Trust Begins with High-Quality Data – Create Transparency, Quality & Control

Company data today originates from a wide variety of data sources – from ERP and CRM systems to cloud platforms, IoT applications, and external data sources.

It forms the basis for sound decisions, efficient processes, and the successful use of Business Intelligence and Artificial Intelligence (AI). This requires high data quality, transparent responsibilities, and sovereignty over your own data.

Sphinx helps you build Data Management, Data Governance, and Data Quality holistically for your company – from data architecture and the integration of diverse data sources to data classification, reporting, compliance, and end-to-end data lineage.

Where companies often struggle – do you recognize any of these situations?

• Data is spread across many different systems.
• Different departments work with different metrics.
• Reports deliver contradictory results.
• It's unclear who owns which data.
• Audits require a high level of manual effort.
• AI projects fail due to insufficient data quality.

This is exactly where Sphinx comes in – let's tackle this together: We'll create the foundation for trustworthy data, transparent processes, and secure decisions!

Data Governance – Transparency Creates Trust

Data Governance defines clear responsibilities, processes, and quality standards for company data. The goal is to provide traceable, consistent, and secure data – regardless of which system it comes from.

Only when roles, responsibilities, and data flows are clearly documented can you build reliable decision-making foundations for management, business units, and AI applications.

The key question is: Where does the Data Warehouse (DWH) stand in terms of temporal and logical consistency?

With a holistic Data Governance strategy, you also achieve:

• clear roles and responsibilities
• consistent definitions of metrics and master data
• transparent data flows
• traceable decision-making foundations
• audit readiness and compliance
• trust in your data

Learn more about Data Governance in our videos featuring Thomas Petrik, Managing Director & Head of Technology Consulting:

Data Sovereignty – Your Data Stays Under Your Control

Digital sovereignty means retaining control over your own company data at all times. This topic is especially relevant today – and growing in importance – in the context of cloud platforms, AI systems, and international service providers.

Sphinx offers you secure and innovative solutions that put data protection, compliance, and business independence at the center. Whether on-premises, in the private cloud, or in hybrid architectures – we build data platforms that combine security and flexibility.

This way, you always keep an overview of

• where your data is stored,
• who is allowed to access it,
• how it is used, and
• which regulatory requirements must be met

Data Integration & Historization – Bringing Data Together and Making It Traceable Over Time

Only through the integration of different data sources does a consistent and holistically comprehensive data foundation emerge.

At the same time, historization ensures that changes to data remain historically traceable, so developments can be analyzed over time – including retrospectively.

Data Quality – The Foundation of Every Analysis

Bad data leads to bad decisions. That's why successful Business Intelligence doesn't start with the dashboard, but with the quality of the underlying data.

Together with you, we analyze data sources, identify inconsistencies, and build sustainable processes to ensure data quality.

Among other things, we support you with

• duplicate cleansing
• plausibility checks
• data validation
• master data management
• continuous quality monitoring
• definition of quality metrics

Only high-quality data enables reliable reporting & analysis, robust KPIs, as well as meaningful AI applications and automated business processes.

Data Classification – Classifying and Protecting Data Correctly

Not all data requires the same level of protection. Structured data classification categorizes information according to sensitivity, confidentiality, and regulatory requirements.

This creates the basis for appropriate security measures, access rights, and compliance.

Data Lineage – Documenting Data Flows Transparently

Where do your metrics come from? Which systems provide which information? What transformations take place before reporting?

With end-to-end data lineage, you create complete transparency across the entire lifecycle of your data – from the source system through data processing to reporting. In the Data Lineage Mart, the origin, processing, and use of your data is documented centrally and traceably.

This allows errors to be detected faster, audits to be simplified, and regulatory requirements to be met more easily – giving you a reliable foundation for reports, KPIs, and data-driven AI applications.

Together Toward a Future-Ready Data Strategy

Trustworthy data doesn't happen by chance. It is the result of clear processes, defined responsibilities, and a modern data architecture. Whether Data Governance, Data Quality, Data Sovereignty, or Artificial Intelligence – Sphinx helps you make your data sustainably usable and extract the greatest possible value from it.

Let's talk about your data strategy and define the next steps together!

Request consultation & schedule an appointment now