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In property management, proactive lease renewal management is critical to maintaining occupancy and long-term profitability . Without timely insights, renewal opportunities can slip through the cracks—leading to avoidable tenant turnover and revenue loss. We worked with a property management firm to build a Lease Renewals Dashboard that provided real-time visibility into renewal activity. This solution enabled the firm to: Track renewal rates across properties Identify upcoming lease expirations early Support strategic lease planning for long-term tenant retention With these insights, the firm improved its ability to engage tenants on time, reduce vacancy risk, and create a more stable revenue stream. 📘 Explore the Full Case Study: Lease Renewals Dashboard Case Study 📥 Download the Executive Summary PDF: Download the Lease Renewals Dashboard PDF

The Best Algorithms are the Simplest The field of data science has progressed from simple linear regression models to complex ensembling techniques but the most preferred models are still the simplest and most interpretable. Among them are regression, logistic, trees and naive bayes techniques. Naive Bayes algorithm, in particular is a logic based technique which is simple yet so powerful that it is often known to outperform complex algorithms for very large datasets. Naive bayes is a common technique used in the field of medical science and is especially used for cancer detection. This article explains the underlying logic behind naive bayes algorithm and example implementation. How Probability defines Everything We calculate probability as the proportion of cases where an event happens and call it the probability of the event. Just as there is probability for a single event, we have probability of a group of events as the proportion of cases where the group of events occur together. ...

Introduction In a typical ‘from think to buy’ customer journey, a customer goes through multiple touch points before zeroing in on the final product to buy. This is even more prominent in the case of e-commerce sales. It is relatively easier to track which are the different touch points the customer has encountered before making the final purchase. As marketing moves more and more towards the consumer driven side of things, identifying the right channels to target customers has become critical for companies. This helps companies optimise their marketing spend and target the right customers in the right places. More often than not, companies usually invest in the last channel which customers encounter before making the final purchase. However, this may not always be the right approach. There are multiple channels preceding that channel which eventually drive the customer conversion. The underlying concept to study this behavior is known as ‘multi-channel attribution modeling.’ In th...

Implementing Principal Component Analysis (PCA) in R Give me six hours to chop down a tree and I will spend the first four sharpening the axe. —-  Abraham Lincoln The above Abraham Lincoln quote has a great influence in the machine learning too. When it comes to modeling different machine learning models most of the time need to spend on data  preprocessing  and  feature engineering  stages. The general idea of feature engineering is to identify the influence features over all the available features. So the identified features used to train the model. Identifying the influence features doesn’t mean picking the features in an analytical way.  Some times converting latent features into a meaningful feature. This is known as  dimensionality reduction . In this article, you will learn the basic concept to perform the dimensionality reduction with one famous approach know as  Principal component analysis.  In ...