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From data quality to greater process reliability
TOLERANT productsData quality and compliance have long since ceased to be isolated IT issues for insurance companies. They influence virtually every business process – from customer onboarding and portfolio management to claims handling and regulatory audits. This was precisely the challenge our organisation faced.
TOLERANT Match 12.1 – Ready for modern cloud environments
EditorialTL Match 12.1 focuses on simpler deployment, enhanced security and more reliable operation in modern Docker, Kubernetes and cloud environments. This release is designed as a stable platform foundation for long-term production installations.
Why data cleansing has become strategically important
TOLERANT productsData quality has become a critical factor for efficient, reliable, and audit-ready compliance processes. In this podcast, executives and decision-makers will learn why data cleansing is no longer just an IT issue, but a strategic driver for risk reduction, operational efficiency, and lower compliance costs.
Transparency and Responsibility: Navigating Global Business with TL Sanction
EditorialIn this episode, Elena explores why sanctions and compliance have become critical priorities for modern businesses. From rising regulatory pressure to the risks of working with sanctioned individuals, companies, or regions, the discussion breaks down what organizations need to know to protect themselves.
TOLERANT Software in AUTOHAUS magazine
EditorialIn its latest issue, the trade magazine AUTOHAUS reports on the importance of data quality, data integration and intelligent data processing in the automotive trade. In the article “Informationen verknüpfen: Schluss mit Datenchaos” (Linking information: an end to data chaos), Stefan Sedlacek and Mihal Berberoglu explain why clean and linked data is now a key prerequisite for efficient processes, compliance requirements and the successful use of AI.
Between data quality and process intelligence – what we’re working on
EditorialOver the past two weeks, we haven’t just been ticking off tasks on our Jira boards – we’ve also been gathering insights. What questions drive us, how do we combine consultancy and technology, and how do we bring order to the growing streams of data? This editorial offers an insight into the key themes of the last 14 days and highlights what drives us as a company.
BPM ITEROP and TL Compliance Suite
TOLERANT productsIn many companies – particularly in the banking, insurance and financial sectors – two major challenges are currently at the forefront: on the one hand, business processes must become faster, more flexible and more digital. On the other hand, regulatory requirements, audit obligations and governance standards are constantly increasing. It is precisely at this intersection that an enormous strategic need arises. Processes must not only function efficiently, but must also be audit-proof, transparent and capable of withstanding regulatory scrutiny.
Maximum efficiency in customer data management: TOLERANT Match as the key to successful master data cleansing
Customers, Things to knowA successful master data cleansing process requires the implementation of effective methods that are both precise and efficient. TOLERANT Match serves as an indispensable tool to ensure a reliable and error-free data foundation.
The importance of duplicate data analysis: Optimise your address data for greater business efficiency
EditorialThe identification and analysis of duplicates in your address data is a critical step in ensuring data quality. A precise duplicate analysis reveals the number of duplicate records, their specific characteristics, and the potential impacts these may have on your business applications.
Modern address data validation: How to ensure the quality of your customer information using AI and machine learning
Customers, Things to knowModern techniques for validating address data are essential to ensure the quality and accuracy of your customer information. The continuous increase in data sources and the associated complexity necessitate innovative solutions to efficiently verify and validate address data. By employing cutting-edge technologies such as machine learning and AI-driven algorithms, companies can ensure that their address data is always up-to-date, complete, and consistent.