We develop and implement robust data science-driven solutions that generate value and enable competitive advantage.

• We deliver data science-driven solutions for business value
• We are talented data scientists with MScs & PhDs in various quantitative sciences and AI
• We are frontrunners in machine learning, deep learning, natural language processing and computer vision while leveraging cloud computing
• We deliver business value through our ability to implement Data Science solutions into operations
• We are recognised for our partnerships with leading vendors

Through our understanding of your needs, we are able to identify opportunities and translate these to value-driven data science solutions. We deliver both predictive and cognitive use solutions that are developed from design to production and embedded in your organisation.

• Asset health insights – We leverage our expertise in data-driven asset management by focusing on a solid foundation of (un)structured data and prototyping AI & ML-driven solutions
• Smart credit scoring – We develop explainable ML models that augment financial credit scoring processes to increase the speed and quality of credit assessments, whilst taking relevant risk exposure into account
• ML OPS – We develop, deploy, monitor, and manage Machine Learning models in a production environment (e.g. MS Azure), accelerated by our off-the-shelf ML pipeline blueprints
• Intelligent case management – We improve document-driven processes using classification and interpretation of documents to automate processing and augment decision making
• Digital customer support – We create digital customer journeys leveraging Conversational AI (comprising chatbots, email automation, call analytics, call summarisation and more) to improve the customer experience in both online and offline interactions
• Computer vision – We develop value-driven computer vision applications to identify relevant situations, automate processes or create visual user experiences
• Insight engines – We create insight engines that leverage both internal and external data to create business- and domain-specific insights and actionable triggers to monitor, assess and act upon operations
• Data science capability – We support, manage and drive the setup of a Data Science capability that enables business value creation and fits the business operating model. At Valcon, we ensure focus on fast-value delivery, high-quality solutions and full embedding in the operational process and organisation

We work with the biggest cloud technologies (Azure, AWS and GCP) to deliver business insights leading to cost reduction and operational excellence. We achieve this by implementing modern data platforms and intuitive front-end solutions.

• We have a highly skilled team focusing on getting you from data to business insights
• We are experts in data engineering, self-service BI and visualisations
• We are talented data professionals, with backgrounds in economics and information
• We provide end-to-end delivery – from design to implementation
• We are a certified Microsoft Gold Partner with Advanced Specialisations in Azure

We deliver meaningful information at the right time, in the right format. When we leave, the business insight stays.

We provide the foundation to become a data-driven organisation in which data is managed as an asset. This can unlock a huge number of business use cases benefitting from improved quality of data.

• We deliver data craftsmanship for a data-driven foundation
• We are a cross-functional team with highly skilled and experienced consultants and architects
• We provide end-to-end delivery – from vision to implementation, knowledge transfer and support
• We acknowledge that it takes a combined view of processes, technology and people/behaviour (change management) to realise the full value of data as an asset
• We are recognised by Gartner as leading MDM practice, and have partnerships with leading vendors

Our focus is to help you become data-driven and adaptive to future changes in your business model.

• Data governance is the “X-Factor” that underpins and multiplies the success of all data-related activity in an organisation. It addresses the changes in people, processes, organisational and technology required to treat and optimise Data as an asset. Our data governance proposition includes strategic advice, tactical guidance along the journey, and operational and technical implementation
• The master data management proposition is about managing, governing and usage of multi-domain master data, combined with metadata and reference data. This includes creating a single repository for all product master data as the source for all channels and integrating customer data from across the organisation to provide a 360-degree view, plus ensuring compliance with legislation. Our master data management proposition includes support for creating the Vision & Roadmap and executing the full implementation while embedding the changes within the organisation and delivering application support for the operational situation
• The data architecture proposition is about the definition, implementation and management of the data architecture of your organisation to improve the data maturity level. This is done by enabling a consistent, integrated and managed data platform from integration up to data governance, covering all data domains and data management components mentioned above
• The data integration and virtualisation proposition is about premiss implementations of batch ETL solutions. Providing real-time interfacing between applications (often API-based), real-time service-based data integration solutions and event-driven solutions, for instance using Kafka. Data virtualisation produces a data abstraction layer by gathering, connecting, and altering data silos to support real-time insights. Data fabric assessments and solutions help organisations manage and obtain insights from massive amounts of data. This data is often in different geo-locations, arrives in different data types, and is maintained on different databases
• The data migration proposition is about the handling (selection, preparation, extraction, transformation and permanent movement) and delivery of appropriate data of the right quality to the right place at the right time. Customer incentives for doing a data migration could be new IT systems, new products, outsourcing, business mergers or a company takeover. We see data migration as a business challenge, not a technical issue. Our data migration proposition uses a proven methodology based on 14 key deliverables