Data Engineers are often the unsung hero of AI projects. Our experts work with different data sources to build automated data pipelines that deliver the right data at the right time to your AI application. Messy data, multiple sources, different formats… We have seen it all. Let our data engineers create the infrastructure to acquire and process the data you need.
Data Science is the foundation on which Lynx analytics was built. In fact, a majority of our employees are data scientists and many hold advanced degrees in mathematics, statistics and related disciplines. Just like data science models are the engine of many AI solutions, our data science team is at the heart of every project we undertake.
Industry experts, trusted advisors, interpreters, shepherds… Our business consultants and analysts have a deep understanding of the retail industry and provide the crucial link between your business needs and the delivery team. They are responsible for the end-to-end execution and ensure the solution not only meets your objectives but helps your business to be more successful.
Change Management is the key ingredient to ensure your project succeeds and thrives over time. So, it is not something we keep for a brief handover period at the end of a project. This is an integral part of our project management approach, something we bake into all our interactions from the very beginning to ensure buy-in from all stakeholders and widespread adoption. From process maps and transition plans to in-depth knowledge transfer, our objective is to ensure a seamless delivery and make sure you have complete ownership of the solution over the long term.
Use data pipelines to break down the barrier between different data islands and supports more timely insights.
We build ETL and data warehousing solutions customized to your needs and compatible with your existing tech stack:
And because the quantity of data and its structure can change over time, we also offer maintenance services to ensure your data pipeline continues to function as originally intended.
Make sure your data science models can be operationalized and achieve the desired deployment scale, whether they are part of a batch process or available through API calls.
We offer complete ML Ops services: