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Data Governance with Maextro

Adding real value to existing SAP investments via powerful rule-based governance across your data landscape. Keep data accurate, complete, up-to-date and redundant data free with the only UI5 no-code MDG solution in the world.

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Data Governance: An essential for modern Enterprises

Data governance is a critical component for modern enterprises as data plays an increasingly pivotal role in decision-making and business operations. With vast volumes of data being generated, organisations must ensure its accuracy, security, and compliance with regulations. A robust data governance framework establishes clear policies, roles, and responsibilities, promoting data integrity and trustworthiness. It enables companies to make informed decisions based on reliable insights and enhances customer satisfaction through better data-driven services. By safeguarding sensitive data, businesses can mitigate risks of breaches and legal liabilities. Overall, data governance empowers enterprises to optimise data utilisation, drive innovation, and maintain a competitive edge in the data-centric landscape.

Making Data Governance simple

Maextro exists because of one unavoidable fact- MDG is complex, tedious and boring. Nevertheless, MDG is also unavoidably essential, so Maextro exists to relieve those typical pains and simplify master data governance. It does so by the following means:

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Maextro is a one-of-a-kind MDG solution that combines the simplicity of UI5 interfaces with the convenience of no code deployment- a previously unheard-of concept. Maextro can be configured in the no-code menu, reducing deployment time and skills required for set-up & management, contributing to achieving a faster ROI.

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Maextro boasts powerful automation capabilities to manage the entire master data lifecycle. From Robust request creation & document information extraction capabilities, right through to analytics for strategic decisions, Maextro carries data to where it needs to be for users to get more our of it.

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All-round Governance

Maextro is the Swiss army knife of the master data governance world. No matter the situation- it has a tool for the job. For data migration or just general quality maintenance Maextro has duplicate check and data remediation tools. It can extract data from emails or Excel spreadsheets and automatically know where to store it. Maextro is ready for any modern master data task or issue which it encounters.

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Proactive management of master data through role-based, integrated user actions supported by Maextro’s pre-automated workflow and IMG rule engine (all easily configurable without the need for highly skilled resources typically required in data management solutions).

3-Step Data Governance

Create Request

The Create Request application handles your requests for data creation, change, extension and alignment. This is the entry point of the Maextro workflow and kick-starts your data-gathering and approval process. Comes delivered in standard GUI Transactions, or simple UI5 applications via the SAP BTP (Business Technology Platform). It also includes capability of non-SAP users to create requests in SAP via the Maextro bot iRPA services by submitting a spreadsheet via e-mail.

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Task List

The Task List is your hub for all Maextro tasks. Powerful filters allow easy sorting between your pending tasks, whether they be approvals, reviews, data gathering tasks or final SAP approvals.

Intuitive visuals allow you to easy determine upcoming overdue tasks, high priority tasks or tasks previously started but pending completion.

This powerful application is available as a standard SAP GUI transaction, or as simple UI5 application via the SAP BTP (Business Technology Platform).


The Approve Request application does as the name suggests. Sent to the relevant configurable owner groups, approve request approves, rejects, or sends the create request back to the requestor for review.

Add attachments or comments to communicate with the next or previous users in the process, and confirm the information from the requestor is correct before approving for further data collection.

Comes delivered in standard GUI transaction, or a simple UI5 application via the SAP BTP (Business Technology Platform) that allows you to action approvals on a mobile device!

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Simplify your Data Governance Today

Contact us today to start simplifying your data governance with Maextro. Say goodbye to manual tasks, and hello to efficiency and improved data quality. Let Maextro empower your organisation to achieve data governance success. Simplify your data governance journey with Maextro today!

Data Governance FAQs

Data governance is the systematic management of an organisation's data to ensure its accuracy, security, and proper utilisation. It involves establishing policies, processes, and guidelines to maintain data quality, protect sensitive information, and comply with regulations. Data governance aims to optimise data's value by organising it effectively, establishing responsibilities to data stewards, and implementing data quality procedures. Utilising MDG, businesses can make informed decisions, mitigate risks, and build trust in their data assets.

A data governance framework is a structured and standardised approach that outlines the rules, processes, roles, and responsibilities for effectively managing an organisation's data. It provides guidelines for data quality assurance, data security, data usage, and compliance with regulations. The framework establishes data governance committees, data stewardship roles, and communication channels to ensure proper oversight and decision-making. By implementing a data governance framework, organisations can enhance data trustworthiness, improve decision-making, and optimise data utilisation to support their business objectives.

Data governance has a profound impact on a business by promoting data integrity, security, and effective utilisation. It enhances decision-making through reliable and accurate data, fostering better insights and strategic planning. Improved data quality leads to increased customer satisfaction and trust, while enhanced data security mitigates risks of breaches and regulatory non-compliance. Data governance facilitates compliance with data privacy laws, minimising legal liabilities. Efficient data management optimises operational processes, reducing costs and boosting efficiency. Overall, data governance empowers businesses to harness data as a valuable asset, driving innovation, competitive advantage, and long-term success in today's data-driven world.

User adoption is crucial in simplifying data governance because when users understand and embrace data governance practices, they willingly comply with established policies and processes. Educating and involving users in the data governance initiatives foster a culture of data responsibility and accountability, making it easier to enforce data standards and quality control. With active user participation, identifying data issues, resolving conflicts, and maintaining data accuracy becomes more streamlined. Furthermore, user feedback and collaboration can lead to continuous improvement of data governance practices, ensuring that the governance framework remains relevant and practical, ultimately leading to successful and effective data governance implementation.

User adoption is always more successful when there is less to adopt. Via Data Governance Automation tools, like Maextro, the skills required to run data governance processes are majorly reduced. Maextro does all the tedious stuff, resulting in simpler processes.

• Establish a clear vision: Define the objectives and expected outcomes of data governance aligned with business goals.

• Form a governance team: Create a cross-functional team with representation from IT, data stewards, compliance, and business units.

• Assess current state: Evaluate existing data management practices, identify gaps, and understand data needs.

• Develop policies and standards: Create data governance policies, data quality standards, security protocols, and data lifecycle guidelines.

• Appoint data stewards: Designate individuals responsible for specific data sets and ensure clear roles and responsibilities.

• Educate and engage: Train employees on data governance concepts and encourage buy-in through communication and involvement.

• Implement tools and technology: Utilise data governance tools, such as Maextro to automate processes, monitor data, and enforce policies.

• Monitor and adapt: Continuously assess data governance effectiveness, solicit feedback, and make necessary adjustments to improve governance practices.