Data Assessment & Strategy
End the era of data silos
Is your data fragmented across systems and departments, making it hard to achieve a complete and consistent view?
We help you break down these silos by recommending data integration technologies and fostering a culture of collaboration and data sharing.
Data Strategy Consulting
We don’t offer a one-size-fits-all solution. Instead, we develop a customized roadmap to help your organization become truly data-driven.
From data collection to value creation
For many organizations, data and analytics are limited to technical tasks like collecting and analyzing information within specific domains. Today, organizations should view data as a strategic asset, transforming it from a passive resource into a dynamic engine of business intelligence.
The critical question has shifted from ‘How do we process data?’ to ‘How can your data add value to your business?’.
How data strategy consulting can benefit your business
With the rapid expansion of technologies and platforms, many organizations face integration challenges and operational inefficiencies.
With data strategy consulting, you identify areas of complexity, streamline your data environment, and provide actionable recommendations to simplify and optimize your systems. This enables your business to better manage its data landscape and focus on achieving strategic goals.
With the right technologies and a culture of collaboration and open data sharing, you can end the era of fragmented data.
As a data platform integration partner, we deliver customized strategies and ensure a seamless transition to a unified data platform.
Many employees may lack the skills to understand, interpret, and effectively use data to make decisions.
As a learning partner, Xylos helps your team grasp the basics of technology and data, understand its role as a foundation for applications, and explore how it can be used to make informed decisions, empowering your workforce to drive better results.
A strong data strategy helps you comply with privacy regulations and implement robust data governance frameworks, policies, and procedures to protect the confidentiality, integrity, and availability of data.
With the rise of AI tools in mind, we also provide guidance on maintaining data security while enabling speed and innovation, helping your organization strike the right balance between protection and progress.
Emerging technologies like generative AI, edge and quantum computing are transforming the landscape. Make sure your business stays ahead of the curve by understanding and implementing these innovations. We closely monitor them through active participation in conferences, panel discussions, and communities, and share our insights and expertise with you through inspirational sessions or guest lectures. This keeps your organization informed and ready to take advantage of the latest innovations.
Instead of focusing solely on completing specific tasks, this approach emphasizes using data and analytics to create measurable business value.
We work with experts like Starfish Consulting, Terra Reporting, and Möbius to help organizations identify, understand, and define the value of data across departments and business units, ensuring that your data initiatives align with and drive your strategic goals.
Data Maturity Assessment
Is your data ready to drive transformation and innovation? Do you know how to use it effectively? How skilled are your employees?
The Data Maturity Assessment is always based on your specific needs.
It’s also rooted in a proven methodology that assigns a score based on the following pillars:
Data strategy
We assess your data strategy and how it aligns with your business strategy, goals and KPIs.
Data governance
We analyze your existing data governance framework, from quality control to privacy and security.
Data technology
We evaluate your data infrastructure and technologies, including data warehouses and integration tools.
Data culture
We analyze how your organization uses data for decision making, collaboration, and innovation.
Data skills
We assess your employees’ data literacy: how they analyze, interpret, visualize and communicate.
What the Data Maturity Assessment offers you
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An objective assessment of your current data maturity
We review your data infrastructure, processes, skills, and culture using a well-defined model and best practices. -
A clear overview of areas of improvement
We identify specific bottlenecks and areas for improvement in the organization's data strategy, governance, technology, and skills. -
A data-driven transformation roadmap
Based on the assessment results, you get a roadmap with concrete actions and recommendations to increase data maturity and create measurable value from data.
4 results of the
Data Maturity Assessment
- A score or ranking of your current data maturity against benchmarks and best practices, based on a recognized model.
- A detailed analysis of your organization's strengths and areas for improvement in data strategy, governance, technology, skills, and culture.
- A set of recommendations and action items to increase data maturity and maximize the value of data.
- A roadmap outlining the strategic steps and priorities for your organization's data-driven transformation.
Data Governance Advisory
Empower your organization to create a tailored, efficient data governance framework that benefits every aspect of your business.
We view data as a business-critical function that involves all departments and stakeholders (not just IT). The ultimate goal: achieving a people-centric approach, where data is managed and used responsibly, securely, reliably, and compliantly.
“Effective data governance is critical to ensuring reliable analysis and decision making, preventing data breaches, and complying with data protection laws.”
How we assess your data governance
We tailor the scope of our Data Governance Advisory service to match your specific needs and maturity level, typically including the following key elements:
- Defining the data governance vision and strategy
We help you formulate a clear vision, goals, and roadmap for data governance that aligns with your overall business strategy. - Developing the data governance framework
We establish a robust framework with policies, standards, processes, roles and responsibilities for data management, quality, security and privacy. - Implementing data governance tools and technologies
We advise you on and support the selection and implementation of tools and technologies that facilitate data governance processes, such as data catalogs, metadata management systems and data lineage tracking tools. - Setting up and supporting a data governance organization
We help you establish a data governance team with data stewards, data owners and a data governance committee, and define their roles, responsibilities and authority. - Training and raising employee awareness
We provide training and workshops to increase employee data literacy and foster a data-driven culture. - Monitoring and evaluating data governance
We assist in establishing processes for monitoring and evaluating the effectiveness of the data governance framework.
5 real risks of bad data governance
Without good data governance, your organization faces a host of problems that limit your ability to effectively manage and use data.
We help you formulate a clear vision, goals, and roadmap for data governance that aligns with your overall business strategy.
Without clear access controls and security protocols, your organization is at risk of data breaches that can cause significant financial and reputational damage. IBM estimates that the average cost of a data breach is $4.88 million.
Organizations without strong governance risk heavy fines and reputational damage for non-compliance with GDPR or the European AI Act.
Lack of data governance leads to data silos, with data scattered across different systems and departments. This makes it difficult to find and share data, resulting in inefficiency, redundant work, and delayed decision making.
Poor data governance undermines both AI initiatives and digital transformation efforts. Whether it’s based on AI technology or not, innovation relies on high-quality, well-governed data. Without it, algorithms will be trained on unreliable information, leading to inaccurate predictions and failed projects.
