80 % of the time in a data-driven project is spent on cleaning, debugging and correcting the data. datasets starting point. At GesvaltData we know that data quality is the basis for any analysis, model or artificial intelligence system to provide reliable results.

We have the expertise and products to: geolocate records, identify and eliminate duplicates, enrich datasetsand check their quality with external sources such as the Cadastre, BORME, Land Registry or INE.

In short, we debug, validate and enrich your databases to optimise any project where data is key.
Our products of Data Quality are flexible and can be integrated via API with your systems. If you prefer, you can use our SaaS or rely on our consulting and processing teams.

What is Data Quality and why is it key to your business?

The importance of reliable, complete and up-to-date data

Incomplete, duplicate or incorrect data leads to costly errors and wrong decisions. Clean databases ensure that the information you work with is representative and accurate.

Direct impact on decision making, automation and personalisation

Data quality is the engine that powers CRM, predictive analytics, AI models and marketing strategies. Reliable data allows you to automate processes and personalise customer relationships effectively.

What Data Quality solutions does Gesvalt offer?

Standardisation and deduplication of databases to ensure consistency and uniqueness

We standardise formats, resolve inconsistencies and eliminate duplicate records to work with a single reliable repository.

Postal address validation and precise geocoding

We correct and verify addresses, adding accurate coordinates for geospatial analysis and Location Intelligence.

Enrichment with external variables

We add additional information such as income, age, type of housing, points of interest or presence of competition in the area.

Integration with public and private sources

Cadastre, INE, BORME, mobility data, socio-demographic records and Gesvalt's internal sources with more than 30 years of field work.

Semantic preparation for LLM models

We structure and clean data so that it can be used by conversational assistants and generative artificial intelligence.

What are the benefits of working with clean and enriched data?

Reduction of errors and operational costs

Fewer input errors and less rework in critical processes.

Improved segmentation, scoring and personalisation of campaigns

More complete data allows for more refined strategies and better ROI in marketing and sales.

Process acceleration and reliable predictive analytics

Quality data feeds more accurate models and reduces analysis times.

What is the data cleaning and validation process like?

Initial diagnosis and quality analysis

Audit to identify errors, information gaps and areas for improvement.

Cleaning, standardisation and verification

We apply normalisation rules, validate against official sources and correct inconsistencies.

Enrichment, integration and delivery in a compatible format

We incorporate additional data and deliver it in CSV, Excel, JSON or integrated via API.

Continuous monitoring of data quality

We establish automatic review and update processes to maintain quality over time.

Why choose Gesvalt as your partner in Data Quality?

Specialised data intelligence team

We combine analysts, data experts and knowledge of real estate and corporate business.

Processes auditable and aligned with GDPR and ISO

We comply with data protection regulations and recognised quality standards.

Total adaptation to the sector and the client's needs

We offer ad hoc solutions for every industry, from proptech and banking to marketing or consulting.

Request a quality audit of your data

Request an evaluation of your database

We analyse the state of your information and propose concrete improvements.

We help you exploit the real value of your data

With clean, updated and enriched data, your decisions will be faster and more accurate.

Frequently Asked Questions on Data Quality and Data Enrichment

What data can be enriched by external sources?

Any record containing location, identification or attribute fields can be enriched with official or private data.

What formats are used for data delivery?

CSV, Excel, JSON or direct integration via API into your system.

Can I integrate rich data with my CRM?

Yes, we adapt formats and APIs for compatibility with CRMs and ERPs.

What is the recommended update frequency?

It depends on usage, but a monthly or quarterly review is typical for dynamic environments.

Data Quality and Data Enrichment Solutions for your company