Data Modeling
Data Engineering
Lack of data is rarely a problem with companies nowadays. Connecting disparate systems and creating data that is ready to be analyzed is a challenge. Data engineering is the sometimes forgotten, but essential and time-consuming part of Data Science. It enables companies to transform their data into useful information and opens doors for insightful data visualization, predictive analytics, and machine learning applications.
Data Visualization
Data visualization provides an accessible way for companies to get business insight into their operations. A well engineered stream of data can power dashboards and visuals that show trends, outliers, and patterns that are otherwise hard and time consuming to get to. Our team has built custom solutions using R Shiny, Python Dash, Power BI, Tableau, and Looker to empower analytics and support business decisions with data insight.