Operational Visibility
Turn disconnected operational data into useful reporting, KPIs, and decision support.
ANALYTICS FOR UTILITIES, BROADBAND & INFRASTRUCTURE
Turn operational data into better infrastructure decisions.
Schleiger Analytics helps utilities, broadband providers, and infrastructure organizations use their data to improve operations, evaluate opportunities, automate reporting, and make better decisions.
See What We Do →WHO WE HELP
Analytics grounded in infrastructure operations.
We support utilities, broadband providers, infrastructure organizations, and the engineering and consulting firms that serve them. Our utility and broadband operational experience informs how we bring disconnected information together, improve reporting, and support planning and business decisions.
WHAT WE HELP SOLVE
Clearer information for operational and business decisions.
Planning & Forecasting
Use historical, customer, financial, and operational data to forecast demand, revenue, growth, and resource needs.
Investment & Market Analysis
Use data to evaluate opportunities, expansion scenarios, capital decisions, and market economics.
Data Integration & Automation
Clean, consolidate, transform, and automate data across databases, spreadsheets, operational systems, and reporting platforms.
SELECTED WORK
Analytics built for real-world problems.
BROADBAND ANALYTICS
Pulse Fiber
Experience: Broadband operations, customer data analysis, and revenue projections using customer data.
Work: Customer segmentation, revenue forecasting, and data mapping associated with a migration from SugarCRM to Salesforce.
Value: Clearer customer segmentation and a structured approach to evaluating future revenue performance.
UTILITY OPERATIONS
City of Loveland
Experience: Electric load reporting, database redesign, and operational reporting.
Work: An automated data pipeline, data cleanup, and consolidation of information distributed across spreadsheets.
Value: Automated recurring processing and improved access to operational information.
APPLIED MACHINE LEARNING
Stampd Social
Challenge: Travel and social data needed to produce more relevant recommendations.
Solution: A recommendation workflow with a deployable application serving layer.
Outcome: A deployable recommendation platform with repeatable infrastructure.
HOW WE WORK
Practical analytics, supported by reliable data.
We combine data pipelines, database design, data cleaning and transformation, reporting, statistical modeling, forecasting, and automation. Python, SQL, and Power BI support the work where appropriate.
OPERATIONAL EXPERIENCE
We understand the environment behind the data.
Real utility and broadband operational experience informs our analytics and data engineering. We understand both the systems that produce the information and the reporting and planning decisions it needs to support.
START WITH THE QUESTION
Have an operational data problem?
If you work with a utility, broadband provider, infrastructure organization, or engineering or consulting firm, let's discuss what you're trying to solve and what useful decision support could look like.
Start a Conversation →