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Data-Driven Companies Leverage OCR for Optimal Data Quality

Smart Data Collective

Extraction of credit cards data. For online registration of new customers, you may need to extract credit card data, and you as a bank may need to extract credit card information. Secure, fast, and reliable, here is how in just three steps the OCR software extracts the data you need.

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Why Data Quality and Data Governance are Important to Achieve Compliance

Analysts Corner

In this article, we present a brief overview of compliance and regulations, discuss the cost of non-compliance and some related statistics, and the role data quality and data governance play in achieving compliance. In 2020 alone, banks were fined $14.2 Why are data Governance and data quality needed for compliance?

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26 Interesting Statistics around Big Data, Data Science, and Analytics Market, Jobs, and Salaries

Analysts Corner

According to Healthcare Big Data Analytics Market Report 2022 , by 2027, big data in healthcare is predicted to reach $71.6 By 2025 , the market of big data analytics in banking is predicted to grow to $62.10 By 2027 , the use of big data application database solutions and analytics is estimated to reach $12 billion.

Big Data 246
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Pioneering AI Frontier: Integrated Knowledge Bases

Analysts Corner

Banking sector : integrating credit information, accounts, and financial transactions. Commercial : Customer Relationship Management (CRM) systems that integrate customer data and preferences to identify greater business opportunities in personalized campaigns and actions. Healthcare : sharing patient records and examination histories.

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Deep Learning is Critical for Modern Small Business Accounting

Smart Data Collective

Clearing account: A type of bank account used in international trade to settle transactions between countries. You can use deep learning technology to deal with the following issues: Deep learning technology is ideal for improving data quality in finance and accounting. Accounting Terms That You Should Know About.

Finance 250
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Data Governance: How Can It Be a Crucial Enabler for Managing Data Risks?

Dataversity

In July 2021, one of the world’s leading banks revealed a loss of $5.5 The bank identified the “failure of management and controls” in its investment banking arm as the fundamental cause of this loss. billion due to a default by one of its customers.

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Building a Data Science career without coding

The BAWorld

Data Quality Analyst The work of data quality analysts is related to the integrity and accuracy of data. They have to sustain high-quality data standards by detecting and fixing issues with data. They create metrics for data quality and implement data governance procedures.