• Introduction
• How Data Science works
• Benefits
• Case Studies
• Reviews
• Insights

How our Data Science Professional Services work

• Design

  01

  Our Data Scientists use our Data Science by Design methodology to help you understand how machine learning can be used to address your business needs. Our highly skilled consultants will work with your business and data experts to comprehensively define the ML problem and outline the recommended roadmap to achieve the required project goals. We make sure you have a solid plan in place with measurable goals to help you quantify and measure success.

• Build

  02

  Now that we’ve developed a plan together, we’ll implement it using our Science+Data methodology and best-in-class models with a focus on ROI. Our models are architecture agnostic and can be deployed on our infrastructure or yours. We make sure that you are informed along the way by providing you with summaries of the data exploration, feature engineering, and model effectiveness. We seamlessly integrate with your systems so you can focus on the outcomes.

• Advise

  03

  We then ensure the success of existing and future models through regular advisory meetings with you and your team. During these meetings, we review the performance of existing models, suggest updates to the models, address challenges or opportunities that have arisen, and help you plan for the next step in your data science journey. We don’t just leave to implement models, but help you learn along the way and ensure the continued success of your data science initiatives.

Let our team of data scientists, data architects & privacy experts ensure your ML project continuously delivers optimal value

• 

  Machine Learning Experts

  When you hire Calligo as your Data Science partner you get access to our whole team of data scientists. Our diverse team of experts have experience across multiple domains and ensure you get the best solutions that meet your specific needs.

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  Faster Time to Market

  We’re here because we’ve done this before. Chances are we’ve solved a problem like yours before and can leverage our past experience to deliver outcomes to you faster than if you were to hire and train a data scientist for yourself.

• 

  Cost Savings

  Data Scientists are expensive. When you work with Calligo you get the best talent for the time you need it. With our team there’s no need to incur the cost of hiring and managing your own team of data scientists.

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  Advanced Tools and Technology

  We stay on top of the latest tools, technologies, and frameworks to help keep you on the forefront of data science innovation. We’ve done this for a while and have built out advanced tools to accelerate the delivery of your outcomes. Our tools work seamlessly together to make sure you get the best out of your models.

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  Objective Perspective

  Calligo provides an unbiased perspective necessary to bring new insights to your business. We help you to break through operational biases and see problems with a fresh perspective to keep your business moving forward.

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  Additional Support

  Calligo isn’t just a firm of data scientists. We’re also data engineers, data visualization experts, data privacy experts, and cloud service experts. We can bring on the right talent to ensure your projects are successful and grow with the changing needs of your business.

View all Data Science Case Studies

• 

  Chipper Cash – Global Payment Network Fraud Detection

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  Bank of America – Credit Card Approval Models

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  Avista Predictive Repairs

• 

  H-E-B Predict Buying Trends

• 

  Microsoft Azure Growth & Adoption

• 

  Bank of Oklahoma Employee Attrition

• 

  Cymer Maximize Service Revenue

• 

  Living Spaces Customer Insights

• 

  Starbucks Staff Optimization

• 

  Juniper Networks Predict Failures

• 

  United Nations Sustainability

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  EG Business Metrics

• 

  Fletcher Jones

• 

  Experian Fraud Reduction

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  Cymer Supplier Degradation

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  Acorn Price Optimization

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  H-E-B Product Recommendation

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  Microsoft Marketing Optimization

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  T-Mobile & Sprint Merger

• 

  The skills required to perform this sort of analysis were almost as varied as the datasets themselves. The project had to be planned strategically, requiring in these early stages more business analysis capability than data science. There were then substantial amounts of expert data cleansing and re-architecture required to ensure the intended insights would be extractable. And then once the data scientists had built and painstakingly fine-tuned the custom models, the team then also distilled the mathematical outputs into comprehensible, usable outputs. From commercial strategy to data architecture and data science, Calligo’s special mix of capabilities was exactly what this project needed.

  Senior Manager of Strategic Transformation at T-Mobile

  Michael Boese

• 

  Without our own Data Science team, Calligo helped introduce Machine Learning into our day-to-day insurance quotes. Calligo have been very collaborative, and the team have had an excellent attitude. This work has been live for over a year and is driving a lot of value for our business. Calligo have helped us make a lot of progress in a key focus area for us.

  CEO Acorn Insurance

  Mike Lloyd

• 

  Insight – Glossary

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  Blog – News

• 

  Insight – News

Insights

Talk to a Calligo specialist today

• Introduction
• How It Works
• Benefits
• Case Studies
• Reviews
• FAQs
• Services
• Insights

How it works

• Define the Strategy

  01

  Our Data Scientists use our Data Science by Design methodology to help you understand how machine learning can be used to address your business needs. Our highly skilled consultants will work with your business and data experts to comprehensively define the ML problem and outline the recommended roadmap to achieve the required project goals. We make sure you have a solid plan in place with measurable goals to help you quantify and measure success.

• Build the Models

  02

  Now that we’ve developed a plan together, we’ll implement it using our Science+Data methodology and best-in-class models with a focus on ROI. Our models are architecture agnostic and can be deployed on our infrastructure or yours. We make sure that you are informed along the way by providing you with summaries of the data exploration, feature engineering, and model effectiveness. We seamlessly integrate with your systems so you can focus on the outcomes.

• Manage & Monitor

  03

  Once built, we deploy our models on our infrastructure or yours. All our models come with a comprehensive monitoring suite to ensure reliability of results and continuously monitor the data and predictions for drift. We partner with you to keep the model outputs relevant to the business with a long-term focus on ROI. If you’ve deployed on our system we manage access, availability, and accessibility of all our models. We’re not here to just develop and hand off a model. We’re here to partner with you for the long-haul and focus on long-term business success.

Your ambitions depend on better knowledge, deeper understanding and more actionable decisions.

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  Service

  We don’t just deliver a model, we work with you to grow and advise your initiatives. We continuously look to improve our models and work with you as your goals and objectives change.

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  Outcome

  We work with you to identify specific Machine Learning use cases for your business with clearly defined outcomes. Our Data Science by Design methodology prioritizes solutions that will drive the outcomes important to your business.

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  ROI

  We apply deep industry experience to de-risk the solution and innovative mathematics to increase your return on investment. We plan how to measure the return on your investment from the start and provide you with confidence in our solution.

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  Cost

  Unlike others in the market, we combine innovative technologies and human intelligence to deliver solutions that are 25-50% cheaper than off-the-shelf alternatives. Our combination of people and technology delivers you better solutions at an affordable price.

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  Risk

  85% of ML projects fail to deliver, with only 53% reaching the production phase. At Calligo, we deliver end-to-end Machine Learning solutions and manage the full delivery from prototype to production.

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  Ability

  Calligo isn’t just a firm of data scientists. We’re also data engineers, data visualization experts, data privacy experts, and cloud service experts. We can bring on the right talent to ensure your projects are successful and grow with the changing needs of your business.

• 

  Accuracy

  At Calligo accuracy is more than a number. Our model’s performance is measured across a full suite of metrics to prioritize overall accuracy, model robustness, and business impact. We retrain our models regularly to maintain performance even as conditions change.

View all Machine Learning Case Studies

• 

  Chipper Cash – Global Payment Network Fraud Detection

• 

  Bank of America – Credit Card Approval Models

• 

  Avista Predictive Repairs

• 

  H-E-B Predict Buying Trends

• 

  Microsoft Azure Growth & Adoption

• 

  Bank of Oklahoma Employee Attrition

• 

  Cymer Maximize Service Revenue

• 

  Living Spaces Customer Insights

• 

  Starbucks Staff Optimization

• 

  Juniper Networks Predict Failures

• 

  United Nations Sustainability

• 

  EG Business Metrics

• 

  Fletcher Jones

• 

  Experian Fraud Reduction

• 

  National Tire Distributor Optimize Demand

• 

  Cymer Supplier Degradation

• 

  Acorn Price Optimization

• 

  H-E-B Product Recommendation

• 

  Microsoft Marketing Optimization

• 

  T-Mobile & Sprint Merger

• 

  The reason Calligo’s machine learning predictions have been proven to be so accurate is not just down to their data science skills. It is because they have an unusual blend of technical expertise and commercial understanding. Statistically-accurate models are commonplace. But teams that can create models that are both mathematically precise and also commercially savvy are very rare, and it is what Calligo specialises in.

  Senior Manager of Strategic Transformation at T-Mobile

  Michael Boese

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  The difference working with Calligo was the team’s mindset. They looked at the problem entirely as a commercial question, not as a data science challenge applied in a business context. And it worked.”

  Microsoft

  Bo Oslen

• What is Machine Learning as a Service (MLaaS)?

  Machine Learning as a Service (MLaaS) is a cloud-based offering that provides businesses with access to machine learning algorithms, tools, and expertise without the need for significant investment in infrastructure or specialized resources. MLaaS allows organizations to leverage the power of artificial intelligence and predictive analytics to extract valuable insights from their data and make data-driven decisions.

• How can Machine Learning as a Service (MLaaS) benefit my business?

  Machine learning can benefit your business in several ways:

  • Enhanced decision-making: MLaaS helps you uncover patterns and trends in your data, enabling you to make informed and accurate decisions.
  • Automation and efficiency: By automating repetitive tasks and processes, MLaaS saves time and resources, allowing your team to focus on higher-value activities.
  • Improved customer experiences: MLaaS can help personalize customer interactions, recommend relevant products or services, and detect anomalies or fraudulent activities.
  • Competitive advantage: By harnessing the power of machine learning, you can gain a competitive edge by uncovering insights and opportunities that were previously hidden.

• Do I need to have expertise in machine learning to use MLaaS?

  No, you don’t need to have expertise in machine learning to use MLaaS. Calligo’s MLaaS offering is designed to be accessible to businesses of all sizes and levels of technical proficiency. Our team of skilled data scientists and machine learning experts will work closely with you to understand your unique requirements, develop models, and guide you through the process.

• Is my data safe and secure with MLaaS?

  At Calligo, we prioritize data security and privacy. We have robust security measures in place to protect your data, including encryption, access controls, and regular security audits. Additionally, we ensure compliance with relevant data protection regulations, giving you peace of mind that your data is handled with the utmost care.

• How can I get started with MLaaS?

  To get started with MLaaS, simply reach out to our team through the contact form or contact information provided on the MLaaS service page. We will schedule a consultation to understand your requirements, discuss the scope of your project, and provide you with a tailored solution and pricing information.

• Can I integrate MLaaS with my existing systems and applications?

  Yes, MLaaS can be seamlessly integrated with your existing systems and applications. Our team will work with you to understand your infrastructure and integration requirements, ensuring a smooth integration process.

• What industries can benefit from MLaaS?

  MLaaS can benefit businesses across various industries, including finance, healthcare, retail, manufacturing, marketing, and more. Any organization that deals with large amounts of data and wants to leverage it for insights and improved decision-making can benefit from MLaaS.

  Have more questions? Feel free to contact our team for further assistance or clarification. We’re here to help you harness the power of machine learning and unlock the full potential of your data.

Related Services

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  Blog – Machine Learning

• 

  Resource – Resource Library

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  Blog – Glossary

Insights

Talk to a Calligo specialist today