Data engineering

Become a forward-thinking and data-centric business. Elevate your organization's data maturity and harness the power of self-served analytics

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Your needs met with our know-how

Data platform engineering

Ensure robust digital platform performance with efficient and scalable systems.

ML engineering

Continuously generate insights from scalable, efficient and reliable ML solutions at every stage of your data journey.

Big Data Processing

Handle large, diverse datasets to extract valuable insights through advanced batch and real-time data streams.

Data Warehousing

Data warehousing aids insightful decisions for analysts and business users.

Get your data working

Align your data strategy with your business goals. Implement data products with a modern data stack and empower your team with self-service solutions that scale effortlessly and are easy to use.

Gain trusted insights from customized end-to-end data platforms and data products

Process data regardless of volume or complexity

Apply generic or intricate AI models efficiently and in parallel

Leverage data from diverse sources with a unified, single source of truth

How we meet your needs

We provide everything you need to reap the benefits of data-driven decision-making, including:

Strategy and consulting

Data architecture and modelling
Data strategy and governance
Big data and cloud consulting
Data science consulting
Apache Spark expert-level consultancy
Migration of on-prem to cloud/hybrid
Data privacy and protection

Business and technology delivery

Machine Learning engineering and MLOps
Data engineering and DataOps
Data warehousing
Data platform engineering
Batch and streaming data processing
Domain-driven design
Gradual implementation

Innovation and knowledge sharing

Data culture building
Custom software solutions for data platforms
Discovery workshops
Technical training

Data success stories

1
Implemented projects immediately
2
Generated forecasts utilizing individual ML and statistical models
3
Transformed the legacy framework into an efficient Databricks environment

Databricks

Migrating and generalizing a forecasting framework from Hadoop to Azure Databricks

1
Implemented projects immediately
2
Generated forecasts utilizing individual ML and statistical models
3
Transformed the legacy framework into an efficient Databricks environment

1
Implemented projects immediately
2
Generated forecasts utilizing individual ML and statistical models
3
Transformed the legacy framework into an efficient Databricks environment

Migrating_and_generalising_a_forecasting_framework_from_Hadoop_to_Azure_Databricks_cover

1
Implemented projects immediately
2
Generated forecasts utilizing individual ML and statistical models
3
Transformed the legacy framework into an efficient Databricks environment

1
Processed thousands of tables daily and provided data to various business users and executives
2
Avoided vendor lock-in and established a future-proof, maintainable data platform
3
Reduced time and costs by eliminating duplicate coding and fixed data quality issues promptly

Analytics

Boosting business analyses with an automated single source of truth

1
Processed thousands of tables daily and provided data to various business users and executives
2
Avoided vendor lock-in and established a future-proof, maintainable data platform
3
Reduced time and costs by eliminating duplicate coding and fixed data quality issues promptly

1
Processed thousands of tables daily and provided data to various business users and executives
2
Avoided vendor lock-in and established a future-proof, maintainable data platform
3
Reduced time and costs by eliminating duplicate coding and fixed data quality issues promptly

Streamlining_business_analyses_with_an_automated_single_source_of_truth_cover

1
Processed thousands of tables daily and provided data to various business users and executives
2
Avoided vendor lock-in and established a future-proof, maintainable data platform
3
Reduced time and costs by eliminating duplicate coding and fixed data quality issues promptly

1
Captured video streams from multiple cameras and performed live inference on them
2
Supported data scientists to quickly deploy models for increased security and fraud recognition, and greater workforce efficiency
3
Ensured GDPR compliance for data security and retention

Computer vision

In-store object recognition with ML, edge computing & computer vision

1
Captured video streams from multiple cameras and performed live inference on them
2
Supported data scientists to quickly deploy models for increased security and fraud recognition, and greater workforce efficiency
3
Ensured GDPR compliance for data security and retention

1
Captured video streams from multiple cameras and performed live inference on them
2
Supported data scientists to quickly deploy models for increased security and fraud recognition, and greater workforce efficiency
3
Ensured GDPR compliance for data security and retention

In-Store_Object_Recognition_with_ML,_EDGE_Computing_&_Computer_Vision_cover

1
Captured video streams from multiple cameras and performed live inference on them
2
Supported data scientists to quickly deploy models for increased security and fraud recognition, and greater workforce efficiency
3
Ensured GDPR compliance for data security and retention