Analytics

What We Do

Derive powerful insights from big data and turn them into a significant competitive advantage. Peachtree AI helps you to collect and understand complex data structures that are not analyzable by traditional architectures. Our group is supported by a skilled team with advanced degrees in applied mathematics and computer science, who apply cutting-edge techniques and best practices to ensure you overcome your challenges with powerful insights.

With Peachtree AI, you can build an adept analytics organization with transformative power:

• Strengthen customer relationships by better serving needs and discovering a deeper understanding of their behavior.
• Demonstrate the value of an initiative and prove its worth by implementing studies designed for causal inference.
• Make the right long-term decisions by analyzing complex big data to reduce bias and discover unexplored opportunities.
• Significantly reduce costs by automating analytical pipelines and ETL workflows to increase efficiency.

Our Approach

Advanced analytics with artificial intelligence isn't a project to be left wholesale to IT. It is a strategic business opportunity that requires technical know-how and organizational coordination. Companies making the transition to AI must build data and analytics into their core functions, an enterprise that requires careful change management and cross-cutting transparency.

Companies exploring big data and AI technologies often seek to use preexisting architectures, outside datasets, and off-the-shelf libraries. While these assets can be useful for purposes of exposition, rarely are they tailored to the specific challenges the business faces and the quality the business demands. Moreover, companies usually overlook the incredible store of untapped proprietary information they already possess:

• We first scope the strategic objectives a company wishes to serve with advanced analytics and AI.
• Next, we identify processes that present opportunities of the greatest value.
• After communicating the strategy, we provide the analytical and engineering rigor necessary implement them.

The use of appropriate scientific inference techniques to avoid spurious relationships is of paramount importance, which takes an experienced scientist to address. Our skilled team is prepared to support initiatives involving any number of methods, including supervised and unsupervised machine learning, predictive modeling, customer segmentation, and experimental design. Our development team is fluent in a multitude of industrial front-end and back-end languages, making integration and continued support seamless.