Remove Customer Experience Remove Data Quality 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. Real-time, cloud-based data ingestion and storage.

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How Data Management and Big Data Analytics Speed Up Business Growth

BizAcuity

Or that the US economy loses up to $3 trillion per year due to poor data quality? 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?

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

Astera

What is a data quality framework? A data quality framework is a set of guidelines that enable you to measure, improve, and maintain the quality of data in your organization. It’s not a magic bullet—data quality is an ongoing process, and the framework is what provides it a structure.

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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 ETL? – Extract, Transform, Load Explained

Astera

ETL provides organizations with a  single source of truth  (SSOT) necessary for accurate data analysis. With reliable data, you can make strategic moves more confidently, whether it’s optimizing supply chains, tailoring marketing efforts, or enhancing customer experiences. So, the data flows in the opposite direction.

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Data Warehousing for Insurance Reporting and Analytics

Astera

The significance of data warehousing for insurance cannot be overstated. It forms the bedrock of modern insurance operations, facilitating data-driven insights and streamlined processes to better serve policyholders. The data warehouse has the highest adoption of data solutions, used by 54% of organizations.

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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. Execution and handling of data operations.