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Target:

This project is intended to investigate how Artificial Intelligence combined with automation could help us utilize data to drive sales

Background:

A global leader like Atlas Copco sits on enormous amounts of data – from production, installed machines, sales meetings, customer interactions, web and email behavior, logistics, service and much more. This is a potential gold mine, if you know what to do with it. Per definition, data is just raw material. What brings value is the ability to analyze it. If traditional B2B companies don’t step up they will soon be overrun by analytics giants like Google and Amazon, who are eager to move into new segments. Data is surely the new currency – and if you own the data, you own the market. And the most precious data of all is customer preferences and behavior. At Atlas Copco Industrial Technique we are taking the next steps of our digital transformation journey and would like to investigate further how to make our data make an impact for our business by delivering the best digital customer experience to our customers.

Mission:

Your mission in this project will be to identify potential use cases that matter to our business, deliver the project plan, including IT needs, data points, KPI and activation strategy. Prioritize the use cases and present your recommendation to our business teams so we can select a pilot. This project will be considered a success when a pilot case will be selected by our business units and sponsored for implementation

So what is a suitable pilot case? It should be big enough to have sales impact, and small enough to allow failure. It must be possible to scale into our normal operations after completion. Ideally it involves people that normally don’t work together, like IT, sales and marketing. It should generate learnings and stories we can use moving forward. And most importantly, it should creative genuine value for your customers.

Relevant educational backgrounds:

  • IT/Computer science
  • Business and Administration
  • Digital Marketing and sales development

Level of thesis project:

  • Master thesis

Qualification:

  • Business Intelligence
  • Self-driven
  • Good interpersonal skills
  • Good at presenting
  • Digitally savvy
  • Outside the box thinker
  • Data visualisation geek, data lover

Additional information:

Our office is located in Sickla, Stockholm. Selection will be ongoing so if you are interested in the position, don't hesitate to apply!

As this is a project position for studies and not an employment, it does not qualify for seeking a work permit. We can therefore only accept applications from students who are either attending Swedish universities (i.e. already have a student visa) or, if they are attending universities abroad, are EU-citizens.

Company presentation:

Great ideas accelerate innovation. At Atlas Copco Industrial Technique we team up with our customers to turn industrial ideas into smart manufacturing assembly solutions and innovative industrial tools. Our passionate people, expertise and service bring sustainable value to industries everywhere.

We add value wherever we do business

The Atlas Copco Group serves customers through innovative compressors, vacuum solutions, generators, pumps, power tools and assembly systems. We are a global and diverse Group of many strong brands and around 34 000 employees representing different cultures in more than 180 countries. We have a wide range of positions so whatever your interests or area of expertise, we offer interesting challenges and the opportunity to grow.

Passionate people create exceptional things. We believe in challenging the status quo, always looking for a better way. Our leading edge technology enables us to innovate for a sustainable future. We believe that people make it happen and with us you are empowered to act. Your ideas can make a real difference and contribute to the quality of life for people everywhere.

Learn more at www.atlascopcogroup.com

Master Thesis - How AI combined with automation could help us utilize data to drive sales

Ort
Utgår

2019-11-30

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