Data Stack.
Data Stack.
Data Stack.
Data Stack.
Done right.
Done right.
Done right.
Done right.
Transform your data into a competitive advantage with modern, scalable, customized, and fully automated solutions
that we design to meet your unique needs.
Transform your data into a competitive advantage with modern, scalable, customized, and fully automated solutions that we design to meet your unique needs.
Transform your data into a competitive advantage with modern, scalable, customized, and fully automated solutions that we design to meet your unique needs.
Let's bring value to your data
Let's bring value to your data
Let's bring value to your data
Data & AI Strategy
Data & AI Strategy
We start by defining clear data strategy that aligns with the business strategy of the company. One that will create harmony between your technologies, processes, and people and steer your company to being data-driven.
We start by defining clear data strategy that aligns with the business strategy of the company. One that will create harmony between your technologies, processes, and people and steer your company to being data-driven.
Read more
Read more
Data & AI Strategy
We start by defining clear data strategy that aligns with the business strategy of the company. One that will create harmony between your technologies, processes, and people and steer your company to being data-driven.
Read more
Data Implementation
Data Implementation
We put the strategy into action with laser-focus execution on the full data stack flow with its undercurrents. We master key data stack technologies and can adapt quickly to the latest tools/frameworks.
We put the strategy into action with laser-focus execution on the full data stack flow with its undercurrents. We master key data stack technologies and can adapt quickly to the latest tools/frameworks.
Our services
Our services
Data Implementation
We put the strategy into action with laser-focus execution on the full data stack flow with its undercurrents. We master key data stack technologies and can adapt quickly to the latest tools/frameworks.
Our services
Education
Education
The people element is the most important, and if you plan on launching a lasting data strategy, the entire company needs to be educated on the various data initiatives and have good data literacy.
The people element is the most important, and if you plan on launching a lasting data strategy, the entire company needs to be educated on the various data initiatives and have good data literacy.
Academy
Academy
Education
The people element is the most important, and if you plan on launching a lasting data strategy, the entire company needs to be educated on the various data initiatives and have good data literacy.
Academy
Services
Services
Our clear added value resides in our holistic approach to data. Data is not central to one department, it’s a fluid that resides everywhere and empowers the entire business to make better decisions.
We recognize the transversal power of data and the complexities of the ecosystem.
Our clear added value resides in our holistic approach to data.
Data is not central to one department, it’s a fluid that resides everywhere
and empowers the entire business to make better decisions.
We recognize the transversal power of data and the complexities of the ecosystem.
Data Journey
Seamless data ingestion and orchestration services for efficient data flow management.
Data Engineering
Seamless data ingestion and orchestration services for efficient data flow management.
Data Engineering
Transform raw data into customized datamarts through optimal data transformations.
Analytics Engineering
Transform raw data into customized datamarts through optimal data transformations.
Analytics Engineering
Turn complex data into actionable insights to drive growth and competitive advantage.
BI
Turn complex data into actionable insights to drive growth and competitive advantage.
BI
Activate your data by syncing insights from your warehouse back to operational systems.
Reverse ETL
Activate your data by syncing insights from your warehouse back to operational systems.
Reverse ETL
Leverage and automate the deployment of advanced ML models to unlock predictive and prescriptive insights.
ML & MLOps
Leverage and automate the deployment of advanced ML models to unlock predictive and prescriptive insights.
ML & MLOps
The future is about Gen AI and its industrialization from development to deployment to enhance customer experience.
Gen AI & LLMOps
The future is about Gen AI and its industrialization from development to deployment to enhance customer experience.
Gen AI & LLMOps
Data Engineering
At the root of every bite of data lies data engineering. For you, this means seamless data ingestion and orchestration, ensuring your system is efficiently streamlined to manage the flow of data effectively.
Analytics Engineering
Whether it's SQL through dbt or complex streaming transformations using Apache Beam, the best transformations are implemented to turn your raw data into curated datamarts, tailor-made for your specific needs.
Data Quality
Your data undergoes rigorous testing, ensuring its transformation into a valuable asset. By leveraging modern tools, you receive the highest quality data, ready for your business stakeholders to make informed, impactful decisions.
Business Intelligence
Empower your business with data-driven insights and strategies, optimizing decision-making and operational efficiency. Transform complex data into actionable intelligence, driving growth and competitive advantage.
Advanced Analytics
Unlock predictive insights and strategic advantages with Machine Learning and Large Language Models. Turn complex data into assets, anticipate market trends, personalize experiences, and drive innovation.
Infrastructure & DataOps
Your data foundations are set right with a robust infrastructure, ensuring reliability and efficiency. With automation at every possible step, each action in your system will generate CI/CD pipelines with a clear purpose, streamlining your processes.
FinOps
Keep your analytics and cloud costs under control. Gain full visibility on your expenditures with focused actions on key saving areas, ensuring cost-effective operations while maintaining high performance.
Security
Security is a fundamental necessity, not an option. Benefit from comprehensive expertise in security best-practices around infrastructure and Google Cloud to specific security data topics, ensuring your operations are safeguarded from the start.
Data Undercurrents
Design and build scalable data structures and systems for optimal data management.
Data Architecture
Design and build scalable data structures and systems for optimal data management.
Data Architecture
The foundations for all your data initiatives to scale. Infrastructure is the bedrock that needs to be built with the utmost care.
Infrastructure
The foundations for all your data initiatives to scale. Infrastructure is the bedrock that needs to be built with the utmost care.
Infrastructure
Rigorous data testing to deliver high-quality data for impactful, informed decision-making.
Data Quality
Rigorous data testing to deliver high-quality data for impactful, informed decision-making.
Data Quality
Automation with well-oiled operations is what makes the difference between success and failure within data projects.
DataOps
Automation with well-oiled operations is what makes the difference between success and failure within data projects.
DataOps
Comprehensive security solutions from infrastructure to data, safeguarding your operations from the start.
Security
Comprehensive security solutions from infrastructure to data, safeguarding your operations from the start.
Security
Optimize cloud costs with full expenditure visibility and targeted savings strategies.
FinOps
Optimize cloud costs with full expenditure visibility and targeted savings strategies.
FinOps
Our playground
Our playground
Benefiting from our experience since the early days of Google Cloud, we offer expertise in analytics, ML, infrastructure, and security, ensuring you the best use of this advanced platform.
Benefiting from our experience since the early days of Google Cloud, we offer expertise in analytics, ML, infrastructure, and security, ensuring you the best use of this advanced platform.
Read more
Read more
Services
Our clear added value resides in our holistic approach to data. Data is not central to one department, it’s a fluid that resides everywhere and empowers the entire business to make better decisions.
We recognize the transversal power of data and the complexities of the ecosystem.
Data Journey
Seamless data ingestion and orchestration services for efficient data flow management.
Data Engineering
Transform raw data into customized datamarts through optimal data transformations.
Analytics Engineering
Turn complex data into actionable insights to drive growth and competitive advantage.
BI
Activate your data by syncing insights from your warehouse back to operational systems.
Reverse ETL
Leverage and automate the deployment of advanced ML models to unlock predictive and prescriptive insights.
ML & MLOps
The future is about Gen AI and its industrialization from development to deployment to enhance customer experience.
Gen AI & LLMOps
Data Undercurrents
Design and build scalable data structures and systems for optimal data management.
Data Architecture
The foundations for all your data initiatives to scale. Infrastructure is the bedrock that needs to be built with the utmost care.
Infrastructure
Rigorous data testing to deliver high-quality data for impactful, informed decision-making.
Data Quality
Automation with well-oiled operations is what makes the difference between success and failure within data projects.
DataOps
Comprehensive security solutions from infrastructure to data, safeguarding your operations from the start.
Security
Optimize cloud costs with full expenditure visibility and targeted savings strategies.
FinOps
Our playground
Benefiting from our experience since the early days of Google Cloud, we offer expertise in analytics, ML, infrastructure, and security, ensuring you the best use of this advanced platform.
Read more
Trusted by
Trusted by
Trusted by
Customer Stories
Customer Stories
Customer Stories
Key Metrics
Reduced time to insights by 80%
100% visibility/observability of data
Data consumers activity increased by 100%
Retail & CPG Industry
Modern Data Stack implementation
Design and implementation from scratch of a new data stack for Watchfinder on Google Cloud with leading data technologies. The main components of the stack were BigQuery, dbt, Airbyte, Airflow, Datahub, and Metabase. The project also involved overhauling the data operating model and providing employees with training on the newly implemented technologies.
Key Metrics
70% speed increase compared to the previous solution
35% cost reduction
Full transparency in data workflow
ESG Industry
Real-time ingestion and transformation of tweets and newspaper articles
Design and implementation of a pipeline to ingest and transform a continuous stream of data coming from Twitter and various newspaper sources. The transformation included a few ML/AI steps (sentiment analysis, translation, etc.) and the key design concern was in scalability and latency of the solution, where Dataflow (with Apache Beam) played a key part.
Key Metrics
0 downtime infrastructure
0 data leakage/security breaches
30% decrease in FinOps costs
Retail & CPG Industry
Infra & Security foundations on Google Cloud
Greenfield project with a Fintech company to set the right infrastructure and security foundations on Google Cloud for them to deploy and scale their product. One of the main goals was to assist them in obtaining ISO27001 certification, which was completed in early 2024.
Key Metrics
100% automation
50% increase in model deployed to production
Manufacturing Industry
MLOps using Vertex AI
Implementation of MLOps pipelines using Vertex AI to seamlessly deploy new ML models in production. Automation was set throughout the ML journey from data collection, feature engineering, model training and model serving.
Key Metrics
4X increase in dashboard usage
100% visibility/observability of data
80% decrease in data quality issues
Healthcare Industry
Deployment of reporting solution in Looker
The company struggled to make data-driven decisions due to legacy tools and inaccurate data. We worked with them to deploy a new data stack consisting of Fivetran, Snowflake, dbt Cloud, and Looker to streamline the journey of data from their different source systems down to well-designed BI dashboards in Looker.
Key Metrics
Reduced time to insights by 80%
100% visibility/observability of data
Data consumers activity increased by 100%
Retail & CPG Industry
Modern Data Stack implementation
Design and implementation from scratch of a new data stack for Watchfinder on Google Cloud with leading data technologies. The main components of the stack were BigQuery, dbt, Airbyte, Airflow, Datahub, and Metabase. The project also involved overhauling the data operating model and providing employees with training on the newly implemented technologies.
Key Metrics
70% speed increase compared to the previous solution
35% cost reduction
Full transparency in data workflow
ESG Industry
Real-time ingestion and transformation of tweets and newspaper articles
Design and implementation of a pipeline to ingest and transform a continuous stream of data coming from Twitter and various newspaper sources. The transformation included a few ML/AI steps (sentiment analysis, translation, etc.) and the key design concern was in scalability and latency of the solution, where Dataflow (with Apache Beam) played a key part.
Key Metrics
0 downtime infrastructure
0 data leakage/security breaches
30% decrease in FinOps costs
Retail & CPG Industry
Infra & Security foundations on Google Cloud
Greenfield project with a Fintech company to set the right infrastructure and security foundations on Google Cloud for them to deploy and scale their product. One of the main goals was to assist them in obtaining ISO27001 certification, which was completed in early 2024.
Key Metrics
100% automation
50% increase in model deployed to production
Manufacturing Industry
MLOps using Vertex AI
Implementation of MLOps pipelines using Vertex AI to seamlessly deploy new ML models in production. Automation was set throughout the ML journey from data collection, feature engineering, model training and model serving.
Key Metrics
4X increase in dashboards usage
100% visibility/observability of data
Healthcare Industry
Deployment of reporting solution in Looker
The company struggled to make data-driven decisions due to legacy tools and inaccurate data. We worked with them to deploy a new data stack consisting of Fivetran, Snowflake, dbt Cloud, and Looker to streamline the journey of data from their different source systems down to well-designed BI dashboards in Looker.
Key Metrics
Reduced time to insights by 80%
100% visibility/observability of data
Data consumers activity increased by 100%
Retail & CPG Industry
Modern Data Stack implementation
Design and implementation from scratch of a new data stack for Watchfinder on Google Cloud with leading data technologies. The main components of the stack were BigQuery, dbt, Airbyte, Airflow, Datahub, and Metabase. The project also involved overhauling the data operating model and providing employees with training on the newly implemented technologies.
Key Metrics
70% speed increase compared to the previous solution
35% cost reduction
Full transparency in data workflow
ESG Industry
Real-time ingestion and transformation of tweets and newspaper articles
Design and implementation of a pipeline to ingest and transform a continuous stream of data coming from Twitter and various newspaper sources. The transformation included a few ML/AI steps (sentiment analysis, translation, etc.) and the key design concern was in scalability and latency of the solution, where Dataflow (with Apache Beam) played a key part.
Key Metrics
0 downtime infrastructure
0 data leakage/security breaches
30% decrease in FinOps costs
Retail & CPG Industry
Infra & Security foundations on Google Cloud
Greenfield project with a Fintech company to set the right infrastructure and security foundations on Google Cloud for them to deploy and scale their product. One of the main goals was to assist them in obtaining ISO27001 certification, which was completed in early 2024.
Key Metrics
100% automation
50% increase in model deployed to production
Manufacturing Industry
MLOps using Vertex AI
Implementation of MLOps pipelines using Vertex AI to seamlessly deploy new ML models in production. Automation was set throughout the ML journey from data collection, feature engineering, model training and model serving.
Key Metrics
4X increase in dashboards usage
100% visibility/observability of data
Healthcare Industry
Deployment of reporting solution in Looker
The company struggled to make data-driven decisions due to legacy tools and inaccurate data. We worked with them to deploy a new data stack consisting of Fivetran, Snowflake, dbt Cloud, and Looker to streamline the journey of data from their different source systems down to well-designed BI dashboards in Looker.
What makes us different
What makes us different
What makes us different
Tailored Solutions
Tailored Solutions
Tailored Solutions
By understanding your unique business, a customized roadmap is created, pinpointing specific areas for improvement tailored to your needs.
Gradual Improvements
Gradual Improvements
Gradual Improvements
Recognizing the ever-evolving nature of your business, our approach adapts to shifting priorities, ensuring continual support and guidance at every stage.
Future-Proof
Future-Proof
Future-Proof
Maintaining a clutter free data and
analytics practice is our prime objective.
Your teams will be set up for success without any compromises.
Maintaining a clutter free data and analytics practice is our prime objective. Your teams will be set up for success without any compromises.
The Hub
The Hub
The Hub
Explore our blog section ➜
Explore our blog section ➜
Explore our blog section ➜
The Ideal Chief Data Officer
Jan 8, 2025
The Chief Data Officer (CDO) is a pivotal leader navigating the complexities of modern data landscapes. They align data strategies with business goals, foster a data-driven culture, and drive innovation. CDOs face challenges like cultural resistance siloed systems, and resource constraints...
Dev & Prd workflow on a single Looker instance
Dec 26, 2024
Following our previous article on managing dev and prod development for dashboards within a single Looker instance, we thought it would be useful to provide a step-by-step guide for developing LookML…
How to Improve Data Quality: Data Quality Checks
Dec 13, 2024
Learn how thorough data quality checks — ensuring structural integrity, consistent logic, and timeliness—build trust, streamline operations, and empower teams to deliver real value.
Exploring the power of dbt 1.9
Oct 28, 2024
The dbt 1.9 release debuts "microbatch incremental," allowing for more flexible, efficient data processing by handling smaller data chunks and reducing bottlenecks. It also enhances snapshots, enabling YAML configuration, environment-specific schemas, and customizable metadata columns.
Is Conversational Analytics the End of Data Analysts?
Oct 18, 2024
Conversational analytics simplifies data access but isn’t foolproof, often generating errors without structured data models. Data analysts remain essential to validate AI-generated insights, making AI a "co-pilot" rather than a replacement.
The Ideal Chief Data Officer
Jan 8, 2025
The Chief Data Officer (CDO) is a pivotal leader navigating the complexities of modern data landscapes. They align data strategies with business goals, foster a data-driven culture, and drive innovation. CDOs face challenges like cultural resistance siloed systems, and resource constraints...
Dev & Prd workflow on a single Looker instance
Dec 26, 2024
Following our previous article on managing dev and prod development for dashboards within a single Looker instance, we thought it would be useful to provide a step-by-step guide for developing LookML…
How to Improve Data Quality: Data Quality Checks
Dec 13, 2024
Learn how thorough data quality checks — ensuring structural integrity, consistent logic, and timeliness—build trust, streamline operations, and empower teams to deliver real value.
Exploring the power of dbt 1.9
Oct 28, 2024
The dbt 1.9 release debuts "microbatch incremental," allowing for more flexible, efficient data processing by handling smaller data chunks and reducing bottlenecks. It also enhances snapshots, enabling YAML configuration, environment-specific schemas, and customizable metadata columns.
Is Conversational Analytics the End of Data Analysts?
Oct 18, 2024
Conversational analytics simplifies data access but isn’t foolproof, often generating errors without structured data models. Data analysts remain essential to validate AI-generated insights, making AI a "co-pilot" rather than a replacement.
Our technology stack
Our technology stack
Our technology stack
We are technology-agnostic and are always on the lookout for the best tools/frameworks and adapt quickly to industry changes.
We are technology-agnostic and are always on the lookout for the best tools/frameworks and adapt quickly to industry changes.
We are technology-agnostic and are always on the lookout for the best tools/frameworks and adapt quickly to industry changes.
FAQ
FAQ
FAQ
As consultants, do you only provide advice and strategy?
We want to build internal capabilities but lack specific expertise on a select few topics. How can we make sure our team will be able to deliver after we are done with our joint project?
I want to build an AI/ML solution but am not sure if my data quality is good enough. How can you assist with that?
Do you work on a project-basis or provide ongoing support?
Our company is failing to deliver data & AI solutions. What can you do?
As consultants, do you only provide advice and strategy?
We want to build internal capabilities but lack specific expertise on a select few topics. How can we make sure our team will be able to deliver after we are done with our joint project?
I want to build an AI/ML solution but am not sure if my data quality is good enough. How can you assist with that?
Do you work on a project-basis or provide ongoing support?
Our company is failing to deliver data & AI solutions. What can you do?
As consultants, do you only provide advice and strategy?
We want to build internal capabilities but lack specific expertise on a select few topics. How can we make sure our team will be able to deliver after we are done with our joint project?
I want to build an AI/ML solution but am not sure if my data quality is good enough. How can you assist with that?
Do you work on a project-basis or provide ongoing support?
Our company is failing to deliver data & AI solutions. What can you do?
As consultants, do you only provide advice and strategy?
We want to build internal capabilities but lack specific expertise on a select few topics. How can we make sure our team will be able to deliver after we are done with our joint project?
I want to build an AI/ML solution but am not sure if my data quality is good enough. How can you assist with that?
Do you work on a project-basis or provide ongoing support?
Our company is failing to deliver data & AI solutions. What can you do?