DataRobot

FEBRUARY 10, 2021

Their code attempted to create a validation test set based on a prediction point of November 1, 2011. The code below might at first look like it separates data before and after November 1, 2011, but there’s a subtle mistake that includes future dates. Log loss is a measure of error for a model. See the source for this graphic.).

Modeling 98

Modeling Deep Learning Machine Learning Testing 98

CIO Business Intelligence

OCTOBER 23, 2023

Since 2011, Equinix has invested more than US$158 million in energy efficiency upgrades to reduce energy consumption within our data centers. We also recognize the importance of reducing power consumption and enhancing our sustainability leadership that stems from continued energy efficiency improvements at our data centers.

Strategy 104

Strategy Risk Data Processing Finance 104

Jedox

JUNE 24, 2021

The description of the sales funnel is often used: individual stages of the sales process enable the measurement of key figures from the first contact to the conclusion with a signed contract or product purchased. In short, offer them exactly what they’re looking for. The evolution of marketing data.

Sales 94

Sales Marketing Optimization Metrics 94

bridgei2i

JUNE 23, 2021

It’s also crucial for enterprises to plan for contingencies and take preventive measures to ensure biases do not creep into datasets after implementing algorithms into pilots. A Masters in Quantitative Economics from the Indian Statistical Institute (ISI), Calcutta, Prithvijit founded BRIDGEi2i in May 2011.

Strategy 52

Strategy Enterprise Statistics Digital Transformation 52

Cloudera

SEPTEMBER 20, 2022

This is largely a reactive measure, though, since it’s likely that real systems will admit unknown exploits, notwithstanding that the nature of “objectionable” is not fixed. 22nd European Regional ITS Conference, Budapest 2011: Innovative ICT Applications – Emerging Regulatory, Economic and Policy Issues. Conclusion.

Deep Learning 87

Deep Learning Cost-Benefit Risk Data-driven 87

CIO Business Intelligence

OCTOBER 10, 2022

Bass further expanded the concept to include ways for measuring the success of transformational leadership. The concept of transformational leadership started with James V. Downton in 1973 and was expanded by James Burns in 1978. In 1985, researcher Bernard M.

Modeling 145

Modeling Digital Transformation Software Manufacturing 145

The Unofficial Google Data Science Blog

JULY 18, 2023

E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. Researchers and practitioners have been using human-labeled data for many years, trying to understand all sorts of abstract concepts that we could not measure otherwise. That’s the focus of this blog post.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

DataRobot Blog

MAY 26, 2022

When the FRB’s guidance was first introduced in 2011, modelers often employed traditional regression -based models for their business needs. In the model-fitting procedure, the modeler is then able to measure the impact of each factor against the outcome.

Risk 52

Risk Modeling Metrics Business Objectives 52

Smart Data Collective

APRIL 5, 2019

million in Series B in 2010, and was quickly acquired by Twitter for $40 million in 2011. Synthesio is a social listening tool that allows brands to measure the impact of online conversations against their business goals. During this time, they raised $300,000 in seed funds, $3.5

Big Data 79

Big Data Interactive Data-driven Metrics 79

CIO Business Intelligence

NOVEMBER 7, 2022

However, the measure of success has been historically at odds with the number of projects said to be overrunning or underperforming, as Panorama has noted that organizations have lowered their standards of success. The two began working together on a transition away from Lidl’s creaky in-house inventory system since 2011.

Manufacturing 128

Manufacturing Cost-Benefit Sales Consulting 128

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

by HENNING HOHNHOLD, DEIRDRE O'BRIEN, and DIANE TANG In this post we discuss the challenges in measuring and modeling the long-term effect of ads on user behavior. Nevertheless, A/B testing has challenges and blind spots, such as: the difficulty of identifying suitable metrics that give "works well" a measurable meaning.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

Occam's Razor

SEPTEMBER 24, 2012

A Facebook employee (FBe) gave a talk about measuring ROI/Value of Facebook campaigns. FBe's recommendation was (paraphrasing a 35 min talk): Don't invent new metrics, use online versions of Reach and GRPs to measure success. Why is it so hard to measure the value of Facebook? How can we do better? That is ok.

Advertising 165

Advertising ROI Metrics Marketing 165

Occam's Razor

APRIL 8, 2013

First, you figure out what you want to improve; then you create an experiment; then you run the experiment; then you measure the results and decide what to do. For each of them, write down the KPI you're measuring, and what that KPI should be for you to consider your efforts a success. Measure and decide what to do.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Domino Data Lab

AUGUST 6, 2021

It was first defined by the US Federal Reserve and Office of the Comptroller of the Currency ( SR 11-7 ) in April 2011. The genesis of Model Risk Management was in the banking industry.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

Occam's Razor

APRIL 25, 2011

" I'd postulated this rule in 2005, it is even more true in 2011. Doing anything on the web without a Web Analytics Measurement Model. Bring a structured approach to your measurement strategy, bring some process, let a Web Analytics Measurement Model be the foundation of your program. The 10/90 rule.

Marketing 126

Marketing Measurement Metrics Testing 126

The Unofficial Google Data Science Blog

APRIL 17, 2017

First, the system may not be understood, and even if it was understood it may be extremely difficult to measure the relationships that are assumed to govern its behavior. In the first plot, the raw weekly actuals (in red) are adjusted for a level change in September 2011 and an anomalous spike near October 2012. 2014): 276. [7]

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Occam's Razor

OCTOBER 21, 2013

In late 2011, Google announced an effort to make search behavior more secure. If you want to stress test this,… go back to your 2011 (pre- not provided ) data for paid and organic and see what you can find. Measure the impact (remember you can measure at a Search Engine and Organic/Paid level). One product line.

Optimization 154

Optimization Reporting Experimentation Metrics 154

Occam's Razor

JANUARY 20, 2010

How do you measure success of a online webinar? How do you measure SEO performance on a page level? Every measurement question should start by taking one step back and thinking of goals. Now it is not hard to figure out how to measure performance! That is a crude measure how how efficient your page is being at converting.

Metrics 90

Metrics B2B Analytics Measurement 90

Occam's Razor

JUNE 4, 2012

Second, since October 2011 searches made by users who are logged into their Google account you are going "not provided" and the keyword. PVGV tells me the business is focused on maximizing the value of every pay per click campaign visitor by measuring the economic value of macro plus micro conversions.

Reporting 127

Reporting Analytics Metrics Advertising 127

Peter James Thomas

AUGUST 12, 2018

This piece was prompted by both Olaf’s question and a recent article by my friend Neil Raden on his Silicon Angle blog, Performance management: Can you really manage what you measure? It is hard to account for such tweaking in measurement systems. Some relate to inherent issues with what is being measured.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Domino Data Lab

APRIL 3, 2019

Network security mushrooms with VPNs, IDS , gateways, various bump-in-the-wire solutions, SIMS tying all the anti-intrusion measures within the perimeter together, and so on. Fun fact: in 2011 Google bought remnants of what had previously been Motorola. credit cards). Data is on the move.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

datapine

APRIL 15, 2020

The term “agile” was originally conceived in 2011 as a software development methodology. You will measure your success by delivering the project, not by the level of documentation you’re producing, therefore, documentation should be developed only when necessary.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Domino Data Lab

OCTOBER 9, 2019

Printing the K-means objects displays the size of the clusters, the cluster mean for each column, the cluster membership for each row and similarity measures. > It is measuring the gap between reality and expectation. . > set.seed(278613) > wineK3 <- kmeans(x=wineTrain, centers=3). > wineK3.

Statistics 100

Statistics Machine Learning Metrics Measurement 100

Rita Sallam

AUGUST 28, 2022

For the vendors that participate in the Bake-Off, it is in equal measure fun and extremely stressful. At a global level the number of people without reliable access to electricity spiked in 2011. Several of the KPIs measured around promoting inclusive and sustainable economic growth and employment for all are highly correlated.

Analytics 52

Analytics Data Analytics Cost-Benefit Measurement 52

The Unofficial Google Data Science Blog

MAY 31, 2016

It is important that we can measure the effect of these offline conversions as well. Panel studies make it possible to measure user behavior along with the exposure to ads and other online elements. Let's take a look at larger groups of individuals whose aggregate behavior we can measure. days or weeks).

Advertising 42

Advertising Testing Sales Statistics 42

Edwin Chen

AUGUST 14, 2014

In an ideal world, we'd be able to run experiments – the gold standard for measuring causality – whenever we wish. We measure Soylent's effect as the difference between each twin pair. To summarize: propensity modeling is a powerful technique for measuring causal effects in the absence of a randomized experiment.

Modeling 75

Modeling Measurement Sales Testing 75

Occam's Razor

JUNE 28, 2011

Perhaps your client did not provide you with the all important Web Analytics Measurement Model. By 2011 as web experiences have become richer and more frequently and more complex I am so mad that our life is not dominated by pan-session metrics. Learn ins and outs and how-to: Analytics Tip #6: Measure Days & Visits to Purchase ].

Metrics 126

Metrics Measurement Key Performance Indicator Reporting 126

datapine

AUGUST 29, 2022

He founded the project Apache Storm in 2011, which turned to be “one of the world’s most popular stream processors and has been adopted by many of the world’s largest companies, including Yahoo!, Microsoft, Alibaba, Taobao, WebMD, Spotify, Yelp” according to Marz himself.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Domino Data Lab

SEPTEMBER 25, 2019

We see it when working with log data, financial data, transactional data, and when measuring anything in a real engineering system. For an illustration, we will make use of the World Bank API to download gross domestic product (GDP) for a number of countries from 1960 through 2011. Time series data is commonly encountered.

Forecasting 87

Forecasting Modeling Statistics Optimization 87

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

Selection bias played a notable role in the discussion of the avian influenza outbreak of 2011 during which the reported case fatality rate was as high as 80% [2]. But this does not mean that the slice will continue to exhibit an extreme value on this measurement in the future. What is to be done?

Experimentation 61

Experimentation Testing Statistics Metrics 61

Occam's Razor

NOVEMBER 2, 2015

In my Oct 2011 post, Best Social Media Metrics , I'd created four metrics to quantify this value. For the rest of this post, I'm going to use the first three to capture the essence of social engagement and brand impact, and one to measure impact on the business. It covers, content, marketing and measurement.

B2B 167

B2B Metrics Testing Recreation/Entertainment 167

AWS Big Data

APRIL 5, 2023

However, with 70 dashboards with over 1,000 visuals with varying levels of complexities, including proprietary logic unique to certain tools, and data from over 1,000 tables ingesting data from over 20 data sources, the team decided to take a measured approach to the migration.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

Edwin Chen

JANUARY 7, 2013

— Sohaib Athar (@ReallyVirtual) May 1, 2011. For example, we often run experiments to measure ad relevance and search quality, we use it to gather data to train and evaluate our machine learning models, and in this section we’ll describe how we use it to boost our understanding of popular search queries.

Statistics 73

Statistics Machine Learning Advertising Metadata 73

O'Reilly on Data

MAY 11, 2020

YouTube’s algorithm was measuring what kept viewers there the longest, not what they wanted to see, and feeding them more of the same. What’s also interesting is that YouTube never wrote ‘Show more polarizing conspiracy videos’ into their algorithm: that was merely a result of the optimization process.

Modeling 194

Modeling Advertising Recreation/Entertainment Metrics 194