DATAOPS IS A COLLABORATIVE DATA MANAGEMENT PRACTICE, AN INNOVATIVE APPROACH THAT INCORPORATES VARIOUS TECHNIQUES, WORKFLOWS AND ARCHITECTURAL MODELS TO IMPROVE THE COMMUNICATION, INTEGRATION AND AUTOMATION OF DATA FLOWS
Cultura Agile, DevOps and DataOps and an essential reformulation of how the work is organised: different languages and grammars come together in the management of the common denominator, the process data. In recent years, the need to adopt a transversal approach, which can change the entire management of information and its transformation into value and offer immediate benefits, has become consolidated. The benefits include:
• increasing the speed and quality of data-driven processes
• transparency and accessibility of data
• time savings and greater ease in the control, monitoring and governance of data
• reduction of error rates in data processing
DataOps applies to the entire data lifecycle, from preparation to reporting: it provides the tools, processes and organisational structures needed to cope with the increasing quantity of data and responds to the need for greater quality, speed and integration of data into business models.
It is aimed at Boards, IT teams, Business and Marketing people and Data Owners in general, allowing them to simplify the decision-making process, reduce the workload and streamline the governance of data by centralising and enriching them with information/models. An approach that also improves communication: as an added value, it creates a link between the data analysis team and the IT department, optimising the collaboration between different people, technologies and environments.
The operating model
The data management flow starts with the collection of the information, then managing, modelling and cataloguing it, until it involves the people capable of extracting it and extending its value, before passing to the visual representation stage.
SCAI Finance adopts DataOps as part of an ecosystem of interlinked technologies: artificial intelligence and deep learning help guide choices, decisions and analysis, thanks also to the involvement of market-leading products such as UiPath, Microsoft Power Platform and Automate, Erwin, Alteryx (Data Preparation, Bi, Data Discovery and Advanced Analytics) and Tableau (business intelligence software that allows anyone to connect to their data and visualise interactive and sharable dashboards, even without technical skills).
With Hyperautomation and Modern BI we are able to build data-driven processes, wherever they are and in whatever format they occur. Evolved Data Governance products enable a data transformation with modelling to build structured databases. The main objective is still to provide simple, scalable and sustainable tools and products.
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