Assess existing data quality and refine it for use in new predictive models
A natural gas and electricity utilities provider that serves nearly 4 million customers and invests over $1 billion in capital each year to improve service.
The company was struggling to accurately anticipate how much demand different areas of their network would have. This led to supply problems and scrambles to fill service gaps. They needed a predictive modeling platform that could automate processes and maximize efficiency by allowing accurate, proactive supply adjustment.
The client’s leadership team brought Ironside on as an expert resource to help with the following:
Discover Data Resources
Prepare the Data
Develop & Test the Model
Deploy to the Organization
KEYS TO SUCCESS
The demand forecasting project enabled the client to:
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