Establishing a search engine to aggregate and facilitate access to product data for R&D activities, resulting in faster search times and decreased research costs

Problem

• Limited search abilities of very large product catalogue, no employee has a global view of this catalogue

Solution

• Build up of a user-friendly search engine, which allows for seamlessly going through the formulas’ database and quickly identifying components that are needed

Impact

• Ability to quickly search through the past data and apply the learnings to the new offerings
• Time saving and productivity increase

Problem

• Wildfires can pose threats to ecosystems throughout the world, but in South America, the effects of deforestation can be particularly severe.
  organizations like WWF Bolivia and FAN constantly seek to improve their threat-modelling capabilities.

Solution

• Unit8 joined forces with WWF and Bolivian FAN NGO to leverage technology to help predict the spread of wildfires
  Our key objective was to identify and implement technological solutions that could supplement the existing work of WWF and FAN in the detection, modeling, and elimination of wildfire threats.

Impact

• The goal of the collaboration is to obtain faster reaction times to help authorities decide which zones and communities should be evacuated, and when.

Problem

• Our client, a global automotive company, lacked a central data platform for forecast generation and analysis. As a result, its teams could not collaborate or analyze data efficiently.

Solution

• a modern data platform with long-term scalability was scoped, designed and implemented together with the initial first Proof of Concepts

Impact

The new platform enables the customer to:

• Develop and operate forecasting models quickly and consistently
• Collaborate on and reuse models, preventing redundant code development

Problem

• Siloed data spread across multiple systems
• Inability to properly analyse manufacturing/test/sales data on a common platform

Solution

• New data infrastructure architecture and buildup

Impact

• Enterprise data lake. Governed, and secured
• Foundation for the analytical use cases

Problem

• Enrichment of the internal data with the publicly available external data
• Automation of the process and integration in the internal workflows

Solution

• Cloud web scraping – Automated mechanism to collect/integrate and use the external data

Impact

• Automated, best-in-industry data assets (internal and external) that maximize the quality of its data analysis and AI model