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TOP 10: Best practice for data migration

Migrating data from multiple sources into a new information management system is a complex and often headache-inducing undertaking. Data from different storage areas – both on-premises and in the cloud – must be evaluated, analyzed, cleansed and organized before it can be combined and matched. Not to mention the new rules, responsibilities and practices that staff must adhere to. However, it doesn’t have to be as hard as you might think to overcome these challenges and successfully migrate your data.


Lost in Translation: TOLERANT in Tokyo

TOLERANT Software has been active on the Asian market since 2014. Coupled with this are many visits to Tokyo by management and consultants. While the movie shows a rather gloomy, melancholic picture of Tokyo, our experiences at TOLERANT are completely different.


PSEUDONYMIZATION – What is it really?

Summer is coming to an end and many a person is thinking about how they can soon soak up some sun again in autumn or winter. A quick visit to the travel agency and you’re ready to go. But not for the travel agency – because who thinks about dates when there are palm trees and sunshine? A customer usually less so, but the travel agency now has some formalities and work processes ahead of it. After all, some data comes together when you have to organize a trip and settle the commission with the travel provider.


A holistic customer image only succeeds without duplicates

When it comes to duplicates, many spontaneously think of duplicate cover letters. But that is only one side of the coin. Clear customer data is much more important as a basis for decisions and processes. For example, for reliable risk management, for ABC classification of customers and for a 360-degree view, there should be no duplicates in your inventory, otherwise the data basis is falsified.


Data quality as the basis for digital transformation

The digital transformation is in full swing. It brings great benefits, but also challenges. More and more data is being collected, processed and used for analysis. To ensure that these huge datasets actually provide useful information for your company, the quality of the data is a crucial success factor.


European GDPR: What you need to watch out for

Read more about how you can use TOLERANT Marketing Permission Management to reliably record your customers’ consent from all touchpoints and prove it at any time.


Data migration as an opportunity

Do you remember your last move? It’s often only when you’re packing boxes that you realize how many things you’ve collected over time that you no longer need. If you plan and prepare your move accordingly, you can sort out the unnecessary and pack important things in a targeted manner so that everything is in the right place at the end.


Sustainably improved data quality

The quality of your data is fundamental to many areas of your business. That’s why it’s important to continuously monitor and, if necessary, improve data quality. This so-called DQ issue management works smoothly if a corresponding process is professionally designed, set up and executed.


Imperative and freestyle in marketing

At the heart of marketing is communication between providers of services or products and their potential customers. For personal dialogue with customers via digital channels, customer data plays the central role. To ensure that advertising messages reach the right recipient and that a good impression is made on the recipient through a personal, correct address, the data quality must be of a correspondingly high quality.


Clear-sightedness instead of flying blind

The TOLERANT company search with auto-completion helps you to find customers quickly, save up to 90% time in data entry and improve forecasting and controlling in sales at the same time.


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