Predictive Analytics Services with Azure ML and Power BI 

AI forecasting, anomaly detection, and Power BI insights that turn your data into decisions. 

Trusted by Progressive Companies

What predictive analytics services turn your data into

M365-circle-logo

Most businesses sit on data that could warn them early — about demand, churn, downtime, or fraud — but never act on it. Codevision builds predictive models on Azure ML and Power BI that turn your operational data into foresight leadership can use:

  • Forecasts demand and trends — plan with confidence instead of guesswork.
  • Detects anomalies early — catch fraud, faults, and outliers before they escalate.
  • Surfaces insight in Power BI — predictions where your teams already look.
  • Grounded in your data — models built on your history, not generic benchmarks.

Our predictive analytics services

Demand & Sales Forecasting

Models that predict demand, revenue, and trends from your history.

Anomaly Detection

Early warning for fraud, equipment faults, and operational outliers.

Churn & Risk Prediction

Models that flag at-risk customers, accounts, or assets in time to act.

Azure Machine Learning

Custom models built, trained, and deployed on Azure ML.

Power BI Insights

Predictions and dashboards surfaced where your teams already work.

Model Monitoring

Ongoing tracking so models stay accurate as conditions change.

Analytics built on the Microsoft data stack

We turn raw operational data into models and dashboards you can act on daily.

Technology

Azure ML Expertise

Certified specialists building and deploying production models on Azure.

Power BI Integration

Predictions delivered inside the reports leadership already uses.

Grounded in Your Data

Models trained on your history for relevance and accuracy.

Monitored & Maintained

Tracking and retraining so accuracy holds over time.

0

Forecast accuracy achieved

0

Reduction in unplanned downtime/loss

0

Faster detection of anomalies

0

Predictive models deployed

How we build a predictive model

A path that proves accuracy before decisions depend on it.

Assess Data

We review your data quality, history, and the decisions you want to improve.

Build & Train

We build and train models on Azure ML using your data.

Validate

We test accuracy against real outcomes before rollout.

Deploy & Monitor

We surface results in Power BI and monitor accuracy over time.

Built for trust, security, and governance

Predictions inform real decisions, so accuracy and accountability matter.

Transparent Models

We explain what drives a prediction so leaders can trust it.

Secure Data

Runs under your Azure security baseline; your data stays yours.

Responsible AI

Bias and fairness checks aligned with Microsoft's standards.

Ongoing Accuracy

Monitoring and retraining keep models honest as reality shifts.

Real Results. Real Impact.

Explore All Case Studies

Trusted by Businesses Worldwide: 100+ Happy Clients

They've experienced our services and they know how we did it.

From Disconnected Systems to a Connected Microsoft

Power Platform

How Microsoft Power Platform Powers Frontier Transformation for Modern Enterprises

Move beyond automation with Microsoft Power Platform. Connect data, processes, and applications to streamline operations and accelerate business growth.

Why Companies Lose Thousands on Unused Office Assets Every Year

Microsoft 365

Why Companies Lose Thousands on Unused Office Assets Every Year

Unused office assets often lead to duplicate purchases and unnecessary costs. Learn how CV Classified helps organizations reuse existing assets through a secure SharePoint-powered internal marketplace.

Microsoft Teams vs SharePoint Intranet: Why Modern Businesses Need Both

Microsoft 365

Microsoft Teams vs SharePoint Intranet: Why Modern Businesses Need Both

Microsoft Teams and SharePoint Intranet aren't competitors—they're complementary tools. Learn how using both together improves communication, knowledge sharing, governance, and employee productivity.

Frequently Asked Questions

Predictive analytics uses historical data and machine learning to forecast what’s likely to happen next — demand, churn, failures, fraud — so you can act early. Codevision builds these models on Azure ML and surfaces them in Power BI.

We turn operational data into decisions leadership can act on, including:

  • Demand and sales forecasting
  • Anomaly detection for fraud and equipment faults
  • Churn and risk prediction
  • Power BI dashboards with embedded predictions

Enough clean historical data about what you want to predict — sales, transactions, sensor logs, customer activity. We assess data quality first and tell you honestly whether it’s ready.

Yes. We build and deploy models on Azure Machine Learning and surface predictions inside Power BI so insight lands where your teams already work.

Accuracy depends on data quality and how predictable the outcome is. We validate every model against real outcomes before rollout and report accuracy honestly — no inflated promises.

We monitor deployed models and retrain them as conditions change, so accuracy holds rather than drifting after launch.

Any data-rich operation benefits, but it’s especially valuable in:

  • Banking, insurance and fintech (risk and fraud)
  • Manufacturing (downtime and quality)
  • Retail and real estate (demand)
  • Logistics and healthcare (planning and outcomes)

Ready to start your Microsoft transformation?

Partner with codevision to accelerate innovation, streamline operations, and achieve measureable results.