data governance
In data governance, we cover the following areas
We help both companies that want to start with Data Governance to become a "Data Driven Company", as well as companies that are already in advanced stages of data maturity.
Startup
- Audits: Identification of the degree of data maturity in the organization according to UNE.
- Maps: Elaboration of data maps and information flows between systems.
- IA: Identification of the organization's state of maturity in AI adoption.
Quality
- Data profiling: Data analysis to identify quality problems, such as duplicate, incomplete or incorrect data.
- Data Cleansing: Design and execution of data cleansing processes to correct errors and ensure data accuracy.
- Quality: Establishment of quality metrics, tools and initial collection of quality indicator values.
Policies
- Establishment of policies: Definition of policies and standards for the creation and maintenance of metadata.
- Ethics: Definition of the framework of rules and policies to ensure that corporate ethics are complied with in the IA models.
- Methodologies: Adaptation of the client's methodology used to ensure that data and metadata do not deteriorate over time, and that there is no loss of productivity.
Metadata
- Data cataloging: Creation of technical and business dictionaries on the company's information assets.
- Metadata management: Establishment of a system for centralized metadata management.
- Data lineage: Identification of data lineage, to follow the path of a data from its origin to its destination.
- Data traceability: Ensure that the results of AI models are traceable.
Data
- Master Data: Identification and creation of master tables where the reference records to be used by the entire organization will be composed.
- Data architecture: Definition of data architectures that allow the assurance of data in all its axes.
Start governing your data
Govern your data with AI
with confidence and compliance
Establish clear policies, ensure traceability and ensure ethical use of AI. With visibility into data, decision makers and deployed solutions, you can comply with evolving regulations and make sound, scalable decisions.
Download the Roadmap and discover how the integration of Bidatia's DLP with the Governance ensures proactive protection and regulatory compliance (GDPR/LOPD).
The risk of data leakage is a constant threat today. The simple implementation of DLP tools is not enough if they are not guided by clear policies of Data Governance. This eBook provides you with a unified strategy to correctly classify your critical assets, define usage policies, and apply DLP technologies intelligently, ensuring the traceability, confidentiality and access control at the strategic level.
Move from reactive to full data loss prevention.
7 steps to maximize value
Maximizing data value
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Data structure design
Easily search and find data
Enriches with business context
Apply business rules and policies
Increase data visibility with quality.
Data value automation
Reliable and widely accessible data
Our commitment to Erwin by Quest
Data Modeling
Approach from the model to Data Markeplace for products and datasets
Data Marketplace
Portal of self-service for users corporate, customers, share y compare sets of data at format Store. Includes scoring of dataset automatic and management of orders.
Data Quality
Profiling y observability from data after AI.
Governance Mind Map
360º view of the dataset, from the products from data and of the models of AI.
AI Governance
Approach guided by the models with focus at the monitoring y observability from data. Certification set of data for each target of the organization
Extended Quest Capabilities
Toad for manipulation from data, Foglight for monitoring of the databases, SharePlex for replication from data.
In the Data Economy, lack of quality, traceability and protection costs fortunes and slows down Artificial Intelligence. If you can't trust the source of your figures or their continuity, your analysis is just a risky guess.
This eBook provides you with the Roadmap based on DAMA for model correctly your information, guarantee its quality in real time and establish the control (Governance) necessary for its protection and resilience.
Take your data to another level
We help you implement AI solutions, data governance and cloud architectures to scale your business securely and efficiently.
Complete the form and connect with our team. We help you develop solutions in data, artificial intelligence, automation, cloud and much more. We are ready to accompany you in every step of your technology strategy.
