Data mesh can be a valuable tool for business process and front-end customer service but complexity can cloud the many benefits.
Data mesh technologies aim to make data more accessible and available to business users by directly connecting data owners, data producers and data consumers to improve business outcomes of data-centric solutions as well as drive adoption of modern data architectures.
Data mesh architecture is a decentralized approach that leverages a domain-oriented, self-serve design to enable domain teams to perform cross-domain data analysis on their own. At its core is the domain overseen by a dedicated team and its operational and analytical data. It is especially useful for larger companies that collect, manage, and analyse huge data sets.
Data Mesh solutions are driven by a socio-technical approach based on Eric Evans’ theory of domain-driven design and Manuel Pais’ and Matthew Skelton’s theory of team topologies. At its heart is decentralized management of different data sources using data infrastructures in which the data products (Data Marts , Microservices API’s , Streaming Data etc) are owned and managed by different domain owners using the data pipelines.
Data mesh supports many different operational and analytical uses across multiple domains. Examples of the benefits of data mesh include delivering a customer 360 view to support customer care, reduce average handle time, increase first contact resolution and improve customer satisfaction.
Governance holds the fabric of data mesh together, simplifying the complexity of managing data access controls, driving self-service analytics, helping enterprises complete the journey of being data-driven and most importantly, ensuring trust in the technology and processes involved.
“The data world moves at lightning speed and data mesh platforms are one of the biggest trends we have seen gaining momentum,” says Robert Oakland, commercial director of The Oakland Group.
“Delays in data access and utilisation remain challenging for many organisations. The most common challenges we see are: business reporting taking too long, data integration is just too hard, business complains that the data is incorrect, insights needed to make the right decisions are too slow to find, money is wasted on the latest tech with no discernible ROI and how can I find out whether data mesh is right for my business?”
The Oakland Group has teamed up with data mesh specialist Starburst to offer practical help and support to companies exploring the use of data mesh and what they need to do to deliver value from a new or existing data platform.
The two companies will be at the Big Data LDN show at Olympia on the 21st and 22nd of September and will be demonstrating the use of data mesh solutions for business.
