CRISP-DM: Data Mining Process Model Consulting and Training
Data science projects are complex and multidisciplinary; without a structured roadmap, wasted resources, delays and models that fail to align with business goals become inevitable. Grupas' CRISP-DM (Cross-Industry Standard Process for Data Mining) program brings into your organization the standard methodology that enables you to run data mining and analytics projects systematically across six main phases — Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation and Deployment. The methods, activities and decision points to be followed in each phase are clarified; project management thus becomes easier and the likelihood of a successful outcome increases.
Benefits for Your Organization
- Higher project success rates: With a structured, iterative process model, data projects become plannable, measurable and controllable.
- A common language between business and data teams: Communication between business units and data teams becomes easier and gaps in expectations shrink.
- Prevention of wasted resources: Errors are detected at an early stage, preventing unnecessary loss of time, budget and workforce.
- Business-focused analytics: The basis is business goals, success criteria and constraints — not technical curiosity; models turn into real business value.
- Higher-quality data and models: A reliable model infrastructure is built through data cleaning, transformation and the management of missing and outlier values.
- Discipline in moving to production: Taking models into the real world, monitoring, reporting and integrating them into decision support systems is assured.
- Institutional memory: Lessons learned throughout the process are documented, and a repeatable analytics capability is established.
- Industry-independent applicability: It can be used in customer segmentation, sales and marketing analytics, risk and fraud detection, operational efficiency analyses, product quality control and financial analyses.
Who Is It For?
Organizations that run — or are preparing to run — data analytics and data mining projects; data science, business intelligence, CRM, marketing, risk, finance, quality and operations teams; project managers and senior executives who want to manage their analytics projects with a standard methodology.
We are ready for enthusiastic collaborations… GRUPAS | people | process | technology
