Leverage the data in your company for innovation and growth with PCG's "Data to Value" approach. Benefit from the power of the Google Cloud to manage and analyse large data sets, implement AI models and successfully implement data-driven use cases. Our data and AI solutions are tailored to your needs. For a successful data foundation, for innovative (Gen) AI applications and a secure future shaped by data-driven decisions.
In order to generate real business value from data, you need not only a good and structured data foundation, but also a data hub in which the data is consolidated and managed. The Google Cloud Data Hub from PCG is the central hub between your database and your downstream initiatives such as generative AI, machine learning, dashboarding and business intelligence.
The central pillars of PCG's Google Cloud "Data to Value" approach: Data Foundation, Data Hub and Data-Driven Value Generation:
A successful data foundation is crucial to the success of your data-based initiatives and projects. Our experienced data architects support you in setting up your data foundation. From the initial screening of your data architecture to the development of smart data pipelines and data storages as well as data modelling, data access and governance.
As part of our workshop, PCG's Google Cloud experts will examine your current data landscape, record your requirements and define a customized data architecture as the foundation for your data strategy on Google Cloud. In addition to topics such as compliance and GDPR, this also includes change-data capture, data source identification and the definition of further use cases. Based on this, we create your data roadmap and provide estimates for cloud usage and implementation costs.
We develop smart data pipelines that are used to extract data from various sources and link it seamlessly to a central repository in the Google Cloud. To do so, we rely on native Google Cloud services. Our Smart Data Pipelines take on the tasks of data transformation, exception handling and orchestration. They ensure a continuous and uninterrupted flow of data from various operational databases, SaaS solutions such as Salesforce and the SAP ecosystem, among others.
We configure data warehouses (DWH) and data marts using the native functions of the Google Cloud. Alternatively, we design and set up data lakes with different data maturity zones or introduce a data mesh architecture for separate data producer and consumer teams in your company.
We support you with data modeling. This includes the creation of dimension and fact tables for data warehouses and data marts, which are derived from a data vault, for example. For data lakes and data meshes, we ensure optimal table designs, such as Delta, Hudi and Iceberg, and take partitioning and compaction into account.
We support you in the areas of data access and compliance. This includes ensuring that data can be found using a central data catalog, implementing end-to-end user management that takes GDPR compliance and other access restrictions into account, and providing data via interfaces for downstream data solutions such as machine learning and artificial intelligence (AI).
A data hub acts as a central junction in the data management landscape of an organisation, bridging the gap between raw data sources and various use cases that demand refined, reliable, and actionable information. Imagine it as the heart of the data ecosystem, pumping data throughout the organisation in a way that's both controlled and efficient.
In essence, a data hub streamlines the path from raw data to actionable insights, ensuring that data is not just collected but also transformed into a valuable asset that drives business outcomes and supports a wide array of use cases.
Real added value can be generated with the right foundation of data. We support you in data-driven value generation with various workshop formats, dashboarding and BI, machine learning and AI as well as the development of cloud-native, data-centric and Gen AI-based applications.
Our Use Case Screening Workshop includes the identification and evaluation of business pain points and use cases that can be solved by advanced analytics. We then create a list of the top three data-driven use cases, taking into account your return on investment (ROI), complexity and development effort.
We implement business intelligence solutions and develop dashboards using native BI services. In this way, we lay the foundation for meaningful data analyses. The insights gained can be integrated into applications or dashboards or made accessible via web interfaces.
We leverage Google Cloud's no/low-code AI services to implement data-driven use cases. These solutions integrate seamlessly with the Data Foundation and Google Cloud Services, making the results accessible to applications and other downstream solutions. Optionally, we offer support in the creation of individual machine learning models, which can be provided via Machine Learning Operations (MLOps).
We design, manage, optimize and develop data-centric applications on the Google Cloud for you, with a special focus on Machine Learning (ML) and Artificial Intelligence (AI). This includes creating user-friendly and comprehensive web front-ends as well as cross-platform mobile apps to harness the value of your data.
Through a sophisticated UI/UX design approach, we ensure the development of outstanding digital experiences that are appreciated by users and drive the success of your data-centric applications.
Discover Generative AI (GenAI) from a practical perspective and evaluate its applicability in your business context. We help you to outline development opportunities and provide guidance for the deployment of GenAI use cases with measurable business value.
Our services include the development of GenAI solutions using no/low-code approaches and the optimization of existing GenAI models through fine-tuning. For this we rely on the GenAI portfolio from Google Cloud such as Gemini and Vertex AI.
Consolidate diverse data sources into a central Google Cloud Data Foundation, making data readily available for BI, Machine Learning, and AI.
Google Cloud-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.
We proudly count ourselves among the pioneers of the European Google Cloud scene. As a certified Google Premier Partner and Managed Service Provider (MSP), we are leaders in the European Google Cloud ecosystem. Our expertise spans migrating diverse workloads to Google Cloud, optimising Google Workspace environments, and smart device management. With certifications in Work Transformation Enterprise, Infrastructure and Cloud Migration, we are your trusted partner for achieving operational excellence and innovation.
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