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Business Intelligence Across a Private Equity Portfolio

Patrick Stewart
Thursday, 19 August 2021 / Published in Data, Analytics, Data Science, Data Visualization, Case Studies, Private Equity
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 platforms in developing economies. This involved buying or building various applications to serve specific needs for distribution partners across several markets. The...
Data Analytics Data Science Data Visualization Case Studies Private Equity

Data Visualization: Empowering Decision Makers

Tyler Sanders
Thursday, 19 August 2021 / Published in Data, Analytics, Data Science, Data Visualization, Business Intelligence, Case Studies
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 and analysis into the data behind their operations. Be it client holdings, portfolio company performance or even their own deal pipelines, there is often a massive blind...
Data Analytics Data Science Data Visualization Business Intelligence Case Studies

Customizing Click Events: How to Capture and Store Data from JavaScript Objects in R Variables

Daina Andries
Wednesday, 17 October 2018 / Published in Data, R, Code, Analytics, Data Science, Data Visualization, Tutorials, R Shiny, JavaScript, Machine Learning
Interaction Design for Data Exploration Visualizations capable of launching detail views can add value to a data analyst’s user experience. Programming in this kind of interaction automates the creation of complementary charts and increases ease of exploration by linking varied views of the data in a logical way.
Data R Code Analytics Data Science Data Visualization Tutorials R Shiny JavaScript Machine Learning

Analytics at Scale: h2o, Apache Spark and R on AWS EMR

Mark Stephenson
Thursday, 21 June 2018 / Published in R, Code, Analytics, Apache Spark, Data Science, h2o, Predictive Analytics, Tutorials, Sparkling Water, Machine Learning
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 scalable, but there is a great community of fellow h2o users that have helped over the years, not to mention the staff leadership at the company is very responsive...
R Code Analytics Apache Spark Data Science h2o Predictive Analytics Tutorials Sparkling Water Machine Learning

Red Oak Strategic - Time Series Forecasting with Machine Learning

Mark Stephenson
Monday, 7 May 2018 / Published in Data, R, Code, Analytics, Time Series, Data Science, Forecasting, Predictive Analytics, Tutorials, 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.       You will learn how to: Build a machine learning model to forecast time series data (data cleansing, feature engineering and modeling) Perform feature engineering to...
Data R Code Analytics Time Series Data Science Forecasting Predictive Analytics Tutorials Machine Learning

Blockchain from a Data Science Perspective

Daina Andries
Thursday, 26 April 2018 / Published in Data, Code, Data Processing, Financial Analytics, Data Science, Blockchain, Case Studies
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 transaction is engraved on the coin. Every transaction in the history of that coin’s existence is in plain sight on the face of the coin—and the longer the coin...
Data Code Data Processing Financial Analytics Data Science Blockchain Case Studies

Red Oak Strategic - Exploratory Data Analysis: CDC's 500 Cities Project

Mark Stephenson
Wednesday, 28 March 2018 / Published in Data, R, Code, Analytics, Exploratory Data Science, Data Science, Data Visualization, R Shiny
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 analysis (EDA) techniques for exploring a new dataset. The analysis will be done with R packages data.table, ggplot2 and highcharter.
Data R Code Analytics Exploratory Data Science Data Science Data Visualization R Shiny

Red Oak Strategic - Data Processing with Regular Expressions in Python 3

Daina Andries
Wednesday, 31 January 2018 / Published in RegEx, Data, Code, Data Processing, Analytics, Python 3, Data Science, Databases, Python, Tutorial
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 into play when you use regular expressions. Once you have identified and defined a set of patterns, you can strategically search and extract data from raw text according...
RegEx Data Code Data Processing Analytics Python 3 Data Science Databases Python Tutorial

Red Oak Strategic - Exploratory Data Analysis: CDC's 500 Cities Project

Mark Stephenson
Friday, 5 January 2018 / Published in Data, R, Code, Analytics, Data Science, Data Visualization, R Shiny
Exploratory data analysis (EDA) is generally the first step in any data science project with the goal being to summarize the main features of the dataset. It helps the analyst gain a better understanding of the available data and often can unearth powerful insights. Data visualization is the most common technique in EDA. During this post, I...
Data R Code Analytics Data Science Data Visualization R Shiny

Red Oak Strategic - How To: Add & Execute Python Excel Macro

Mark Stephenson
Thursday, 14 December 2017 / Published in Data, R, Code, Excel, Data Science, Python, Tutorials
Frequently, we encounter projects that require the combined use of Python, Microsoft Excel and some external databases that can only be accessed via Excel, or use cases that require the end product to be output to that format.  Excel is still used as a key program for the vast majority of businesses and we are often challenged to create...
Data R Code Excel Data Science Python Tutorials
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