Forecast outcomes, surface drivers and nudge the right actions. We design analytics that don’t just predict, they influence human and business behaviour to improve results.
Most organizations already understand what has happened in the past. The real advantage today is knowing the likelihood of the next event and using that knowledge to influence people’s behavior. Predictive analytics transforms data into foresight, enabling leaders to make decisions early and helping teams take timely, effective actions.
Our focus is practical: forecasts only matter if they change behaviour. We design insights to be understandable, contextual and embedded in the flow of work, so actions happen, not just reports.
Our models includes smart prompt, alerts, and tips that help people make better decisions every day.
We handle everything (data setup, modeling, and Power BI dashboards) all in one place.
Our solutions work easily with Azure Machine Learning, Power BI, and the Power Platform, so they’re quick to adopt.
We explain what drives the results, so you understand why predictions are made instead of a confusing “black box” model.
We have delivered proven results in industries such as manufacturing and government, helping reduce delays and improve efficiency.
Live dashboards that predict what’s next and suggest the “next best action.”
Ready-made templates for key areas like safety, maintenance, demand, and complaints that are also easy to scale across locations.
Strong data governance with role-based access, audit logs, and data residency controls.
Ongoing results tracking after launch, monitoring adoption, completed actions, and impact on performance.
We use data to predict things like demand, risk, and performance. By combining past data with live updates, we keep forecasts accurate and useful. These predictions help teams adjust plans, staffing, and actions to improve results.
We analyze data to understand what drives performance and where patterns appear. Using techniques like clustering and A/B testing, we identify what truly changes behaviour. We share actionable and easy-to-understand insights in Power BI so that all stakeholders (not just analysts) can take action on data.
We build smart models to predict customer loss, spot quality issues, recommend actions and detect unusual patterns. Our tools generate “next best action” lists that help teams respond in real time. We connect these insights directly to Microsoft tools like Power Apps and Power Automate to trigger the right next steps automatically.
We predict future sales, service requests, production needs, and resources to help operations run efficiently . Our scenario forecasts (best, base, and worst case) support planning and budgeting. We provide early warning signs so managers can take action before performance is impacted.
We spot new risks and trends early and measure how likely they are to happen and what impact they could cause. We monitor changes in the market or operations and explain what they mean and how to respond to the changes. We use reminders, alerts, and recommended actions to proactively help teams reduce risk.
We help predict maintenance needs and safety risks, showing the “next best action” to take. Teams are provided with clear lists of actions and priorities that help mitigate overdue actions and improve safety.
We forecast demand and staffing requirements and create customized offers or service prompts to both increase sales and keep customers returning.
We help manage complaints and incidents, forecast service demand, and plan resources. We also tailor citizen communications to encourage positive behaviour.
To enhance care, we predict which patients might miss appointments or be readmitted, and make timely reminders or follow-ups.
We predict quality issues, minimize wastes and optimize production speeds and provide the operators with a clear direction to achieve higher performance.
:- Improved revenue forecast accuracy by 35% and reduced urgent freight costs by 18%.
:- Cut plant downtime by 40% through predictive maintenance and operator prompts.
:- Reduced overdue safety actions by 32% using “next best action” lists in Power BI.
Programming & Modelling: We work with Python, R, SQL, and DAX to clean, analyze, and model data.
Platforms: We use Power BI, Azure Machine Learning, Databricks, and Azure Synapse to build, run, and share analytics solutions.
Libraries: Our models and analysis rely on scikit-learn, TensorFlow, XGBoost, Prophet, and statsmodels.
Pipelines & Integration: We move and connect data using Azure Data Factory, Power Automate, and custom APIs.
Techniques: We use regression, classification, clustering, forecasting, uplift modelling, and natural language processing (NLP) techniques to get insights and make predictions.
Our software solutions are trusted by mining, heavy industry, local government, and professional services organisations across Australia. We specialise in intelligent, integrated platforms that improve operational performance and deliver measurable outcomes.
Enterprise Power BI Platform Deployment
Two large mining companies partnered with Data Inseyets to set up Power BI dashboards across their whole business. Before, their data was all over the place, reports were done manually in Excel, and it took a long time to see what was really happening. We connected data from ERP, maintenance, and safety systems into one central system with live dashboards. This resulted in teams spending 90% less time on reporting, getting clear and consistent performance info, and making faster decisions across all sites.
Smart Digital Tools Automation
Data Inseyets created smart digital tools to help mining and heavy industry clients improve safety and efficiency. Using Excel, Power Automate, and SharePoint, we developed solutions like automated tools for safety task assignment and systems to handle contractor documents. These tools reduced manual work, made compliance more accurate, and let safety and admin teams focus on more important work instead of paperwork.
Automated Daily Review Meeting Reporting
A client in underground mining collaborated with Data Inseyets to automate their daily review meetings, which used to take more than two hours of manual data collection each morning. We created a solution using Power BI integrated with Azure Data Factory that automatically updates and displays key data from production, safety, and maintenance systems. Supervisors can now save 75% of their time in meeting preparation and gain access to faster and more accurate insights. The result is better decision-making and consistent reporting across all underground operations.
More accurate forecasts and fewer unexpected issues in operations or demand.
Clear insights that show managers what actions will make the biggest difference.
Faster, more confident decisions that are easy for anyone to understand, not just data experts.
Less manual work and redoing tasks thanks to smarter, proactive planning.
Clear return on investment (ROI) by tracking how people use the insights, complete actions, and improve key results.
No. It supports experts by handling the data work so they can focus on decisions/strategy.
We design our models with actionable insights, clear explanations and “next best actions” right within your tools, so people know what to do next.
Most clients see a working forecast or risk model within 3 to 6 weeks for one use case.
No. We provide the service, train your team, and connect everything into Power BI and the Power Platform.
We test for bias, document model details, control access through roles, and log key decisions for accountability and audit purposes.
Contact us today to discover how our BI and analytics solutions can drive smarter decisions and operational excellence.
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