Future-Proof your Data Management
Data Management & Governance
Unlock the full potential of your data with valantic’s comprehensive data management and governance approach. Our solutions enable you to ensure a qualitative and robust data foundation for creating insightful data products (Artificial Intelligence and Business Intelligence), maintain regulatory compliance, and effectively manage and leverage your data for long-term business success. Data Management & Governance is also crucial to Data Architecture and Data & AI Strategy, which are some of valantic’s core competencies and should be handled as a key initiative for companies.
500+
valantic experts guiding your data evolution
1,000+
client projects delivered
100+
active client engagements in data projects
Make Data Management & Governance work
Transforming data management from unpleasant bureaucracy into a valuable asset
Many organizations face a variety of challenges in their data management, including unclear roles and responsibilities, siloed departments, poor data quality, and more. This leads to inefficient decision-making and impedes the creation of more value or the increase of internal efficiencies. We assess our clients’ data maturity, design the operating model for data governance, and help to implement the suitable data governances or even automate data operations with respective tools for our clients’ needs. By doing so, we collaborate closely with our clients to align their data governance practices with their business objectives, models, and operations.
Our extensive experience working with a diverse range of clients has enabled us to develop a comprehensive approach to data management. This framework is tailored to assess, design, and transform your data organization and guide you in achieving the full potential of your data.
Our Data Management & Governance Services
Data Governance Organization
Many companies face challenges in terms of transparency and the distribution of roles and data responsibilities across the organization. This can lead to the creation of internal silos, which can hinder overall efficiency. These organizational issues impede a company’s ability to manage their data effectively. An efficient and effective data governance organization is the foundation of your company’s data management activities. This is where the responsibilities of data handling are distributed, relevant decisions are made, and data operations are orchestrated. A comprehensive assessment of your organization’s data maturity will help define the scope of an optimized data organization. We can work with you to define your objectives and take the first steps toward progress, whether you require a highly federated data governance model, a more centralized setup, or a hybrid organization orchestrated by a ‘Data Value Office’. Moreover, we ensure that the induced organizational change is supported properly by training, enabling and communication measures in order to anchor the new way of data operations within your organization.
Policy Standardization
The lack of consistent data standards across different business units or departments can hinder the effective utilization of data. To address this challenge, clear and specific guidelines and transparent overall processes are essential within data governance to ensure the consistent handling of data and create synergies in data operations. What is the lifecycle of master data? How can you guarantee that your data is searchable, accessible, and meets the required quality standards? Is there a unified approach across departments, or are they operating in silos? We help to identify, streamline, and implement end-to-end data processes and standards required in the specific customer context, such as master data standardization, reporting processes, and data requirements processes embedded in an overall target operating model for data management. Here, we leverage established global standards those set by ECLASS, ISO, and their national partners.
Focus Topic: Master Data Management
Master data is, alongside transactional data, essential core data for companies; therefore, organizations must take control of their Master Data Management (MDM) to gain a strategic advantage. Robust MDM practices guarantee the integrity and consistency of essential data, such as product, supplier, or customer data. This foundation is vital not only for data maintenance but also for enabling seamless digital transformation and enhancing business operations. valantic is a leading provider of tailored solutions that address the challenges of MDM and is also partnering with leading technology providers, enabling us to offer comprehensive and scalable MDM solutions.
Different types of data
Focus topic: AI-Based Master Data Management (MDM)
We are using (Gen) AI in the management of master data to enhance how companies handle their critical master data, employing artificial intelligence to clean, validate, and organize both structured and unstructured data into a uniform format that meets required standards, e.g. in the SAP environment. This system not only automates the detection and correction of common data issues, such as duplicates and inconsistencies, to maintain a ‘Golden Record,’ but also improves data quality by appending metadata, which aids in increasing operational effectiveness during an ERP transformation or in ongoing operations.
Data Quality Management
Data quality is a significant competitive advantage. Many companies encounter difficulties in guaranteeing the quality of their data and in evaluating it accurately. This results in a lack of transparency regarding the status of data quality, which in turn necessitates a significant amount of ad hoc cleanup activities. How do you address data quality issues? Do you have transparency about your data quality metrics? To overcome these challenges, it is vital to implement robust data quality management practices as an integrative part of the overall data governance strategy.
We assist our clients in establishing a suitable data quality process (monitoring, correction, reporting, etc.) and in implementing tools and solutions to check and orchestrate data across various applications, cloud services, and devices. Our objective is to establish a structured data quality management system that guarantees the accuracy, completeness, and timeliness of data, among other quality criteria, and enhances trust and confidence in data for the decision-making process.
Meta Data Management
Robust metadata management is a crucial component of any effective data governance strategy. When essential data assets are scattered across disparate silos and there is a lack of a unified understanding of data within the company, it becomes increasingly challenging to make data work. It is therefore essential to ensure that your data is readily accessible, accurately classified, and contextually relevant, described in order to facilitate its effective utilization. Metadata management entails data mapping, tagging, and cataloging.
By establishing an accessible and centralized source of truth for your data, we help you bridge gaps in your company’s data landscape, reducing complexities associated with redundant, inconsistent, and outdated data. Besides developing the respective metadata management processes, valantic can support the selection, implementation, and rollout of the right metadata management tool for your requirements.
Regulatory Compliance
In today’s business environment, companies in a range of industries are facing increased regulatory scrutiny at both national and international levels. It is vital for businesses to guarantee compliance with data protection regulations, such as the EU Data Act or GDPR, and to fulfill the reporting obligations set out by regulatory bodies. In order to preserve customer and partner trust, it is crucial for businesses to achieve and maintain regulatory compliance within your industry, as well as to avoid significant penalties.
valantic brings years of experience in data protection legal compliance to help clients navigate the complex regulatory landscape. We work closely with technology partners who offer robust compliance tools tailored to highly regulated sectors with sensitive data, such as healthcare and finance.
Enhanced Data Security & Integrity
The prevalence and severity of cyber threats pose a significant risk for companies. At valantic, our client base includes many businesses that have experienced data breaches and cyberattacks. Our expertise lies in anticipating the tactics of malicious actors, monitoring the dark web for data leaks, and providing rapid, skilled crisis support in the event of an attack. Through numerous projects, our team has developed a comprehensive toolbox to enhance your IT and data security, raise user awareness, strengthen entry points, and prepare your business for a variety of potential scenarios with action plans for data breaches or other incidents. Our expertise ensures that your organization can secure and maintain data privacy and security with confidence.
Focus Topic: AI Governance
With the recent rapid evolution of AI technology and applications, many companies are eager to incorporate AI into their processes. However, as regulators enact laws to address disputes and mitigate risks associated with AI, organizations are facing increasing demands to assess, manage, and validate AI-related risks. The recent passage of the EU AI Act is placing even greater emphasis on the need for organizations to establish robust AI governance practices as part of their broader data governance strategy.
valantic has the privilege of partnering with IBM, a renowned leader in AI governance. Their solutions guarantee that AI systems are not only secure and transparent but also ethical. Through a unified and integrated platform approach, valantic and IBM’s WatsonX.governance provide comprehensive support for AI compliance, risk management, and lifecycle management. By leveraging these solutions, your organization can confidently navigate AI implementation while meeting regulatory requirements and mitigating reputational and operational risks. Contact our AI Governance experts to learn more about how we can assist you.
Key success factors for data management
Anchor the need of data governance with an unified vision & objectives
Introduce a lean but tailored role concept and adapt system permissions
Create a comprehensive data map with data domains
Foster exchange, collaboration and communication between data domains
Guide your people through the transformation to a new target operating model for data management
Support operative data management with future-proof tools where useful, e.g. with a data catalogue
We are partnered with the best data management solution providers, including
We always pursue a tool-agnostic approach, ensuring that we consider the needs and requirements of our customers without commercial bias, and act as neutral consultants committed to our customers’ success.
Selected references
Strategic Data Transformation at MD ELEKTRONIK
Learn more
Insights
White Paper: With a Holistic Data Strategy to Efficient Data Management
This whitepaper shows how strategic data management paves the way to a data-driven company, as well as the concrete added value it offers.
Master Data Management
Insufficient master data can cause disruptions in the business process with serious consequences for companies. valantic uses strategic master data management to create a quality-assured basis for efficient business processes, future business models and the digital transformation of your business.
Our Experts for Data Management & Governance
Ju Lee-Schultz
Managing Consultant
valantic
- Digital Transformation
- Software Selection
- Data Strategy & Data Management
- Process Design & Requirements Engineering
Julia Kristlbauer
Manager
valantic
- Data Strategy & Data Governance
- Data Transformation
- Project Management