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In light of recent, high-profile data breaches, it’s past-time we re-examined strategic datagovernance and its role in managing regulatory requirements. for alleged violations of the European Union’s General Data Protection Regulation (GDPR). How erwin Can Help.
In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective datagovernance. Today we will share our approach to developing a datagovernance program to drive data transformation and fuel a data-driven culture.
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The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with businessobjectives. This requires a deep understanding of the organization’s strengths and weaknesses.
We internally analyzed the improvements we had to provide and, together with the CIOs in all the countries where Mapfre operates, we defined a very solid strategy that aligns with the businessobjectives, and we’re implementing that now. This change in platform also entails a datagovernance model and operational changes.
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In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels.
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The use cases and customer outcomes your data supports and the quantifiable value your data creates for the business. How does defining data landscape in this way help your organisation? In the next section, we’ll discuss more about why your data landscape is so vital to your company’s success.
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