It can’t be stressed enough that if your company wants to do the cool stuff with data like AI, machine learning, analytics, you have to have control over your data in a form of a solid data governance framework. It’s similar to wanting to build a fancy facade on your house, but you haven’t built the foundation – practically impossible.
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.
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.
When it comes to data governance policy, companies are aware they need one, but few of them know where to start. A lot of them are at a crossroads when it comes to creating a policy that works for their organisation. But the first instinct of reaching to a standard policy wouldn’t work because it won’t meet your corporate strategy.
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?
As early as 2006, Gartner predicted that 90% of organisations would fail in the efforts to implement data governance. And today, these predictions have become reality. According to David Dadoun, Senior Director Business Intelligence and Data Governance at Aldo Group, only 10% of organisations that have deployed data governance are going to get any value from it. This leads us to ask: why is that?
End of content
No more pages to load