Data Governance
Data governance from a practical perspective with tangible results.
Why Data Governance?
For years, we’ve been talking about Data Governance. However, due to the explosion of AI solutions, it’s now more necessary than ever. There are excellent laws and theories, but the most complex challenge is putting them into practice to achieve concrete results.
At Datalytics, we design and develop Data Governance strategies with a 100% practical approach, focused on generating tangible actions and products. We adapt to each client’s reality without requiring investments in new technology.
improve data quality and analysis accuracy.
Source: SECODA
claim that good Data Governance drives innovation and agility.
Source: TDWI
are more likely to avoid data breaches.
Source: SECODA
Our approach
Datalytics’ Data Governance services offer the following key advantages:
Data & information governance framework
We have developed our own methodology based on various theoretical frameworks and our practical experience. This strategy is built on six pillars that will help you implement concrete Data Governance strategies.
Practical philosophy
We approach Data Governance from a practical perspective. We develop our own archetypes to help you understand the value of your data. We have the experience and knowledge necessary to design and implement the governance plan you need.
No extra investments
The success of Data Governance projects is closely tied to a company’s culture; technology is just an enabler. For this reason, we design these strategies based on the technology available to each client, with no need for additional investment.
Our clients
Client testimonials
Frequently asked questions
Data Governance is about turning data into a strategic asset that generates value and competitive advantages. This not only involves implementing advanced technology but also creating a cultural shift throughout the organization. It’s about ensuring everyone speaks the same language.
The first and most important thing is to have the commitment of the leaders and top management of the organization. Data Governance is, above all, a cultural change. Without the support of key stakeholders, it will be very difficult.
Some of the most important pillars of any Data Governance strategy include:
- Aligning the data strategy with the business strategy. We need to know where we’re going, why, and what resources we have to get there.
- Structure: A data governance office, committee, forum, or group is essential. This is a group of individuals with the authority to define, validate, and promote a culture of data care and awareness.
- Knowing how to prioritize: It’s important to think big but execute in small steps to achieve tangible, value-generating results in short periods of time.
- Working on data quality: There is no governance without data quality, and there is no data quality without governance.
