Data Management: Turning Information into Real Advantages
Data forms the foundation of your business operations. We ensure that it is available in a structured, reliable manner across all systems.
Lots of data. Lots of systems. But no overall picture.
Customer data in the CRM, order information in the ERP, service data in other applications—plus Excel spreadsheets, portals, and custom systems. The problem is often not a lack of data; it is simply that the data is not available where it is needed.
Professional data management creates a reliable data foundation: information is structured, systems are connected, and data is made available where it is needed in day-to-day operations.
Data management connects what belongs together.
Effective data management creates a consistent foundation across various systems and processes. It involves far more than just customer data in the CRM; information from ERP, service, marketing, portals, and custom applications must also work together.
This transforms individual pieces of information into a usable, comprehensive picture.
Making the right decisions through professional data management
Duplicate entries, outdated contact details, missing information, or inconsistent data rarely go without consequences. They complicate workflows, skew analyses, and hinder automation.
Data quality fosters reliability. Standardized structures, clear rules, and continuous data maintenance ensure that employees, reports, and systems all operate based on the same robust foundation. This becomes even more critical with AI, as even the best technology can only deliver useful results if the underlying data is accurate.
Data Integration: Breaking Down Data Silos and Connecting Systems
When systems such as CRM, ERP, service platforms, marketing automation tools, or custom applications operate in isolation, data silos emerge. Information must be maintained in multiple places, data sets diverge, and important connections remain hidden.
Modern data management connects this information. Through interfaces and integrations, data can be made available across systems and processes interlinked—without the need to unnecessarily replace existing systems.
This transforms individual data sources into an interconnected information foundation that sales, service, and other departments can genuinely utilize.
Are your CRM requirements increasing? No problem!
Our solutions are scalable, updatable, and designed with foresight. Contact our experts if you have any questions. We're happy to help.
Frank Tjaben
Head of Marketing & Sales
frank.tjaben@login-software.net
Tel.: +49 89 2020447 25
login-software.net
Michael Ruzek
Managing Director
michael.ruzek@login-software.net
Tel.: +43 1 5865897 12
Florian Ruzek
Head of Operations
florian.ruzek@login-software.net
Tel.: +43 664 82025 00
Data Management: Leveraging Information Instead of Just Managing It
A reliable and interconnected data foundation creates the prerequisites for truly leveraging information within the company—leading to better decisions and more efficient processes.
Data management with login: Your systems. Your data. A solution that fits.
No two system landscapes are alike. That is why we do not rely on a one-size-fits-all solution; instead, we examine how your existing data, systems, and processes work together.
Together, we develop a data architecture tailored to your requirements—covering everything from analysis and data quality to integration and automation
The technological foundation: SugarAI
Login Software: Our customers
Frequently Asked Questions About Data Management
Which data sources can be integrated into a data management system?
In principle, data from various systems can be consolidated—for example, from CRM and ERP systems, marketing and service applications, portals, databases, or custom solutions. Which sources are best to integrate depends on your system landscape and the specific use case.
Does a new system need to be introduced for modern data management?
Not necessarily. Often, the most sensible solution is to better interconnect existing systems and optimize current data structures. What matters is not the number of systems in use, but rather the ability to reliably exchange and utilize relevant data between them.
Can data management also be implemented using existing systems?
Yes. Existing CRM, ERP, and other enterprise systems can be connected via interfaces and integrations. Both standard interfaces and custom integrations can be used for this purpose.
How does a data management project start?
The process begins with an analysis of the existing data and system landscape. This involves examining what data is available, where it originates, how it is currently used, and where breaks in information or processes occur. From this, concrete requirements and logical next steps can be derived.
Is data management also suitable for bespoke or organically evolved system landscapes?
It is precisely in such contexts that structured data management can be particularly relevant. Bespoke applications, diverse data sources, and legacy systems do not necessarily have to be replaced; they can be integrated into a comprehensive solution using suitable interfaces and data structures.