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PredictSheets: Leveraging Machine Learning for Business Predictive Analytics
Technology Category
- Analytics & Modeling - Machine Learning
- Analytics & Modeling - Predictive Analytics
Applicable Industries
- Cement
- Equipment & Machinery
Use Cases
- Building Automation & Control
- Predictive Maintenance
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
The Challenge
Adam Roach, the founder of PredictSheets, identified a gap in the market where business owners who were not familiar with machine learning struggled to analyze complex data sets and predict outcomes. This challenge was limiting the potential of businesses to increase their value. Common issues that businesses faced included reducing customer churn, preventing employee attrition, and boosting sales-win rates. Additionally, Adam had previously experienced the high costs, time consumption, and stress associated with hiring developers to build a mobile app. He was looking for a more efficient and cost-effective solution to offer his expertise in a self-service manner.
About The Customer
The primary customers of PredictSheets are business owners who lack familiarity with machine learning but need to analyze complex data sets and predict outcomes to increase the value of their businesses. These businesses face challenges such as reducing customer churn, preventing employee attrition, and boosting sales-win rates. The customers of PredictSheets span various industries and sectors, as the app is broad and can be used for all predictive analytics cases. The customers are also early adopters who value one-on-one support and are keen on leveraging predictive analytics to drive their business growth.
The Solution
Adam developed PredictSheets, an app built on Bubble, a no-code platform. The app allows users to upload a dataset, like an Excel file, to the platform. The system then automatically builds a model to generate predictions. Once the predictive model is built, the user can download the file and 'score' the new data. For instance, if a user has new sales leads, they can use the model to predict the probability of winning for each lead. This enables businesses to prioritize their outreach and improve their win-rate. To assist users who may have trouble formatting the initial dataset, Adam offers Unlimited Premium Support to all subscribers, walking them through the process step-by-step to ensure they get actionable insights from their data.
Operational Impact
Quantitative Benefit
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