Remove Data Processing Remove Data Strategy Remove Metrics
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CDOs: Your AI is smart, but your ESG is dumb. Here’s how to fix it

CIO Business Intelligence

However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive. Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams.

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

AWS Big Data

The following figure shows some of the metrics derived from the study. A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

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How ANZ Institutional Division built a federated data platform to enable their domain teams to build data products to support business outcomes

AWS Big Data

This post explores how the shift to a data product mindset is being implemented, the challenges faced, and the early wins that are shaping the future of data management in the Institutional Division. Consumer feedback and demand drives creation and maintenance of the data product.

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Cindy Howson: Best Practices for AI and the Joy of Hosting a Podcast

DataRobot

When I offered recent podcast guest Cindi Howson the opinion that data science has become much simpler, she had a ready response: “Are you telling me it’s not hard anymore?”. But Howson knows her data science. One challenge, Cindi says, is convincing HR to apply the right metrics to hiring. I love being a host,” she says. “I

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How CIOs can be pillars of stability in an uncertain world

CIO Business Intelligence

To wit, two-thirds of enterprises do not have a data strategy. And among the companies that do have a strategy, just 14% of their employees “have a good understanding of their company’s strategy and direction.” In other words, neglect the right uncertainties.

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4 Key Tips in Developing a Data Strategy (Tip #1 is Crucial)

Alation

We continue to discover why organizations with a top-tier data culture lead their competitors. In a statement that captures this point, Gartner predicts that by next year, “organizations that promote data sharing will outperform their peers on most business value metrics.” Tip #1: A Good Data Strategy Starts With People.

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Unlock scalability, cost-efficiency, and faster insights with large-scale data migration to Amazon Redshift

AWS Big Data

The success criteria are the key performance indicators (KPIs) for each component of the data workflow. This includes the ETL processes that capture source data, the functional refinement and creation of data products, the aggregation for business metrics, and the consumption from analytics, business intelligence (BI), and ML.