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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

Your Chance: Want to test an agile business intelligence solution? The term “agile” was originally conceived in 2011 as a software development methodology. Business intelligence is moving away from the traditional engineering model: analysis, design, construction, testing, and implementation. Finalize testing.

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The mainframe is dying: Long live the mainframe application!

CIO Business Intelligence

years, a record it shares with the z114, launched in September 2011 and destined to be supported through December 2022. Wazi is a suite of tools IBM introduced back in 2020 with which developers can write z/OS applications and then test them in a z/OS sandbox on their own x86 hardware. years after its launch in June 2006.

Sales 130
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Running Code and Failing Models

DataRobot

Their code attempted to create a validation test set based on a prediction point of November 1, 2011. The performance of the model is then analyzed on a test set, which is located after the prediction point. The following figure shows the Python code and how it led to data after November 2011. Do you see it?

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6 enterprise DevOps mistakes to avoid

CIO Business Intelligence

Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps. It may surprise you, but DevOps has been around for nearly two decades.

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What Are the Most Important Steps to Protect Your Organization’s Data?

Smart Data Collective

Based on figures from Statista , the volume of data breaches increased from 2005 to 2008, then dropped in 2009 and rose again in 2010 until it dropped again in 2011. One of the best solutions for data protection is advanced automated penetration testing. The instances of data breaches in the United States are rather interesting.

Testing 131
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What is Model Risk and Why Does it Matter?

DataRobot Blog

In 2011, the Federal Reserve Board (FRB) and the Office of Comptroller of the Currency (OCC) issued a joint regulation specifically targeting Model Risk Management (respectively, SR 11-7 and OCC Bulletin 2011-12 ). This governance includes tracking the status of each model on an inventory across the entire enterprise.

Risk 111
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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Testing out a new feature. Identify, hypothesize, test, react. But at the same time, they had to have a real test of an actual feature. You don’t need a beautiful beast to go out and test.

Metrics 157