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ATOLL Platform
Integrated data management platform
Your business-related data in common virtual space.
The data is accumulated under uniform QC rules from all available sources
Challenges
IT ENVIRONMENT DESCRIPTION (data catalogue)
IT ENVIRONMENT DESCRIPTION (data catalogue)
Description in meta-data register form
- What types of data.
- In which systems.
- What rules and regulations.
Do the employees operate and follow
IT ENVIRONMENT DESCRIPTION (data catalogue)
Description in meta-data register form
- What types of data.
- In which systems.
- What rules and regulations.
Do the employees operate and follow
MASTER DATA (GOLDEN RECORDS/MDM)
MASTER DATA (GOLDEN RECORDS/MDM)
Unique instances sets formed upon request by classifying and consolidating data from all sources using common rules (physically/virtually).
MASTER DATA (GOLDEN RECORDS/MDM)
Unique instances sets formed upon request by classifying and consolidating data from all sources using common rules (physically/virtually).
DATABUS (ETL)
DATABUS (ETL)
Data streams management to synchronize data between systems. Archive data uploading.
Scheduled data exchange between systems.
DATABUS (ETL)
Data streams management to synchronize data between systems. Archive data uploading.
Scheduled data exchange between systems.
DATA QUALITY
DATA QUALITY
Data QC by ontology terms rules:
- QC in Master data
- QC in sources
- QC during ETL
DATA QUALITY
Data QC by ontology terms rules:
- QC in Master data
- QC in sources
- QC during ETL
IT ENVIRONMENT
IT ENVIRONMENT
Systems and data accessibility monitoring.
Full monitoring of license software. Documented deployment configurations (includeng systems instances, location and solutions). IT infrastructure change tracking
IT ENVIRONMENT
Systems and data accessibility monitoring.
Full monitoring of license software. Documented deployment configurations (includeng systems instances, location and solutions). IT infrastructure change tracking
CORPORATE SEARCH
CORPORATE SEARCH
End-to-end data search in all available systems; results are consolidated by common rules.
For web clients: access via REST API
CORPORATE SEARCH
End-to-end data search in all available systems; results are consolidated by common rules.
For web clients: access via REST API
DATA BUCKET
DATA BUCKET
Datamarts and datasets creation for data analysis and decision making.
DATA BUCKET
Datamarts and datasets creation for data analysis and decision making.
DATA ENTRY PORTAL
DATA ENTRY PORTAL
Enabled manual data entry via form designers.
Replaces Excel-echange by creating manageable data sources as per Corporate data catalogue standards.
DATA ENTRY PORTAL
Enabled manual data entry via form designers.
Replaces Excel-echange by creating manageable data sources as per Corporate data catalogue standards.
Data Management Concept
Main goal – to identify and classify the available data for its further use in decision making.
Data streams description
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Apps register, instances (physical DB model and file storages), logical data model, rules of logical model placement within physical model)
Data types description
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Glossary terms
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Ontology objects
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Objects links
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Objects instances uniqueness
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Object allocation in domains
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Grouping in diagrams,
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References identification
Responsibility allocation
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Responsible officers or roles for ontology objects and data sources
Mapping
- Rules of ontology objects picking from logic and/or physical models
References
- References updating
- Reference data recoding between data source
Master Data Generation
- A register of all unified instances from all sources.
- Comparison of unique instances not identified automatically.
Data streams design
- Data streams register.
- Data streams forming from ontology objects.
- Streaming schedule, data conversion algorithm).
QC Rules Design
- Register of data QC check in MD and sources.
- QC rules algorithms.
Data streams initiation and uploading logs monitoring
QC check initiation; quality status monitoring
Business effects
Optimised IT environment utilization
All IT solutions from Data catalogue continue working as usual; meanwhile the centralized data exchange between them cuts cost 2-5 times
New IT solution implementation costs decrease
New data integration into data streams is 2-5 times faster than conventional integration. The data at this becomes available to all users, once IT solution is registered in Data catalogue.
Business routine takes less time
Lack of data management could have claimed up to 80% of work time
Less production cost
Use of up-to-date operational data via Platform ATOLL increases decision making quality on every production stage.
Less risk to lose intellectual property
Platform ATOLL allows access to data from ‘forgotten’ sources and guarantees all verified data will be secured in special storages
Key advantages
Used at largest Russian corporations for over 25 years
Platform ATOLL is a unique functionality enabling data management for any size of an organization
Good for any industry sector
Flexible ontology allows describing any business process and working with any specific data. PLATFORM ATOLL and its Data Catalogue role-based model provides for the following roles: business users; data analysts; data engineers; data scientists
Works with all types of data sources
Data retrieving from different data sources (relational DB, file storages etc).
PLATFORM ATOLL is scalable – neither number connected sources nor volume of data stored are limited.
Generates unique register of key data
A set of unique ontology instances forms from all available source (having both virtual access and physical storage ability).
Accumulated by common rules, this data becomes ‘uniform true’, available to all corporate services.
Enables manual entry/revision of key data
A manual entry form designer feature is provided for to replenish missing data needed for complete description of business process.
Objects recoding
Specialist manual and automated tools for objects comparison in different data sources and with different identification parameters.
Multilanguage
Add any language you want
To date, the app is operated in Russian, Vietnamese, Serbian and English
Microservice architecture for full data management cycle
Open Source solutions with cyber security and flexible integration.
Dual compatibility: own or external modules can be built in.
External processing and data enrichment algorithms can be used.
25 years in software development and support
Same visionaries since 2000. This facilitates smooth and step-by-step concept delivery and functionality adaptation to modern trends.
• Architectural concepts consistency
• Continuous functionality evolution
• Integration of cutting edge data management technologies
• Long-term support
• Support office along with flexible SLA ensures long and uninterruptible apps operation on PLATFORM ATOLL basis
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