Tag: Data quality - Page 1

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Migrating data from multiple sources into a new information management system is a complex and often headache-inducing undertaking. Data migration is usually necessary to keep pace with technological advances and industry standards, but it requires a great deal of effort. 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.

Data quality products from TOLERANT Software tap the full potential of CRM systems, making AI and business intelligence applications possible in the first place.

BI-Spektrum spoke with Jörg Vogler, CEO of TOLERANT Software, about how data can be collected and maintained qualitatively so that it can be used well for analytics and artificial intelligence, as well as about what some US companies have ahead of the local ones.

The migration of on-prem data to the cloud offers the opportunity to systematically cleanse and reprocess data and, if necessary, enrich it with external data. Therefore, it is important to plan the data migration at an early stage and to execute it properly. This way, legacy data can be sorted out in a targeted manner and all important data can be completely merged.

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.

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.

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.

The latest extension of TOLERANT Post helps companies with location planning, target group and potential analysis. To do this, TOLERANT Post uses CAMEO data that uniquely classifies consumers based on their stage of life and wealth, across Europe.

In CRM systems, clerks handle many processes every day where the data of new customers needs to be entered. To map this quickly and effectively, TOLERANT products offer a mode for fast data entry.

Entries on the DDV Robinson list, Number of selection groups in CAMEO data by social strata, financial strength and life stage…