automating data science to make businesses run better

ThroughPut’s algorithm automates problem discovery. Using API integrations, ThroughPut identifies problems magnitudes faster than professional consultants at a fraction of the cost. The algorithm automates the following steps a data scientist would take: 1. Collect Data 2. Normalize Data 3. Prepare Visualization 4. Highlight Abnormal Behavior 5. Simulate Overtime Savings by Reducing Unpredictability. This eliminates upto 70% of the manual process, and reduces analysis time for your entire organization. Furthermore, the algorithm transforms your data to highlights problems via selecting methodologies on a case-by-case scenario, such as: Continuous Improvement - Statistics - Industrial Knowledge - Manufacturing Knowledge - Operations Management - Cost Accounting - Root Cause Analysis - Process Engineering – Automation - Process Controls – Econometrics - Value Chain Optimization - Supply Chain Knowledge - Machine Learning - Failure Analysis - Ordinary Differential Equations - Correlations & Causation Analysis - Prescriptive Analytics - Financial Analysis. This algorithm compiles 15 years of combined supply chain experience, 10,000 hours of code development, and 100s of customer feedback interviews across a variety of industries. The end results are recommendations that quantify and rank costly problems, enabling swift resolution internally or through our solutions product line.