- Our advices
[Apgar Consulting x TIBCO] 💡 Best Practices for a successful MDM Project, key elements of Data Governance. How to create a data repository in a complex and heterogeneous application environment? 🚀
Data Operations has been a recurring topic over the last few years, especially with the increase in Data Management initiatives and technologies, which struggle and fail to deliver the expected business value. Along with Metadata and Master data, DataOps is the third pillar of the data management “bridge” between “Old IT” and “New IT”, involving implementation of an automated and go...
The confirmation by Gartner Analysts of our leadership position of "Market Guide 2021", for the second year in row, underlines the excellence of Apgar Consulting expertise around the world.
Too many companies are missing out on a vital piece of the data success story. While cutting-edge data management and analytics technologies are a must, updating one’s data culture and way of working is important. Here are some ways to realize a compelling and authentic data culture.
Data management has invaded a professional environment in transition. New trends are born and die every year. This is why major trade fairs, conferences and meetings are so important.
In just a few years, we have moved from a static data management organization to a dynamic organization where the data is co-constructed in a cross-cutting and protean way. Formerly cost centres, information systems are becoming intangible assets.
In the data family, after Big Data, Data Broker, Data Visualization, Data-Driven Marketing and Data Centre, comes Master Data Management! If you do not have data migraine or data nausea, it's a good sign!
Social selling, intensive mobility, work in cross-device mode, fragmentation of business applications, remote work or travelling ... technology supports all employees in their daily lives.
At a time of increasing automation of information systems, machines cannot yet do everything. Humans are indispensable agents in the collection, sharing and integration of data. But is there a risk for the quality of the reference data?
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