Remove 2022 Remove Data Quality Remove Data Strategy Remove Data Warehouse
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7 enterprise data strategy trends

CIO Business Intelligence

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.

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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. In 2022, AWS commissioned a study conducted by the American Productivity and Quality Center (APQC) to quantify the Business Value of Customer 360.

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AWS Lake Formation 2022 year in review

AWS Big Data

Data governance is increasingly top-of-mind for customers as they recognize data as one of their most important assets. Effective data governance enables better decision-making by improving data quality, reducing data management costs, and ensuring secure access to data for stakeholders.

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How AWS helped Altron Group accelerate their vision for optimized customer engagement

AWS Big Data

Data-Driven Everything engagement Altron has provided information technology services since 1965 across South Africa, the Middle East, and Australia. Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices.

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How To Liberalize Data Access To Empower Data Users

BI-Survey

Data culture eats data strategy for breakfast” has become a popular saying among data and analytics managers and executives. Even the best data strategy cannot fulfill its potential if the data culture in the company does not match it.

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Fabrics, Meshes & Stacks, oh my! Q&A with Sanjeev Mohan

Alation

The data warehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. Today, the brightest minds in our industry are targeting the massive proliferation of data volumes and the accompanying but hard-to-find value locked within all that data. Architectures became fabrics.