Data management and data protection: why one doesn't work without the other
In the era of digitalisation, in which companies have access to an unprecedented volume and variety of data, data protection is...
top of page
TELE- COMMUNICATIONS
TOPICS THAT MOVE
The telecommunications industry provides the infrastructure and services required for digital communication and data transmission. The main players include fixed and mobile network providers, internet service providers and satellite communications companies.
They face technological challenges, such as the expansion of 5G and the integration of new technologies, as well as regulatory requirements and the protection of user privacy.
Amount of data
and complexity
Telecommunications companies must manage enormous amounts of data coming from customers, network devices, call data records (CDRs), and other sources. This data is not only large, but also complex and often unstructured, making it difficult to collect, store and analyze.
Data protection
and security
Similar to retail, telecommunications companies also have a responsibility to protect their customers' personal information. You must ensure that data is protected from unauthorized access and that strict data protection regulations are adhered to. This is particularly difficult because they can be the target of sophisticated cyberattacks.
Real-time data processing
and analysis
It is critical for telecommunications providers to be able to process data in real-time to monitor network performance, quickly identify and resolve problems, and deliver personalized customer experiences. However, processing and analyzing data streams in real time presents a significant challenge.
Regulatory
Compliance
Telecommunications companies are subject to strict regulation, including rules on data storage and provision. Compliance with these regulations requires precise data management systems and processes, which adds additional costs and complexity.
DATA QUANTITY AND COMPLEXITY
In the telecommunications industry, a sophisticated data management system can effectively address the challenges of large data volumes and complexity:
SOLUTION
HIGH PERFORMANCE
DATA PROCESSING
By using scalable database technologies, large volumes of call data, network information and customer data can be processed efficiently.
SOLUTION
ADVANCED ANALYTICS
Using advanced analytics tools to address data complexity can provide insights into usage patterns, network utilization and quality of service.
SOLUTION
DATA MODELING
Complex data structures are simplified through data modeling, allowing for better handling and evaluation.
ADVANTAGE
OPTIMIZED
NETWORK PLANNING
A comprehensive understanding of data enables more efficient network planning and optimization, resulting in improved quality of service
ADVANTAGE
PERSONALIZED
CUSTOMER EXPERIENCE
Analyzing customer data supports the creation of personalized offers, which increases customer satisfaction and loyalty.
ADVANTAGE
COST
EFFICIENCY
Efficient data management reduces operational costs by better allocating resources and minimizing downtime.
ADVANTAGE
FASTER
MARKET LAUNCH
The ability to process and analyse complex data quickly accelerates the introduction of new services and products.
DATAPROCESSING AND ANALYSIS
In the telecommunications industry, a powerful data management system can significantly improve the ability to perform real-time data processing and analysis:
SOLUTION
STREAM PROCESSING
TECHNOLOGIES
The system uses real-time processing technologies to instantly analyze data streams such as call data, network usage and customer interactions.
SOLUTION
REAL-TIME DASHBOARD
AND ALARMS
It provides dashboards that update in real-time and can automatically trigger alerts for anomalies or network issues.
SOLUTION
ADAPTIVE
DATA PIPELINES
Adaptive pipelines ensure flexible and fast data processing to respond to dynamic network requirements.
ADVANTAGE
NETWORK
SURVEILLANCE
Instant processing and analysis of data enables ongoing monitoring and optimization of the network, minimizing outages and improving quality of service.
ADVANTAGE
MORE PROACTIVE
CUSTOMER SERVICE
Real-time analysis of customer data allows problems to be identified and proactively addressed before they impact the customer.
ADVANTAGE
IMPROVED
DECISIONS
Real-time information enables decision-makers to respond faster and more informed, resulting in more efficient operations.
ADVANTAGE
COMPETITIVE
ADVANTAGE
The ability to respond to data in real time provides an advantage in a fast-moving market by quickly responding to customer needs and quickly implementing new services.
DATA PROTECTION AND SAFETY
In the telecommunications industry, a powerful data management system can significantly improve the ability to perform real-time data processing and analysis:
SOLUTION
ENCRYPTION
PROTOCOL
The system implements strong encryption protocols for data transmission and storage to protect data from unauthorized access.
SOLUTION
ACCESS MANAGEMENT
It establishes strict access management that ensures that only authorized personnel have access to sensitive data.
SOLUTION
COMPLIANCE
MANAGEMENT
The system helps to monitor and document compliance with data protection laws such as the GDPR by logging data protection-relevant processes.
ADVANTAGE
TRUST-
BUILDING
By demonstrating reliable data protection and security measures, the company strengthens the trust of its customers.
ADVANTAGE
RISK
REDUCTION
Adhering to regulatory data protection standards and implementing advanced security technologies reduces the risk of data breaches and associated financial penalties.
ADVANTAGE
BRANDS
DIFFERENTIATION
Companies that are known for seriously protecting their customers' data can stand out from competitors.
ADVANTAGE
RESISTANCE
CAPABILITY
A robust security system increases resilience against cyberattacks and protects the infrastructure and customer data.
REGULATORY COMPLIANCE
A data management system in the telecommunications industry aimed at regulatory compliance offers specific solutions and benefits:
SOLUTION
COMPLIANCE
SURVEILLANCE
The system can be configured to continuously monitor and document compliance with regulatory requirements.
SOLUTION
COMPLIANCE
REPORTING
It generates automatic reports for regulatory bodies that demonstrate compliance with relevant laws and guidelines.
SOLUTION
AUDIT
TRAILS
Full audit trails are created that log all accesses and changes to the data, which is beneficial during reviews by regulators.
ADVANTAGE
RISK
MINIMIZATION
The system minimizes the risk of compliance violations and the associated penalties and sanctions.
ADVANTAGE
EFFICIENCY
INCREASE
Automating the compliance process saves time and resources that would otherwise be required for manual reviews and reporting.
ADVANTAGE
REPUTATION
PROTECTION
Compliance with regulatory requirements protects the company's reputation and strengthens trust among stakeholders and customers.
ADVANTAGE
SPEED
The system can be quickly updated to meet new regulatory requirements, increasing the company's agility in an ever-changing legal environment.
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.
Referenzierung
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.
bottom of page