Data-Driven Services
Understand your data better, make better decisions and get to know your customers and consumers
Consulting, Training, Implementation, Infrastructure
— Partnership


Data Catalog
Lets business users explore and use their organisation’s data consistently, through automated processes that remove the heavy lifting and connect information with the right business context.
Data Quality
Analyse and improve data quality across your company with advanced dashboards that measure data quality along four dimensions: completeness, format, consistency and compliance with business rules.

Self-Service Data
Data democratisation is key to giving business units autonomy. Provide simple tools so that users can take part in analysing the data of their own unit.
Data Analytics
Data analytics can help your business with fraud detection, campaign analysis, regulatory compliance, internal audit processes, sales commission calculation, pricing analysis and more.

Consulting
Data governance, data democratisation, data quality
Training
Extraction (ETL), profiling, blending, analysis and predictive models
Implementation
Development of analytics workflows, geospatial, applications, integration
Infrastructure
Cloud and on-premises models, strategy for large data volumes
Why Ntasys
Success stories
Financial Report Generation and Reconciliation

Challenge
Every day, Aliseda compiled sales data from all channels, reconciled it with its various management systems, calculated sales commissions and published the figures in a financial report for the management committee.
This task took two people six hours a day: resolving issues caused by data mismatches, reconciling the figures obtained from the legacy systems and preparing the report.

Solution
NTASYS built the data analytics workflow using Lavastorm as the data analytics tool. Taking advantage of its easy access to multiple data sources, we automated data capture from the different sales channels, as well as access to the legacy systems for the reconciliations required before publishing the data.
The whole process now runs in 20 minutes, meeting the control and issue-reporting requirements for the data captured from the sales channels.
The reduction in staff hours meant considerable savings for the Finance department.


Success stories
Data Quality Measurement and Monitoring

Challenge
Aliseda needed to improve data quality across its legacy systems:
its ERP and its sales system. In addition, the different sales channels (real estate agents’ websites, general property portals, etc.) sent daily tracking data on the properties that was sometimes incorrect or out of date.
Improving data quality was a strategic project, as it affected the measurement and monitoring of service level agreements and business performance indicators.

Solution
NTASYS designed a complete data analytics system that applies quality rules along three dimensions: completeness, format and business. All rules were classified as library nodes, making them easy to reuse and maintain.
The quality results and issues were published, with each issue linked to the specific records affected.

Success stories
Street Directory Normalisation and Master Address File Generation

Challenge
Telefónica wanted a system to maintain its master address file and encode the addresses so that applications could use them later.

Solution
Ntasys developed a data analytics workflow that prepares the master address file normalised against the Spanish National Statistics Institute (INE) and also normalises addresses captured by applications according to the master file’s encoding.


Success stories
Production Quality Measurement and Monitoring

Challenge
Santalucía needed to measure the quality of its production in order to improve its marketing and operations processes.
Several approaches were considered, knowing that the project would require continuous analysis (changing business rules, widening the scope of the analysis, breaking it down along different dimensions, etc.) until valuable business information emerged: data insight.

Solution
NTASYS proposed Lavastorm as the corporate data analytics tool. Lavastorm lets you add business rules dynamically at any time and at any point in the analytics workflow. The results were very satisfactory, yielding clear and precise conclusions on how to improve production quality.
The results were published in Excel and shared with the different business areas.


Contact
Ntasys
Calle del Viento 12, 28760 Tres Cantos (Madrid), Spain
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