Data Innovation at Enterprise Scale
ZONTAL Space is the first digital information lifecycle management platform to enable high data integrity and reuse at enterprise scale.
The result is seamless compliance and a greater capacity to innovate.
WHY
ONE PLATFORM
Execute cross-functional organizational responsibilities by using a set of integrated and standardized software services that are shared across the enterprise.
Functional needs of individual business units are met by implementing platform-enabled applications.
DATA DISCOVERY AND REUSE
Enhance search capabilities relevant to any global enterprise data application and ensure that non-scientific and scientific data is highly discoverable and enabled for reuse. Finding and extracting layers of standardized metadata during the ingestion process can save an enterprise time and money.
REGULATORY COMPLIANCE
Manage data integrity and access controls across the enterprise. As more data is derived from more sources, centralized data lifecycle management helps companies to both strengthen supervision and enable innovation to take place.
ENTERPRISE PLATFORM
Execute cross-functional organizational responsibilities by using a set of integrated and standardized software services that are shared across the enterprise.
Functional needs of individual business units are met by implementing platform-enabled applications.
DATA DISCOVERY AND REUSE
Enhance search capabilities relevant to any global enterprise data application and ensure that non-scientific and scientific data is highly discoverable and enabled for reuse. Finding and extracting layers of standardized metadata during the ingestion process can save an enterprise time and money.
REGULATORY COMPLIANCE
Manage data integrity and access controls across the enterprise. As more data is derived from more sources, centralized data lifecycle management helps companies to both strengthen supervision and enable innovation to take place.
Testimonials
“One of the simplest and slickest search UI’s I have ever seen on a piece of scientific software.“
Josh Bishop
Merck Research Laboratories IT, Scientific Support
Reduce Cost Through Standardization
Enterprise platforms are used to execute cross-functional organizational responsibilities by providing a set of integrated and standardized software services that are shared across the enterprise.
Functional needs of individual business units are met by implementing platform-enabled applications.
One Platform The Key to Unlocking Data Value
- Application agnostic
Reduced IT footprint offers heightened integrity and security - Format agnostic
Aggregation of scientific and non-scientific data formats provides a complete record - Regulation agnostic
Compliance with GxP and non-GxP requirements eleminates cross-functional barriers - Location agnostic
Cloud technology and micro service architecture offer the capacity for distributed on-premises or off-premises installations
Reduce Cost Through Standardization
Enterprise platforms are used to execute cross-functional organizational responsibilities by providing a set of integrated and standardized software services that are shared across the enterprise.
Functional needs of individual business units are met by implementing platform-enabled applications.
Enterprise Platform The Key to Unlocking Data Value
- Application agnostic
Reduced IT footprint offers heightened integrity and security - Format agnostic
Aggregation of scientific and non-scientific data formats provides a complete record - Regulation agnostic
Compliance with GxP and non-GxP requirements eleminates cross-functional barriers - Location agnostic
Cloud technology and micro service architecture offer the capacity for distributed on-premises or off-premises installations
Data Discovery and Reuse Make Data Findable, Accessible, Interoperable, and Reusable Across the Distributed Enterprise
- Application of the FAIR data principles
- Contextual metadata enhance findability
- Web services and web user interfaces provide secure access to metadata and content
- Open standards and controlled vocabularies increase interoperability
- Global access to local archives eliminates barriers to reusability
FAIR Data Principles
The highest data reuse is the goal of any leader in innovation. ZONTAL is the first platform to enable live data preservation for regulated and non-regulated industries that seek to uphold FAIR data principles and enable innovation at-scale.
FAIR Data Principles
The highest data reuse is the goal of any leader in innovation. ZONTAL is the first platform to enable live data preservation for regulated and non-regulated industries that seek to uphold FAIR data principles and enable innovation at-scale.
Data Discovery and Reuse Make Data Findable, Accessible, Interoperable, and Reusable Across the Distributed Enterprise
- Application of the FAIR data principles
- Contextual metadata enhance findability
- Web services and web user interfaces provide secure access to metadata and content
- Open standards and controlled vocabularies increase interoperability
- Global access to local archives eliminates barriers to reusability
Beyond Data Capture
See beyond traditional data capture opportunities and take on the level of strategic responsibility required by tomorrow’s enterprise automation initiatives.
- Easily configure and validate data ingestion at scale. Acquire, share and reuse data.
- Gain a more complete view of the innovation landscape ahead.
- Strategic objectives toward automation are executed with the highest possible data integrity.
Regulatory Compliance Siloed Storage Systems can be a Risk to Business
When different business units use siloed storage or data management systems, decades of data opportunities become lost. When data is not findable or accessible, companies and their customers are at great risk.
ZONTAL Space changes the way businesses aggregate, secure, preserve, access, and value their data assets.
- Meet federal and regional data security requirements
- Uphold and secure data retention periods and litigations
- Sustainable formatting makes data forever up-to-date and relevant and offers the capacity to drive data innovation on-demand.
Beyond Data Capture
See beyond traditional data capture opportunities and take on the level of strategic responsibility required by tomorrow’s enterprise automation initiatives.
- Easily configure and validate data ingestion at scale. Acquire, share and reuse data.
- Gain a more complete view of the innovation landscape ahead.
- Strategic objectives toward automation are executed with the highest possible data integrity.
Regulatory Compliance Siloed Storage Systems can be a Risk to Business
When different business units use siloed storage or data management systems, decades of data opportunities become lost. When data is not findable or accessible, companies and their customers are at great risk.
ZONTAL Space changes the way businesses aggregate, secure, preserve, access, and value their data assets.
- Meet federal and regional data security requirements
- Uphold and secure data retention periods and litigations
- Sustainable formatting makes data forever up-to-date and relevant and offers the capacity to drive data innovation on-demand.
Information Lifecycle Management Build Trust to Maximize Data Reuse
- Data ownership secures data value over time
- Data governance manages documentation standards, ensures interoperability and simplifies collaboration
- Data quality management maximizes data value and compliance
- Data provenance builds trust and encourages reuse
- Configurable workflows allow implementing business specific requirements
- Automated retention schedules minimize efforts of archive management
Data Integrity, Quality and Provenance
Assessing data for its trustworthiness becomes important in data reuse with the growth in data creation because of the lack of standards for ensuring data quality and potential harm from using poor-quality data.
Data Integrity, Quality and Provenance
Assessing data for its trustworthiness becomes important in data reuse with the growth in data creation because of the lack of standards for ensuring data quality and potential harm from using poor-quality data.
Information Lifecycle Management Build Trust to Maximize Data Reuse
- Data ownership secures data value over time
- Data governance manages documentation standards, ensures interoperability and simplifies collaboration
- Data quality management maximizes data value and compliance
- Data provenance builds trust and encourages reuse
- Configurable workflows allow implementing business specific requirements
- Automated retention schedules minimize efforts of archive management
Artificial Intelligence and Robotic Process Automation
80 percent of the work data scientists perform today, according to this Forbes Magazine report, can be automated. This puts great pressure on companies to FAIRify their data today, so that automated systems may be of the highest possible quality and performance.
Standardized APIs Secure and Automate Access to Metadata and Content
- Web service APIs integrate into the existing application landscape
- Agents integrate laboratory instruments to improve data integrity
- Allotrope Data Format (ADF) files transfer raw data, contextual metadata, audit trails and checksums in a vendor neutral format
Artificial Intelligence and Robotic Process Automation
80 percent of the work data scientists perform today, according to this Forbes Magazine report, can be automated. This puts great pressure on companies to FAIRify their data today, so that automated systems may be of the highest possible quality and performance.
Standardized APIs Secure and Automate Access to Metadata and Content
- Web service APIs integrate into the existing application landscape
- Agents integrate laboratory instruments to improve data integrity
- Allotrope Data Format (ADF) files transfer raw data, contextual metadata, audit trails and checksums in a vendor neutral format
Open Standards “Drive" Innovation and Sustainable Development
- ISO 14721: Reference Model for Open Archival Information Systems (OAIS)
- ISO 16363: Trustworthy Repositories Audit and Certification (TRAC)
- EMA “Best Archiving Practice” (BAP)
- Allotrope Data Format, GxP compliant Data Container (ADF)
- Public Ontologies (allotrope, prov, foaf, dc terms, qudt, …)
- S3 compatible storage (Amazon S3, Dell ECS, Hitachi HCP, …)
Data Interoperability
The seamless, secure and controlled exchange of data is a serious challenge in maximizing the potential of the many digital tools and resources.
The lack of interoperability means that a complete record often will not be available, compromising compliance and inhibiting innovation.
Data Interoperability
The seamless, secure and controlled exchange of data is a serious challenge in maximizing the potential of the many digital tools and resources.
The lack of interoperability means that a complete record often will not be available, compromising compliance and inhibiting innovation.
Open Standards “Drive\" Innovation and Sustainable Development
- ISO 14721: Reference Model for Open Archival Information Systems (OAIS)
- ISO 16363: Trustworthy Repositories Audit and Certification (TRAC)
- EMA “Best Archiving Practice” (BAP)
- Allotrope Data Format, GxP compliant Data Container (ADF)
- Public Ontologies (allotrope, prov, foaf, dc terms, qudt, …)
- S3 compatible storage (Amazon S3, Dell ECS, Hitachi HCP, …)
STANDARDS
A new frontier for data preservation and innovation
Platform Architecture
The Open Archival Information System (OAIS) approach benefits a wide variety of organizations and institutions with diverse digital archiving needs.
Validation Process
ZONTAL creates trust by following consistent processes, detailed documentation, and setting a strong focus on sustainability. |
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Access the full scope of enterprise data in a single platform. See beyond traditional data capture opportunities and take action on new data insights in a way that is collaborative, efficient, and secure.
