Advanced Analytics Tailor-Made For COMPETITIVE Gas and Electric Energy Retailers
Data is one of the most powerful decision making tools available to Energy Suppliers in today's market. But if you are like most companies, your data is scattered across multiple billing, financial, sales and trading tools. Getting a clear picture of your company's metrics is easier said than done--unless you invest in zbi.
Descriptive Reporting for OPerations and FInance
Descriptive reporting is what people think of most often with a Business Intelligence solution. But descriptive reports are only valuable if they provide a complete picture. That's why our implementation process starts by setting up data feeds from all of your systems into zbi. (Yes, even non-Znalytics systems.) After all, you can't clearly determine the real life-time value of a customer unless you also know you acquisition and commissioning costs, the number and frequency of customer service issues and billing inquiries and their potential for referring business over the long term. We give you that holistic view.
Each zbi installation for retail energy includes predefined dashboards around areas critical to your business--like sales, operations, finance, etc. These dashboards provide a quick graphical snapshot of your business. They also provide interactive drill-down capabilities so that you look at the underlying data that creates that snapshot. We also give you the option of having additional custom reports and dashboards created to meet your unique business needs.
Predictive Data Models
Aggregating your data is a great start. But to reach the next level we need more than just your own historical data. That is why we also import data from external sources such as weather reports, demographics information and even competing energy offers. This lets you analyze your own data with contextual information from the broader marketplace. Having this additional data also lets our data scientist build predictive models that can help you forecast future outcomes. For example you could predict renewal and retention rates among each of your customer segments based on current data trends.
Prescriptive Data Analysis
The final progression in zbi is empowering you to make better decisions. We do this through prescriptive analysis. During this process your predictive models are evaluated and leveraged to determine what might happen in different scenarios. For example, if a customer segment has a high predicted churn rate you might run scenarios that help improve retention for that customer block. Prescriptive analysis could help you determine what product offers best balance customer renewal rates and account profitability. They could even tell you the best date and format to present that renewal offer to the customer. Is it perfect? No. Prescriptive analysis is always a work in progress. But this data analysis, combined with your own business knowledge and choices, can be a powerful factor in increasing the overall value of your customer book.