytical process that finds frequent patterns, associations, or causal structures from data sets found in various kinds of databases such as relational databases, transactional databases, and other data repositories.
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ElegantJ BI
OCTOBER 18, 2018
This article focuses on the Independent Samples T Test technique of Hypothesis testing. What is the Independent Samples T Test Method of Hypothesis Testing? The independent sample t-test is a statistical method of hypothesis testing that determines whether there is a statistically significant difference between the means of two independent samples. For example, one might use this method of analysis to determine whether the average value of a sedan type of car is significantly different from an S
ElegantJ BI
OCTOBER 18, 2018
This article describes the analytical technique of multiple linear regression. What is Multiple Linear Regression Analysis? Multiple Linear Regression is a statistical technique that is designed to explore the relationship between two or more variables (X, and Y). It is useful in identifying important factors (X,) that will impact a dependent variable (Y), and the nature of the relationship between each of the factors and the dependent variable.
ElegantJ BI
OCTOBER 18, 2018
In this article, we will discuss the KNN Classification method of analysis. What is the KNN Classification Algorithm? The KNN (K Nearest Neighbors) algorithm analyzes all available data points and classifies this data, then classifies new cases based on these established categories. It is useful for recognizing patterns and for estimating. Let’s say we want to determine the likelihood of loan default based on two predictors (age and loan type), with ‘default’ being the target.
ElegantJ BI
OCTOBER 18, 2018
In this article, we discuss the analytical method known as frequent pattern mining, previously known as ‘association’ What is Frequent Pattern Mining? Frequent Pattern Mining (AKA Association Rule Mining) is an analytical process that finds frequent patterns, associations, or causal structures from data sets found in various kinds of databases such as relational databases, transactional databases, and other data repositories.
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ElegantJ BI
OCTOBER 17, 2018
This article explains the Karl Pearson Correlation method of analysis, and how it can be applied in business. What is the Karl Pearson Correlation Analytical Technique? Correlation is a statistical measure that indicates the extent to which two variables fluctuate together. A positive correlation indicates the extent to which those variables increase or decrease in parallel.
ElegantJ BI
OCTOBER 17, 2018
This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. What is ARIMAX Forecasting? An Autoregressive Integrated Moving Average with Explanatory Variable (ARIMAX) model can be viewed as a multiple regression model with one or more autoregressive (AR) terms and/or one or more moving average (MA) terms.
ElegantJ BI
OCTOBER 17, 2018
This article describes the Simple Linear Regression method of analysis. What is Simple Linear Regression? Simple Linear Regression is a statistical technique that attempts to explore the relationship between one independent variable (X) and one dependent variable (Y). This method helps a business to identify the relationship between X and Y and the nature and direction of that relationship.
ElegantJ BI
OCTOBER 17, 2018
This article discusses the Paired Sample T Test method of hypothesis testing and analysis. What is the Paired Sample T Test? The Paired Sample T Test is used to determine whether the mean of a dependent variable e.g., weight, anxiety level, salary, reaction time, etc., is the same in two related groups. For example, one might consider two groups of participants that are measured at two different “time points” or two groups that are subjected to two different “conditions”
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