Azure Data & AI services

Unlock innovation and growth in the digital era by embarking on an Azure cloud “Data to Value” journey. Tailored to your business's unique needs, we leverage the power of the Azure cloud to manage, analyse large datasets, deploy AI models, and implement data-driven use-cases. Our solutions not only save costs and improve efficiency but also scale seamlessly with your business growth, guiding you towards a data-driven future.

The two pillars of Data & AI on Azure: Data Foundation and Data-Driven Value Generation

Data Foundation

Data Architecture Screening Workshop

Initiate the process by understanding your current data landscape, collecting requirements, and jointly define a modern data foundation on Azure. Address matters such as GDPR compliance, change-data capture, data source identification, etc. We provide a roadmap and give estimates for cloud consumption and implementation efforts.

Smart Data Pipelines

We build data pipelines connecting and loading data from various data sources to a central data store by relying on native Azure services. Smart data pipelines handle data transformation, exception handling, and orchestration, ensuring a smooth flow from operational databases, SaaS solutions (e.g., Salesforce), and even SAP ecosystems.

Data Store (DWH, Data Lake, Data Mesh)

We establish data warehouses (DWH) and data-marts, utilising the native offerings of Azure. Alternatively, we design and establish Data Lakes with various data maturity zones or implement a Data Mesh architecture for separate data producer and consumer teams in your business.

Data Modelling

We define dimension- and fact tables (e.g. derived from a Data Vault) for DWHs and data-marts. For Data Lakes and Data Meshes, we ensure optimal table designs (e.g., Delta, Hudi, Iceberg) and take into account partitioning and compaction.

Data Access and Data Governance

Ensure findability of data in a central data catalogue, establish end-to-end user management, taking into account GDPR compliance and other access restrictions. Expose data via endpoints for down-stream data solutions, including Machine Learning (ML) and Artificial Intelligence (AI).

Data-Driven Value Generation

Use-case Screening Workshop

We identify and prioritise business pain-points and use-cases that can be realised from advanced analytics. A top 3 list of implementable data-driven use-cases, considering ROI, complexity, and development efforts are given towards the end.

Dashboarding & BI

We establish BI solutions and create dashboards using native BI services. This is the cornerstone for getting meaningful insights into your data. The results can be embedded in apps or dashboards or be made accessible from web interfaces.

Machine Learning (ML) + Artificial Intelligence (AI)

We leverage no/low code AI services from Azure to build data-driven use-cases. The solutions integrate with the data lake foundation and other Azure services, making the results available to apps and other solutions down-stream. Optionally, we support creating custom Machine Learning (ML) models for deployment via Machine Learning Operations (MLOps).

Cloud Native Software Development

We design, manage, optimise and construct data-centric applications on Azure with particular focus on Machine Learning (ML) and AI solutions. This includes user-friendly and comprehensive web-frontend and cross-platform mobile apps to leverage the value of your data.

UI/UX Design

Using a sophisticated UI/UX Design approach, we ensure creating exceptional digital experiences that resonate with users and drive the success of your data-centric applications.

Generative AI

GenAI Kickstarter Workshop

Explore the field of Generative AI (GenAI) from a practical perspective and consider the applicability in your business context. We help you outline development opportunities and offer directional guidance for deploying GenAI use-cases with tangible business value.

Generative AI use-case development

We develop GenAI solutions using no/low code or optimise existing GenAI models via fine-tuning, ensuring alignment with your business goals, leveraging the GenAI portfolio of services provided by Azure.