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Bringing AI to data with Databricks
With technological advancement evolving at a rapid pace, it's clear that the winners in every industry will be those who leverage the power of data and AI. Databricks has pioneered the lakehouse, and as a trusted partner, they enable us to help our customers implement and scale data engineering, collaborative data science, machine learning, and business analytics.
As a digitally native data consulting house, Colibri Digital shares a common goal with Databricks - to provide data solutions that address challenges and create unique opportunities for customers.
Our work speaks for itself, but our clients say it even better.
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"Using data engineering best practice and the power of associated data analytics, we're helping this client create new products while enhancing existing products to increase customer satisfaction."
Colibri partnered with a leading healthcare provider to design and implement a modern, unified data platform, transforming how they access, analyse and leverage data to drive operations and fuel business growth.
As a Databricks Data Provider Partner, Colibri has expertise in the Databricks Lakehouse Platform enabling us to reach more customers, reduce costs, and provide a best-in-class experience for all your data sharing needs.
Leveraging this platform alongside generative AI results in Databricks' Data intelligence Platform, combining the best of data warehouses and data lakes to offer an open and unified platform for data, analytics, and AI.
Colibri Digital has invested in its partnership with Databricks, highlighting a dedication to delivering the best outcomes for our customers.
Understanding that data lakes are transforming working practices and how businesses analyse and consume data, the partnership with Databricks allows Colibri to deliver rapid time insights from customer data using the unified Databricks Lakehouse Platform comprising of data engineering, analytics, and data science.
At Colibri Digital, we can help you bring AI to your data, enabling you to leverage it for growth, competitive advantage and overall business success.
Develop GenAI applications on your data while maintaining data privacy and control
Empower every person in your business to gain insights from your data using natural language
Unify your approach to data, AI and governance and benefit from efficiency and simplified complexities
Databricks' Unity Catalog brings fine-grain governance and security to the lakehouse
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"At Colibri Digital, our partnership with Databricks is essential to delivering cutting-edge, scalable data solutions that empower our clients to harness the full potential of their data. By leveraging the Databricks platform, we can integrate advanced analytics, machine learning, and big data capabilities seamlessly, enabling us to accelerate time-to-insight and drive impactful business outcomes for our customers. Databricks plays a pivotal role in our mission to provide innovative, data-driven solutions, making complex data simple and actionable."
Colibri Digital partnered with Nomo Fintech to pioneer AI-driven fintech revolution. Together, we built a serverless data lake which resulted in real-time data processing, enhanced analytics, agility for innovative projects and more.
In 2015, a top-tier consultancy partnered with Colibri Digital to grow its London-based Big Data division. Colibri supported the company’s Fortune 500 clients on key initiatives, including retail analytics, IoT-driven maintenance for semiconductor manufacturing, and power supply optimisation across Europe.
Somark, a pharma-tech company, has spent the past two years trying to deliver an Azure cloud-native application to its clients in production. Colibri was approached to perform an architecture and security review and help push the application over the line.
Regus, a leading multinational provider of white-label office space, needed a new way to track the conversion of sales leads to optimise its sales pipeline. Currently, the sales process is tracked across a multitude of in-house and third-party hosted Software as a Service (SaaS) system, making it incredibly difficult to trace an enquiry from source to conversion.
Hiscox, a leading provider and underwriter of specialist insurance services, wanted a mechanism for performing real-time price comparison and market intelligence against their competitors in the UK market.
Colibri worked with Shell, one of the world's largest oil and gas companies, to deliver an Azure advanced analytics stack for its global lubricants business. Shell was struggling to design a solution capable of processing vast quantities of dirty data from various sources.
Mana, a London-based ed-tech startup, was stepping into the next phase of its growth journey. The client's platform provides a curated directory of experts, which mainly includes tech leaders, career advisors, lifestyle gurus, and teachers. It allows users to bring content from YouTube, Instagram, Udemy, TikTok, and other platforms into a portfolio for their followers.
The client, a leading Tier 1 European investment and retail bank, was creating a new digital banking app. With its enormous client base and highly sensitive data, the app’s backend was complex and required careful planning from a DevSecOps standpoint.
Center Parcs UK and Ireland, a leading provider of family forest retreats, needed to upgrade its digital services strategy to improve online customer experiences while ensuring security and cost efficiency.
Center Parcs UK and Ireland, renowned for its family-friendly forest retreats, sought to improve the security of its AWS environment to meet stringent industry standards and ensure operational integrity.
Center Parcs UK and Ireland, known for its family-friendly forest retreats, required an upgraded identity management solution to enhance security and meet growing demands.
Spanish Power Grid provides critical energy and utilities for the nation. The variation in geography and weather across Spain meant that power generators needed to provide stable output in a wide range of conditions, creating complex operational requirements for the company. Outages were highly undesirable and penalised by the hour by the national regulator.
Ageas, one of the world’s largest insurance companies, processes an enormous number of daily requests for insurance quotes as well as underwriting approvals. Sometimes exceeding 5,000 requests per second, each of these requests needs to be screened by increasingly sophisticated algorithms to ensure validity and detect potential cases of insurance fraud.
Fendix Media, a digital media agency, prides itself on offering unrivalled digital access to the NHS, assisting trusts with direct revenue generation through the placement of targeted adverts across the NHS intranet. Over the last couple of years, Fendix Media have grown rapidly and now offers digital media products to almost every major NHS trust in the UK.
BB2, a startup financial firm based in London, had built a new digital bank on AWS using cloud-native technology, real-time streaming data feeds, and serverless components. Creativity and innovation have always been the cornerstone of BB2’s business model, and the bank is keen to reinforce this value through innovative digital and electronic banking services.
Digital Taxonomy's client base continues to grow, rapidly attracting several large blue-chip enterprise clients, each bringing their complex requirements. Colibri Digital were approached to undertake this review, and to provide advice, designs, and implement solutions to ensure Digital Taxonomy were optimally positioned for their next phase of growth.
Center Parcs continues to grow and evolve, but its Arcserve tape backup solution had become outdated. They were costly, slow to restore from, and unable to meet the demands of a growing dataset.
Jaguar Land Rover (JLR), a leading British manufacturer of luxury and sport utility vehicles, designs and develops vehicles under the Jaguar and Land Rover brands. To gain deeper insights from vehicle data and enhance both efficiency and competitiveness, JLR partnered with Colibri to design and build a tailored data platform capable of delivering actionable intelligence.
Since launching in 1994, Eurostar has transported over 150 million passengers, moving thousands beneath the Channel each day. To support its mobile booking and overbooking applications, Eurostar needed reliable hosting and support solutions.
Rail Settlement Plan Limited (RSP) delivers essential services such as ticketing, travel information, and refund processing on behalf of its member companies. The Live Sales Management (LSM) platform (hosted on AWS and managed by Colibri) supports National Rail’s Ticket on Departure service, enabling customers to purchase tickets online or via third parties and collect them at their convenience.
The NRE Modernisation (NREM) project, delivered in partnership with Train Information Services Limited (TISL), involved the redesign, build, and deployment of the AWS infrastructure supporting the latest version of the National Rail Enquiries (NRE) applications. NRE, operated by RDG, provides essential information on train times, routes, and fares for passengers across the UK rail network.
The Live Sales Management (LSM) service is a key component of the Ticket on Departure feature offered by National Rail, part of the Rail Delivery Group. It enables customers to purchase tickets online or via third parties in advance and collect them at their convenience. Managed by Colibri, LSM plays a vital role in improving both customer convenience and operational efficiency.
The Rail Delivery Group (RDG) unites Britain’s railway operators under a single organisation, aiming to deliver meaningful improvements in the customer experience. Colibri hosts several AWS-based services for RDG, but historically, each required separate credentials per user, creating both administrative complexity and security challenges.
Over the past decade, Colibri has partnered closely with the Rail Delivery Group (RDG) to deliver essential services such as ticketing, travel information, and refund processing. This latest collaboration supports RDG’s Rail Data Marketplace (RDM), with Colibri providing service management capabilities.
Colibri has built a strong, long-standing partnership with Rail Delivery Group (RDG), supporting the AWS-hosted applications and services that power its digital solutions. Most recently, Colibri deployed a new analytics platform to monitor the performance and cost-efficiency of these critical AWS services, ensuring they remain optimised, reliable, and aligned with RDG’s strategic goals.
As the industry moves towards digital, customer-first experiences, Rail Delivery Group (RDG) partnered with Colibri to modernise its legacy infrastructure and deliver cloud-ready solutions fit for the future.
The Rail Delivery Group (RDG) brings together all the UK’s passenger and freight rail companies, High Speed 2, and Network Rail to work towards a shared goal: delivering a better railway for customers across Great Britain. As part of a recent initiative, RDG aimed to help National Rail Enquiries provide passengers with more accurate, real-time train location information.
The Rail Delivery Group's (RDG) customers were facing performance issues with the National Reservation System (NRS) due to latency caused by the legacy Multiprotocol Label Switching (MPLS) network.
The Rail Delivery Group (RDG) operates a large AWS estate managed by Colibri. In the wake of the COVID-19 pandemic, reduced passenger numbers and falling ticket revenue meant cost control became a top priority. With existing Reserved Instance (RI) plans nearing expiration, RDG saw an opportunity to reassess their approach and explore AWS's newer Cost Saving Plans to ensure long-term value.
Rail Delivery Group (RDG) provides the essential services and support needed to help its members succeed, from national ticketing and reservations to information systems for passengers and staff. A key part of this is the Live Sales Management (LSM) database, which has long been hosted on AWS EC2 instances. While the system performed well, it presented limitations during failure events and required ongoing manual management.
With more than a decade of experience in data and AI, Colibri Digital is an excellent partner to have on your side when it comes to accelerating business growth through data.
The partnership with Databricks further solidifies this and ensures our customers benefit from expert architecture guidance and a greater understanding of building a best-practice data lakehouse.
Colibri Digital has over 160 engineers and 60 technical contractors on hand to support your data and AI projects, each holding disciplines in data engineering, data science, AI and hyperscaler accreditations. Colibri is proud to have 4 specialist Databricks champions, 35+ certified Databricks engineers as well of thousands of enterprise deployments under their belts.
With data lakes, it's easy for organisations to forget about governance. The Databricks' Unity Catalog brings fine-grain governance and security to the lakehouse, enabling data stewards to safely open their lakehouse for broad internal consumption. Stewards can apply attribute-based access controls to tag and apply policies to similar data objects and apply strong governance to other data assets, offering greater control and security with central management, tracking, and auditing.
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Unlock growth, efficiency and innovation through data and AI
Turning raw data into actionable, competitive insight
Modernise with purpose. Transform with data. Scale with AI
Intelligent solutions built for real-world business impact
Empowering cloud-first operations with confidence
Databricks partners with organisations such as Colibri, that have the right customer focus, innovative spirit, and integrity to grow their business and help deliver customer value using the Databricks platform.
Databricks is suitable for a wide range of industries. Its flexible, scalable platform provides tools for data analytics, machine learning, and data engineering, making it adaptable for various use cases across different sectors. Here are some examples of how Databricks can be used in different sectors:
1. Financial Services: Databricks enables financial institutions to perform real-time fraud detection, risk analysis, and customer insights by processing large volumes of transactional and historical data efficiently. Its capabilities help enhance regulatory compliance and enable predictive analytics for better investment decisions.
2. Retail and E-commerce: Retailers use Databricks for customer behavior analysis, inventory optimisation, and personalised marketing. By analysing purchase patterns and customer interactions, retailers can create targeted marketing campaigns, improve supply chain efficiency, and enhance customer experiences.
3. Energy and Utilities: Databricks allows energy companies to analyse data from smart metres, predict equipment failures, and optimise energy distribution. It supports initiatives in renewable energy forecasting, grid optimisation, and customer energy usage insights.
Good Databricks consulting partners provide end-to-end services including a consultation and assessment to understand the customer needs and develop tailored solutions. They should also provide architecture design and platform setup, ensuring seamless data integration and cloud optimisation.
Other services that Databricks partners should provide include machine learning, advanced analytics, and collaborative data science environments. A focus on security, compliance, and performance tuning, providing ongoing support, training, and managed services to ensure smooth operations is also of paramount importance. Finally, they should promote continuous innovation and improvement, helping clients stay ahead with proactive recommendations.
The Data Intelligence Platform by Databricks brings Data Lakehouse, an open, unified foundation for all your data and Generative AI, enabling organisations to democratise data and AI across the entire business. The Data Intelligence Platform is accessible, and everyone can quickly and easily discover insights. AI reduces the operational burden but at the same time provides strong governance and security.
Choosing the right Databricks partner for your project is crucial to ensure success and maximise the value of your investment. Here are some key considerations to help you make the best choice:
1. Expertise and certification: Look for a partner with a team of certified Databricks experts.
2. End-to-end service capabilities: A good Databricks partner should offer end-to-end services, from initial consultation and strategy development to implementation, training, and ongoing support.
3. Innovation and flexibility: Look for a partner that is not only technically proficient but also innovative and flexible.
4. Proven track record: Ask for case studies, client testimonials, and references to assess the partner's track record.
5. Customisation and integration capabilities: Your Databricks partner should be able to customise solutions to meet your specific requirements and integrate seamlessly with your existing systems and tools.
6. Support and training: Choose a partner that provides comprehensive training for your team and offers reliable support services to address issues as they arise.
7. Cultural fit and communication: A partner that understands your business language, shares your vision, and can work seamlessly with your internal teams will lead to a more productive partnership.
8. Data security and compliance expertise: Ensure the partner has a strong understanding of data security and compliance requirements. They should have experience in implementing security best practices and ensuring data handling meets relevant regulatory standards, such as GDPR, HIPAA, or CCPA, depending on your industry.
9. Value: A partner who provides high-quality service, expertise, and long-term value can be more beneficial than one who offers a lower initial price but lacks the necessary skills or experience.
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I specialise in helping businesses unlock scalable growth using data and AI to stay ahead of the competition.
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