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Data governance
and cleansing
Working with uncontrolled data can lead to
decisions based on false positives
that deteriorate the business
Actionable data
With ORGANIZA, we offer a data cleaning and management service to help European SMEs and organizations use their information in a centralized, organized, and normalized way—preventing inconsistencies, outdated data, and formatting errors.
A flexible solution
designed to adapt
to your organization’s reality
1
We review with you the goals you want to achieve and the specific challenges you face, to understand your needs and personalize our service.
2
We analyze the data you want to process and, together with you, define quality and governance rules ( such as mandatory fields, valid values, formats, access permissions, user roles, ... ).
3
We develop the necessary tools for data governance.
4
We create and implement automated processes to clean, normalize, and organize data according to the defined rules.
5
We connect to the sources or systems through our server.
6
We provide the clean and organized data through an API so you can collect or download it.
∞
Need to monitor data and automate events?
Visit ACTIVA and discover how we can help you.
Visit ACTIVA and discover how we can help you.
Safety first
We understand data as an asset, which is why we process it on servers hosted by our provider within the European Union, which enhances solution efficiency, facilitates compliance with GDPR and current regulations, strengthens information protection and offers transparency.
Establish a shared vision
Align the information teams work with, to prevent different departments from having conflicting views of the same reality.
Normalize data
Simplify information usage by reducing errors and inconsistencies.
Establish access rules
Protect data integrity by preventing uncontrolled actions.
Work with reliable data
When data is uncontrolled, unstructured, outdated, uncertain, incomplete, or lacks uniformity, its practical use becomes difficult—slowing down workflows and limiting business opportunities.
Centralizing data management and governance allows you to work with more reliable information, improve data quality, deepen reporting, make better-informed decisions and avoid rework, because the entire organization has access to the same organized and consistent version of the facts.
Centralizing data management and governance allows you to work with more reliable information, improve data quality, deepen reporting, make better-informed decisions and avoid rework, because the entire organization has access to the same organized and consistent version of the facts.
Expand the scope
of the data-driven approach
We offer a network of services for data capture, integration, organization, automation, and visualization, designed for European SMEs and organizations that want to extract value and information from data, or integrate into the data economy.
ORGANIZA integrates seamlessly with our other solutions, creating a unified experience.
Explore our DX ecosystem and discover how we can help you.
ORGANIZA integrates seamlessly with our other solutions, creating a unified experience.
Explore our DX ecosystem and discover how we can help you.
Frequently Asked Questions
What is data?
Every action leaves a trace
A piece of data is an objective representation of a fact or a condition.
It can take various formats, such as a number, a word, a symbol, a record, or a bit.
On its own, it has no value and lacks complete meaning; it gains value when interpreted within a context and becomes significant when linked to a decision or action.
Putting data into context means relating it to other data, such as the environment, situation, or the moment in which it occurred.
The interpretation of contextualized data creates useful information that contributes to a broader and deeper vision of reality.
It can take various formats, such as a number, a word, a symbol, a record, or a bit.
On its own, it has no value and lacks complete meaning; it gains value when interpreted within a context and becomes significant when linked to a decision or action.
Putting data into context means relating it to other data, such as the environment, situation, or the moment in which it occurred.
The interpretation of contextualized data creates useful information that contributes to a broader and deeper vision of reality.
What is a data source?
A data source is any location, system, medium, or resource from which data originates and is collected.
It can take various formats, such as a database, software, a form, a file, an API, a sensor, an IoT device or a digitized physical document.
It can take various formats, such as a database, software, a form, a file, an API, a sensor, an IoT device or a digitized physical document.
What is data governance?
Data governance is the framework that defines how to manage data.
It means establishing a system of policies, processes, standards and roles, for the quality, security, availability, integrity and usability of data.
It means establishing a system of policies, processes, standards and roles, for the quality, security, availability, integrity and usability of data.
What does data cleaning mean?
Cleaning data means reviewing, correcting and removing incorrect, incomplete, corrupted, poorly formatted or duplicated information within a dataset.
The primary goal of this process is to maximize data quality, ensuring they are usable and faithfully represent reality.
The primary goal of this process is to maximize data quality, ensuring they are usable and faithfully represent reality.
What is a data space?
A data space is a decentralized digital environment that allows organizations and users to share and use data in a trusted and standardized manner.
The data remains at its source and is transferred under governance rules and agreements established by the parties, allowing original owners to maintain sovereignty and control over their information.
The primary goal of a data space is to drive the data economy, foster innovation, create new products or services, and improve existing ones.
The data remains at its source and is transferred under governance rules and agreements established by the parties, allowing original owners to maintain sovereignty and control over their information.
The primary goal of a data space is to drive the data economy, foster innovation, create new products or services, and improve existing ones.
What is the data economy?
The data economy is a pillar of the digital market, in which data acts as a valuable asset.
Data capitalization is achieved through direct monetization models ( for example, the sale of aggregated and anonymized data, or analysis services and insights ) and indirect monetization ( for example, using data to optimize operations, create new products or services, and improve or personalize existing ones ).
Data capitalization is achieved through direct monetization models ( for example, the sale of aggregated and anonymized data, or analysis services and insights ) and indirect monetization ( for example, using data to optimize operations, create new products or services, and improve or personalize existing ones ).
What is the digital market?
The digital market is the virtual environment in which labor and economic activities are carried out via the Internet, allowing companies, professionals, and consumers to interact without the need for a physical space.
It is characterized by its global reach and spans everything from e-commerce platforms to the procurement and execution of services.
It facilitates business scalability, the unlocking of new commercial opportunities, and the use of automated digital tools and digital workforces.
It is characterized by its global reach and spans everything from e-commerce platforms to the procurement and execution of services.
It facilitates business scalability, the unlocking of new commercial opportunities, and the use of automated digital tools and digital workforces.
What is an API?
API is the acronym for "Application Programming Interface".
It is a way to connect different software, systems, or digital tools over a network, so they can communicate with each other and exchange data.
This methodology helps create modular software architectures and build digital infrastructures, fostering the development of new solutions and facilitating service delivery in the digital market.
It is a way to connect different software, systems, or digital tools over a network, so they can communicate with each other and exchange data.
This methodology helps create modular software architectures and build digital infrastructures, fostering the development of new solutions and facilitating service delivery in the digital market.
What does data-driven mean?
Data-driven refers to an approach or culture in which decisions are based on the analysis and interpretation of data, rather than relying solely on assumptions or intuition.
With this methodology, information and concrete evidence obtained from data guide the way forward, helping you make informed decisions, better understand behaviors, find commercial opportunities, identify areas for improvement, optimize processes and increase your organization's effectiveness and responsiveness.
With this methodology, information and concrete evidence obtained from data guide the way forward, helping you make informed decisions, better understand behaviors, find commercial opportunities, identify areas for improvement, optimize processes and increase your organization's effectiveness and responsiveness.
What is the DX ecosystem?
DX is our modular and flexible network of interoperable services for data capture, integration, organization, automation, and visualization, which we offer as a solution for comprehensive data management.
Designed for European SMEs and organizations that want to extract value and information from data, or integrate into the data economy, it is structured so you can activate the exact services you need, allowing you to scale them according to your organization's requirements.
It is composed of:
CAPTA : Data extraction
ORGANIZA : Data governance and cleansing
ILUMINA : Business Intelligence
FLUYE : Data infrastructure
ACTIVA : Automated event triggering
PIDE : SaaS for Purchasing Management
Designed for European SMEs and organizations that want to extract value and information from data, or integrate into the data economy, it is structured so you can activate the exact services you need, allowing you to scale them according to your organization's requirements.
It is composed of:
CAPTA : Data extraction
ORGANIZA : Data governance and cleansing
ILUMINA : Business Intelligence
FLUYE : Data infrastructure
ACTIVA : Automated event triggering
PIDE : SaaS for Purchasing Management
How do you offer the service?
We offer our services remotely, using technology to interact with and support your organization regardless of its geographical location.
For information on our approach, please visit our About page.
For information on our approach, please visit our About page.
What is the service cost based on?
The cost of our services is based on a dual model.
Initial implementation services, custom development and consulting are quoted using a personalized approach that fit your organization's unique needs and goals, considering the scope and complexity of the work, estimated hours of dedication, and specific technical requirements.
Ongoing services such as SaaS, BI, API, or data management operate under a subscription model with a recurring monthly or annual fee that covers service maintenance.
Tell us what challenge you want to solve, and we will prepare a customized proposal for you.
Initial implementation services, custom development and consulting are quoted using a personalized approach that fit your organization's unique needs and goals, considering the scope and complexity of the work, estimated hours of dedication, and specific technical requirements.
Ongoing services such as SaaS, BI, API, or data management operate under a subscription model with a recurring monthly or annual fee that covers service maintenance.
Tell us what challenge you want to solve, and we will prepare a customized proposal for you.