Super master data: 1-class validation for top DQM!
We check your data, remove duplicates from your database, update outdated entries and enrich them with missing information.
With up-to-date and correct master data, you minimize wastage, improve the data basis for your business decisions and increase your efficiency.
The solution: Clean master data
Invalid, incomplete or outdated address data can lead to considerable problems:
Missed sales due to incorrect contact data.
Inefficient campaigns, as wastage ties up unnecessary resources.
Cost trap due to inefficient processes and returns.
Our solution: Systematic cleansing and enrichment of your B2B database so that you can generate targeted leads and make optimum use of resources.
Our services - data validation at the highest level
Step 1 - Data audit
Clarity about your data quality
Up-to-dateness of the data records
Completeness of the information
Structure and plausibility
Historical and incorrect data
Result: You receive a clear overview of the status of your data and a recommendation for action to optimize it.
Step 2 - Cleanup
Create consistency
During the initial cleanup, duplicates are cleansed, negative and blocked addresses are marked and the master data is updated.
Effect: Streamlined database, greater efficiency and less work.
Duplicate data records lead to chaos and cost money. Our duplicate check identifies and removes them – precisely and reliably.
Step 3 - Data enrichment
Business Insights
Add valuable information to your database: Industry affiliation, employee numbers and more.
Your advantage: target group-specific approach, personalized campaigns and well-founded decisions.
Why act now? The consequences of outdated data
Outdated B2B data causes high losses every year:
- Undeliverable mailings
- Incorrect telephone numbers that make acquisition more difficult
- Inefficient processes cost time and money
Our reference database ensures that your data is correct, complete and up-to-date.
More details and background information
Reference database
Our reference database consists of approx. 5.5 million companies and tradespeople, NGOs and authorities from Germany and Austria.
Over 12.5 million addresses are historical data used to validate customer data.
Thanks to historization in our reference database, even older data records can be correctly identified and later enriched with current information.
In order to update your customer database as comprehensively as possible, we rely on a solid Creditreform database and supplement this with data from partnerships and web crawling.
Annual changes
A lot of company information changes every year: Reorganizations, changes in legal form, business closures or relocations quickly render existing data unusable.
The consequences of outdated data are:
- Scatter loss: Customers cannot be reached.
- Unnecessary costs: Returned mailings and unsuccessful contact attempts cause avoidable costs.
- Inefficient processes: Outdated data complicates business processes.
Regular updates of your address data ensure data quality and help you to respond better to market changes.
6 Criteria for data quality
The quality of your data significantly influences the accuracy of your marketing strategies and the effectiveness of your business decisions.
Here are six essential criteria to help you assess your data quality.
Customer case
Our client has collected numerous address data in the B2B and B2C sectors over decades. The focus was not on master data maintenance. There was a lack of automated data cleansing and duplicate checking.
This led to problems with accessibility and the delivery of important mail.
The reason for the strategic decision to scrutinize the company’s own database was the introduction of a new ERP system. 240,000 addresses were distributed decentrally across various departments and not separated into B2B and B2C.
Customer requirements
Clear identification of private and company addresses
Separation of billing and delivery addresses
Enrichment with additional features, including geodetic height above sea level
Address verification and updating
Database free of duplicates
Experience and expertise of two service providers from a single source
Together with a specialist for consumer data, we created a solution that covers both the B2B and B2C address databases. The beDirect team was responsible for project management and the corresponding contract management.
Data audit
First of all, a data audit was carried out, which provided information on the quality of the database in terms of up-to-dateness, deliverability and possible additional features. This formed the basis for discussing the objectives and framework conditions of the master data project.
The entire database was handed over to beDirect as project manager, which carried out a comparison against the B2B reference database with 18 million business data. This revealed that some of the addresses marked as private concealed companies and that many addresses had been relocated, renamed, deleted or declared bankrupt.
The rest of the database was checked against our partner’s consumer address database, which revealed incorrect formatting and addresses, relocations and undeliverable or deceased persons. The high number of duplicates was striking.
The data cleansing and enrichment of almost 80,000 B2B addresses and around 160,000 B2C addresses was initiated and the results delivered back to the customer from a single source.
Both databases were enriched with geodetic height above sea level information on request. This information describes the altitude of cities and towns in meters above sea level and is a relevant detail for our client’s business activities.
Our customer had numerous invoice and delivery addresses that had previously been created in one data record. In order to identify these addresses, beDirect developed its own logic to generate two data records from one. In over 1,000 cases, two different data records were identified in the B2B area.
Thanks to the extensive data cleansing and duplicate checking measures, our customer was able to significantly improve the quality of its master data. Duplicates were identified and duplicates removed.
The address validation and address check ensures that the customer now benefits from a clean and up-to-date database.
Thanks to the extensive data cleansing and duplicate checking measures, our customer was able to significantly improve the quality of its master data. Duplicates were identified and duplicates removed.
The address validation and address check ensures that the customer now benefits from a clean and up-to-date database.
Clear allocation to the categories companies and private individuals
Demand-oriented determination of conditions and additional income
Merging of duplicates
Avoidance of multiple applications
Identification of 4,400 defunct and insolvent companies and 7,400 addresses to which either service is not possible or to which deceased persons have already been listed
Cost savings
Restoring the accessibility of 7,600 historical B2B addresses and 3,800 private relocations
Customer reactivation
Further customized address services
Company addresses
Select new customers online and download them directly. Find the right target group in < encoded_tag_closed >5.5 million addresses from Germany and Austria.
Verify
The user’s registration data is verified in real time during the ordering process.
CRM integration
Update, cleanse and maintain customer data in your own CRM.
Automated address creation saves time and avoids errors.
