Data experts on subscription

Our specialists will implement a structured ETL process—that is, sequentially extracting data (Extract), transforming it (Transform), and loading it into the warehouse (Load). The data warehouse will serve as a single source of verified data for the organization. This enables the creation of a system for reporting and presenting information from multiple sources. A data warehouse ensures durability, security, and easy access to data. QBICO specialists will fully customize it to your needs and expectations. After implementing the solution, we will ensure the proper ongoing operation of the data warehouse.

We will create automated mechanisms that, based on your requirements, will process historical datasets, for example, eliminating duplicates, test data, errors, and inconsistencies, and will establish or correct their structure. The result is a dataset in which the data is:

We will use standard identifiers or create new ones to enable data integration and full utilization for reporting purposes. Ongoing verification of the accuracy of the retrieved data will ensure the consistency of the generated reports.

regardless of the analyzed cross-sections, business activities, business lines, or departments. A single source of reliable data will save the time needed to reconcile information presented in different perspectives.

As part of the package, we provide solutions that continuously test the content and operation of the data warehouse in the face of, for example, its expansion or changes in the scope of data collected. The results of automated tests can be reported via any channel (email, SMS, instant messenger, etc.). You no longer have to worry about data quality and reliability, the risk of human error, or operational continuity.

We will also automate their distribution—for example, via email or publication on a website. This solution will eliminate the need to perform repetitive tasks such as periodically contacting various departments within the organization to obtain data, and then compiling it into reports that are distributed with varying levels of detail. This results in:

• reduced labor costs,
• guaranteed timeliness of report delivery,
• and a reduction in errors resulting from manual data processing.

They serve as a common data source for all systems used within the company. In consultation with you, we will develop a Master Data system concept. As part of this work, we will define and implement a canonical data model to ensure efficient information exchange within the organization. In the next stage, we will define and implement a golden record structure for each data domain. We will also provide support for the expansion of existing Master Data systems and deliver solutions that ensure the ongoing integrity of data storage.

This approach will eliminate the need to reconcile data from different sources resulting, for example, from inconsistencies in naming conventions. We will ensure data consistency and high quality, as well as effective change management. This will prevent data redundancy and inconsistencies and reduce the time required for data processing.

This also includes the preparation of summary dashboards presenting data from various analytical reports. This will ensure optimized workflow and quick access to key information. Business decisions will be made based on data from multiple areas, enabling you to better understand the processes taking place both within your organization and in its environment. As a result, the likelihood of the company’s success will increase.

Anonymization will improve your security and protect your privacy. It may be a requirement under the GDPR when data that allows for the identification of a specific individual must be deleted after the legally permitted retention period has expired. It is used, among other things, to enable the use of real-world data—for example, for training purposes.