Successful eCommerce: How it works!
Digitaler Handel gewinnt an Bedeutung und Unternehmen verstärken ihre Bemühungen. Doch oft bleibt der große Erfolg anfänglich aus.
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TRADE
TOPICS THAT MOVE
The commerce industry includes businesses engaged in the sale of goods and services to consumers, including retail and wholesale. It faces challenges such as digitizing the customer experience, managing the supply chain and adapting to changing consumer preferences.
Online retail has revolutionized the sector by increasing the importance of data analytics and customer-centric approaches.
Data quality
and integrity
Large amounts of data are generated in retail every day. This can lead to data quality issues, such as inaccurate, incomplete or outdated data. Without accurate and timely data, analysis and decisions can be inaccurate, which can lead to financial losses.
Data integration
and silos
Different departments of a trading company often work with different systems and data sources. This can lead to data silos, making it difficult to gain a holistic view of the company's data and processes. Effective data integration is therefore crucial to ensure consistent and comprehensive business insights.
Data security
and protection
Merchants collect sensitive data from customers, including personal and financial information. Protecting this data from unauthorized access and cyberattacks is of utmost importance. At the same time, retailers need to ensure they are compliant with data protection laws such as GDPR.
Analysis and use
of big data
Retailers have access to a wide range of data sources - from sales data to online behavioral data to inventory data. The challenge is to process, analyze and use this amount of data usefully. This includes implementing advanced analytics techniques such as machine learning and artificial intelligence to generate competitive insights.
DATA QUALITY AND INTEGRITY
A data management system aimed at improving data quality and integrity in retail offers targeted solutions and corresponding benefits:
SOLUTION
DATA VALIDATION
The system implements processes to verify and validate data as it is entered to ensure that only correct and relevant data is stored.
SOLUTION
DATA CLEANING
Automated routines identify and correct errors, eliminate duplicates, and update obsolete entries.
SOLUTION
DATA MAINTENANCE
Constant monitoring and maintenance of data quality to maintain the integrity of the data throughout its lifespan.
ADVANTAGE
OPERATIONAL EFFICIENCY
Clean data reduces the need for manual corrections
and increase the efficiency of business processes.
ADVANTAGE
RELIABILITY
High data quality ensures the reliability of the annual reports and analytics used for strategic decisions.
ADVANTAGE
CUSTOMER TRUST
Accurate and up-to-date data improves trust as services and communication are based on precise and correct information.
ADVANTAGE
SOLID BASE
A solid database enables clearer insights and supports informed decision-making.
DATA SECURITY AND PROTECTION
An effective data management system in retail offers specific solutions and benefits in terms of data security and protection:
SOLUTION
ENCRYPTION
Sensitive data is protected using modern encryption methods, which prevents unauthorized access.
SOLUTION
PERMISSIONS
Your system implements strict access controls to ensure that only authorized personnel can access sensitive data.
SOLUTION
DATA HISTORY
In the event of data loss, automated backups enable rapid recovery.
ADVANTAGE
PROTECTION
You get your protection against data loss and theft. Improved security measures minimize risks such as data leaks and cyber attacks.
ADVANTAGE
COMPLIANCE
The issue of compliance with data protection authorities is important. The system helps meet legal requirements, avoiding fines and litigation.
ADVANTAGE
TRUST
A secure system strengthens trust
of customers and business partners, as it shows that the company takes their data seriously and protects it.
ADVANTAGE
RISK MINIMIZATION
Reducing security risks protects the company from potential financial and reputational damage.
VIDEO
Master data management with ableX
The person responsible for master data sits between two chairs. The management wants to expand the range, but the master data team is already overloaded and is protesting. What can she do to do justice to both?
DATA INTEGRATION AND SILOS
An advanced data management system in retail can effectively address the challenges of data integration and breaking down data silos:
SOLUTION
CENTRAL PLATFORM
Implementation of a central platform that collects, consolidates and synchronizes data from different business areas.
SOLUTION
INTEGRATIONS TOOLS
Use of middleware and API management solutions to ensure seamless data flow between different systems and platforms.
SOLUTION
DISMANTLING SILOS
By centrally collecting and processing data, departmental boundaries are bridged and access to important information is standardized.
ADVANTAGE
STANDARDIZED
CUSTOMER VIEW
Clean data reduces the need for manual corrections and increase the efficiency of business processes.
ADVANTAGE
INCREASE IN
EFFICIENCY
High data quality ensures the reliability of the annual reports and analytics used for strategic decisions.
ADVANTAGE
FOUNDED
DECISIONS
Accurate and up-to-date data improves trust as services and communication are based on precise and correct information.
ADVANTAGE
AGILITY AND
INNOVATION
A solid database enables clearer insights and supports informed decision-making.
ANALYSIS AND USE OF BIG DATA
Using a data management system for analysis and use of
Big data allows trading companies to achieve significant improvements:
SOLUTION
SCALABLE
DATA ARCHITECTURE
Such a system provides a high-performance, scalable architecture that can efficiently process large amounts of data.
SOLUTION
ANALYTICAL
TOOLS
Built-in analytical features make it possible to identify patterns and trends in real time and perform predictive analysis.
SOLUTION
DATA VISUALIZATION
Complex data is transformed into easy-to-use dashboards and reports that make it easier for decision makers to gain insights.
ADVANTAGE
DEEPER INSIGHTS
The ability to analyze big data leads to a better understanding of customer behavior and market conditions.
ADVANTAGE
PERSONALIZATION
Companies can personalize offers and services, resulting in increased customer satisfaction and loyalty.
ADVANTAGE
OPTIMIZATION
Leveraging big data helps predict demand trends and optimize inventory and supply chains.
ADVANTAGE
STRENGTHEN BRAND
Through data-driven strategies, companies can differentiate themselves from the competition and strengthen their market position.
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.
Datafield 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 and 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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