Enable breakthroughs in every corner of your organization by smooth data sharing.
What is a DI Foundation?
Technology as a business and innovation partner to design a tech-forward business strategy, integrate tech management across organizational clusters, and deliver outstanding user and customer experiences.
IT needs to change how it delivers technology; improving IT services with next-generation capabilities such as, platform as a service, cloud, scalable AI, and being ready to support decision intelligence.
To keep pace with the latest technological changes, organizations need to implement a flexible architecture supported by composable platforms, streaming data and advanced cybersecurity.
By 2025, 50% of enterprises
will have devised artificial
intelligence (AI) orchestration
platforms to operationalize AI,
which is a significant increasefrom less than 10% in 2020.
Pieter den Hamer, Erick Brethenoux,
It's to good to be aware that you hold a treasure of high quality data within your company today. Maybe you just need to unlock it. That said, in many cases there's public or third party data available that fit the missing puzzle pieces.
Don’t keep your metadata locked up in your source systems or even a data catalog. Give users and tools an easy way to find, analyze, understand and trust the data used, wherever it is located.
By infusing the data fabric with metadata, its structure will reflect behavior, ready to extract company wisdom from.
It's the way we can connect entities and understand their relationships as it links your data with common business terms. It forms the underlying structure of the data fabric. They do not only introduce a shareable and reusable knowledge representation, but can also add new knowledge about the domain.
With governance, security and regulatory compliance built into the fabric consistently across all data, an enterprise data fabric architecture delivers trusted data, resulting in trusted outcomes for your AI initiatives.
As organizations constantly use more data in distributed environments, and face more complex business requirements, data and analytics leaders need to assure high data quality.
Data fabric makes the digital transformation easier because there’s a clear picture of your organization’s data as a whole. Companies must come to grips with the reality of data as it is, distributed, and decentralized.
Ultimately, it’s about gaining the experience required to reduce risk, plan resources, and accelerate time-to-value of enterprise-scale deployments.
Data preparation capabilities enable faster time to delivery of integrated datasets for use cases. Furthermore, it allows users to identify anomalies and patterns and improve and review the data quality of their findings in a repeatable fashion.
Microsoft Azure holds the potential to make data flow through your organization very smoothly. The many connectors available allow you to integrate non-Microsoft tools as well or we can even create the necessary links ourselves.