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Automated Reporting
Whether you already create recurring reports that are rich in data or are curious about starting, automated reporting can make your life easier. With automated reporting, you can have on demand production of a preset report and the possibility for further unique data exploration. This means less time is wasted creating the report, and more time is available for interpreting and drawing strategic insight from your data.
The Perils and Payoffs of Forecasting at Increasing Granularity
Forecasting a future outcome, whether it is financial, event-based, units of demand, or some other informative piece of information, is a key part of decision making and strategy development. To speak broadly about forecasting, some projects are harder than others depending on if the object being forecasted is stable or volatile (for example Software ARR …
How Accurate is Your Accuracy?
A Framework to Think About Forecast Accuracy Since one of the main values of forecasting is to assist better planning and decision-making, that could understandably lead one to think “We want 100% accuracy, and if that’s impossible, then at least 99%!”. This “magical number” threshold, while a good thing to aspire too, can hold you …
How Much Data Is Needed To Start Forecasting?
As a rule of thumb, I personally like to have 3 times more historical data relative to my forecast horizon (the distance into the future I want to forecast). However, this amount of data is not necessarily a hard stop when you use simpler forecasting methods such as ARIMA and exponential smoothing. The reason I …
Predicting Properties of DNA using Bioinformatics and Interpretable Machine Learning
For those who want the quick version, the video explainer is at the bottom of this post. There are a multitude of things that are worth predicting about DNA and a multitude of ways to predict them. Starting with the ways of predicting properties of DNA, there are unsupervised methods like BLAST (sequence alignment) where …
Predicting Drug Toxicity With Chemi-Informatics and Machine Learning
For those who want the quick version, the video explainer is at the bottom of this post. The ability to predict a specific property or outcome of a chemical and/or its interaction with a system is nothing new to those familiar with quantitative structure-activity relationship (QSAR) modelin. I picked toxicity as the property to predict …