Data silos: The key obstacle to unleashing the value of data

Data silos present a business problem for years.
As digital strategies move to the data-driven stage, data silos will be one of the biggest stumbling blocks to enterprises.

Data silos present a business problem for years.
As digital strategies move to the data-driven stage, data silos will be one of the biggest stumbling blocks to enterprises.

Up to 82% of
enterprises are
hindered by data silos

Up to 82% of
enterprises are
hindered by data silos

Only 45% of
structured data is
applied in business

Only 45% of
structured data is
applied in business

Less than 1% of
unstructured data is
analyzed or utilized

Less than 1% of
unstructured data is
analyzed or utilized

Up to 68% of the
data is not
analyzed

Up to 68% of the
data is not
analyzed

What is a Data Silo?

Data silos caused by departments, applications, architectures, and multi-cloud environments prevent data from being exchanged, shared, and utilized.

Data silos from departments

Data in different departments cannot be exchanged, causing data to be limited to internal, inaccessible and unavailable

Data silos from applications

Data is limited to a single application, cannot be shared or utilized

Data silos from architectures

Data is isolated in different systems and cannot be exchanged, shared and utilized, hindering data-driven business


Data silos from multi-clouds

With the common adoption of hybrid cloud or multiple public clouds, data is distributed across different cloud infrastructures and cannot be exchanged, shared, or utilized, hindering data-driven business


Stop the Spread of Data Silos and Enable Data-driven Management

Break down unstructured data silos, machine data silos, and backup data silos, enable data sharing and utilization

Unstructured Data

·Unified Content Management: Break down unstructured data silos and realize unified content management across desktop data and business data

·Unified Knowledge Management: Break down knowledge silos and realize the advancement from document management to knowledge management, realizing unified knowledge management

·Unified Search: Driven by AI, unified data search can be realized intelligently across varied platforms, systems and applications


Machine Data

·Unified Machine Data Management: Bridge the data silos of logs, metrics and traces to achieve unified machine data collection and management

·Unified Search: Automatic correlation analysis supports unified search of machine data


Backup Data

·Test Data Management: Break down backup data silos by reusing backup data

Break Down Unstructured Data Silos, Content Empowers Productivity

Nearly 80% of organizations' data is unstructured data, yet less than 1% of which is analyzed or utilized

Break Down Machine Data Silos and Unleash Operations Productivity

Realize AIOps through unified collection and management of machine data

Break Down Backup Data Silos and Unleash Backup Data Value

Develop and test with backup data for reuse of backup data

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