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Augment your team and accelerate your Data Science Projects

We provide the right team and expertise
in Data Science.

Find out more below about our customers, approach and use cases.

 

Let’s talk about your challenges

 

International References (003)

“Closer are one of my favourite Data Science consultancies. They are super-bright. They listen. And they deliver.
In an industry that is so full of hype, Closer consultants are straightforward and down-to earth.”

Harry Powell - Director of Data & Analytics

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About Closer

Founded in 2006 with the mission To Challenge Complexity, Closer is a Data Science company specialized in Advanced Analytics, Business Intelligence and Artificial Intelligence.

We use the most sophisticated technologies, techniques and methods to translate our customers’ business needs into technological solutions that overcome their challenges.

+15 Years working with Data Science, Advanced Analytics, Business Intelligence and Artificial

+15 Years working with Data Science, Advanced Analytics, Business Intelligence and Artificial Intelligence

+200 data projects implemented worldwide in diverse industries

+300 data projects implemented worldwide in diverse industries

Experience working as remote team in nearshoring environment

+350 highly-qualified experts seasoned in working as an extended team

 

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Why work with us?

As your company succeeds, it is crucial to find the right partner to help you manage your projects. The collaboration with Closer can be defined as an Extended Team. Closer will allocate the resources selected from our team of +350 qualified experts to work jointly with you, developing your IT & data-related projects.

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Benefit from technological capability and experience with hundreds of projects implemented worldwide.
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Access a wide pool of tech talent with different skills and expertise.
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Work with a flexible team of qualified professionals without the need to hire FTE resources.
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Manage data science projects ensuring timely and error-free execution.
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Improve management capacity with competitive costs and eliminate operational risk.
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Benefit from deep knowledge in cross-sector industries.

Use Cases

Vehicle Stock Optimization

AUTOMOTIVE

Vehicle Stock Optimization

We developed a data asset that comprised all the necessary information to enable the development of insightful dashboards, mathematical optimisations, and deep learning model training. We also implemented local surrogate models so the client (a multinational automotive manufacturer) could understand the important features driving the sales of each vehicle.

 

Results

  • Improved vehicle stock levels;
  • Implemented best practices in data engineering and data science in Analytics Center of Excellence.

BANKING

Profitability Leakage

Commissions play a central role in bank revenues but, at the same time, they inhabit a particularly complex ecosystem. With a large diversity of products, several commission typologies, manual intervention (reversion included), and great latitude of client accounts to negotiate its value (to name a few). As a rule of thumb, these discretionary actions result in lost revenue and have a huge impact on banks’ profitability.
The use of Data Science techniques like anomaly detection is being used to identify where the profitability leakage is occurring as well as how it can be mitigated.

 

Results

  • Positive identification of leakage (1,1% of CRD portfolio);
  • Over 90 000 contracts analyzed; 
  • Improved commission/pricing review process;
  • New insights to contract (re)negotiations.
Profitability Leakage
Competitive Analysis

INSURANCE

Competitive Analysis

We created models that predicted competitors’ pricing and allowed for the identification of specific market segments that needed to be changed. An intelligent and data-based tariff change is vital to counter uncompetitive and/or unprofitable products.

 

Results

  • Cross-referenced information with conversion rates to identify bottlenecks;
  • Enabled a tariff change in some segments;
  • Raised overall profit by 500k.