Digital transformation, built on smarter, more efficient and more adaptable automation systems is changing diametrically the way we work, manufacture and interact with customers. While the technology we offer is more and more straightforward to implement, the business decisions require a greater amount of data to be taken into consideration.
Because advanced analytics is such a broad discipline with a wide applicability, there are various excellent uses across many industries. We keep working closely with our clients’ business to find the most suitable business cases. Data is a critical tool in becoming more competitive on the market. This is true in many industries: IT, manufacturing, retail, energy, finance and many more.
With data and analytics, we can help you transform your business. We have years of experience improving companies in how they work, organize, operate, manage talent and create value.
Recommendation Engine for an E-learning platform:
Organisations that provide an E-learning platform for their employees face challenges when it comes to improving the effectiveness of such a training. A solution that provides recommendations for each worker can help them create their own professional development plan to achieve their personal learning goals.We built the Recommendation Engine PoC which recommends relevant content to the users. The Engine recommends content based on two factors, semantic-analysis of content (a method of Natural Language Processing) to identify an accurate match between users and e-learning content, and user satisfaction, a predictive model that enriches the semantic model by focusing on user ratings. The Recommendation Engine was able to match candidates to appropriate training with 90% accuracy using the data and algorithms built into the PoC.
Office space management which optimises employees’ allocation:
Facility managers face the challenge of employees’ allocation keeping in mind the rising costs of leases, utilities etc. There are many factors taken into consideration when planning an office space: an amount of light, noise level, the character of teamwork, etc. Planning and analysing is thus crucial for optimising occupancy of the building. Data analytics allows you to look for patterns and map correlations to avoid unused spaces and support productivity. The same applies when it comes to effective use of lighting, heating and cooling systems in the office, as well as providing sustainable design solutions that help increase energy efficiency.
Computer Vision used to enhance quality checking on a production line:
Imagine there are capabilities to detect even very minor defects on your production line. By taking standardised photos you can find potential inclusions, label them and use trained Neutral Net to classify and discriminate them. A key feature of the solution involves using computer vision to check for broken or wrongly formed packaging (in this case bottles). As bottles make their way through the production line, pictures are taken and transferred to a dedicated computer that processes the images and runs further analysis to check if bottles are the right colour, size, width, etc. This process helps increase the capability of the production line while at the same time reduces the number of failures and increases productivity and ultimately, keeps end users satisfied.