Clustering in Power BI using R
Here, I’ve used the famous Iris Flower dataset to show the clustering in Power BI using R. I’ve used the K-means clustering method to show the… Read More »Clustering in Power BI using R
Here, I’ve used the famous Iris Flower dataset to show the clustering in Power BI using R. I’ve used the K-means clustering method to show the… Read More »Clustering in Power BI using R
Background: Business intelligence software casts a wide net. Software for site selection, customer segmentation, marketing tests, employee productivity, operational metrics, sentiment analysis, profitability sectors and mapping… Read More »10 things to consider when purchasing business intelligence software
Here is a guest blog from MIT SMR by Sam Ransbotham. Organizations that turn data into insights are gaining competitive advantage through improved connections with consumers.… Read More »Using Analytics to Improve Customer Engagement
From advertising and promotion to selling and feedback, marketing chatbots are reducing the cost for companies, saving time, increasing efficiency and creating larger awareness for… Read More »Five Ways to Unleash the Power of a Marketing Bot
Premise: How will the traditional car industry create and extract customer value in the future when the source of that value is no longer the… Read More »Economics, Monetization and the “New Order” Automobile Industry
In my previous article, I wrote about the impact of Robotic Process Automation which drives Enterprise AI. In that article, I said: The first group… Read More »In 2018 – AI will start to bring jobs back from offshore destinations to the West
Hello All, Gives me immense pleasure to announce the release of our book “Practical Enterprise Data Lake Insights” with Apress. The book takes an end-to-end solution… Read More »#Apress “Practical Enterprise Data Lake Insights” – Published!
To be actionable, Big Data and Data Science must get down to the level of the individual – whether the individual is a customer, physician,… Read More »Cohort Analysis in the Age of Digital Twins
In an attempt to put the patient first in healthcare, Congress and President Obama in 2015 approved a bipartisan bill for United States healthcare reform. The… Read More »Unintended Consequences of the Wrong Measures
The purpose of a variance-covariance matrix is to illustrate the variance of a particular variable (diagonals) while covariance illustrates the covariances between the exhaustive combinations… Read More »Variance-Covariance Matrix: Stock Price Analysis in R