Data to ROI:
Leading in the Age of AI
The difference between leading and losing is in the ability to drive action through data.
AI is creating billions in value every day, while data growth is pushing the boundaries of organizational abilities.
Companies are just figuring out how to capture value from advanced data technologies and big data, with many struggling to get off the ground. Here are the most common challenges in getting ROI from Data:
Information is scattered across disparate systems, making it hard to create a unified view of customers, operations, and finances.
Inconsistent, incomplete, or unreliable data undermines trust in analytics, making it difficult to base decisions on solid evidence.
Even when insights are generated, there’s often a disconnect between analytics outputs and strategic business initiatives, preventing companies from acting quickly and decisively.
Legacy tools like Excel create missed opportunities in big data value extraction, and leave room for manual data processing error.
A shortage of in-house data expertise makes it hard to know what to do with new methods and technologies advancing the state of play every single day.
For modern organizations, data drives value by enabling high quality decisions and process automation.
Growth
By algorithmically pricing, anticipating demand, identifying expansion opportunities, and scoring prospects, companies are able to achieve revenue uplifts of 10-20%.
Margin
AI-driven price and cost optimization offer the opportunity to increase gross profit by 5-10%.
Efficiency
Leveraging AI and optimization reduces SG&A by cutting unnecessary cost, increasing SLAs, and driving overall efficiency. Firms adopting these techniques can see 20-40% savings in overhead costs.
At Stratus Data, we focus on where and how to deploy AI, ML, Optimization, and Advanced Analytics across a breadth of industries.
Stratus Data
Medical Device Manufacturer Improves Customer Service and Supercharges Sales Team with Intuitive Data Dashboard - Stratus Data
Koru Medical Systems develops and manufactures home and specialty infusion systems. With over 40 years of experience and $25 million in annual revenue, Koru’s small team takes pride in bringing to market safe and affordable healthcare products that change lives for the better. Koru’s systems generate a great deal of data, which has for years […]
Stratus Data
Traditional healthcare manufacturer evolves into a data-driven powerhouse - Stratus Data
In 2020, Nasco CEO Ken Miller noticed that messy data and outdated techniques were interfering with the accuracy of foundational company-wide initiatives. Miller teamed up with Stratus Data to upgrade Nasco to a data-driven organization.
Stratus Data
Meal kit company saves $1M/year by upgrading to Stratus Data’s demand forecasting algorithm - Stratus Data
The Client is a leading meal kit company. A subsidiary of a Fortune 500 food retailer, they deliver to thousands of locations across America. In 2020, the Client was predicting future demand by calculating simple averages of sales from recent weeks. In search of higher accuracy, Chief Product Officer (CPO) Scott P. hired Stratus Data […]
Stratus Data brings strategic and hands-on capabilities cultivated through decades of experience and over a hundred projects.
Background & Expertise
Analytics
Statistical Inference, Reporting, and Alerting
Automation
Data engineering, scraping, and harmonization
Machine Learning
Prediction and Pattern Detection
GenAI
AI-powered workflows and data analysis
Projects
Clients
Years in Operation
Trusted By
Published in
Awarded for
Operating Philosophy
Listen Carefully Organizations don't come out of a box, and neither should their solutions. Partner for the Long Run Plan and build towards the client's long term vision. Start Simple Start simple then add complexity. 80% of value can be created with 20% of the effort. Win Quick Build momentum by creating solutions that prove value quickly.Go big after. Drive Value Focus on solutions that drive measurable value by targeting key actions and decisions.
Team
Founders Charles Pensig, Co-Founder Analytics and Data Infrastructure Data Scientist and business translator generating results such as immediate 5% revenue lift, 2% gross profit lift, and 1,000 hours saved per year through deep dive analyses finding key levers to big outcomes and data automation. Built data science functions at early- and mid-stage Silicon Valley IoT, Wearables, and SaaS companies, with 2 acquisitions; and the Wharton School's Center for Analytics & AI. Derek Chang, PhD, Co-Founder Machine Learning and Optimization Data Scientist and engineer developing algorithms and data automation systems saving clients 1,000 hours per year, reducing SG&A by 15-40%, and reducing CoGS by 5-7%. Founding data scientist at $200M internet and acquired IoT company. PhD Stanford EE, BS Caltech EE, former nuclear fusion researcher. Data Science Team Applied Experience from Silicon Valley and Beyond Tech: Google, Amazon, Meta Consulting: McKinsey Finance: Goldman Sachs Government: NASA, Livermore Labs Research and Applied Degrees from Harvard, Stanford, Wharton, and Caltech CS: Machine Learning, Artificial Intelligence Science: Physics, Computational Biology Engineering: Electrical Engineering, Signal Processing Math: Statistics
3 Ways to Work Together
Additional
Articles
Venturebeat
Replacing coders with AI? Why Bill Gates, Sam Altman and experience say you shouldn’t
In the race to automate everything – from customer service to code – AI is being heralded as a silver bullet. The narrative is seductive: AI tools that can write entire applications, streamline engineering teams and reduce the need for expensive human developers, along with hundreds of other jobs.
Awards
For excellence in applied business intelligence and AI.