Embrace Open Architecture, Leverage Digital Ecosystems, Grow & Scale your business. Information exchange, open ecosystems, and partner collaboration, are driving disruption across industry verticals. Enterprises are collaborating and opening up their systems for surrounding ecosystems to integrate business processes, improve customer services and monetize information insights.
Digital transformation programs have introduced a variety of applications within an enterprise for rapid rollout. Every enterprise has a set of tech platforms that are required to be serviced with the right skills which are either legacy or scarce. This slows down the pace of business change and reaches to the market.
Moving to Cloud architecture is more of necessity than a choice for most of the enterprise IT ecosystems. Hybrid scenarios of On Premise with multi cloud interactions are pervasive driven more by business needs than IT. Agility, Scalability and on-demand services require born in the cloud or cloud native approach to Business & IT more resilient, flexible for future market dynamics.
Every organization, from government agencies to start-ups and the largest global enterprises is on the path of digital transformation. Everyone wants real benefits of rich data in order to improve business processes, innovate and make more informed business decisions to better serve employees, customers, citizens, and stakeholders. However, becoming a data-driven organization is not an easy transition!
Modern Data Platform is a future-proof architecture. It has two main parts - Data Culture & Data Platform. In simple words, it is a collection of tools and practices that, when brought together, allow organizations to achieve the gold standard — a fundamentally data-driven organization. It is a unified platform combining data ingestion, data processing, data storage, data analysis. They are built on a solid foundation of data governance and data security practices.
Do your decision-makers spend a lot of time searching the data they need? Do they struggle to find relevant information in massive amount of data? Do they get the data with high quality and completeness? Do they have timely access to the data? Have you missed the business opportunities due to the inaccessibility of data?
By asking these questions, you understand where you stand in terms of data maturity and where the company lacks in achieving goal of building data culture. Data maturity is a very crucial factor playing a vital role in success of an organisation. Data maturity can be achieved by making data FAIR – Findable, Accessible, Interoperable and Reusable. FAIRness of data is a very important aspect for machine learning. FAIR Data principles provide a data management framework to help organisation manage their data assets. By executing FAIR data strategy, the organisations can enhance the data value lifecycle. FAIR is generally used to talk about three things – data, metadata and infrastructure.