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Using Data-Driven Lean Thinking to Optimize Business Processes

Smart Data Collective

A growing number of businesses use big data technology to optimize efficiency. However, companies that have a formal data strategy are still in the minority. Only 32% of executives have officially laid out a data strategy to drive their organization. What is Lean Thinking?

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5 Things Data-Driven Companies Must Look for When Buying Web Hosting

Smart Data Collective

There are a lot of things that companies need to take into consideration when managing their data. One of the most important is selecting the right web hosting plan. The Importance of Selecting the Right Hosting Plan for Your Data-Centric Business. Big data is important for helping manage all of these things.

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

AWS Big Data

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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Public or On-Prem? Telco giants are optimizing the network with the Hybrid Cloud

Cloudera

In the Hybrid Data Architectures survey report conducted by 451 Research, a part of S&P Global Market Intelligence, nearly 60% of telco organizations reported having repatriated data/analytics workloads from public cloud environments to on-premises/colocation data center environments during the past 12 months.

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Real-time streaming data top picks you cannot miss at AWS re:Invent 2023

AWS Big Data

Join us as we delve into the world of real-time streaming data at re:Invent 2023 and discover how you can use real-time streaming data to build new use cases, optimize existing projects and processes, and reimagine what’s possible. High-quality data is not just about accuracy; it’s also about timeliness.

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How Amazon Finance Automation built a data mesh to support distributed data ownership and centralize governance

AWS Big Data

Consumers prioritized data discoverability, fast data access, low latency, and high accuracy of data. These inputs reinforced the need of a unified data strategy across the FinOps teams. We decided to build a scalable data management product that is based on the best practices of modern data architecture.

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The Data Behind Tokyo 2020: The Evolution of the Olympic Games

Sisense

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.