We meet our clients anywhere they are in their journey to become data-driven, providing everything from specific expertise on discrete issues to holistic transformations spanning strategy design, build, implementation, capability building, and ongoing support.
Our iterative, end-to-end approach starts with the identification of opportunities and culminates in broad adoption of new ways of working, all while ensuring that the underpinning technology and organizational model are optimized for each client’s specific needs. Many organizations fail in the execution of analytics programs because they don’t build the skills and culture needed to embed new analytics capabilities into their business processes. To ensure that our clients are successful—and will continue to thrive long after our work together is complete—we go beyond the delivery of new models to help them build the capabilities they need to sustain their analytics advantage over the long term.
HOW WE WORK
1. Identify sources of new business value
Every analytics project starts with identifying specific opportunities for analytics-driven revenue growth and performance improvements. We then develop a road map based on a broad range of potential solutions.
2. Expand the data ecosystem
We work with clients to build extensive data ecosystems. We assess the sources of data that are available both inside and outside a client’s organization, and we enable the creation of new data using affordable technologies such as the Internet of Things (IoT) and smart sensors.
3. Build models for trusted insight
Working within integrated client-service teams, our data scientists select the best models and approaches (ranging from basic forecasting to advanced machine learning) and then customize and improve them for the specific client situation, applying deep functional and industry knowledge.
4. Integrate user-friendly tools
We ensure that the tools we develop allow users at all levels to intuitively connect with data to make new discoveries. Starting with the delivery of mobile visualization techniques and robust self-service environments, we help clients create cultures of curiosity that foster innovation.
5. Manage adoption
We help clients understand how these new tools work so they can use them consistently. We collaborate up front, follow up with communication on model performance, and heavily invest in training people across the organization. By working to ensure that they have the right data-governance strategies in place, we help foster trust in the quality of the data and the resulting insights.
6. Create technologies and infrastructure
Our team of software engineers, data engineers, scientists, visualization experts, and consultants can work either within a client’s existing environment or on Nerve, our cloud-based platform. Nerve delivers capabilities and solutions in a highly secure and encrypted environment affordably and effectively.
7. Optimize organization and governance
We help clients build the IT architecture, data governance, and organizational capabilities to capture the potential of big data and advanced analytics, and we work to ensure that analytics is adopted seamlessly across the overall organization.
Source:
https://www.mckinsey.com/business-functions/mckinsey-analytics/how-we-help-clients/bringing-analytics-to-life