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What Is Data Quality and Why Is It Important?

Alation

What is Data Quality? Data quality is defined as: the degree to which data meets a company’s expectations of accuracy, validity, completeness, and consistency. By tracking data quality , a business can pinpoint potential issues harming quality, and ensure that shared data is fit to be used for a given purpose.

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Quality Control Tips for Data Collection with Drone Surveying

Smart Data Collective

Here at Smart Data Collective, we never cease to be amazed about the advances in data analytics. We have been publishing content on data analytics since 2008, but surprising new discoveries in big data are still made every year. One of the biggest trends shaping the future of data analytics is drone surveying.

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How Data Ethics Supports Governance & Monetisation

Alation

Data as an Insight: Operational Improvement. The mandate: Financial services businesses must meet extensive regulatory requirements, which demand full governance including: Data ownership, definitions, agreed-upon data quality rules and results, and lineage (BCBS239, CCAR, etc.).

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Crypto Model Factoring: Data Challenge Podium

Ocean Protocol

It combines a wide range of data sources, including macroeconomic indicators from the World Bank, historical cryptocurrency prices obtained through the CCXT library, and market sentiment data from Google Trends. Key technical indicators such as RSI, MACD, and Bollinger Bands are calculated to enhance the dataset’s predictive power.

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Data scientist

Dataconomy

Data visualization: Creating dashboards and visual reports to clearly communicate findings to stakeholders. Job title history of data scientist The title “data scientist” gained prominence in 2008 when companies like Facebook and LinkedIn utilized it in corporate job descriptions.

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Banking risk management: What does history teach us?

SAS Software

Where were you when the global banking crisis of 2008 hit? I was in banking marketing, to be specific and I supported our mortgage department. I vividly recall our banks chief risk officer repeatedly refusing to enter the adjustable-rate mortgage subprime lending business. Many banks were eating our [.]