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Items tagged with "Granular data"

Using xBRL-CSV for granular data: a proof of concept from XBRL Europe

Demonstrating how the xBRL-CSV format can be used to handle granular data, streamline the reporting process and help users compare and analyse information.

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xBRL-CSV and Granular Data: the AnaCredit example, a Proof of Concept from XBRL Europe

This is a guest post by Vincent Le Moal-Joubel, data scientist and XBRL expert at the Banque de France, based on his presentation at the 28th XBRL Europe Digital Week event on Bank & Insurance reporting, on 23 June 2021. He offers an important proof of concept on the use of xBRL-CSV for European reporting.  […]

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Small files, lots of data: Bank of Russia launches xBRL-CSV reporting

Congratulations to our friends at the Bank of Russia! It has become the first regulator to collect data using the xBRL-CSV format, facilitating the submission, storage and analysis of large volumes of granular data.

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Crushing It: Central Bank of the Russian Federation Embraces Granular Data

This is a guest post by Stanislav Korop, Deputy Director Data Governance Department, Bank of Russia. It is based on his 15 April 2021 session at Data Amplified Virtual, catching us up on the Bank’s new xBRL-CSV framework, which has just been launched for Russian filers. Like many regulators we find ourselves wanting to collect […]

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APRA to collect more granular data

The Australian Prudential Regulation Authority (APRA) has proposed an update to its reporting requirements around Credit Risk Management, designed to improve APRA’s ability to monitor risk. The updated draft ARS 220.0 will collect more detailed and granular data on authorised deposit-taking institutions (ADI’s) credit exposures and provisions.

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New XBRL International Filing Indicators specification paves the way for xBRL-CSV adoption

The XBRL Standards Board (XSB) has approved a Candidate Recommendation release of the Filing Indicators specification.  Filing Indicators are a mechanism used by some XBRL filing systems to enable filers to explicitly record which sections (or templates) within a report they have completed. 

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Estonia aims to standardise Transactional Data

Following the successful introduction of the European e-invoicing standard, Estonia is looking to go granular and make some business data standardised and machine-readable at the transaction level. Part of a wider scheme called the Internet of Business (IoB), the project will use XBRL to standardise financial transactional data. The standard will be adapted to fit […]

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Machine Learning Analysis of Big Data more effective for Credit Scoring

We’ve heard a lot about the potential of fintech to open up access to credit by using big data and alternative data sources to assess risk – but how do these techniques actually stack up when compared to traditional credit scoring? A recent working paper from the Bank for International Settlements (BIS) looks at transaction […]

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Data Amplified 2019: Standardised Data to Transform SME Analytics

Over the past two days Data Amplified has heard a lot about the use of XBRL for standardisation within enterprises. During the plenary Mr Xie Haibin, Deputy General Manager of Finance at PetroChina, presented on how standardised granular data has been beneficial for PetroChina. Xie demonstrated how using structured transactional data has been crucial for […]

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Data Amplified 2019: Granular Data – The Next Frontier?

There is increasing interest in granular data from financial regulators around the world. This means moving thousands of facts around – for example, dealing with transaction data within enterprises. To make sure this data remains meaningful and efficient standards need to provide new ways to exchange information. At Data Amplified 2019 Michal Piechocki, Member of […]

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