The advanced analytics and data warehousing scene is changing with the speed of light. With the advent of big data, streaming data, IoT, and the cloud, the changes never cease. It may seem to be a very different world with different concepts, terms, and techniques. Or is it?
It’s been several years since the term CDO first appearing on the CXO map. We’ve also previously covered presentations from other speakers that have had the position of a CDO and tried to depict what a Chief Data Officer does, their mandate in the organisation as well as challenges related to the position.
Richard Branch, the VP and General Manager at Semarchy, is going to deliver a presentation at the Data Management Stage at the 5th edition of the Data Innovation Summit 2020 where he will touch upon several MDM points such as why it’s important, traditional vs. modern MDM tools, and the evolving data management needs that call for an innovative and comprehensive MDM platform.
Andrey Mostovykh presented Telenor’s practical approach to GDPR, the learnings and revisions of their data processes and tools they used.
To get a better understanding of what has changed in the financial industry regarding data management, we sat down with Martin Walker who spoke at Data Innovation Summit 2018.
This is why this time we are going to look into H&M Group’s data management journey. Alex Astrogold, H&M Group’s Data Management Architect portrayed the other side of the global retail brand’s data coin at Data 2020 Summit 2019.
The airline industry is one that depends on data to function. Data is transforming all step of airlines operations pre- and post-flight, starting from ticket purchase, ground transportation, flight schedules, delays etc. All industries working with data have their own specifics and frequently encounter data fragmentation, especially complex multi-department organisations. But the nature of the airline industry is even more complicated, and consequently, data fragmentation is more pronounced.
Nordic Women and Data Summit is envisioned as an educational, inspirational and networking platform for all women data practitioners in the Nordics.
Data quality is considered as the highest commandment in data management. And it’s with a strong purpose. Only quality data is useful data, and to be quality it must be consistent and unambiguous. All data that is gathered, stored and consumed during business processes directly impacts the success of the business.
Bad data is the number one enemy for data-driven companies. Although organisations are investing money and effort into eradicating bad data, it still presents a challenge. Decisions made on bad data can turn fatal for the business. But how can companies make sure they are aware of it and find ways to deal with it?
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