Jedox

JUNE 24, 2021

They specialize in technology infrastructure, data and analytics of the go-to-market processes to measure the effectiveness of each channel, the overall performance of the marketing program and the sales organization, and support customer, product and market analysis and A/B testing. Collaboration and integration are key.

Sales 95

Sales Marketing Optimization Metrics 95

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 83

Data Lake Big Data OLAP Testing 83

Occam's Razor

APRIL 8, 2013

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Let's listen in as Alistair discusses the lean analytics model… The Lean Analytics Cycle is a simple, four-step process that shows you how to improve a part of your business. Testing out a new feature.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

AWS Big Data

MAY 4, 2023

After deployment, the user will have access to a Jupyter notebook, where they can interact with two datasets from ASDI on AWS: Coupled Model Intercomparison Project 6 (CMIP6) and ECMWF ERA5 Reanalysis. Dataset Variables Disk Size Xarray Dataset Size Region ERA5 2011–2020 (120 netcdf files) 53.5GB 364.1

Data Processing 97

Data Processing Metadata Informatics Interactive 97

datapine

APRIL 15, 2020

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.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

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. Yet there they are.

Marketing 126

Marketing Measurement Metrics Testing 126

Occam's Razor

JUNE 4, 2018

Not easy, but your business model has to change to survive.). Checkout the Kimbao Sauvignon Blanc you can see sales and would buy it again rates since 2011. Such is the case with A/B testing. Naked Wines has a lovely widget next to each of their wines that shows the would buy again rate…. At 91%, the rate is highest this year.

Strategy 124

Strategy Cost-Benefit Testing Sales 124

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. As the story goes, the general history of DG is punctuated by four eras: “Application Era” (1960–1990) – some data modeling, ?though There are models everywhere.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

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. Bonus: For more on next steps and attribution modeling please see: Multi-Channel Attribution Modeling: The Good, Bad and Ugly Models. ]. want to protect user privacy.

Optimization 154

Optimization Reporting Experimentation Metrics 154

Occam's Razor

SEPTEMBER 13, 2016

Bonus #2: The Askers-Pukers Business Model. If you are curious, here is a April 2011 post: The Difference Between Web Reporting And Web Analysis. Ok, maybe statistical modeling smells like an analytical skill. If these 50 pass the sniff test, send the survey. Bonus #2: The Askers-Pukers Business Model. Bottom-line.

Modeling 127

Modeling Reporting Strategy Consulting 127

Edwin Chen

AUGUST 14, 2014

How can we understand causal lifts in the absence of an A/B test? This is where propensity modeling, or other techniques of causal inference, comes into play. Propensity Modeling. So suppose we want to model the effect of drinking Soylent using a propensity model technique. a negative effect).

Modeling 75

Modeling Measurement Sales Testing 75

Domino Data Lab

AUGUST 22, 2019

The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. While the field of computational linguistics, or Natural Language Processing (NLP), has been around for decades, the increased interest in and use of deep learning models has also propelled applications of NLP forward within industry.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

The Unofficial Google Data Science Blog

MAY 31, 2016

Similarly, we could test the effectiveness of a search ad compared to showing only organic search results. Structure of a geo experiment A typical geo experiment consists of two distinct time periods: pretest and test. After the test period finishes, the campaigns in the treatment group are reset to their original configurations.

Advertising 42

Advertising Testing Sales Statistics 42

BizAcuity

MAY 10, 2022

Amazon strategically went with the pricing model of ‘on-demand’, allowing developers to pay only as-per their computational needs. 2011: IBM enters the cloud market with IBM SmartCloud. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

The Unofficial Google Data Science Blog

JULY 18, 2023

Parametric measurements Thus far, we’ve been discussing non-parametric approaches to measuring reliability and validity, but in this section we’ll present an approach to get the same measurements from parametric models. Each item receives multiple labels, and each person labeling this data assesses multiple items.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Domino Data Lab

MARCH 3, 2019

What’s been the impact of using ML models on culture and organization? Who builds their models? We also used maturity , in other words how long had an enterprise organization been deploying ML models in production? “Three surveys of AI adoption reveal key advice from more mature practices”. Or something. Technologies.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

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. is one of the greatest on the market.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Domino Data Lab

JULY 9, 2019

Diving into examples of building and deploying ML models at The New York Times including the descriptive topic modeling-oriented Readerscope (audience insights engine), a prediction model regarding who was likely to subscribe/cancel their subscription, as well as prescriptive example via recommendations of highly curated editorial content.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

O'Reilly on Data

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

Occam's Razor

FEBRUARY 22, 2010

Feel better? : ) When should you start doing paid search advertising for tours to Italy for 2011? The panel methodology is based on the traditional television data capture model. If steps 1 and 2 pass the sniff test, use the data. Your traffic grew by 6% last year, what was your competitor's growth rate? In May 2010 (!).

Metrics 123

Metrics Advertising Reporting Software 123

IBM Big Data Hub

FEBRUARY 8, 2024

Through pumped storage hydropower, an energy storage model dating back to the 1890s, water flows between two water reservoirs at different elevations. link resides outside ibm.com), IPCC, 2011. [2] link resides outside ibm.com), IPCC, 2011. [4]” link resides outside ibm.com), IPCC, 2011. [7] 2] Solar PV. 11, 2021.

Manufacturing 78

Manufacturing Reporting Data-driven Technology 78

Domino Data Lab

SEPTEMBER 25, 2019

One of the most common ways of fitting time series models is to use either autoregressive (AR), moving average (MA) or both (ARMA). These models are well represented in R and are fairly easy to work with. AR models can be thought of as linear regressions of the current value of the time series against previous values.

Forecasting 87

Forecasting Modeling Statistics Optimization 87

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

Yet when we use these tools to explore data and look for anomalies or interesting features, we are implicitly formulating and testing hypotheses after we have observed the outcomes. We must correct for multiple hypothesis tests. In addition to the issues above, does the conclusion pass the smell test?

Experimentation 61

Experimentation Testing Statistics Metrics 61

CIO Business Intelligence

JUNE 1, 2023

Here are a few outcomes from HPC’s groundbreaking capabilities: HPC modeling and simulation help engineers test jet engines without destroying a single $10-40 million jet engine. For one company, Cloud for HPC reduced deployment time by 95% in designing and testing new engineering pumps, drill heads, and regulators.

ROI 111

ROI Cost-Benefit Machine Learning Testing 111

AWS Big Data

APRIL 5, 2023

The serverless model was also compelling because we did not have to pay for server instances nor license fees per reader. We went through user research, development, and beta tests in a span of 6 months, which was a fast turnaround and a big win for us,” says Minnaert. With QuickSight, we pay for usage.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52