Dealing with data – data lakes, clouds, pipelines, and platforms.
Leading enterprises of today have both business and IT teams collaborating throughout the process: ensuring all right data (internal/external, structured/unstructured) are identified, sourced, cleaned, analyzed, modeled, and decisions implemented – without losing on granularity and value as the data travels this path.
Help lay or augment the enterprise data foundation so a range of analytics solutions can be built on top.
Facilitate production grade end-to-end pipeline of data-to-value that takes data solutions from sandbox environments, and rolls them out to end users.
Data engineering enables data science solutions to reduce operational costs, discover new revenue sources, and create new products.