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Strategic Data Analytics Services
Data Aggregation, Feature Selection, and Model Selection
Depending on the context and objectives of the data analysis, Project77 utilizes a variety of data techniques to glean meaningful insights from data. We specialize in statistical techniques such as linear/logistic regression, time series analysis, and unsupervised learning models (e.g. clustering, hierarchical clustering, k-means) and prescriptive analytics techniques such as Difference-in-Differences, Monte Carlo simulations, and optimization (i.e. Solver).
Software Packages
Intuitive Data Visualizations, Frameworks, and Reports Business Consultation
Project77 utilizes a variety of software packages to create visualizations that take complex findings and present them in a way that is informative and engaging. As the size and scope of data increases, the complexity of the data analysis increases as well. Project77 synthesizes the analysis and insights of data with powerful data visualization packages to produce valuable, meaningful, and actionable outputs.
Data Consultation
Personal Data Coaching, Change Management, and Technical Support
Project77 strongly believes in a hands-on approach when cleaning, transforming, and interpreting data. We want to ensure a deeper and more insightful understanding of the data to encourage a well-informed decision-making process. Our skillsets not only allow us to process complex educational data, but also to effectively communicate information back to all relevant stakeholders.
Information and Decisions
System Implementation and Customizations Programming Console
For big data to be useful, the refined information needs to be able to bridge the gap between data silos and decision makers. Project77 works very closely with its partners to create customized reporting that end users can interpret and act upon. Additionally, we ensure that any outputs created can easily be integrated with current processes.
Programming Languages Used
Python, SQL, R, and VBA
Project77’s knowledge of popular programming languages used in data analytics allows us to tackle data issues with unprecedented approaches towards statistical analysis, automation, and efficiency development.