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. The evolution of marketing data. Finding and leveraging the right data tools.

Sales 98

Sales Marketing Optimization Metrics 98

CIO Business Intelligence

MAY 16, 2022

In 2011, another update — dubbed ITIL 2011 — was published under the Cabinet Office. The five volumes remained, and ITIL 2007 and ITIL 2011 remained similar. ITIL v3 was released in 2011, under the Cabinet Office, bringing updates to the 2007 version published under OGC. How does ITIL reduce costs?

IT 105

IT Cost-Benefit ROI Risk 105

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

Occam's Razor

JANUARY 20, 2010

How do you measure success of a online webinar? End of a minor web analytics lesson on going beyond obvious metrics and never, ever, never forgetting context. 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 go plan for 2011.

Metrics 90

Metrics B2B Analytics KPI 90

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. Pertinence and fidelity of metrics developed from Data.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Cloudera

SEPTEMBER 20, 2022

Designers of AI systems for art should identify which images in their training sets strongly influenced a result using metrics of image similarity, in order to both credit the influence appropriately (perhaps monetarily) and facilitate avoiding plagiarism. International Telecommunications Society (ITS), 2011. Conclusion.

Deep Learning 87

Deep Learning Cost-Benefit Risk Data-driven 87

Domino Data Lab

OCTOBER 9, 2019

It divides the observations into discrete groups based on some distance metric. 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. > According to this metric we should use 13 clusters. > wineUrl <- '[link].

Statistics 100

Statistics Machine Learning Metrics Measurement 100

Smart Data Collective

APRIL 5, 2019

For example, it hones in on metrics in social media like retweets, engagement rates, mention, and story completions. million in Series B in 2010, and was quickly acquired by Twitter for $40 million in 2011. Social media monitoring involves collecting data and is quantifiable. During this time, they raised $300,000 in seed funds, $3.5

Big Data 79

Big Data Interactive Data-driven Machine Learning 79

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

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 127

Marketing Measurement Metrics Testing 127

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

JUNE 4, 2012

You get immense focus in the scorecard (summary) using just the Acquisition (Visits, Unique Visitors), Behavior (Bounce Rate, Pageviews – proxy for content consumption) and Outcome (Transactions, Average Value, Revenue) metrics and Key Performance Indicators. Never create a custom report without Acquisition, Behavior, Outcome metrics.

Reporting 128

Reporting Analytics Metrics Advertising 128

Occam's Razor

OCTOBER 21, 2013

In late 2011, Google announced an effort to make search behavior more secure. This is a simple custom report I use to look at the aggregated view: As the report above demonstrates, you can still report on your other metrics, like Unique Visitors, Bounce Rates, Per Visit Value and many others, at an aggregated level. One product line.

Optimization 156

Optimization Reporting Metrics Experimentation 156

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

datapine

AUGUST 29, 2022

And with that understanding, you’ll be able to tap into the potential of data analysis to create strategic advantages, exploit your metrics to shape them into stunning business dashboards , and identify new opportunities or at least participate in the process. Microsoft, Alibaba, Taobao, WebMD, Spotify, Yelp” according to Marz himself.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Occam's Razor

NOVEMBER 2, 2015

Success Metrics. 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 is not that hard.

B2B 167

B2B Metrics Recreation/Entertainment Testing 167

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

With more features come more potential post hoc hypotheses about what is driving metrics of interest, and more opportunity for exploratory analysis. Looking at metrics of interest computed over subpopulations of large data sets, then trying to make sense of those differences, is an often recommended practice (even on this very blog).

Experimentation 61

Experimentation Testing Statistics Metrics 61

O'Reilly on Data

MAY 11, 2020

It predates recommendation engines, social media, engagement metrics, and the recent explosion of AI, but not by much. The Entertainment” is not the result of algorithms, business incentives and product managers optimizing for engagement metrics. And like a lot of near-future SciFi, it’s remarkably prescient.

Modeling 192

Modeling Advertising Recreation/Entertainment Metrics 192