Enable more strategic planning with faster, more accurate forecasting leveraging AI and machine learning
To help organizations modernize their financial operations and improve FP&A capabilities, Neal Analytics is offering a 10-week engagement to help organizations demonstrate the value of leveraging machine learning-based forecasting leveraging Azure Machine Learning.
Prior to kicking off the POC, Neal works hand in hand with the customer to assess their current environment, pain points, and top areas of improvement. Neal engineers and data scientists will also work to implement the initial infrastructure required to build the POC, including Azure Data Factory, analytics tools like Azure Synapse Analytics or Azure Databricks, and a database to operate off of, such as Azure SQL Database or Azure Data Lake.
Over the course of the 10-week POC, Neal will identify development priorities, implement resources and architect the required environment, and build custom machine learning models for the customer's preferred scenario.
At the end of this 10-week proof of concept, the customer will receive a fully functional machine learning-based financial forecasting solution with Power BI dashboard for one forecasting function (e.g., OPEX, revenue, etc.).
Curious about the benefits of Machine Learning-based forecasting? Read about them here: https://go.nealanalytics.com/MLforecasting
Machine Learning forecasting customer story: https://go.nealanalytics.com/modernize-forecasting