Predictive Machine Learning Analytics for Your Business
What if you could harness the power and prediction capabilities of machine learning to address your company’s most pressing questions?
Companies have more data than ever before, but most of it sits untapped.
The brilliance of machine learning is that there are very specific tools that can help identify and unlock strategic value for your organization.
Partnering with a seasoned data scientist who digs deep to uncover insights is an incredible asset. Not only that, but our team is skilled at explaining what’s going on inside the “black box” of machine learning algorithms so you can leverage our expertise with confidence.
Our team has advanced degrees in Computational Data Analytics and is skilled at supervised and unsupervised machine learning algorithms as well as time series decomposition and prediction.
Don’t know what that means? No problem - that’s why we’re here. Check out real-world examples of our work:
Identifying Sales Trends and Predicting Sales Dispersion Across Geographies
Challenge:
A consumer electronics retailer needed better insight into regional sales at a product level to more efficiently manage their supply chain.
Solution: Our team processed and tagged several years of sales data, identified patterns and correlations across various product lines, uncovered product trends and specific seasonality, then created bespoke prediction models for our client’s nine main geographic regions.
Result: A finely tuned prediction model allowed our client to implement more efficient supply chain and inventory management. We also identified previously unknown cross-marketing opportunities among products, which varied by region.
Home Price Prediction
Challenge:
An independent realtor wanted a better home pricing tool. Neighborhood comparables can be misleading, particularly when volume is low yet there are plenty of local transactions to analyze.
Solution:
Our team performed feature analysis on thousands of local home sales that decomposed the value of each home attribute.
Result:
The result was a more precise home pricing tool could be leveraged for our client to get the top value in the least amount of time.
Clinical Trial Cohort Analysis
Challenge:
A small pharmaceutical company was perplexed by an interim data readout they received from a clinical trial for a new medicine they were testing. They had limited financial resources, yet needed to decide how to invest in the future of their development program before receiving unmasked patient data.
Solution:
Our team studied the statistics and dove into the large set of masked patient data to create a probabilistic sorting algorithm. We then backtested millions of patient sorting combinations to output a solution set of the most likely outcomes. We delivered a set of probability-weighted outcomes to our client.
Result:
The probabilistic model allowed our client to make a more informed decision about where to invest their limited resources. We hope this leads to a new medicine approval in the future!
What are you waiting for?
Reach out today for a confidential consultation: