{"id":11197,"date":"2022-06-21T10:55:04","date_gmt":"2022-06-21T08:55:04","guid":{"rendered":"https:\/\/www.dp-institute.eu\/data-information-management-are-we-helping-the-business\/"},"modified":"2024-03-20T13:02:23","modified_gmt":"2024-03-20T12:02:23","slug":"making-data-mesh-work","status":"publish","type":"post","link":"https:\/\/www.dp-institute.eu\/en\/making-data-mesh-work\/","title":{"rendered":"The key to making Data Mesh work"},"content":{"rendered":"

Data management challenges<\/h3>\n

Data Management capabilities\u202fhave grown almost exponentially over the last two decades. With ever more innovative data & analytics solutions \u2013 often driven by machine learning and AI \u2013 the possibility of obtaining actionable\u202finsights from data has never been more present.<\/p>\n

Most organizations want to become data-driven, obtain a data culture, or be able to compete hard through data \u2013 yet we only see 27% obtaining a data culture and 38% genuinely becoming data-driven.<\/p>\n

Meanwhile, most business users are looking at this with a sense of disillusionment:<\/p>\n

\u201c\u2026 great the data team is able to use all these wonderful techniques, but I still don\u2019t quite understand how they\u2019re making my life easier\u2026\u201d. <\/em><\/strong><\/p><\/blockquote>\n

As a data team, have you ever wondered:<\/p>\n