IBM Big Data Hub
FEBRUARY 8, 2024
But while the term ESG was first coined in 2004 by the United Nations Global Compact, the concept has been around for much longer. 1 Slowly but surely, institutional investors started to recognize that companies could potentially improve financial performance and risk management by focusing on ESG issues like greenhouse gas emissions.
CIO Business Intelligence
SEPTEMBER 1, 2023
Inadequate services spend visibility also increased exposure to local legal and regulatory risks. Yet, Accenture had a dependable, long-term partner in enterprise resource planning (ERP) software pioneer SAP, first adopting the company’s solutions in 2004. Improvements were needed and the deadline was tight.
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erwin
JULY 30, 2020
Originally based on IEEE 1471 , ArchiMate was developed in the Netherlands as a joint venture between private industry and the Dutch Government between 2002 and 2004. It’s tried and tested from an enterprise perspective and an in-demand certification for enterprise architects, so there are relatively low risks associated with adopting it.
Jen Stirrup
FEBRUARY 1, 2023
Automation and the history of the 'blame game' Technology is often touted as the solution to automating and correcting errors in human behaviour, reducing risk. In the UK, one recent example is the Post Office Horizon system was poorly implemented and badly tested. One example was the Piper Alpha disaster which occurred in 1988.
CIO Business Intelligence
AUGUST 30, 2022
When a large organization depends on a highly customized ERP system, any change invites a host of potential perils from go-live failures to endless testing cycles. The process is risky enough when upgrading a single legacy ERP – with two , the risks more than double.
CIO Business Intelligence
SEPTEMBER 2, 2022
When a large organization depends on a highly customized ERP system, any change invites a host of potential perils from go-live failures to endless testing cycles. The process is risky enough when upgrading a single legacy ERP – with two , the risks more than double.
The Unofficial Google Data Science Blog
OCTOBER 12, 2017
Yet when we use these tools to explore data and look for anomalies or interesting features, we are implicitly formulating and testing hypotheses after we have observed the outcomes. We must correct for multiple hypothesis tests. In addition to the issues above, does the conclusion pass the smell test?
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