Modern data stack is oftentimes perceived as a holy (technical) grail for data analytics and activation, but getting all the pieces to properly work together can prove challenging.
As independent data and analytics engineering experts, we can either support your team in doing so, or simply build your data technology stack from scratch. With years of expertise, we can handle it all: from data warehouse architecture to ETL pipelines to data modeling to both reporting, machine learning and external integrations.
No matter if you’re using AWS, Azure or Google Cloud Platform, dbt or Looker, Snowflake or Databricks, Airflow or Airbyte - we’ve worked with them all.
Are you ready to leverage your data for maximum impact? Schedule your no-obligation consultation today and start your journey towards effective data management with Defused Data.
Our approach
We are ready to deploy in less than 72 hours.
We are joining your team, supporting you from within your organization instead of acting as an external agency.
We come with a proven framework supporting you on each step of your data-driven journey: collection, analysis, activation.
Our data and analytics engineering services
Data engineering
- Solution design and development: We’ll support you with selection, procurement and implementation of the best data stack for your business and your budget - no matter if you’re a startup or a Fortune 500 enterprise.
- Data architecture audit and optimization: We’ll work with you to optimize your cloud spend, maintenance effort, reliability and effectiveness of your existing data setup.
- Modern data stack implementation: We’ll build the best data warehouse (or a data lake, lakehouse or anything in between) as a foundation of your data ecosystem, according to the latest and best practices.
- ETL development: We’ll develop tailor-made end-to-end data pipelines allowing you to work with whatever data source necessary.
Analytics engineering
- Data modeling with dbt, Looker and Dataform: We’ll act as your analytics engineering team, from the definition of business requirements to developing data models answering all of them.
- Data governance and quality assurance: We’ll build a data governance process, including best documentation practices, regular automated data quality tests and anomaly detection.
- Reports definition: We’ll support you with translating your raw data into actual business insights, creating a reporting layer for further analysis, visualization and dashboarding.
AI and Machine Learning engineering
- Recommendation and scoring models: We’ll help you to move from descriptive to predictive usage of data, by building customer behavior-based models for eg. product recommendations or lead scoring.
- Large Language Models and Generative AI applications: We’ll support you with harnessing the power of LLMs and GenAI to automate your business processes, enrich your existing data or fuel hyper-personalized customer experiences.
Schedule a consultation
We’ve partnered with the best technology providers
Not seeing your marketing platform here? Schedule a call anyway! With combined 30+ years of expertise, there’s a good chance we’ve worked with it.
Ready to start defusing?
We thrive on our customers' successes. Let us help you succeed in a truly data-driven way.
Ready to start defusing?
We thrive on our customers' successes. Let us help you succeed in a truly data-driven way.