Data Engineering & Analytics
Turn scattered data into a reliable foundation.
We connect data sources, create comprehensible data models and make information usable for analysis and operational processes. Together with your specialist departments, we clarify what a key figure means and how reliable it is.
Service modules
What we do for you
Data Strategy & Requirements Analysis
We look at concrete decisions and processes that require better data. Data sources, technical terms and responsibilities form the basis for a realistic initial scope.
A prioritized data project with clear business goals.
Data Integration & Pipelines
We connect ERP, CRM, files and other sources via suitable interfaces. Processing, repetitions and errors are designed in such a way that data flows remain traceable.
Documented and monitored data transfers.
Data Platform & Architecture
Together, we select suitable storage and processing structures. Data warehouses, lakehouses or other building blocks are evaluated on the basis of usage, volume, timeliness and operating costs.
A data architecture that fits the task.
Data Quality & Governance
We agree on quality rules, responsibilities and access concepts. The origin, processing and significance of important data are documented so that deviations can be processed in a targeted manner.
Verifiable data quality and traceable data origin.
Business Intelligence & Key Figures
We develop technically coordinated data models and evaluations. Definitions, filters and update statuses make reports understandable and reduce contradictory key figures.
Usable dashboards with jointly defined key figures.
Data for Processes & AI
Analysis data is provided via suitable interfaces for applications or AI projects. Authorizations, versioning and purpose of use are taken into account.
Usable data interfaces with documented boundaries.
Application examples
Data Engineering & Analytics Use Cases
Typical initial situations – together we adapt the scope and procedure to your project.
Merge reports from multiple systems
Sales and operations use different tables. We clarify terms, connect sources and create a common view of selected key figures.
Simplify manual monthly evaluations
Recurring exports and corrections take time. A regulated data flow with quality checks makes the process repeatable and errors visible.
Preparing data for an AI project
A use case exists, but the data is distributed or inconsistent. We check suitability, access rights and quality and provide a delimited data set.
Collaboration
From the first question to the handover
Clarify technical question
Which decision should be supported and which terms must be unambiguous?
Check sources & quality
We examine accessibility, timeliness, completeness and responsibilities.
Develop a data product
An initial data flow and a concrete evaluation are being tested together.
Anchor operation & use
Quality checks, documentation and responsibilities ensure continued use.
Your result
You can continue working with it
- Coordinated key figure and data definitions
- Documented data models and data flows
- Quality inspections with controlled error processing
- Evaluation or data interface for a specific need
SYNEDAT PLATFORM
Platform experience for your project
We use these selected tools in SYNEDAT PLATFORM or its delivery processes. We adapt suitable practices to your project and align their integration with your existing systems.
Deployment and platform automation
Kubernetes · Azure Kubernetes Service · Helm · Argo CD · Terraform
Versioned configuration and declarative deployment connect infrastructure and applications. GitOps makes proposed changes reviewable and the desired state explicit. Operational transitions and recovery procedures are still planned for the specific application.
Repeatable changes and clearer responsibility boundaries.
Observability and operations
Prometheus · Grafana · Alloy · Loki · Tempo
Metrics, logs and traces provide different views of applications and platforms. We organize data sources, dashboards and alert paths around specific operating questions. Retention, sensitive data and costs are considered when planning data collection.
Better incident diagnosis and informed operating decisions.
Data, search and messaging
MySQL · Redis · RabbitMQ · Solr · OpenSearch
Data storage, caching, messaging and search have different consistency, access and recovery requirements. We select and connect these components around your business processes. Ownership and maintenance are part of the integration.
Technical components that fit your data and application processes.
Frequently Asked Questions
Do you need to centralize all your company data first?
No. A clearly defined technical need is usually a good start. Relevant sources are specifically connected and the solution can then be expanded.
Can the existing reporting solution continue to be used?
We check this on the basis of interfaces, data model and user needs. Existing reports and tools can be integrated if they meet the agreed requirements.
Is real-time data always the best choice?
No. The required up-to-dateness, effort and operating costs must match. For many decisions, a regulated update at fixed intervals is sufficient.
Your next step
What question do you want your data to answer?
Name the desired evaluation or the affected process and the systems involved. Together, we define a scope of data that delivers practically usable results.
Data Engineering & Analytics
Your next step
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