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According to a recent survey by Alation , 78% of enterprises have a strategic initiative to become more data-driven in their decision making. According to Gartner, dataculture is a top priority for chief data officers (CDOs) and chief data & analytics officers (CDAOs). What is DataSearch & Discovery?
Of the three pillars of dataculture, data literacy is the most challenging to achieve, since it requires broad up-skilling across the organization and, sometimes, fighting human nature itself. This post, the third in a four-part series on dataculture, focuses on data literacy. What is Data Literacy?
Dataculture is top of mind for nearly every data leader. According to a recent Gartner survey , dataculture was the #1 priority for chief data officers (CDOs). McKinsey, the management consulting firm known for its deep knowledge of the C-suite, is writing about dataculture and why it matters.
Data-driven decision-making is good for business. Companies that successfully use data for decision-making speed time-to-market, better meet customer needs, and accelerate time-to-value through greater speed and agility. 1 Dataculture is a critical component of a data-driven enterprise. And only 24.4% And only 24.4%
The same could be said about data governance : ask ten experts to define the term, and you’ll get eleven definitions and perhaps twelve frameworks. However it’s defined, data governance is among the hottest topics in data management. This is the final post in a four-part series discussing dataculture.
To be competitive, organizations are trying to create a dataculture. But what IS a dataculture ? A dataculture empowers everyone in your organization with data-driven insights, which enable you to easily collaborate around shared goals to improve your organization. This is a 2-part blog.
And now, arguably the greatest rivalry the world (well, at least the data community) has ever witnessed: Data Fabric vs Data Mesh! Data fabric and data mesh are both having a moment. Gartner calls data fabric the Future of Data Management 1. Gartner on Data Fabric. Thoughtworks on Data Mesh.
Data governance is growing in urgency and prominence. As regulations grow more complex (and compliance fines more onerous) organizations aren’t just adapting data governance frameworks to drive compliance – they’re leveraging governance to fuel a growing range of use cases, from collaboration to stewardship, discovery, and more.
How do you think about your data? Yet when we consider the data items that represent these things, our legacy systems have led us to the limited understanding that data is made of discrete objects, which hardly interrelate. Or is it only related to the data your colleagues send to Google Merchant Feed? Probably not.
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