Remove Customer Experience Remove Data Governance Remove Data Warehouse
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Dark Data: How to Find It and What to Do with It

Timo Elliott

Like the proverbial man looking for his keys under the streetlight , when it comes to enterprise data, if you only look at where the light is already shining, you can end up missing a lot. Remember that dark data is the data you have but don’t understand. Data sense-making. Storing data isn’t enough.

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How Data Management and Big Data Analytics Speed Up Business Growth

BizAcuity

quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second? Have you read any of the case studies involving how Netflix and Spotfy leverage big data for creating unique customer experiences? They tell you how big data helped them create a mark in today’s world.

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The Complete Guide to Reverse ETL

Astera

Reverse ETL (Extract, Transform, Load) is the process of moving data from central data warehouse to operational and analytic tools. How Does Reverse ETL Fit in Your Data Infrastructure Reverse ETL helps bridge the gap between central data warehouse and operational applications and systems.

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What Is Data Management and Why Is It Important?

Astera

However, this does not mean that it’s just an enterprise-level concern—for that, we have enterprise data management. Even small teams stand to enhance their revenue, productivity, and customer experience through an effective data management strategy. It essentially supports the overall data governance policy.

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What is Data Modernization? Benefits, Importance & Components

Astera

The transition includes adopting in-memory databases, data streaming platforms, and cloud-based data warehouses, which facilitate data ingestion , processing, and retrieval. The upgrade allows employees to access and analyze data easily, essential for quickly making informed business decisions.

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Data Quality Framework: What It Is and How to Implement It

Astera

As important as it is to know what a data quality framework is, it’s equally important to understand what it isn’t: It’s not a standalone concept—the framework integrates with data governance, security, and integration practices to create a holistic data ecosystem.

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Use Case Analysis for Business Intelligence Projects

Business Analysis Knowledge Share

Enhanced Data Governance : Use Case Analysis promotes data governance by highlighting the importance of data quality , accuracy, and security in the context of specific use cases. This may involve data from internal systems, external sources, or third-party data providers.