Master data is one of your most valuable business assets, powering the processes that drive your organisation. The best-designed processes will become ineffective if their underlying master data is poor. We work to build governance into your master-data maintenance processes to prevent poor quality data at source.

With better quality data comes improved operational efficiency, trusted analytics, reduced risk and tangible cost-savings - all achievable through the implementation of a technology-driven data quality framework. We believe that data ownership and accountability are key to achieving higher data quality and will work with you to build the foundations to support a data-driven culture.

The rise of disparate data landscapes, adoption of new analytical techniques such as machine-learning and ever-increasing volumes of data presents organisations with new challenges. We help organisations to move beyond legacy tools and techniques to gain deeper insight, make better decisions and react faster.

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1. SAP Master Data Governance

As a leading partner for SAP Master Data Governance, we have extensive implementation experience delivering a range of services including feasibility studies, proof of concepts and technical delivery.

Our experience spans a range of vertical functions, data domains and sectors within global organisations helping them improve their data accuracy, internal resource efficiency and process control.

2. Intelligent data quality

Our unique approach to data quality sees us combine extensive project experience in technologies such as SAP Information Steward, Data Services and SAP HANA with a business-friendly front-end to help you take ownership of your data. Our library of technical content, pre-built cleansing and integration tools and project accelerators will also de-risk your implementation, while reducing time-to-value.




 

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3. Data integration

We help you solve your business data challenges using market-leading technologies such as SAP Data Hub and SAP Process Mining.

 

The services we deploy range from classic data integration, to orchestrating and analysing complex processes across disparate system landscapes.

 

Our approach can bridge the gap between enterprise data and big data structures to improve the integrity of your organisation’s business intelligence and analytical operations.

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“Now, we’re all working from one set of numbers and we’ve made life easier for our sales team.”

SEB JONES,

Supply Chain Director, Müller Dairy (UK)