Data Quality

Measurable benefits from reliable data

Read the case studies

Every action your company takes generates data. Your vast informational assets can be transformed into valuable insights capable of driving forward-thinking, data-driven business decisions. To make this possible, you need data that is accurate and reliable, achieved through Data Quality processes designed to ensure the integrity of every piece of information.

The certainty of information is crucial for making effective decisions. That’s why we offer our expertise in implementing impactful and effective Data Quality projects that address every phase of the data lifecycle.

The results of Data Quality

Resource savings
A database made of correct, clean data, and free from redundancies will allow you to optimize operational and infrastructural resources.
Accurate reporting
You will obtain consistently accurate reporting, with a complete view of the informational assets needed to ensure full compliance with regulations like GDPR.
Reliable analysis
You will use truly reliable analysis for business decisions, derived from always correct and complete data.
High reputation
You will leverage relevant information and targeted marketing initiatives to increase trust among customers, prospects, partners, and suppliers. By relying on quality data, your reputation will reach new heights.

Success Stories

Discover some of our projects

Fashion

Harmonized business processes, reliable data, and customer centricity.

Solution: We met the need for customer information structuring from the Global Head of CRM and the IT department, laying the groundwork for the development of a data quality project that not only keeps pace with business growth but also supports it.

Results: A unique and standardized customer database that centralizes company information flows and utilizes the Data Quality engine. The deduplication of customer profiles and information certification enable precise identification and a personalized customer experience.

Banking

Data Quality for Banking

Solution: After the development and execution phase of the controls, we followed up with a review of the results obtained and requested corrective action from the respective Data Owners on the incomplete and incorrect data.

Results: A centralized model with a single dashboard to consolidate all internal Data Quality processes and generate customized reports.