The 3 Pillars of a Modern Data Strategy
Introduction
The age of Big Data is upon us. From smartphones to sensors, the volume of data generated daily is staggering and presents challenges and opportunities for businesses...
The Ultimate Guide: How to Prepare for AI in Your Business
Introduction
The advent of artificial intelligence (AI) in the business world is not just a fleeting trend; it's a transformative force reshaping how companies operate and...
Business Intelligence Across a Private Equity Portfolio
Background
Recognizing an opportunity to expand their customer base, Red Oak Strategic’s client, a global CPG manufacturer, formed a private equity arm to help develop FinTech...
Data Visualization: Empowering Decision Makers
Time and again, across Red Oak Strategic’s corporate engagements and particularly in the Financial Services industry, our team has found that key stakeholders often lack insight...
Customizing Click Events: How to Capture and Store Data from JavaScript Objects in R Variables
Visualizations capable of launching detail views can add value to a data analyst’s user experience. Programming in this kind of...
Analytics at Scale: h2o, Apache Spark and R on AWS EMR
At Red Oak Strategic, we utilize a number of machine learning, AI and predictive analytics libraries, but one of our favorites is h2o. Not only is it open-source, powerful and...
Red Oak Strategic - Time Series Forecasting with Machine Learning
Introduction
This post will demonstrate how to use machine learning to forecast time series data. The data set is from a recent Kaggle competition to predict retail sales.
Blockchain from a Data Science Perspective
Imagine someone were to mint a new coin and give it to you. You then buy something and give it to someone else, and so on. Every time this coin changes hands, a record of the...
Red Oak Strategic - Exploratory Data Analysis: CDC's 500 Cities Project
Introduction
In Part 1, we built an application to geographically explore the 500 Cities Project dataset from the CDC. In this post, we will demonstrate other exploratory data...
Red Oak Strategic - Data Processing with Regular Expressions in Python 3
Applying Regular Expressions
This is a tutorial on processing data with regular expressions using Python. It is also a reflection on the advantages and trade-offs that come...