Data security fundamentals: To protect your data, you need to understand it
In the data-driven era, data protection and data security are crucial for companies. However, they can’t protect their data, if they don’t understand it first. We […]
Ensuring data quality from top to bottom at Grundfos
And as data is at the core of their digital offerings, ensuring high data quality along their whole value chains is Grundfos’ most critical priority.
How Aldo Group reinvented its business processes relying on data
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.
The CDO is here to stay. Data is the reason
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.
Data and AI Innovators – Martin Walker
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.
The data management journey of H&M Group
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.
Why having a good data governance policy matters
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.
Ensuring data quality in a complex data environment
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.
What you’re missing if you’re not going to this year’s Data 2020 Summit
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…
This is how Expedia Partner Solutions gets the most out of analytics and data science
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.
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