Unlock innovation and growth in the digital era by embarking on an AWS cloud “Data to Value” journey. Tailored to your business's unique needs, we leverage the power of the AWS 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.
Initiate the process by understanding your current data landscape, collecting requirements, and jointly define a modern data foundation on AWS. 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.
We build data pipelines connecting and loading data from various data sources to a central data store by relying on native AWS 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.
We establish data warehouses (DWH) and data-marts, utilising the native offerings of AWS. 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.
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.
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).
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.
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.
We leverage no/low code AI services from AWS to build data-driven use-cases. The solutions integrate with the data lake foundation and other AWS 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).
We design, manage, optimise and construct data-centric applications on AWS 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.
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.
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.
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 AWS.
Consolidate diverse data sources into a central AWS Data Foundation, making data readily available for BI, Machine Learning, and AI.
AWS-based solutions save costs and scale with your business growth, e.g. ensuring optimal resource utilisation.
Generate actionable insights through BI dashboards, reports, and predictive analytics, driving informed decision-making.
Ensure data security and governance with access controls, GDPR compliance, and a central data catalogue.
Accelerate innovation with data-driven use-cases, ML/AI implementations, and the exploration of cutting-edge Generative AI solutions.
Our AWS Premier Partner status signifies our deep-rooted commitment to delivering exceptional solutions across the AWS ecosystem. Our proven service delivery processes, extensive certifications, and accreditations showcase our dedication to ensuring your success in the cloud. Through our expertise and partnership with AWS, we've helped organisations grow and reach their business goals using the cloud, wherever they are in their cloud journey by actively participating in programs, competencies and training available only to AWS partners and integrating that into our service offering.
An insightful case study showcasing how GRNet and PCG collaborated to develop a user management system for university students, ensuring resource isolation, automated provisioning, and detailed cost tracking on AWS.
When projects fail, it is often due to poor project management. doings puts an end to this. The Berlin-based start-up uses AI to make projects more efficient. The doings team built the training pipeline in the AWS cloud together with the PCG team.
It's a great offering to get results quickly, but like any good tool, it needs to be used correctly.
How does an insurance company with more than 4,000 employees balance compliance, modernization, and cost efficiency?