Unicks - App Connector

Data Quality

Get the most out of your data

Ensure the quality of the data you use to support your communications and ensure that personalized messages are correct and that deliveries are made smoothly.

Unicks - App Connector

Reduce costs
with errors

Prevent and significantly reduce costs related to errors in communication with your customers.

Examples of these errors are:


Returned letters: costs of production, shipping, handling of returned mail.


Undelivered emails or SMS: opportunity cost of non-delivery.


Content with wrong variable data: image/reputation cost associated with incorrect data.


Incorrect Segments: Opportunity cost of not sending the right message to the ideal customer at a given time.

O que pode fazer com o app connector

Validate and complete the data you have

Data Quality analyzes your databases, allowing you to identify errors and opportunities for improvement in your processes.

This tool also makes it possible to identify the possibility of crossing external data sources, enriching the data and generating information of great potential:


Validation of standard data from public algorithms (eg validation of VATs, validation of postal code, etc.)


Validation of customer-specific data from private algorithms.


Logical validations (blank fields, sums, duplicates,…).

How does a Data Quality process work?

1. Collection of requirements

Together with the client, we clearly define the purpose of the analysis or process, in order to identify the requirements that must be met by the data.

2. Identification of the data profile

We carefully examine the following aspects of the data: format, patterns, record consistency, value distributions and outliers, and whether records are complete.

3. Identification of associated flows

We identify the intended use of the data, in which tools, which crossings will exist, and which are the associated update processes.

4. Implementation

In addition to creating rules and validations in accordance with the information collected in the previous steps, we ensure:


The integrity

The use of primary and foreign keys plays a crucial role in relational databases. In situations of multiple unrelated systems, we ensure the existence of validation conditions associated with each field (check constraint) and the use of mechanisms triggered by specific actions (triggers).


The traceability

Whenever a problem is detected in a log, we guarantee that it is possible to quickly identify its origin and correct it.


The completeness

If necessary, the process may include cross-referencing with external data sources, enriching the data and generating information of great potential.

Integrations that take you even further

By investing in customer communication, we want you to get the most out of each record and that’s why we advise you to apply Data Quality models to data files before applying them to templates.

The existence of a data quality assessment process is essential both to allow cross-referencing of different sources (standardization of expressions) and to ensure that analyzes and segmentations are rigorous (identification of invalids or duplicates).

Even in a simple database, a process of this type makes it possible to find outliers, duplicate records, information gaps or inconsistencies. They may seem like details, but they can have a big impact on the final result.

O que pode fazer com o app connector

Solutions you can build with this block

Production and multichannel dispatch

From data conversion to customer communication delivery, either by physical or digital channels

Documents Management

Forget your physical mailbox, we organize and forward all your mail digitally.

Let’s streamline your customer communications?