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In this issue:
The freely-available rules and guidance developed by an industry coallaborative help public companies detect inconsistencies or errors in their XBRL-formatted financial data. Several tools are certified for implementation of the approved rules.
In this issue: Walmart anti-corruption costs. Walmart has been mired in a long-running investigation of possible bribery to secure permits in Mexico, India, and elsewhere. Just how much money has this cost the world’s largest company since the investigation began in 2011? At least $820 million—a number you can find quickly and easily in the […more]
The XBRL US Data Quality Committee responded to FASB’s request for comment, which resulted in significant changes to the Final 2017 taxonomy released for SEC review and approval as compared to the draft.
XBRL US and ConsenSys, a blockchain technology company, announced the formation of a working group to develop standards for tokenization of assets on the blockchain. A token is a digital representation of an asset, e.g., debt, equity, cash or a physical asset (i.e. a vehicle or a piece of artwork).
In this issue: Predictive analysis and going concern warnings. A new standard goes into effect this month to impose more discipline around how companies assess their ability to continue as a going concern. Calcbench did an experiment to see how quickly we could identify filers with multiple poor financial metrics—which, in turn, could help analysts […more]
In this issue: Time between filing the earnings release and the 10-Q. Ever wonder how much time companies take between filing their earnings release and then following up with the Form 10-Q to report those earnings? We did, so we did some digging. While the average time gap in second-quarter 2016 was four days, when […more]
Remarks made at the Big Data Conference on “A Vision for Data at the SEC” reiterating her suggestion that the SEC create a Digital Disclosure Task Force to develop a strategy for how the SEC acquires and provides data to investors and market participants. She also suggests that the SEC should create a new “Office […more]
Issuers encouraged to use the rules to identify and resolve data quality errors in financials XBRL US announced that it had published the second set of approved rules and guidance developed by the Data Quality Committee (DQC), which are now freely available for issuers to use to identify and correct errors in their filings. The […more]
XBRL US announced the start of its third public exposure period for guidance and rules developed by the Data Quality Committee (DQC), which is funded through the Center for Data Quality. The Committee is responsible for developing guidance and validation rules that can prevent or detect inconsistencies or errors in XBRL data filed with the SEC and focuses on data quality issues that adversely affect data analysis.
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