Utilities: Data Systems & Analytics

Your SCADA system does not talk to your compliance reporting. Your maintenance logs do not connect to your rate case data. Utilities are paying for disconnected monitoring, compliance, and asset management tools—and engineers are stuck manually compiling data that should flow automatically. APA builds integrated systems that connect sensor data, predictive maintenance, and regulatory reporting into a single platform.

The Cost of Compliance Failures & Failed Rate Cases

Safe Drinking Water Act violations carry civil penalties of up to $37,500 per day per violation, per U.S. EPA regulation under 40 CFR Part 19. Failed rate cases = frozen budgets for 3-5 years while infrastructure crumbles. If you can't prove ROI on infrastructure investment, you're explaining service failures to angry communities.

Why Choose Applied Predictive Analytics

Most utilities are trapped paying for fragmented systems—separate tools for SCADA, compliance, asset management, and rate case preparation that never connect. With a Master of Science in Data Science from USC Viterbi School of Engineering, APA builds integrated platforms where the front end captures operational data from sensors and field crews, the back end validates and connects that data, and the analytics predict failures before they happen and automate compliance reporting. Patent pending.

We replace disconnected monitoring tools with systems where predictive maintenance, EPA compliance, and rate case data work together—so your engineers stop compiling spreadsheets and start preventing failures.

Is Your Utility Exposed to Regulatory or Financial Risk?

Check all that apply. Each box represents potential violations or revenue loss:

EPA or state reporting deadlines have been missed or barely met in the past year

You can't produce infrastructure ROI data when asked by regulators or the public

Your last rate case was rejected or challenged due to insufficient data

You're manually compiling compliance reports instead of automating them

You can't demonstrate environmental performance or sustainability improvements

Infrastructure investments lack documented impact on service reliability or community

If you checked even one box, you're exposed to regulatory penalties and revenue risks. Let's address these vulnerabilities before they cost you millions.

Our Utility Services

Regulatory Compliance Reporting

Automate EPA and state reporting for water quality and emissions. Stop scrambling to meet deadlines have compliance data ready automatically.

Infrastructure Impact Tracking

Document ROI on grid upgrades and community infrastructure investment. Prove value to regulators and the public with concrete data.

Rate Case Data Preparation

Compile performance data to support rate increase justifications before regulators like the CPUC. Build bulletproof cases with comprehensive supporting evidence.

Environmental Performance Systems

Track and report environmental stewardship and sustainability metrics. Demonstrate compliance and community commitment.

"Our Engineers Are Probably Already Doing That"

We hear this often. Your engineers are experts but are they data scientists? Here's what most utilities don't realize:

$37.5K

Maximum daily civil penalty for Safe Drinking Water Act violations, per 40 CFR Part 19.

3-5yr

Wait time before retry after failed rate case.

Your engineers understand pipes, grids, and infrastructure. But predictive ML requires specialized data science expertise:

Predictive maintenance – ML models that forecast pipe integrity degradation before failures occur
Anomaly detection – Automated systems that flag irregular patterns human analysis misses
Resource optimization – Data-driven scheduling that maximizes efficiency across complex systems
Regulatory automation – Systems that compile compliance data continuously, not quarterly scrambles
Impact quantification – ROI models that prove infrastructure value in rate case filings

We bridge the gap: Your engineers' domain expertise + Our ML capabilities = Predictive systems that actually work.

Your team knows when pipes typically fail. We build models that predict failures 6+ months in advance using sensor data, environmental factors, and historical patterns preventing outages before they happen.

Case Study: ML Pipeline for Production Optimization

We created a novel ML pipeline and notification system to supplement a microchip manufacturing process.

Patent pending. The approach combined real-time sensor data with predictive analytics to optimize production parameters before defects occurred exactly the methodology we apply to utility infrastructure monitoring.

Same principles, different application: anticipate problems before they become failures.

The Service Continuum

From assessment to ongoing analytics—a continuous engagement for utilities

Assessment

We audit your current tools, map how data flows between SCADA, compliance, and asset management systems, and identify where fragmented platforms are costing you time and regulatory risk.

Implementation

We build an integrated platform where sensor data, predictive maintenance models, and compliance reporting connect automatically—replacing disconnected tools with one system.

Ongoing Analytics

We provide continuous analytical support—refining predictive models, automating compliance reports, and delivering rate case-ready data on demand.

USC

Viterbi School of Engineering — M.S. Data Science

10+

Years in Data & Operations

✓

Aspen Institute Fellow

ML

Patent pending

You Are Already Paying for a Broken System

Every month you spend on disconnected monitoring and compliance tools is a month of manual data compilation and avoidable regulatory risk. Let us show you what an integrated platform looks like for your utility.