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Data management

Data management helps to keep all company data organized, enabling optimal strategic analysis.

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What is
Data management?

Data Management technology allows the data of any company to be organized, protected and stored, enabling optimal strategic analysis.

Data management tools

The design of the data structure and its relationships is 100% customizable, through a graphical interface that does not require knowledge of SQL database management. - AuraQuantic

Data structure

The design of the data structure and its relationships is 100% customizable, through a graphical interface that does not require knowledge of SQL database management.

The data from processes, applications and master data are structured in an SQL database that allows data to be imported and exported from any system and to any format, without having to write a single line of code. The business rule types are: textual, assignment, calculation and inference.

AuraQuantic’s Data Management technology includes a default data structure with various kinds of related data.

Master data

AuraQuantic’s Data Management technology includes a default data structure with various kinds of related data Including:

  • Employees
  • Accounts (customers, suppliers, collaborators…)
  • Areas / departments
  • Projects
  • Items
Unlimited creation of customizable records, according to the specific needs of each company. - AuraQuantic

Records

Unlimited creation of customizable records, according to the specific needs of each company.

This feature allows information to be found in a single location, known as a Single Source of Truth, making it easier to manage the data.

For example, during Case Management, although there may be several activities and documents related to a specific case, the record of each case gathers all the information in one single location.

The AuraQuantic Data Management System allows unstructured data and documents to be structured.

Unstructured data

The AuraQuantic Data Management System allows unstructured data and documents to be structured:

  • Using the email connector and separating attached documents, the message body, sender, and subject.
  • Assigning metadata to documents to structure them.
  • Using Artificial Intelligence services to apply optical character recognition (OCR) or extract labels from an image.
  • Extracting and managing data from an Excel or CSV file.

Why is Data management important?

Data management is one of the fundamental pillars of any company:

It increases visibility of
data assets.

It minimizes data and process duplication.

It uses authentication and encryption tools
for greater security.

It provides reliable
and 100% up-to-date data.

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