Big Data, Governance & Data Protection

Over 70% of companies lack a proper data management model to develop solutions based on Big Data.

Data Architecture

What is data architecture and why is a good database design important?

Data architecture is designed around the systems that support an organization’s information needs. One of its main goals is to build robust systems that deliver and transform data for the end user.

Organizations evolve—and so should their data architecture. At Dattae, we believe architecture should come before technology.

We design the optimal structure of your databases to maximize value and reduce storage and computing costs from day one. This structure must align with your business objectives and the industry in which you operate.

At Dattae, good architecture and database design is based on:

  • Security
  • Reliability
  • Availability
  • Cost optimization
  • Automation level

Cloud Operations

Cloud-based or on-premise, using finops models: data storage is necessary, not trivial

We always need a place to store data. Often, the solution is not straightforward. You must evaluate different options (cloud vs on-premise) and analyze the cost of storage.

Hybrid models are also available—storing some data locally for operational needs while migrating others to the cloud for flexibility and greater computing power.

To design the best model, we need to understand:

  • That cost structures differ between cloud and on-premise. Cloud costs follow a pay-as-you-go model—flexible and scalable.
  • What data will be used and how frequently.

A new discipline has gained traction: FinOps, focused on maximizing business value from cloud costs through collaboration between data engineering, IT, finance, and business teams.

Data engineering

Why should companies invest in data engineering?

When decisions are made based on unreliable data, business decisions go wrong.

Data engineering focuses on quality and data stability. At Dattae, we develop, implement, and maintain systems and processes to migrate and transform raw data into high-quality data used for analytics and predictive models.

In many projects, we spend up to 60% of our time cleaning and organizing data! Companies we advise reduce their ad hoc analysis time by up to 40% thanks to better data structures. Better data means greater operational efficiency.

Data governance

Your business will never run at its best without strict data governance

At Dattae, we design and implement your data governance operating model:

  • Assigning clear responsibilities (ownership & accountability) and deploying a data quality framework combining rules, monitoring, reporting, and continuous remediation
  • Ensuring data quality, integrity, security, and usability across the entire organization
  • Designing monitoring systems to regularly assess the processes we implement
  • Guaranteeing core data quality principles like accuracy, completeness, and availability
  • Enabling full traceability from data origin—especially relevant for audits
  • Supporting the creation of dictionaries, metadata, and data catalogs

Data security

Information security must be at the core of everything

Securing your company’s data should be a priority. At Dattae, we help develop policies and information security controls, following internationally recognized frameworks in cybersecurity and data protection.

We support companies in areas such as data classification, access control, business continuity, and incident response. Building a culture of security that permeates the organization and its people is key—for us and for the companies we work with.

Data protection

Why do you need the best advice on data protection?

All businesses must comply with data protection regulations—especially when handling personal data. These regulations are becoming stricter, and future non-compliance can lead to significant penalties.

At Dattae, we incorporate all policies and procedures required by the General Data Protection Regulation (GDPR). We apply best practices for handling personal information, anonymization, and data archiving.

We assess and categorize risks so your business stays compliant—without holding back innovation.

At Dattae, our data architecture and governance goals are clear:

  • Deliver optimal return on investment (ROI)
  • Reduce risk (security and data quality)
  • Maximize the value and usability of your data

If you want to operate in the world of artificial intelligence or build analytical models to guide your activity and operations, you won’t succeed without databases built on robust design, governance, security, and data protection.