Analytics as a Service

Who:

  • Business executives - CFO, Controllers, AMI Operations, Billing Operations (AMI Data Management), Distribution Operations and Planning, Customer Service
  • Who need analysis, information to support decision making, planning, and risk assessment 

What: 

  • Give us the data, ask us questions and we take care of the rest
  • Our focus: CIS, AMI, operations, OT data

Example use cases: 

  • Financial, revenue, unbilled revenue
  • Operations - improved design models, Power Quality analysis - i.e. voltage, Conservation Voltage reduction, Volt/Var Optimization 
  • Customer service, satisfaction, bad debt, behaviors - Demand Side Management 
  • Regulatory, compliance reporting 

Pre-built Customer Relations and Billing Reporting 

 
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Meter to Mail

  • Meter Read Order to Meter Read Upload 
  • Meter Read Upload to Bill 
  • Bill to Invoice
  • Invoice to Print
  • Print to Mail 
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Revenue Management

  • Billed Revenue Sales Statistics 
  • Unbilled Revenue 
  • Gross Margin 
  • Revenue Leakage
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Reconciliation

  • Supercube - Reconciliation between GL and
  • Sub Ledger
  • Revenue Reconciliation
  • Receivable Reconciliation 
  • Master Data Reconciliation 

Credit & Collections

  • A/R Performance
  • Payment & Clearing 
  • Dunning Analysis
  • Collection Agency Performance
  • Write Offs 
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Master Data

  • Customers, Accounts, Contract, Premise
  • Equipments, Assets
  • GL, Chart of Accounts
  • 30+ Other Master Data EDW Objects

Customer Services

  • Customer Interactions 
  • Services Work executions 
  • Customer Satisfaction 
  • Time to resolution 

Advances Analytics for Utilities 

 

Customer Engagement

  • Improve in competitiveness 
  • Increase campaign effectiveness 
  • Increases probability 
  • Support financial reporting and other use cases 

Customer Churn

  • New customers can cost five times more than retaining existing customers 
  • Predict customers who are likely to churn
  • Implement effective of customer retention program

Credit & Collections

  • Lower bad debt expenses 
  • Improved dunning strategy 
  • Better customer service
  • More accurate bad debt forecast
  • Faster decision making, reduced operational cost 

Real-Time Customer Scoring

  • High customer engagement 
  • Reduce Churn
  • Improve Upsell Opportunity 
  • Market the best product for the customer 
  • Reduce AHT