Briefing Competitive Landscape Education Research 
ArchIntel
NOVEMBER 18, 2020
What they really need is a clear, detailed picture of the competitive landscape that is honest and transparent. It is a lot of pressure, but at the end of the day a strong Competitive Intelligence group is a balance of art and science, responsible for helping to inform the company’s strategy and drive decision making.”.
Elegant BI
OCTOBER 18, 2018
This article discusses the analytical technique known as Sampling and provides a brief explanation of two types of sampling analysis, and how each of these methods is applied. This method is used when the researcher wants to examine subgroups within a population. What is Sampling Analysis?
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Elegant BI
AUGUST 14, 2018
This article provides a brief definition of the multinomial-logistic regression classification algorithm and its uses and benefits. Business Problem: A research agency wants to predict the likelihood of each election candidate being voted on by each voter and in turn devise a strategy to take proactive steps.
Elegant BI
OCTOBER 16, 2018
This article presents a brief explanation of Outliers, and how this type of analysis is used. What is Outlier Analysis? An outlier is an element of a data set that distinctly stands out from the rest of the data. In other words, outliers are those data points that lie outside the overall pattern of distribution as shown in figure below.
Elegant 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.
Elegant 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.
Elegant BI
AUGUST 10, 2018
This article provides a brief explanation of the KMeans Clustering algorithm. What is the KMeans Clustering algorithm? The KMeans Clustering algorithm is a process by which objects are classified into number of groups so that they are as much dissimilar as possible from one group to another, and as much similar as possible within each group.
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