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Wholesale and retail

Data-empowered digital commerce

To stand out in the global competition, wholesale and retail companies need to tap into process and customer data and think about the value they can extract from analytics. 

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Manufacturing industries

Customer-centric, data-led manufacturing

For manufacturers, true digital transformation starts by envisioning where in the value chain can data be applied to make a difference.

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Public Sector

Accessible and intuitive public services

All public sector services should be designed to serve citizens first. Digital solutions and applications must be easy to use, despite physical and cognitive disabilities.

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Energy and utilities

Dynamic and resilient energy economy

Digital processes and data-led services help energy and utility sector companies develop a stable energy offering with transparent, customer-centric services.

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Digital platform economy

Fast-tracking innovative business models

Shared platforms offer fast entry to new markets, cost-efficiently and scalably. But lasting value add comes from cross-industry collaboration and linking products with complimentary services.

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Banking, finance and insurance

Agile business, customer-centric services

Digitally disrupted, the companies in the banking, finance and insurance sector must actively innovate new approaches to build omnichannel customer experiences that fully utilize data.

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Medical devices manufacturers

User-centric healthcare applications

While medical device software is strictly regulated, there's room for innovations that make life easier for patients and caregivers. Stable and secure data flow is a must.

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Case Lantmännen Feed: Utilizing milking robot data to help farmers and cows with Lantmännen Feed

INTRO

Lantmännen Feed wanted to utilize the milking robot data which they have been collecting from 200 farms over 3 years to understand the lactation patterns of the cows using advanced analytics techniques like machine learning. We created a solution which enables farmers to optimize feeding plans for the cows, thereby improving their health by preventing overfeeding or underfeeding, which in turn results in an increase in milk yield.

Data-driven farming

Lantmännen Feed (formerly Raisioagro) has been making feed mixes since 1948. 90 % of farm feeds are delivered in bulk form directly from the production plants in Kouvola and Ylivieska to livestock producers such as dairy farmers. On dairy farms, cows carry a tag with an ID chip around their neck. In loose-house barns the cows can walk through a milking robot when they want to be milked. The robot milks the cow, and tests the raw milk for various qualities.

We helped the customer with:

  • Data manipulation and analysis

  • Quick hypothesis testing

  • Model refinement and web service deployment

  • Data visualization

  • Construction and service of a self-service portal website

solution

Utilizing milking robot data to help farmers and cows

We also developed an alert system that helps farmers utilize their limited time more wisely by focusing their caretaker efforts on the cows displaying unusual behavior. We built predictive models that understand the milk production patterns of the cows and found practical ways to utilize these models to achieve better outcomes.



What we did:

  • Data manipulation and analysis

  • Quick hypothesis testing

  • Model refinement and web service deployment

  • Data visualization

  • Construction and service of a self-service portal website

Technologies

  • SQL Server Management Studio

  • Python with scientific libraries

  • SAP Predictive Analytics

  • Microsoft Azure Machine Learning

  • Tableau

  • PHP, HTML, CSS, JS

  • NGIX

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