Data management redefined: The public sector's path to digitisation with ableX
Introduction: In a world that is increasingly driven by data, effective data management in the public sector is more important than ever....
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PUBLIC SECTOR
TOPICS THAT MOVE
The public sector includes government and administrative organizations that provide services to citizens. The challenges lie in ensuring data security, addressing interoperability issues caused by data silos, dealing with legacy IT systems and the need to ensure regulatory compliance. The focus is on digital transformation and the use of big data to improve efficiency and proximity to citizens.
Data security
and protection
Public institutions process and store large amounts of sensitive data, including citizens' personal information. Protecting this data from cyberattacks and data leaks is paramount to maintaining public trust and ensuring compliance with data protection laws.
Legacy systems and
digitalisation
Many public institutions rely on outdated IT systems that are not suitable for the requirements of modern data management. The transition to modern systems requires significant investments and involves risks, especially when it comes to the integrity and availability of critical data.
Interoperability
and data silos
The public sector consists of many different departments and authorities, which often use isolated information systems. These data silos make data integration and analysis difficult, leading to inefficiency and a reduced ability to make data-driven decisions.
Regulatory and
legal compliance
The public sector consists of many different departments and authorities, which often use isolated information systems. These data silos make data integration and analysis difficult, leading to inefficiency and a reduced ability to make data-driven decisions.
DATA SECURITY AND PROTECTION
An effective data management system in the public sector can make a decisive contribution to data security and data protection:
SOLUTION
ENCRYPTION
The system implements strong encryption methods to secure data both in transit and at rest.
SOLUTION
ACCESS MANAGEMENT
Comprehensive access controls are implemented to ensure that only authorized personnel can access sensitive information.
SOLUTION
DATA PROTECTION
The system is configured to automatically comply with data protection regulations such as GDPR and support data protection impact assessments.
ADVANTAGE
RISK
MINIMIZATION
Reduces the risk of legal consequences and sanctions due to data breaches.
ADVANTAGE
TRUST BUILDING
WITH CITIZENS
When citizens see that their data is handled securely, it increases their trust in public institutions.
ADVANTAGE
PROTECTION AGAINST
DATA BREACHES
Implementing advanced security measures minimizes the risk of data leaks and cyberattacks.
ADVANTAGE
SAFER
EXCHANGE
Enables the secure exchange of information between authorities and thus improves internal and external communication.
INTEROPERABILITY
AND -DATA SILOS
A specialized data management system in the public sector can significantly contribute to interoperability between different authorities and to overcoming data silos:
SOLUTION
STANDARDIZED
INTERCHANGE FORMATS
The system promotes the use of standardized formats and protocols to facilitate the exchange of data between different agencies and departments.
SOLUTION
INTEGRATION OF
DATA PLATFORMS
It enables the integration of different data platforms and systems so that information can flow seamlessly without being hindered by technical or organizational barriers.
SOLUTION
HEADQUARTERS
DATA MANAGEMENT
Central data management helps to bring together information from different sources and make it usable across the board.
ADVANTAGE
IMPROVED
SERVICES
Interoperability allows authorities to respond to citizen requests and coordinate services more quickly and efficiently.
ADVANTAGE
REDUCTION OF
REDUNDANCIES
By eliminating data silos, redundancies in data collection and storage can be minimized, resulting in cost savings.
ADVANTAGE
DECISION-MAKING
FINDING
An integrated database enables more informed decision-making and policy-making because there is a more comprehensive understanding of the underlying data.
ADVANTAGE
PROMOTING
TRANSPARENCY
Interoperability contributes to transparency by enabling data to be shared between authorities and made available to the public.
LEGACY SYSTEMS AND QUALITY
An implemented data management system in the public sector can effectively support the modernization of outdated legacy systems and drive digitalization:
SOLUTION
INTEGRATION WITH
LEGACY SYSTEMS
The system provides interfaces to seamlessly communicate with older legacy systems and extract or update data.
SOLUTION
MIGRATION AND
MODERNIZATION
It enables the gradual migration of data from legacy systems to modern, digital formats that are easier to manage and analyze.
SOLUTION
CROSS-PLATFORM
COMPATIBILITY
The data management system is designed to be compatible with various technology platforms, enabling flexible digital transformation.
ADVANTAGE
IMPROVED
EFFICIENCY
By digitizing processes that previously ran on outdated systems, workflows become more efficient and less error-prone.
ADVANTAGE
INCREASED
ACCESSIBILITY
Data is made more accessible, both to government officials and citizens, improving service and engagement.
ADVANTAGE
FUTURE PROOF
TECHNOLOGY
Replacing legacy systems with modern solutions paves the way for future technological innovations and services.
ADVANTAGE
COST
SAVINGS
In the long term, digitalization leads to cost savings by reducing maintenance costs for outdated systems and automating processes.
REGULATORY AND
LEGAL COMPLIANCE
Implementing a data management system in the public sector can significantly contribute to compliance with regulatory and legal requirements:
SOLUTION
COMPLIANCE
TRACKING
The system has built-in functionality for tracking compliance requirements, ensuring that all requirements are met.
SOLUTION
AUTOMATED
REPORTING
It automates the process of creating and submitting reports required for regulatory purposes, ensuring their accuracy and timeliness.
SOLUTION
AUDIT
STANDBY
The system enables constant audit readiness through complete documentation and traceability of all data actions.
ADVANTAGE
REDUCING COMPLIANCE RISKS
Closely monitoring regulatory compliance minimizes the risk of non-compliance and associated sanctions.
ADVANTAGE
EFFICIENCY IN THE
ADMINISTRATION
Automation saves time and reduces the workload associated with manual compliance procedures.
ADVANTAGE
TRUST OF THE
PUBLICITY
Transparent compliance with laws and regulations strengthens public trust in the administration.
ADVANTAGE
DYNAMIC
ADJUSTMENTS
The system can quickly adapt to changing laws and regulations, improving the agility and responsiveness of the public sector.
OUR KEY FEATURES.
YOUR INDIVIDUAL SOLUTION.
We offer a variety of functionalities that are just waiting to be put together for your individual use. Take advantage of our flexibility in building data models and taking your very individual processes into account. Experience with us, without much programming,
how we can get the best potential out of your data!
Classification manager
ableX's Classification Manager is a powerful tool that allows users to automatically categorize and organize their data. It uses algorithms and predefined rules to organize data into structured groups, enabling systematic analysis and easier discovery of information. Users can define their own categories tailored to their specific requirements and processes, creating a personalized data structure. This feature supports compliance with data standards, facilitates reporting, and improves the overall efficiency of data management by automating sorting of large data sets, saving time and increasing accuracy.
DQR Editor
The "DQR Editor" (Data Quality Rules Editor) is a specialized feature within ableX that allows users to implement detailed data quality guidelines and precisely control their application. This tool provides a user-friendly interface to set specific parameters for data validation, such as format checks, value range restrictions, and dependency rules between data fields. The editor allows these rules to be applied to records to identify and correct inconsistencies, duplicates and errors. This allows organizations to proactively manage and continually improve the quality of their data, resulting in trustworthy data and informed business decisions.
Data field mapping
The "Datafield Mapping" feature in ableX is a critical tool that gives users the ability to meaningfully map data fields from a variety of data sources. This feature creates compatibility between heterogeneous data formats, which is essential for synchronizing information across different systems and platforms. With data field mapping, corresponding data fields are identified and linked, which creates a homogeneous data view. This is particularly advantageous when data from different systems such as CRM, ERP or external third-party databases need to be consolidated. It plays a central role in data migration, data import or data merging, for example by ensuring that 'customer number' in one database is correctly linked to 'client ID' in the other.
Referencing
The "Referencing" feature in ableX is a crucial tool for structuring and meaningfully connecting database content. It allows users to create unique references between records that serve as references. These references are essential for establishing relationships between different data elements, such as between customer and order data in a sales database. Referencing is also important when importing and exporting data between different systems, as it helps ensure the correct mapping between different fields Ensuring data sources. It plays a central role in ensuring data quality, especially in complex systems where the accuracy and reliability of information is critical for operational decisions, reporting and analytics.
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