Data Engineering

Data powers the new economy and it’s the driving force of digital era. Value captured so far is, in contrast, much less than its full potential.

These days, with so much data available from inside businesses and the market around them, there is a new challenge for companies to source, transform, integrate and store so many datasets that come in so many formats – from highly structured to completely unstructured and unformatted.

The data quality and accessibility is essential for an efficient solution based on AI and Analytics. However, the typical data landscape in large organizations can still be described as:

  • Low quality and low integrity
  • Silos of data with low to none integration and accessibility
  • Lack of understanding of data sources and their uses
  • Inefficient to lacking data governance

Most companies struggle to move forward with their analytics initiatives due to the lack of organization and structure in the available data. The inability of unlocking relevant insights limits innovation and growth.

Data Efficiency

Data Confidence

Data
Quality

Transforming Data

Based on 20+ years of experience working with large data-driven companies, DHAUZ has developed services to provide support on 6 main capabilities of data utilization, so that companies can achieve their data-driven goals.

Cloud Architecture

Cloud strategy, setup and agile execution, based on use cases and level of maturity

Data Lake Industrialization

Build, upgrade and run data lakes, enhance security, governance, agility and integration to enable value capturing

Self-Service Data

Provide easy to use and widespread availability so that users can access the data in scale

Data Transformation

Implement a data pipeline to achieve a data collection process that is consistent, reliable and enriched so data true value can be extracted

Data Governance

Guidance and safety to use data as a corporate asset

Systems Integration

Develop data extraction tools to handle a variety of sources, formats, databases, protocols and architectures in a safe and consistent way.

Our data engineering services cover every major requirement to extract real value from data.

We can prepare the adequate environment for data consumption and also support your data manipulation and transformation, offering high efficiency, scalability and reliability on data access and unlocking data-based strategies.

Data Governance

DHAUZ believes that data reliability is the one of the most important factors to explain the gap between the reality and expectations, when investing in analytics.

Data quality requires a management and governance process that is built from the bottom up and that should include data federation, self-service helping tools and clear guides for data access and firewall.

Along with their data strategy, if a company develops well-defined approach and policies and for data management and governance as well as a transparent relationship with stakeholders, then they can call their data reliability a competitive edge.

Our 3 main differentiators:

Our solutions are built to assure the correct use of sensible information, auditability and control of data access while also complying with regulations (i.e. LGDP, GDPR and CCPA).

We implement quality assurance and datasets management processes to make it easier to use and understand the available data. This is key to avoid a Data Swamp.

With the proper governance, we are able to deliver a Single Source of Truth and maximize the value generated by the use of data.