Advanced Analytics
Advanced analytics is the use of statistical models, machine learning, and predictive techniques to turn raw business data into forward-looking insight. DataQube provides advanced analytics consulting for finance, healthcare, retail, and manufacturing organizations across Canada.
Advanced analytics goes beyond descriptive reporting to answer what's likely to happen next and why. DataQube builds predictive models and analytical pipelines that identify patterns, forecast outcomes, and quantify the impact of decisions before they're made.
What's included
- Pattern and trend identification across historical data
- Predictive modeling and forecasting for demand, risk, and churn
- Process optimization analysis to reduce operating costs
- Customer behavior and preference analysis
- Exploratory data analysis to surface opportunities not visible in standard reports
- Collaborative model development with your team, not a black box handed over at the end
Frequently asked questions about advanced analytics
What is advanced analytics used for?
It's used to forecast future outcomes (demand, risk, churn), identify patterns humans would miss in large datasets, and quantify the likely impact of a business decision before it's made — typically through statistical models or machine learning.
Do we need a data science team to use advanced analytics?
No. DataQube'ss advanced analytics engagements are designed to hand off usable models and clear documentation to teams without an in-house data science function, with training included.
How is advanced analytics different from business intelligence?
Business intelligence reports on what already happened using dashboards and KPIs; advanced analytics uses statistical and machine learning models to predict what's likely to happen next. Many organizations use both together.
Related services
Talk to an analyst about advanced analytics
Tell us about your current data setup and what you're trying to achieve — we'll follow up with a scoped plan.