As an organization implements data-driven decision-making, it becomes exceedingly important that data teams understand the business context of the data collected, analyzed, and presented. The data team must understand how […]
This post is a very brief read on the concepts of Data Quality, a cornerstone of of Data Governance, and an important component of Data Strategy. Here are those concepts:
In this post we explain our view on Data Strategy purpose and implementation. As the topic is quite broad, we break the narrative down to multiple sub-posts. Proponents of Artificial
In this write-up we’ll describe our proprietary Python Dynamic Query Builder (PDQB), and provide a use-case example as well. First let’s define what is meant by “Dynamic Query Builder”. Imagine
Traditional merger / acquisition valuation has an established solid methodology over time. The process of due diligence, legal reviews, accurate pricing of liabilities vs assets, and post merger growth projections
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