Nfq closes a collaboration agreement with REGIS-TR, the main European trade repository. Nfq closes a...
Data Strategy [EN]
Data Strategy.
01
Services
02
Our Approach
03
References
04
Insights
We help create organizations with a Data Centric vision
Digital transformation processes and the emergence of new technologies allow companies to increase the value of data, but to exploit its true potential, a holistic strategy is needed that covers the entire data life cycle, as well as its infrastructure and management change.
How do we help our clients?
End-to-end solutions in strategy and data management models for banking, financial, insurance and industrial entities, aimed at generating and aligning information and embedding the value of the data in the business itself (products, processes, services and operations). We turn data into key assets for decision making in an organization.
Estrategy
Data Value Extraction
Estrategy
Data Strategy
Definition of programs and strategic plans around data, where we help our clients define the strategy to follow in the short and medium term, providing a 360 view of all data services and our accelerators
Data Visualization
Design of data models oriented towards exploitation, putting the User's vision at the center.
- Specialized training and self-consumption capabilities
- Operational reporting to respond to near real-time requirements
- Experience in design and construction for the main regulatory regulations of both the financial and insurance sectors (IFRS Regulations, Solvency II, PCEA, etc.)
Advanced Analytics
Analytical techniques and methods that allow better predictive analysis, and provide information on change, giving a broader vision to organizations to develop more precise responses and plans, making organizational management more efficient.
- Data Mining, Machine Learning, Deep Learning
360º Data Management
Data Visualization
Design of data models oriented towards exploitation, putting the User's vision at the center.
- Specialized training and self-consumption capabilities
- Operational reporting to respond to near real-time requirements
- Experience in design and construction for the main regulatory regulations of both the financial and insurance sectors (IFRS Regulations, Solvency II, PCEA, etc.)
Advanced Analytics
Analytical techniques and methods that allow better predictive analysis, and provide information on change, giving a broader vision to organizations to develop more precise responses and plans, making organizational management more efficient.
- Data Mining, Machine Learning, Deep Learning
360º Data Management
Data Governance
Own methodology both for the definition and implementation of data governance frameworks (organizational, operational and technological model), as well as for the selection and implementation of specialized tools, based on the dissemination of data culture. Strategic vision aimed at embedding Data Management in the day to day, combined with a tactical approach to generate impact in the short term.
Data Quality
End-to-end quality management, meeting the requirements of data consumers and oriented towards continuous improvement. We start from a diagnosis based on analysis and data profiling in 2 phases
- Measurement, calculation of Key Quality Indicators, interpretation and activation of decision-making flows
- Correction, through the identification and prioritization of data quality issues, designing remediation and monitoring plans.
Master Data Management
Differential knowledge in definition and implementation of single vision strategies for Clients and related master data. Based on a proven analysis methodology that is complemented by extensive experience in the selection, implementation and integration of leading MDM tools in the market.
Data Integration
We have extensive experience in data migration, integration and consolidation projects, in different corporate environments and with the leading technological tools on the market. We cover a wide portfolio of services, such as the capture from external data sources (structured and unstructured), design and construction of corporate Datawarehouse, third-party software integration, data sharing between applications, data archiving and historification, as well as solutions for monitoring and maintenance operational processes.
Big Data & Cloud Architecture
We design and develop the strategic architecture, based on layers and principles, that will respond to the complete life cycle of the data and its different nature: from the capture in the operational systems and the processing in the information field, to the exploitation and advanced consumption of data. , covering batch and real-time requirements, providing robustness, agility, interoperability and scalability through Big Data architectures. We have extensive experience in on-premise, cloud-native and hybrid models, as well as management of coexistence plans and migrations.
Our Approach.
End to End Model
Our experience in the design and implementation of data governance programs has allowed us to design our own framework, based on DAMA. It contemplates the complete life cycle of the data, and incorporates the best practices for data management.
Key facts
- Partnerships with SW manufacturers
- Experience with the main tools
- Comprehensive view of Data Governance, Data Discovery, Data Profiling and Data Quality tools
- Specialist team in implementations in multinationals. (Require coordination with Head Office)
Experiences and capabilities
- Start-up of the data governance office
- Definition of theoretical model (organizational, operational and technological model)
- Implementation of use cases
- Installation and parameterization of the tools
- Training and change management
- Tool Selection Benchmark
Training and Certifications
Experience in implementation and certified team in the three main government tools:
- Informatica: Axon + EDC + IDQ
- IBM: IGC + Analyzer + IDA
- Collibra
Key facts
- Partnerships with SW manufacturers
- Experience with the main tools
- Comprehensive view of Data Governance, Data Discovery, Data Profiling and Data Quality tools
- Specialist team in implementations in multinationals. (Require coordination with Head Office)
Experiences and capabilities
- Start-up of the data governance office
- Definition of theoretical model (organizational, operational and technological model)
- Implementation of use cases
- Installation and parameterization of the tools
- Training and change management
- Tool Selection Benchmark
Training and Certifications
Experience in implementation and certified team in the three main government tools:
- Informatica: Axon + EDC + IDQ
- IBM: IGC + Analyzer + IDA
- Collibra
References.
Insights.
Final Draft Consolidated RTS for the Sustainable Finance Disclosure Regulation (SFDR)
Objective and ContextOn 22 October 2021, the European Supervisory Authority (ESA) published Regulatory Technical Standards...
El BCE evalúa los riesgos climáticos y medioambientales de las principales entidades de crédito en Europa
Objective and Context ???? On 22 October 2021, the European Supervisory Authority (ESA) published Regulatory...
New amendments to the rules on capital requirements for credit institutions
Context On 27 October the European Commission published the two proposals to amend Regulation 575/2013...
Tomás Conde joins our Sustainable Finance & ESG area
Tomás Conde, one of the most prominent professionals in our country in Sustainable Finance joins...
Tomás Conde joins our Sustainable Finance & ESG area
Tomás Conde, one of the most prominent professionals in our country in Sustainable Finance joins...
New global partnership: Finastra
We are proud to announce our new collaboration agreement with Finastra, which allows us to...
