AWS Big Data

APRIL 5, 2023

The company decided to use AWS to unify its business intelligence (BI) and reporting strategy for both internal organization-wide use cases and in-product embedded analytics targeted at its customers. The serverless model was also compelling because we did not have to pay for server instances nor license fees per reader.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

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

Occam's Razor

OCTOBER 21, 2013

In late 2011, Google announced an effort to make search behavior more secure. I've gone through the five stages in the Kubler-Ross model. The Multi-Channel Funnels folder in Google Analytics contains the Top Conversion Paths report. From there, jump to my personal favorite report in MCF, Assisted Conversions.

Optimization 154

Optimization Reporting Experimentation Metrics 154

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. 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.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Occam's Razor

JUNE 28, 2011

Yet our heroic efforts to report the aforementioned sexy metrics lead to little business action. Perhaps your client did not provide you with the all important Web Analytics Measurement Model. You: The person responsible for "providing data" / "analyzing metrics" / "reporting."

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. The author also introduces the concept of “analytics 3.0”

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Occam's Razor

APRIL 25, 2011

The issues of course include people and jaded mental models and bureaucracy and a lack of time and the missing desire to be great and org structures, and bosses. " 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. The 10/90 rule.

Marketing 126

Marketing Measurement Metrics Testing 126

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

APRIL 17, 2017

Selection and aggregation of forecasts from an ensemble of models to produce a final forecast. Calendaring was therefore an explicit feature of models within our framework, and we made considerable investment in maintaining detailed regional calendars. Adjustments for effects: holiday, seasonality, and day-of-week effects.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

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

Domino Data Lab

APRIL 3, 2019

Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. Not that I’m implying anything about current economic conditions vis-a-vis the timing of this report… #justsayin. There are models everywhere. Now there are calls for model governance.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Edwin Chen

JANUARY 7, 2013

— Sohaib Athar (@ReallyVirtual) May 1, 2011. We’ll describe a novel real-time human computation engine we built that allows us to find search queries as soon as they’re trending, send these queries to real humans to be judged, and finally incorporate these human annotations into our backend models.

Statistics 73

Statistics Machine Learning Advertising Metadata 73

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

Selection bias and survivorship bias When we slice a population by some factor or combination of factors and compute a metric over the new sub-populations, we are implicitly specifying a model (the metric is a function of the slicing factors) and testing a hypothesis. What is to be done?

Experimentation 61

Experimentation Testing Statistics Metrics 61