If you need a platform that gives you immediate access to outside data for sales forecasting and pricing optimization, Cybersyn is another good option. Cybersyn supplies fast, detailed information about consumers and the economy through a range of proprietary and public data content products. The platform pushes analytics-ready data into Snowflake instances so outside data can easily be incorporated into business decisions. It comes with six types of data, including Consumer Insights, Financial & Economics, Government Essentials, and Financial & Economic Essentials, along with data dictionaries and SQL examples to get you started.
Another contender is Faraday, a customer behavior prediction platform that can help businesses convert leads into customers, forecast spending, spot churn and personalize customer interactions. It can pull data from multiple sources for a unified customer behavior view and has features like adaptive discounting, content personalization and lead scoring. With a developer-friendly API and strong security and privacy controls, Faraday is designed to fit into existing operations.
Obviously AI is another option, particularly if you want a no-code option. The platform automates data science workflows so you can build and deploy machine learning models to predict outcomes like churn, lead conversion and dynamic pricing. With features like fast model creation, automated model monitoring and real-time REST APIs for integration and visualization, Obviously AI can be integrated with tools like Zapier, Airtable and Salesforce to inform decisions across your organization.
If you want a more complete predictive analytics package, check out Infer. This AI-powered platform integrates with big data connectors like Snowflake, Azure and Google to offer lead scoring, customer retention, lifetime value prediction and demand forecasting. With its user-friendly interface and ability to shorten sales cycles and lower costs, Infer can help businesses improve overall performance and optimize operations.