
How to drive trusted decisions without changing your current data infrastructure.
Learn more about DataOS in our white paper.
Making the shift to data-driven infrastructure seems like the obvious choice for enterprises. However, significant challenges exist in extracting real value from the data companies already have. Data complexity along with the combination of legacy systems coupled with new data solutions are keeping insights locked up.
This lack of insight creates pressure to collect more data, different data, better data, but insight remains elusive.
Organizations are still locked in something we call “past analysis.”
This is a good enough approach to historical data, but as all companies far and wide begin to leverage data to make decisions, it’s not enough to make a decision. That decision must be swift, innovative, and in real-time (if not ahead of its time).
Organizations have real barriers to becoming data-driven:
According to Gartner, a well-designed Data Fabric can provide the scalability and the flexibility businesses need. However, many organizations struggle to conceptualize how a Data Fabric truly works.
A Data Fabric connects current and past data solutions—overlaying the complex network that’s been created with data. It creates cohesion by:
Past data models required lots of lead time to build the architecture and deploy. And once that happened, no one wanted to change things around because it meant more time spent within the build and less time getting insight. Companies received “just enough” insight to make forecasts based on the past, but left money on the table when it came to real-time decisions. Now, with the composable business model and a Data Fabric in-place, it’s time for significant digital transformation.
Companies need to protect their data while providing flexible access to different teams and members. Data Fabrics provide companies with the governance they need (right down to the granular level) to protect data as their most valuable asset without tying up IT resources.
A Data Fabric makes silos a thing of the past. It turns data of all shapes, forms, and volumes into real-time insight for all users, effectively turning even large enterprises into agile organizations that disrupt the status quo.
The Modern DataOS® mission is to dramatically change how companies do data…without the upheaval that often goes along with that change. DataOS transforms data in a matter of weeks without the need for disruptive retraining, massive downtime, or letting go of current solutions. Finally, data works for organizations instead of the other way around.
To find out more about DataOS features and how it can help your company build next generation data tools, download the Modern DataOS Overview.
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