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Data Power
The power of data when it becomes knowledge
At Babel, we focus our approach to data power towards the data lifecycle from the perspective of data as the most important asset in an organisation.
We develop properly governed analytical models, with optimised ingestion, ETL or ELT processes, and with an excellent level of user experience when it comes to knowledge representation.
How we can help you
Babel’s approach to data power is to maximise the value of the data for our clients, to base the method on data, to extract information from the data and to transform this information into knowledge applicable to processes and business to improve them significantly, which is called “data activation”.
In order to achieve this data activation, it is necessary to cover some basic cornerstones to ensure this activation is maintainable, scalable and responsive to the changes and new needs of the organisation:
- Investing in governance and data quality.
- Understand our clients’ business and their underlying data.
- Ability to model each business process on an information system aimed at solving the main users’ issues.
- Develop the exploitation layer (reports and dashboards) as a true digital product, understanding that it is in this layer where real value is delivered, and where data becomes knowledge.
Our CRISP-DM methodology, together with the best practices established by Ralph Kimball’s team, make Babel a trusted partner with which to follow the path of data power
Approach
based on governance and data quality.
Data lifecycle
Development of engineering activities throughout the entire data lifecycle.
Experts
in analytical business process modelling.
Data exploitation
Maximum focus on data exploitation, true value delivery; conversion of data into knowledge.
Advantages Approach Experts Data Lifecycle
Services
Governance and data quality
We base our approach on DAMA, with a 360-degree view of the data. We support our clients in the governance and quality of data, from the creation of policies to the implementation of the tools necessary to govern data as the main asset.
Modelling
Extensive experience in modelling business processes in analytical information systems. We implement Kimball's best practices in BI and big data environments, orienting data at business from its logical design.
Enrichment
Standardised incorporation of external data adapted to the analytical system of our clients, developing the necessary transformations to standardise data for the business needs so that both internal and external data is in line with each other and can be complementary.
Data transformation and standardisation
With more than 20 years of experience, we develop ingestion, ETL and ELT processes to optimise analytical models. We perform cleaning, normalisation, standardisation, record completion, duplicate detection, and generation of audit trails.
Representation
and exploitation
We develop reports and dashboards to extract maximum value from data, transforming data into knowledge. We tailor representations to the needs of operational, tactical and strategic users, offering specific solutions according to the level and objective of each user.
What makes us strong
Overview of the need for data
Data needs are typically broad and cover aspects from defining business use cases, data engineering, governance, modelling, transformation and exploitation. Covering the whole cycle is possible thanks to a multidisciplinary team like Babel's.
Data is not isolated in an organisation, it is the result of business processes.
Data is the raw material of our work, but it gains meaning when the process that generates, collects and transforms it is understood.
Data in an organisation has no value without a business context
We see the purpose of data projects from a business perspective, and our projects and services must always have a clear value for the tangible and concrete business. Babel helps its clients to find this value.
Data exploitation is the place where data is transformed into knowledge.
We are committed to a very careful exploitation and representation of the data, and this is the moment when we deliver value to our clients. This aspect is very well known by Babel, which is why we have a UX team specialised in the representation of data, generating authentic digital products.
Opportunities
Data Governance
For a system to be truly sustainable, reliable and maintain quality levels that a company can afford, it is necessary to invest in a data governance and data quality model.
Therefore, Babel is based on DAMA best practices and offers its clients a method based on stages according to the degree of maturity. Once the level has been determined, actions are proposed for gradual development.
Babel is the perfect company to support an organisation on the road to data governance and data quality.
UX in data representation
It is no longer enough to present data in reports and dashboards.
We must now transform data into valuable knowledge for our clients’ business users. To do this, Babel has a specialised UX team that works in coordination with the data & analytics team to achieve a result that places the user at the centre of the process, simply offering them all the knowledge they need to decide on better solutions.
Why Babel?
+20 years
of experience in projects maximising the value of data.
+130 consultants
in the area of data & analytics.
+ 80 clients
in the data path.
Clients who trust Babel
Partners with whom we work
