As a business leader, you are faced with a fundamental challenge: your data should no longer be a source of uncertainty, but rather the foundation for confident, strategic decisions. However, in reality, you may encounter persistent obstacles, such as a lack of coordination between departments, inconsistent reports, and decisions made intuitively rather than based on sound reasoning.
In the business world, a lack of transparency, duplicate records and unclear responsibilities are the norm rather than the exception. Our proven plan and real-world expertise are at your disposal.
Apsolut is proud to support organisations like yours as a trusted partner in complex transformation programmes. We listen, analyse, challenge, and co-create solutions that work – on a technical, organisational and human level.
We'll guide you step-by-step with a structured roadmap.
Assessment – Where do you stand today?
Strategie – What do you actually need?
Technology selection – SAP MDG, CDQ or other tools?
Implementation & roadmap – How will it all come together and scale?
The necessity of the full journey depends on the specific business case. However, all journeys begin with a clear sense of direction – and that is precisely what we provide.
Master data can be more extensive and intricate than it may seem at first glance. To help you avoid heading off blindly, we begin with a Data Maturity Assessment to identify your current position:
Once your starting point is clear, we will help you define your personalised data journey – a roadmap tailored to your goals for the years ahead.
If your data situation remains unclear, you risk more than just imprecise analyses: You are also wasting potential in process automation, jeopardising future innovation projects and missing out on the foundation on which modern AI systems are built.
The longer the transformation is postponed, the more expensive it will be, and the wider the gap with data-driven competitors will become.
With high-quality master data, you gain operational clarity, meaningful reports and a reliable basis for decision-making. It creates trust within the company, enables automated workflows - and lays the foundation for modern technologies such as AI and predictive analytics. Your data becomes a competitive advantage.
Because it's about more than just technology!
We are your change partner and the #1 in Intelligent Spend Management & Digital Business Transformation.
We know: Successful master data management requires more than systems. It requires an understanding of your organisation, your culture, your people.
We help you to win over stakeholders, bring end users on board and create a shared reality from fragmented information sources - your ONE REALITY.
Short, concise and easy to understand. This gives you an immediate overview of what it's all about and what could be relevant in your case:
Data governance refers to the overall management of data stocks within an organisation. It comprises processes, guidelines and standards for the collection, storage, processing and shared use of data. The aim is to ensure data quality, data protection, security and compliance - while maximising the value of the data for the company.
Data culture describes the values, practices and attitudes within an organisation when dealing with data. A strong data culture promotes data-driven decisions, increases the data literacy of employees and supports continuous improvement through data-based insights.
Data literacy is the ability to read, analyse, interpret and make sense of data. This also includes an understanding of data sources, statistical concepts and visualisation techniques - a key skill for any modern organisation.
Data strategy encompasses an organisation's strategic approach to managing, analysing and using data. A good data strategy defines goals, prioritises data types and determines how data is collected, processed and used to promote innovation and optimise processes.
Master Data Management (MDM) stands for the holistic planning, control and maintenance of master data used throughout the organisation. MDM ensures the consistency, quality and availability of central data - for operational processes, analyses and strategic decisions.
Data quality describes the accuracy, completeness, consistency and up-to-dateness of data. Only high-quality data enables reliable decisions, precise analyses and stable processes.
Metadata management refers to the structured maintenance and utilisation of information about data - i.e. data about data. It increases the transparency, traceability and usability of data inventories while also supporting compliance and efficiency.