Data strategy consulting for data-driven companies

A well-thought-out data strategy consultation forms the foundation for successful digitalization. We support companies in analyzing their data architecture, sustainably improving data quality, and establishing viable data management.
Data strategy consulting that works




Reinventing your data

DEFINITION OF A DATA STRATEGY CONSULTING
What does data strategy consulting mean?
Data strategy consulting describes the systematic development of a roadmap for handling company data. Our consultants analyze your current data landscape, identify potential, and develop a customized roadmap for your company.

The result
analysis
Recording the current data landscape and identifying potential.strategy
Development of a customized roadmap with clear milestones.implementation
Practical implementation with measurable results.CORE AREAS OF A DATA STRATEGY CONSULTING
The four pillars of a successful data strategy
Data Quality Management
Systematic processes for high data quality. From collection and validation to continuous monitoring.Master data management
Centralized management of business-critical data such as customers, products, and suppliers. A uniform database for all systems.Data virtualization
Access distributed data sources without physical consolidation. Quickly integrate different systems.Data Governance
Clear rules, responsibilities, and processes for handling data throughout the company.Each area is interlinked, ensuring a comprehensive solution to your data challenges.
BENEFITS OF DATA STRATEGY CONSULTING
Why data strategy consulting?
Different stakeholders benefit in different ways from a clear data strategy.
For the management

Informed decisions
Reliable data instead of gut feelings. KPIs you can trust.
Reduced risks
GDPR and BDSG compliance is systematically fulfilled.
ROI in 6 to 12 months
Measurable cost savings through optimized processes.For IT and Operations

No more data silos
Integrated systems with a uniform database.
Improve data quality
Automated validation. Error rates drop by 60 to 80 percent.
Skalierbare Architektur
Zukunftssichere Infrastruktur, die mit Ihrem Unternehmen wächst.For specialist departments

Self Service Analytics
Direct data access without going through IT.
Trustworthy reports
No more discussions about different figures.
Faster insights
From question to answer in minutes instead of days.OUR DATA STRATEGY CONSULTING PROCESS
How does consulting work at savvytec?
Each area is interlinked, ensuring a comprehensive solution to your data challenges.
1

Analysis and assessment
We map your current data landscape: Which systems exist? Where is the business-critical data located? What is the quality like? Which processes are already data-driven?
Duration: 2 to 4 weeks
2

Strategy Development
Based on the analysis, we develop your individual data strategy: target architecture, governance framework, prioritized measures, and a roadmap with clear milestones.
4 to 8 weeks
3

Quick wins and pilot projects
First visible successes: Data quality management for business-critical data sets. Establishment of initial master data management processes.
From week 6
4

Implementation and scaling
Step-by-step implementation of the roadmap. Integration of data virtualization where it makes sense. Building data expertise within your team.
Ongoing
5

Continuous optimizatio
Monitoring data quality. Regular reviews. Adaptation to new requirements and changing business objectives.
In the long term
What others say about our performance
From strategy to implementation: savvytec DataHub
Even the best strategy is of little use without technical implementation. With savvytec DataHub, we put your data strategy into practice: central data platform, integrated master data management, automated data quality management, and flexible data virtualization.
When is data strategy consulting worthwhile?
Common triggers
data silos
quality assurance
digitalization
compliance

You need us when data is stored in more than five isolated systems.

You need us when data is stored in more than five isolated systems.

You need us when data is stored in more than five isolated systems.

You need us when data is stored in more than five isolated systems.

You need us when data is stored in more than five isolated systems.
FAQs
Frequently asked questions
These FAQs cover the most important decision criteria:
cost, time, integration, ROI, complexity, autonomy,
functionality, security, differentiation, and risk minimization.

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Ready for clear data management?
During our conversation, we will understand your data challenges,
advise you on possible approaches, and plan the next steps together.

Daniel Pudelko
CEO