• Introduction
• Benefits
• Reviews
• Case Studies
• Services
• Insights
• Example Dashboards
• Speak to an Expert

• 

  Service Providers

  Matching service providers with service recipients increases services rendered and reduces risk.

• 

  Value of Investments

  Increasingly accurate investment value modeling helps organizations select future investments with higher potential return.

• 

  Impact of Marketing

  Understanding the impacts of marketing efforts helps to refine and allocate future marketing efforts and maximize revenue.

• 

  Online Marketing

  Successful online marketing efforts generate increased customers, donors, and interest in the organization.

• 

  Which Donors to Pursue

  Pursuing the optimal set of donors increases revenue and minimizes marketing costs.

• 

  Pursuing New Markets

  Choosing the most advantageous new markets leads to more organizational impact, better resource utilization, and cost savings.

• 

  Fundraising Targets

  Choosing the best targets for fundraising efforts leads to higher revenues and lower costs.

• 

  Labor Allocation

  Efficient labor allocation saves labor costs and increases distribution resources.

• 

  Storage and Shipping

  Efficient storage and shipping reduces costs and ensures that product availability meets demand.

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• 

  UN

• 

  Sustainable Fisheries Partnership

Services tailored to the Non-Profit Sector

• Machine Learning as a Service

• Disaster Recovery as a Service

• Insight – News

• Blog – Glossary

• Insight – Glossary

• Insight – Data Ethics

• Resource – Resource Library

Insights

Patient Wait Times

Talk to a Calligo specialist today

• Introduction
• Benefits
• Reviews
• Case Studies
• Services
• Insights
• Example Dashboards
• Speak to an Expert

• 

  Storage and Logistics

  By predicting future product consumption, retailers can reduce the amount of over-stocking, thus reducing storage and logistics costs.

• 

  Demand Forecasting

  Predicting demand geography allows for more efficient shipping, produces higher sales, and eliminates losses from excess inventory.

• 

  Data Anonymization

  Having anonymized data allows companies to better utilize or sell the data and protects against the large expenses that could be incurred from data loss.

• 

  Customer Segmentation

  Grouping customers allows for more effective marketing, a more profitable product selection, lower risks, and better understanding of where expansion should occur.

• 

  Sales Trends

  Understanding sales trends over time can lead to better decisions around inventory, products, expansion, or store closures, all of which increase revenue or reduce costs.

• 

  New Product Release

  Understanding demand for a new product leads to more product choices, higher sales, and better store inventories that meet customer demand.

• 

  Price Optimisation

  Identifying the optimal price for products maximises profit by achieving either higher sales or by higher margins. Price optimisation also reduces unsold inventory.

• 

  Store Location Optimisation

  Having ideal retail locations drives revenue and limits losses from underperforming locations.

• 

  Shelf-Space Optimisation

  Optimising shelf-space allows for higher store-wide revenue and product-specific revenue.

• 

  Product Lifecycle

  Knowing the lifecycle of a product allows retailers to optimise shelf space and appropriately stock a product as demand increases and decreases.

• Senior Manager of Strategic Transformation at T-Mobile

  Senior Manager of Strategic Transformation at T-Mobile

  

  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.

  Michael Boese

• Senior Manager, Data Services at Sunrun

  Senior Manager, Data Services at Sunrun

  

  Calligo did a great job of helping Sunrun understand the art of the possible. Calligo came into our business and really taught us best practices in terms of Tableau application and what good looks like.

  Steve Maier

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• 

  Starbucks

• 

  T-Mobile

• 

  HEB Stores

• 

  Fletcher Jones

• 

  A US National Tire Distributor

Services tailored to Retail

• Machine Learning as a Service

• Data Visualization as a Service

• Insight – News

• Blog – Glossary

• Insight – Glossary

• Resource – Resource Library

• Insight – Machine Learning

• Insight – Glossary

Insights

Talk to a Calligo specialist today

• Introduction
• Benefits
• Reviews
• Case Studies
• Services
• Insights
• Example Dashboards
• Speak to an Expert

• 

  Predictive Analytics for Market Trends

  Employ machine learning to analyze market trends, economic indicators, and other external factors to make informed decisions about property investments, development, and portfolio management in the commercial real estate sector.

• 

  Predictive Property Maintenance

  Utilize data analytics and machine learning to predict equipment failures and maintenance needs in commercial properties, optimizing operational efficiency and reducing downtime.

• 

  Energy Management

  Implement machine learning models to analyze energy consumption patterns, identify inefficiencies, and recommend strategies for optimizing energy usage, thereby reducing costs and environmental impact.

• 

  Occupancy Forecasting

  Employ data analytics to predict occupancy trends, enabling more accurate planning for space utilization and facilitating proactive decision-making in property management.

• 

  Risk Assessment and Fraud Detection

  Utilize machine learning algorithms to assess and predict potential risks in lease agreements, identify fraudulent activities, and enhance security measures to protect commercial properties.

• 

  Tenant Satisfaction and Retention

  Leverage data analytics to gather insights on tenant preferences, satisfaction levels, and potential issues, enabling property managers to proactively address concerns and enhance tenant retention.

• 

  Lease Price Optimization:

  Implement machine learning models to analyze market trends, property demand, and other relevant factors to optimize lease pricing strategies, ensuring competitive and profitable rates.

• 

  Space Utilization Optimization

  Use data analytics to analyze space usage patterns, identify underutilized areas, and recommend adjustments to maximize the efficient use of commercial spaces.

• Senior Manager of Strategic Transformation at T-Mobile

  Senior Manager of Strategic Transformation at T-Mobile

  

  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.

  Michael Boese

• Senior Manager, Data Services at Sunrun

  Senior Manager, Data Services at Sunrun

  

  Calligo did a great job of helping Sunrun understand the art of the possible. Calligo came into our business and really taught us best practices in terms of Tableau application and what good looks like.

  Steve Maier

• Senior Manager of Strategic Transformation at T-Mobile

  Senior Manager of Strategic Transformation at T-Mobile

  

  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.

  Michael Boese

• Senior Manager of Strategic Transformation at T-Mobile

  Senior Manager of Strategic Transformation at T-Mobile

  

  Data science projects often slip up by not sufficiently considering the end user, and how the output is intended to be used in practice. If humans are expected to make decisions based on the model’s calculations, then the data needs to be presented contextually, interactively and attractively. Calligo’s dashboards and visualizations allowed our teams – most of whom had no analytical experience – to interact with some of the most advanced data science they would perhaps ever come across, and make strategic decisions simply and confidently. The importance of this skillset cannot be underestimated.

  Michael Boese

SPEAK TO AN EXPERT

Services tailored to Healthcare

• Machine Learning as a Service

• Data Visualization as a Service

• Insight – News

• Blog – Glossary

• Insight – Glossary

• Resource – Resource Library

• Insight – Machine Learning

• Insight – Glossary

Insights

Patient Wait Times

Patient Wait Times

Talk to a Calligo specialist today

• Introduction
• Why Choose CloudCore?
• Benefits
• Case Studies
• Reviews
• Insights

• Introduction
• Benefits
• Case Studies
• Services
• Insights
• Speak to an Expert

• 

  Optimise Mileage

  Minimising delivery mileage reduces fuel, maintenance, and labour costs.

• 

  Opportunistic Loading

  Reducing ‘deadhead’ loads significantly decreases cost per mile.

• 

  Demand Forecasting

  Predicting demand geography allows for more efficient shipping, produces higher sales, and eliminates losses from excess inventory.

• 

  Economic Shock

  Anticipating the ramifications of supply or demand shocks reduces the risk of decreased yield, supply loss, idle labor costs, and optimizes labor allocation.

• 

  Supplier Degradation

  Detecting changes in supplier and commodity costs allows for early risk mitigation and more precise forecasts.

• 

  Tariff Impacts

  Preparing for tariffs and/or geopolitical events results in reduced losses.

• 

  Currency and Interest Rate Fluctuations

  Predicting currency and interest rate fluctuations and associated risks reduces costs, and enables hedging and mitigation strategies.

• 

  Inventory Optimisation

  In competitive markets, maintaining a competitive advantage in purchasing and production leads to higher revenues. Conversely, losing supplies to competitors leads to reduced production capacity.

• 

  Delivery Optimisation

  Efficient labour allocation reduces labour movement costs, idle labour costs, and ensures successful product delivery.

• 

  Optimise Product Storage

  Optimising storage leads to better inventory control, more available products, and less labour required to move products.

• 

  Supply Chain Complexity

  Determining the sensitivity of disruptions to complexity allows for better planning around potential risks.

• 

  Red Classic – Optimized Logistics Operations

• 

  Wheels Up

• 

  National Tire Distributor Optimize Demand

Services tailored to the Telecom sector

• Machine Learning as a Service

• Data Visualization as a Service

• Insight – News

• Blog – Glossary

• Insight – Glossary

• Resource – Resource Library

• Insight – Glossary

Insights

Talk to a Calligo specialist today

• Introduction
• Benefits
• Reviews
• Case Studies
• Services
• Insights
• Speak to an Expert

• 

  Service Interruption Detection

  Eliminating and quickly responding to network problems maintains revenue, helps customer retention, and increases customer satisfaction.

• 

  Customer Segmentation

  Creating customer groups makes marketing more targeted and effective. This can lead to more profitable product selection which informs where product expansion should occur.

• 

  Optimize Call Centre Staff

  Optimizing staff scheduling reduces labour costs and increases customer satisfaction.

• 

  Market Penetration

  Understanding market penetration helps organisations identify high-potential markets that represent the best return on investment.

• 

  Store Location Optimisation

  Choosing the best locations for new stores maximises revenue potential and saves building costs.

• Senior Manager of Strategic Transformation at T-Mobile

  Senior Manager of Strategic Transformation at T-Mobile

  

  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.

  Michael Boese

• Senior Manager of Strategic Transformation at T-Mobile

  Senior Manager of Strategic Transformation at T-Mobile

  

  Data science projects often slip up by not sufficiently considering the end user, and how the output is intended to be used in practice. If humans are expected to make decisions based on the model’s calculations, then the data needs to be presented contextually, interactively and attractively. Calligo’s dashboards and visualizations allowed our teams – most of whom had no analytical experience – to interact with some of the most advanced data science they would perhaps ever come across, and make strategic decisions simply and confidently. The importance of this skillset cannot be underestimated.

  Michael Boese

SPEAK TO AN EXPERT

Services tailored to the Telecom sector

• Machine Learning as a Service

• Data Visualization as a Service

• Insight – News

• Blog – Glossary

• Insight – Glossary

• Insight – Data Ethics

• Resource – Resource Library

Insights

Talk to a Calligo specialist today

• Introduction
• Benefits
• Case Studies
• Services
• Insights
• Speak to an Expert

• 

  Procurement Optimisation

  Efficient procurement ensures that supplies are available to meet demand and reduces costs from inventory or lost sales.

• 

  Manufacturing Economic Shock Analysis

  Navigating uncertainty reduces risk of decreased yield, supply loss, idle labour costs, and optimises labor allocation.

• 

  Demand Forecasting

  Accurate demand forecasting reduces inventory cost, increases revenue (by lowering lost sales), and leads to higher customer satisfaction.

• 

  Supply and Demand Optimisation

  Profitability increases by meeting demand while increasing revenue and reducing inventory costs.

• 

  Supplier Degradation

  Cost reduction is achieved by choosing higher quality parts and negotiating better deals with suppliers and/or informs engineering efforts to produce better supplies.

• 

  Predictive Maintenance

  Knowing when to fix machines helps manufacturers reduce machine down-time, achieve yield targets, and lower labour costs.

• 

  Inventory Optimisation

  Optimising inventory reduces storage costs and lost sales, lowers input costs, and increases efficiency.

• 

  Product Servicing Optimisation

  Optimising services reduces product down-time, increases profit from warranty contracts, decreases labour cost, and increases customer satisfaction.

• 

  Logistics Optimisation

  More efficient logistics leads to cost savings, higher production, quick product delivery, and more satisfied customers.

• 

  Product Quality

  Higher product quality leads to lower repair cost, fewer supplies, more efficient labour allocation, and more satisfied customers.

• 

  A US National Tire Distributor

• 

  Cymer

• 

  Holcim

Services tailored to the financial sector

• Machine Learning as a Service

• Data Visualization as a Service

• Insight – News

• Blog – Glossary

• Insight – Glossary

• Insight – Data Ethics

• Resource – Resource Library

Insights

Talk to a Calligo specialist today

• Introduction
• Benefits
• Reviews
• Case Studies
• Services
• Insights
• Speak to an Expert

• 

  Targeted Marketing

  Targeted marketing reduces marketing costs, increases revenue, and delivers new low-risk customers.

• 

  Data Anonymisation

  Anonymising company data positions to utilise or sell their customer data while protecting against large expenses incurred from data loss.

• 

  Fraud Detection

  Fraud detection reduces losses from fraudulent transactions and loan applications.

• 

  Automated Data Extraction

  Automated data entry reduces labour costs and limits errors from human data entry.

• 

  Customer Segmentation

  Grouping customers allows for more effective marketing, a more profitable product selection, lower risks, and better understanding of where expansion should occur.

• 

  Risk-Assessment and Underwriting

  Accurately predicting risk reduces the likelihood of financial loss and enables more reliable revenue streams.

• 

  Return on Investments

  Capturing the best return from a marketing effort yields immediate revenue gains, but it also informs business strategy and focuses future marketing efforts.

• 

  Product Recommendations

  Product recommendations generate additional revenue from an existing customer base.

• 

  Microsoft

  Microsoft

  

  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.”

  Bo Oslen

• Sustainable Fisheries Partnership

  Sustainable Fisheries Partnership

  

  Our Solve My Bycatch Problem tool is a resource for fisheries stakeholders to understand how to reduce risk to vulnerable ocean wildlife. But it’s only really valuable if people use it. The eye-catching design and easy user interface that Calligo created will help ensure that the right people get the information they need.

  Kathryn Novak

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• 

  Bank of America – Credit Card Approval Models

• 

  Chipper Cash

• 

  EG Business Metrics

Services tailored to the financial sector

• Machine Learning as a Service

• Data Protection Officer as a Service

• Data Visualization as a Service

• Insight – News

• Blog – Glossary

• Insight – Glossary

• Insight – Data Ethics

• Resource – Resource Library

Insights

Talk to a Calligo specialist today

• Introduction
• Benefits
• Reviews
• Case Studies
• Services
• Insights
• Example Dashboards
• Speak to an Expert

• 

  Improve Screening Frequency

  Improving ER admittance improves the STAR rating and increases revenue in shared-cost models.

• 

  De-Identification of Data

  De-Identifying data provides additional value to the data that you already have by allowing additional uses that drive revenue.

• 

  Improve STAR Rating

  Improved STAR ratings mean improved quality, lower costs, and improved patient satisfaction, which ultimately leads to increased bonus payments for providers.

• 

  Health Crisis

  Being prepared for a health crisis ensures the safety of workers and reduces long term financial risk.

• 

  Optimise Staff Scheduling

  Optimising staff scheduling ensures that patient needs are met without the costs of over-staffing.

• 

  Optimise Surgical Costs

  Better understanding admittance ratios and their drivers leads to lower costs and increased revenue from surgical procedures.

• 

  Medical Supply Logistics

  Better understanding supply chain logistics allows for cost savings and reduces risk of inadequate supplies that could put patients’ lives at risk.

• 

  Patient Insights

  Understanding patient insights and improving patient satisfaction leads to higher Medicare STAR ratings.

• 

  Reduce Patient Wait Time

  Reducing patient wait time increases revenue because services are administered more efficiently. This increases patient satisfaction and retention.

• 

  Reduce Readmission Rates

  Reduced readmission rates drive revenue in shared-cost models and improve STAR ratings.

• 

  Improve ER Admittance

  Improving ER admittance improves the STAR rating and increases revenue in shared-cost models.

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Services tailored to Healthcare

• Managed Cloud Services

• Data Analytics

• Data Protection Officer (DPO) as a Service

• Machine Learning as a Service

• Insight – News

• Blog – Glossary

• Insight – Glossary

• Insight – Data Ethics

• Resource – Resource Library

Insights

Patient Wait Times

Medical Clinic Performance

Pharma Physician Engagement

Healthcare usage & reporting

Talk to a Calligo specialist today