Become a data-driven organisation with DataOps
by Veronika Schipper, on Nov 27, 2018 2:28:49 PM
DataOps is one of the rising big data analytic trends in 2019, and it grows in importance. Data are becoming more complex, and organisations are looking for new ways to align their data with their processes and people. To be able to handle substantial data sources in their data warehouses there is a need for better tools and integrations demanded by the digital economy.
Companies willing to become customer-centric and data-driven begin to optimise their decisions using all their data and predictive insights. Their employees have access to all the data to enable them to make better and smarter decisions. These insights can be used for optimisation of marketing and e-commerce management such as personalisation, omnichannel, loyalty, ROI management and predictive marketing like next best actions and offers.
DataOps is a methodology that helps organisations combine access to information for the employees that consume data and those that provide them. DataOps is founded on the concepts of Agile Development, DevOps and Lean Manufacturing following the DataOps Manifesto. With DataOps you decide which data and insights have the highest priority and should be developed first.
Crystalloids can provide your organisation with an agile DataOps team to deliver the best results faster and with more flexibility. In that way you do not have to waste time and energy on recruiting and training your data professionals. You immediately have our DataOps team at your disposal, so that you can focus on becoming more successful, together. Our DataOps team is a multidisciplinary, self-organising team that covers the whole chain from data ingestion to delivering actionable insights to drive your commercial decisions.
What makes a DataOps team unique is that demand and supply are on one side and that the team decides what has the highest priority and should be developed first. A DataOps team is not only responsible for developing new solutions but is also responsible for maintaining the operational environment. In other words, the team builds new solutions, uses these new solutions to get even better insights, and manages the solutions at the same time!
DataOps brings you:
- A multi-disciplinary, self-organising team, responsible for the development, maintenance and operations.
- All relevant skills on one team, from data engineer to data scientist to business owner, breaking down the departmental silos.
- New functionalities are in production fast with the scrum approach, along with automated testing and monitoring.
- Cloud platform use for high performance and scalability, and lower costs.