Ginkgo Analytics

Ginkgo Analytics works on data science for clients who want the work to continue after a single project. Its work begins with ideation and exploration workshops that help a client identify where data can change its decisions, and it then carries out the analytics projects that follow. The firm also helps clients set up the internal organization and the technology stack needed to keep working with data after a project ends.

Data science as a service, from workshops to delivery

The first stage is an ideation and exploration workshop, designed to unleash the value of the client's data and move it toward data-driven decisions. Delivery follows the agreed ideas, with the firm building the models and reporting that the client needs. Clients who want an internal team are helped to set up that organization and its technical foundations.

Ready-made products delivered with partners

The firm also provides ready-to-use products with partners. One example is a white-label solution for smart contract work that pulls the key facts out of agreements, which a partner can offer under its own brand.

Transport, logistics and travel

For transport and travel clients, the firm's listed work includes forecasts of delivery dates, the analysis of root causes behind delays, optimization of vehicle and asset use, and shift and tour planning. It also covers the forecast of asset reliability, so that maintenance can be planned before equipment fails.

Energy, utilities and production

In energy, utilities and manufacturing, the work includes real-time monitoring of production pipelines, automatic quality checks built on machine learning, identification of errors and deviations, and the optimization of machine and asset utilization. The firm lists a digital twin of production processes among its methods, and it prognoses project delivery dates and the availability and use of materials.

Pricing, customers and product decisions

On the commercial side, Ginkgo Analytics works on categorization and segmentation of customers, the analysis of customer lifetime value and recommendation systems for products and their parameters. It also provides real-time price optimization and sensitivity analysis for product features and prices, and it carries out topic trend and product portfolio analysis.

Finance, budgets and spending

For finance functions, the firm measures the EBIT effect of transformation projects, tests how sensitive results are to value and cost drivers, flags unusual spending and tracks budgets against forecasts and targets.

Human resources and talent matching

Its human resources work covers automated matching of candidates to roles, candidate profiling and segmentation, talent management and churn prediction, and the monitoring of HR processes and KPIs. The firm also lists a recommendation system for promotions and an expert network that analyzes knowledge across an organization.

Healthcare, IT security and Quantum Lab

Healthcare is one of the sectors the firm names for its AI expertise, alongside finance, transportation and travel, energy and utilities, and production and manufacturing. Its IT security work includes anomaly detection within IT security systems. A separate Quantum Lab carries out work on quantum technology.