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.
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.
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.
We’re back in Stockholm this September 26th, and passes are nearly sold out for the fourth annual Data 2020 Summit. We thought we’d give you a quick look at what you’ll be missing if you don’t secure a pass…
Everyone agrees that there is value in data science and advanced analytics. But still, companies are struggling to see that value in their business. Francisca Zanoguera from Expedia at her presentation at the Data Innovation Summit 2019, draws attention to a McKinsey study showing that only 8% of companies have managed to implement machine learning into their processes and only 12% have managed to go beyond the experimentation phase.
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?
With the explosion of data and the value it brings for companies, hiring a Chief Data Officer (CDO) has been on the agenda of the majority of companies. Companies are in a literal race trying to find Chief Data Officers. It’s only natural that executives are enthusiastic about welcoming a CDO in this big data era.
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