Smart Data Collective

JUNE 6, 2021

The collection and use of relevant metrics can, therefore, potentially boost your chances of engaging new prospects while keeping existing customers satisfied. It was released in 2011 and praised for its serverless architecture that enables highly scalable and fast-provided structured query language (SQL) analytics.

Big Data 137

Big Data Data Analytics Analytics Cost-Benefit 137

datapine

APRIL 15, 2020

The term “agile” was originally conceived in 2011 as a software development methodology. It might make sense to follow-up on specific operational metrics on a weekly or bi-weekly basis so that any issues or potential bottlenecks can be addressed quickly.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Occam's Razor

MAY 14, 2012

Bonus One: Read: Brand Measurement: Analytics & Metrics for Branding Campaigns ]. There are many different tools, both online and offline, that measure the elusive metric called brand strength. Amazon is an interesting example.

Measurement 129

Measurement Analytics Advertising Marketing 129

Occam's Razor

FEBRUARY 22, 2010

Feel better? : ) When should you start doing paid search advertising for tours to Italy for 2011? Check the definitions of various metrics. For example, if you see a metric called Cookies, find out exactly what that metric means before you use the data. In May 2010 (!). 9 points higher, now you deserve a bonus!

Metrics 124

Metrics Advertising Reporting Data Collection 124

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. I believe the best way to measure success is to measure the above four metrics (actual interaction/action/outcome). It can be a brand metric, say Likelihood to Recommend. Business Leaders.

B2B 167

B2B Metrics Recreation/Entertainment Testing 167

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 100

Big Data Interactive Data-driven Machine Learning 100

Domino Data Lab

OCTOBER 9, 2019

It divides the observations into discrete groups based on some distance metric. According to David Madigan, the former chair of Department of Statistics and current Dean of Faculty of Arts and Sciences and Professor of Statistics at Columbia University, a good metric for determining the optimal number of clusters is Hartigan’s rule (J.

Statistics 100

Statistics Machine Learning Metrics Measurement 100

Smart Data Collective

APRIL 2, 2019

According to Forbes in 2011, the idea of the Data Lake was already gaining traction as companies started to consider the idea of moving their data from off-site repositories to cloud-accessible online storage , a reality that was further cemented by the cheap availability of cloud storage. The Thrust for Data Lake Creation.

Data Lake 106

Data Lake Big Data OLAP Testing 106

Smart Data Collective

MAY 20, 2021

It is important to be aware of the different online data analytics metrics and tools used to track people online, since they shape the direction of big data technology. There are a lot of issues in big data that warrant discussion. It is interesting how one word – cookies can mean different things. Usage of VPN.

Advertising 94

Advertising Analytics Big Data Insurance 94

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. 7 IEEE Spectrum.

Deep Learning 88

Deep Learning Cost-Benefit Risk Data-driven 88

CIO Business Intelligence

NOVEMBER 7, 2022

Since that 2011 revelation, Arooni has been doing just that: redefining IT organizations and service delivery models to embrace agile ways of working, including creating product-centric structures with persistent teams responsible for the entire lifecycle of a product. Ema Patki, vice president of software engineering, Align.

IT 116

IT Technology Modeling Strategy 116

Domino Data Lab

AUGUST 22, 2019

We need to take a brief break from natural language-specific content here to introduce a metric that will come in handy in the next section of the chapter, when we will evaluate the performance of deep learning NLP models. Note: Maas, A., Learning word vectors for sentiment analysis. The Area under the ROC Curve. 0.85 = 0.15.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Peter James Thomas

AUGUST 12, 2018

Pertinence and fidelity of metrics developed from Data. Metrics are seldom reliant on just one data element, but are often rather combinations. There are often compromises to be made in defining metrics. Again see Using BI to drive improvements in data quality for further details. Some of these are based on the data available.

Metrics 49

Metrics Statistics Data Quality Measurement 49

DataRobot Blog

MAY 10, 2022

It has been over a decade since the Federal Reserve Board (FRB) and the Office of the Comptroller of the Currency (OCC) published its seminal guidance focused on Model Risk Management ( SR 11-7 & OCC Bulletin 2011-12 , respectively).

Risk 64

Risk Modeling Machine Learning Data Quality 64

CIO Business Intelligence

MARCH 1, 2023

Ever since we started the company back in 2011, when I was CIO, we’ve been using data to improve our operations. Our executive chairman, Brad Jacobs, hired me back when he founded the company in 2011. This is essential when you are CEO, because you get a very different vantage point than looking at metrics or talking to executives.

ROI 52

ROI Machine Learning Sales Technology 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. Figure 4: DataRobot provides an interactive ROC curve specifying relevant model performance metrics on the bottom right.

Risk 52

Risk Modeling Metrics Business Objectives 52

Sisense

JULY 1, 2021

Marketing technology tools (also referred to as MarTech tools) have multiplied from about 150 in 2011 to around 8,000 today, a 5,233% increase that sends a clear message: Marketers are embracing digital assistance and data/analytics. In a world of rapid technological change, digital tools for marketers are having a moment.

Marketing 52

Marketing Experimentation Marketing Analytics ROI 52

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

Nevertheless, A/B testing has challenges and blind spots, such as: the difficulty of identifying suitable metrics that give "works well" a measurable meaning. For instance, in 2011 we altered the AdWords auction ranking function to account for the long-term impact of showing a given ad.

Modeling 63

Modeling Experimentation Knowledge Discovery Testing 63

Domino Data Lab

MARCH 3, 2019

What metrics are used to evaluate success? While image data has been the stalwart for deep learning use cases since the proverbial “ AlexNet moment ” in 2011-2012, and a renaissance in NLP over the past 2-3 years has accelerated emphasis on text use cases, we note that structured data is at the top of the list in enterprise.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

The Unofficial Google Data Science Blog

MAY 31, 2016

This means it is possible to specify exactly in which geos an ad campaign will be served – and to observe the ad spend and the response metric at the geo level. In other words, iROAS is the slope of a curve of the response metric plotted against the underlying advertising spend. They are non-overlapping geo-targetable regions.

Advertising 43

Advertising Testing Sales Statistics 43

Occam's Razor

SEPTEMBER 24, 2012

FBe's recommendation was (paraphrasing a 35 min talk): Don't invent new metrics, use online versions of Reach and GRPs to measure success. Because we don't understand the uniqueness, we fall back on profoundly sub-optimal old world metrics like Reach or Online GRP equivalents. Metrics are a problem.

Advertising 165

Advertising ROI Metrics Marketing 165

Occam's Razor

JUNE 28, 2011

Web Analysts are blessed with an immense amount of data, and an amazing amount of valuable, even sexy, metrics to understand business performance. Yet our heroic efforts to report the aforementioned sexy metrics lead to little business action. Since crappy sounds bad, let's just say you are reporting super lame metrics.

Metrics 127

Metrics Measurement Key Performance Indicator Reporting 127

O'Reilly on Data

APRIL 23, 2024

From 2000 to 2011, the percentage of US adults using the internet had grown from about 60% to nearly 80%. Starting around 2011, advertising, which once framed the organic results and was clearly differentiated from them by color, gradually became more dominant, and the signaling that it was advertising became more subtle.

Advertising 334

Advertising Cost-Benefit Marketing Risk 334

Occam's Razor

JANUARY 20, 2010

End of a minor web analytics lesson on going beyond obvious metrics and never, ever, never forgetting context. Of course look at our favorite metric bounce rate by keyword (that tells you if you can get people to give you one solitary click , the most primitive measure of SEO success). Now go plan for 2011. Back to our story.

Metrics 90

Metrics B2B Analytics Measurement 90

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.

Optimization 156

Optimization Reporting Metrics Experimentation 156

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

APRIL 25, 2011

" I'd postulated this rule in 2005, it is even more true in 2011. Making lame metrics the measures of success: Impressions, Click-throughs, Page Views. Use metrics that matter: Loyalty, Recency , Net Profit, Conversation Rate, Message Amplification , Brand Evangelist Index , Customer Lifetime Value and so on and so forth.

Marketing 127

Marketing Metrics Measurement Testing 127

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 62

Experimentation Testing Statistics Metrics 62

The Unofficial Google Data Science Blog

JULY 18, 2023

Once we’ve answered that, we will then define and use metrics to understand the quality of human-labeled data, along with a measurement framework that we call Cross-replication Reliability or xRR. We will follow the example of Janson and Olsson , and start from this generalized definition of the metric, which they call iota.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

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

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 294

Modeling Advertising Recreation/Entertainment Metrics 294