Elder Research has decades of cross-industry consulting experience and a proven Agile Data Science methodology to design tailored analytic approaches, develop data science models, and deploy production-grade solutions and visualization tools that seamlessly integrate into your business operations.
Our Consulting Approach
Phase 1: Problem Definition and Data Discovery
We work with you to understand your unique business problems, explore and discover patterns and opportunities in data, and recommend a roadmap specific to your goals, constraints, data sources, and systems.
Phase 2: Analytic Solution Development
We develop custom data science models and solutions, working closely with your teams to ensure they are designed with your business in mind.
Phase 3: Deployment and Change Management
We work with your teams to deploy data science models and solutions into your business operations, ensuring they are actionable, integrated, and adopted by stakeholders for lasting impact.
Our expertise and experience in the world of practical data science consulting is always growing. We have delivered hundreds of end-to-end analytic solutions starting with data strategies and data pipelines and continuing to full deployment of:
- Machine learning and predictive modeling
- Deep learning and deep neural networks
- Text mining and natural language processing
- Graph and complex network analytics
- Computer vision and image processing
- Time series forecasting
- Optimization and simulation, and more.