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
- Unified Content Management
- Unified Knowledge Management
- Unified Search
-
A Technology Company
The business department is trying to carry out customer success services, but being unfamiliar with the sales, pre-sales, and delivery processes. A large amount of unstructured data generated in each process was scattered on desktops and business systems. The department wanted to achieve unified access and utilization of data across the process to further understand customer needs and project status and provide more professional services.
Key Challenges
- Knowledge worker's data is scattered on desktops and difficult to access and utilize.
- Data form business systems is limited to certain applications and difficult to share and exchange
- Existing data in old systems is difficult to migrate and integrate, resulting in data exfiltration and loss
Business Value
- Integrate scattered data from desktop and business systems to achieve unified content management
- Migrate existing data in old systems online smoothly for unified management with no impact on current business operations
-
A Large Law Firm
The law firm generates a large amount of knowledge data daily and has 1,400+ professionals in 14+ cities. The lack of unified knowledge management made it difficult to effectively analyze and utilize the large amount of knowledge data. The company wanted to realize unified knowledge management and cross-departmental knowledge sharing and exchange.
Key Challenges
- Difficult to integrate, identify, analyze and process document data into knowledge data uniformly
- Difficult to share and exchange knowledge across departments
Business Value
- Build an enterprise-level knowledge base and realize unified knowledge data management
- Create knowledge themes around business and intelligently recommend relevant knowledge
- Create enterprise knowledge communities and expert pools to promote talent knowledge exchange and sharing
-
A Design Company
The project cycle was urgent, but the design materials were scattered across the company. It was difficult for designers to find historical drawing materials and design files quickly and accurately, or even unable to find them. The company wanted to improve search efficiency and quality with an effective search method to deliver high-quality design drawings on time.
Key Challenges
- Slow search speed
- Low search accuracy
- High search compliance requirements
Business Value
- Provide a unified search portal to achieve millisecond search speed
- Support comprehensive search, image search, knowledge search
- AI-driven intelligent search enables highly accurate search and relevant knowledge recommendation
- Rigorous and reasonable authority control to ensure search compliance and data access security
-
Unified Content Management
A Technology Company
The business department is trying to carry out customer success services, but being unfamiliar with the sales, pre-sales, and delivery processes. A large amount of unstructured data generated in each process was scattered on desktops and business systems. The department wanted to achieve unified access and utilization of data across the process to further understand customer needs and project status and provide more professional services.
Key Challenges
- Knowledge worker's data is scattered on desktops and difficult to access and utilize.
- Data form business systems is limited to certain applications and difficult to share and exchange
- Existing data in old systems is difficult to migrate and integrate, resulting in data exfiltration and loss
Business Value
- Integrate scattered data from desktop and business systems to achieve unified content management
- Migrate existing data in old systems online smoothly for unified management with no impact on current business operations
-
Unified Knowledge Management
A Large Law Firm
The law firm generates a large amount of knowledge data daily and has 1,400+ professionals in 14+ cities. The lack of unified knowledge management made it difficult to effectively analyze and utilize the large amount of knowledge data. The company wanted to realize unified knowledge management and cross-departmental knowledge sharing and exchange.
Key Challenges
- Difficult to integrate, identify, analyze and process document data into knowledge data uniformly
- Difficult to share and exchange knowledge across departments
Business Value
- Build an enterprise-level knowledge base and realize unified knowledge data management
- Create knowledge themes around business and intelligently recommend relevant knowledge
- Create enterprise knowledge communities and expert pools to promote talent knowledge exchange and sharing
-
Unified Search
A Design Company
The project cycle was urgent, but the design materials were scattered across the company. It was difficult for designers to find historical drawing materials and design files quickly and accurately, or even unable to find them. The company wanted to improve search efficiency and quality with an effective search method to deliver high-quality design drawings on time.
Key Challenges
- Slow search speed
- Low search accuracy
- High search compliance requirements
Business Value
- Provide a unified search portal to achieve millisecond search speed
- Support comprehensive search, image search, knowledge search
- AI-driven intelligent search enables highly accurate search and relevant knowledge recommendation
- Rigorous and reasonable authority control to ensure search compliance and data access security
Break Down Machine Data Silos and Unleash Operations Productivity
Realize AIOps through unified collection and management of machine data
- Unified Machine Data Management
- Unified Search
-
A Financial Company
On the one hand, in order to meet compliance requirements, the company needs to retain 500GB of daily transaction logs for compliance. However, the logs are distributed in different transaction businesses and systems, and the ops team is inefficient in obtaining them. On the other hand, some users recently gave feedback that they could not access transaction payments. It is necessary to locate and fix the fault quickly to avoid receiving customer complaints and affecting business operation.
Key Challenges
- Logs, metrics and traces across different technology stacks, making data collection and compliance retention difficult
- Large and scattered machine data volume makes it difficult to uniformly manage, quickly locate and repair faults, and affect customer experience
Business Value
- All-platform data collection capabilities and compliance retention to meet the needs of corporate compliance and legal operation
- Unified management of machine data to achieve rapid system fault location and repair
- Enhance the quality of external services and improve customer experience
-
A Large Energy Company
This customer uses a core office system. When the system fails, administrators need to search logs, metrics and traces separately to locate the fault, which is inefficient and takes a long time to locate and fix the fault.
Key Challenges
- Log data is scattered on multiple devices and systems, lacking a unified search portal
- Lack of common search statement templates, resulting in slow search efficiency
- Lack of correlation of data, search for single attribute/source logs cannot locate faults
Business Value
- Provide a unified search portal for multi-device and system data
- Friendly search syntax prompt function, helping business and ops teams to search efficiently
- Quickly locate faults through correlation search
-
Unified Machine Data Management
A Financial Company
On the one hand, in order to meet compliance requirements, the company needs to retain 500GB of daily transaction logs for compliance. However, the logs are distributed in different transaction businesses and systems, and the ops team is inefficient in obtaining them. On the other hand, some users recently gave feedback that they could not access transaction payments. It is necessary to locate and fix the fault quickly to avoid receiving customer complaints and affecting business operation.
Key Challenges
- Logs, metrics and traces across different technology stacks, making data collection and compliance retention difficult
- Large and scattered machine data volume makes it difficult to uniformly manage, quickly locate and repair faults, and affect customer experience
Business Value
- All-platform data collection capabilities and compliance retention to meet the needs of corporate compliance and legal operation
- Unified management of machine data to achieve rapid system fault location and repair
- Enhance the quality of external services and improve customer experience
-
Unified Search
A Large Energy Company
This customer uses a core office system. When the system fails, administrators need to search logs, metrics and traces separately to locate the fault, which is inefficient and takes a long time to locate and fix the fault.
Key Challenges
- Log data is scattered on multiple devices and systems, lacking a unified search portal
- Lack of common search statement templates, resulting in slow search efficiency
- Lack of correlation of data, search for single attribute/source logs cannot locate faults
Business Value
- All-platform data collection capabilities and compliance retention to meet the needs of corporate compliance and legal operation
- Unified management of machine data to achieve rapid system fault location and repair
- Enhance the quality of external services and improve customer experience
Break Down Backup Data Silos and Unleash Backup Data Value
Develop and test with backup data for reuse of backup data
- Test Data Management
-
A Large Bank
The bank's test center is in high demand for data, and getting data from the production environment would take up a lot of production resources. Therefore, the bank wanted to use the backup data for development and testing while keeping the sensitive data secure.
Key Challenges
- Cross-departmental flow of backup data is difficult
- Sensitive data security cannot be guaranteed
- Inputs and outputs are not proportional
Business Value
- Reduce the impact on the production environment
- Accelerate data flow across departments to improve R&D delivery efficiency
- Sensitive data masking for security compliance
- Improve return on investment
-
Test Data Management
A Large Bank
The bank's test center is in high demand for data, and getting data from the production environment would take up a lot of production resources. Therefore, the bank wanted to use the backup data for development and testing while keeping the sensitive data secure.
Key Challenges
- Cross-departmental flow of backup data is difficult
- Sensitive data security cannot be guaranteed
- Inputs and outputs are not proportional
Business Value
- Reduce the impact on the production environment
- Accelerate data flow across departments to improve R&D delivery efficiency
- Sensitive data masking for security compliance
- Improve return on investment