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There is great value in data, but it’s often challenging to unlock. Download our free white paper to learn more about the five pillars to data success, and for tips to navigate a data future with greater confidence.
Effectively manage your data assets by delivering and operating data platforms.
Transform the value you derive from your data through predictive and prescriptive analysis. Proven machine learning solutions for business.
Manage the provision of data and insights to support decision making at every level of the business.
Data foundations are fundamental to your strategy. They provide a springboard from which to unlock the value in your data. We have an enviable track record of delivering and managing Cloud Native Enterprise Data Platforms for organisations navigating their data journey. Through the application of Agile principles and a DataOps culture, we iteratively deliver high-quality data platforms, helping you to rapidly achieve a solid foundation and tangible value.
We have substantial experience in implementing cloud native data services from Azure and AWS. This automation-first data engineering approach uses serverless technologies to reduce development and operations costs.
Implement modern BI tooling such as PowerBI, Tableu and Qlik. We apply user experience and design thinking to ensure the data’s end user remains at the core of the solution.
Adopt DataOps and MLOps within your existing data capability. In addition to offering a DataOps maturity assessment, we also work collaboratively to deliver data platform components and data ingest, embedding culture and ways of working with your in-house teams.
Working collaboratively with you to build your own data and analytics capability. We’ll help you as you develop your team, hire new capabilities, train existing capabilities, and work with you to deliver real solutions.
Transform the value you derive from your data through predictive and prescriptive analytics. We have a strong track record of delivering machine learning solutions for business into production at some of the world’s largest organisations. We work closely with you to define, and realise, your analytics strategy, putting data at the core of your decision-making process.
Use a combination of machine learning and statistics to forecast future outcomes. We identify key variables which impact your business levers and factor them into the model. For example, estimate the call volumes that your call centre is likely to achieve, allowing you to schedule optimally.
Optimise your business processes and levers using data driven insights. From resolving scheduling issues to offering the right price for your product. We use advanced computational techniques to achieve the balance between business constraints and data insights.
Use optimisation, forecasting and other machine learning techniques to make your customer journeys as engaging as possible.
We have expertise in image analysis, object detection, static and video. With experience of cloud vendor solutions, we’ll help you embed inference at the edge including expert knowledge of Azure Stack Edge.
Our search and data science experts can help introduce natural language processing, generation, document classification and extraction to your business, solving the most complex natural language challenges.
Deliver conversational interfaces using text and voice. Using our Chatbot Accelerator and cloud native services, we can deliver a chatbot for your business in weeks.
Discover how machine learning can be used to open new opportunities and address existing challenges. We’ll help you to understand the algorithm, architecture and business change required to develop and productionise a data science solution.
Demonstrate the value of analytics to your business. We’ll set up a workshop to identify the potential opportunities for advanced analytics. We’ll start experimenting to evidence how value can be achieved too.
Put the power of your data into the hands of your business. Data isn’t just a technology challenge: achieving value requires data to be provided throughout the business, as a service. We are experienced at guiding clients through this journey, advising how to embed data in your business, while putting users at the centre of the data strategy by applying Design Thinking.
Helping you to manage your data effectively so that you meet regulatory requirements, ensure user-privacy and maximise the value of your data.
Identify your key challenges by undertaking a Noviya Systems Maturity Assessment of your ‘as-is’ data practice. We’ll then define your desired future state Operating Model and ways of working.
Whether short-term or long-term, we can help develop a data strategy that is aligned to the needs of your business.
Design a compelling data service for your business. By combining data architecture, engineering and data science with design thinking, we can deliver detailed end-to-end, front-to-back service blueprints.
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