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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

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Empowering data-driven excellence: How the Bluestone Data Platform embraced data mesh for success

AWS Big Data

In the ever-evolving world of finance and lending, the need for real-time, reliable, and centralized data has become paramount. Bluestone , a leading financial institution, embarked on a transformative journey to modernize its data infrastructure and transition to a data-driven organization.

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Product lifecycle management for data-driven organizations 

IBM Big Data Hub

PLM delivers value by standardizing product-related processes, from ideation to product development to go-to-market to enhancements and maintenance. The key foundation of a strong PLM strategy is healthy and orderly product data, but data management is where enterprises struggle the most.

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Cloudera: Enabling the Cloud-Native, Data-Driven Techco

Cloudera

In addition to that, the march of network virtualisation combined with the cloudification of IT have driven further changes in operations. Their processes are ‘data driven’, their networks are trending towards automation, and AI systems are powering customer engagement in store , online and at home.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. For example, you can use C360 to segment and create marketing campaigns that are more likely to resonate with specific groups of customers. faster time to market, and 19.1%

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Incremental Strategies to Move Your Data Strategy Forward Remove Obstacles to Unlock Possibilities in Financial Services

Cloudera

Data-fuelled innovation requires a pragmatic strategy. This blog lays out some steps to help you incrementally advance efforts to be a more data-driven, customer-centric organization. The financial sector’s evolution is unleashing myriad demands on firms operating in the market. Embrace incremental progress.

Strategy 109
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CDOs’ biggest problem? Getting colleagues to understand their role

CIO Business Intelligence

Chief data officers have a lot to think about these days. Chief among them, they must ensure responsible, compliant use of their organizations’ data in the face of increasingly complex regulatory environments across the globe. At the end of the day, it’s all the company’s data or the consumer’s data,” he adds.