The Unofficial Google Data Science Blog

DECEMBER 14, 2021

Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature. Among these, only statistical uncertainty has formal recognition. Figure 1: A video from fluff.ai

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

FineReport

DECEMBER 11, 2019

. – Head First Data Analysis: A learner’s guide to big numbers, statistics, and good decisions. The big news is that we no longer need to be proficient in math or statistics, or even rely on expensive modeling software to analyze customers. By Michael Milton. – Data Divination: Big Data Strategies.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

Occam's Razor

SEPTEMBER 19, 2011

You need people with deep skills in Scientific Method , Design of Experiments , and Statistical Analysis. The team did the normal modeling to ensure that the results were statistically significant (large enough sample set, sufficient number of conversions in each variation). * ask for a raise. It is that simple. Okay, it is not simple.

Measurement 120

Measurement Advertising Testing Marketing 120

CIO Business Intelligence

MARCH 21, 2022

Data scientists are often engaged in long-term research and prediction, while data analysts seek to support business leaders in making tactical decisions through reporting and ad hoc queries aimed at describing the current state of reality for their organizations based on present and historical data.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

O'Reilly on Data

MARCH 23, 2023

There are more that I haven’t listed, and there will be even more by the time you read this report. That statement would certainly horrify the researchers who are working on them, but at the level we can discuss in a nontechnical report, they are very similar. Why are we starting by naming all the names?

IT 348

IT Modeling Testing Risk 348

FineReport

DECEMBER 19, 2019

Taking FineReport as an example, it is a BI reporting tool that can connect to various data sources, quickly analyze the data, and make various reports and cool dashboards. You can complete real-time report through simple drag and drop operations. It can produce a variety of complex reports. Reporting of FineReport.

Knowledge Discovery 98

Knowledge Discovery Visualization Data mining Reporting 98

CIO Business Intelligence

JUNE 11, 2024

A 1958 Harvard Business Review article coined the term information technology, focusing their definition on rapidly processing large amounts of information, using statistical and mathematical methods in decision-making, and simulating higher order thinking through applications.

IT 136

IT Digital Transformation Broadcasting Business Objectives 136

DataRobot Blog

JANUARY 17, 2023

TRACE, Asian bond market reporting, ECNs’ trade history) as well as a clear set of more liquid assets which can be used as predictors (e.g., Not actually being a machine learning problem: Value-at-Risk modeling is the classic example here—VaR isn’t a prediction of anything, it’s a statistical summation of simulation results.

Machine Learning 87

Machine Learning Marketing Experimentation Data-driven 87

AWS Big Data

JULY 8, 2024

In every Apache Flink release, there are exciting new experimental features. To enable it, you need to define the execution.checkpointing.interval parameter for regular intervals and execution.checkpointing.interval-during-backlog to specify a longer interval when sources report processing backlog.

Management 115

Management Dashboards Consulting Snapshot 115

Business Over Broadway

FEBRUARY 21, 2021

As such, data science requires three broad skill sets , including subject matter expertise, statistics/math and technology/programming. Experimentation and iteration to improve existing ML models (25%). Data professionals who reported two activities included Machine Learning Engineer, Data Engineer and Research Scientist.

Machine Learning 60

Machine Learning Data Science Statistics Experimentation 60

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. Remember that the raw number is not the only important part, we would also measure statistical significance. Online, offline or nonline. The result?

Metrics 157

Metrics KPI Analytics Key Performance Indicator 157

Smarten

MAY 11, 2017

Advanced Data Discovery ensures data democratization by enabling users to drastically reduce the time and cost of analysis and experimentation. Plug n’ Play Predictive Analysis enables business users to explore power of predictive analytics without indepth understanding of statistics and data science.

Experimentation 49

Experimentation Visualization Business Intelligence Predictive Analytics 49

Paul DeBeasi

JANUARY 30, 2019

Machine learning projects are inherently different from traditional IT projects in that they are significantly more heuristic and experimental, requiring skills spanning multiple domains, including statistical analysis, data analysis and application development. New Gartner Research.

Machine Learning 56

Machine Learning IoT Experimentation Statistics 56

CIO Business Intelligence

AUGUST 21, 2024

The flashpoint moment is that rather than being based on rules, statistics, and thresholds, now these systems are being imbued with the power of deep learning and deep reinforcement learning brought about by neural networks,” Mattmann says. But multiagent AI systems are still in the experimental stages, or used in very limited ways.

Risk 136

Risk Insurance Cost-Benefit Software 136

Ontotext

FEBRUARY 14, 2024

Data integration If your organization’s idea of data integration is printing out multiple reports and manually cross-referencing them, you might not be ready for a knowledge graph. As a statistical model, LLM inherently is random. Experimentation is important, but be explicit when you do. Start with “why?”

Recreation/Entertainment 105

Recreation/Entertainment Data Integration Modeling Data Quality 105

Domino Data Lab

JANUARY 24, 2019

This group of solutions targets code-first data scientists who use statistical programming languages and spend their days in computational notebooks (e.g., They have a forthcoming report on automation-focused platforms this year. Code-first data science platforms. Jupyter) or IDEs (e.g.,

Data Science 65

Data Science Marketing Data-driven Statistics 65

DataRobot Blog

JULY 28, 2022

Initially, the customer tried modeling using statistical methods to create typical features, such as moving averages, but the model metrics (R-square) was only 0.5 The first baseline model we created used spectrograms of speech waveform data, statistical features, and spectrogram images. Industry Analyst Report. Download Now.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

Jet Global

APRIL 27, 2023

These changes create an ever-increasing demand on manufacturing tax departments to report on cross-border situations and transactions. Manufacturing organizations will succeed if they can adapt quickly to shifting supply chains and maintaining agility in reporting.

Manufacturing 52

Manufacturing Marketing Reporting Risk 52

Occam's Razor

JUNE 6, 2011

Web Analytics Data Reporters (99% of their effort is taking in requests and working with above folks and simply regurgitating data out). So in addition to becoming good at Omniture, Google Analytics, Baidu Analytics , pick one other tool from the Experimentation, Voice of Customer, Competitive Intelligence buckets of Web Analytics 2.0.

Analytics 126

Analytics Consulting Statistics Marketing 126

Octopai

OCTOBER 26, 2022

When DataOps principles are implemented within an organization, you see an increase in collaboration, experimentation, deployment speed and data quality. Continuous pipeline monitoring with SPC (statistical process control). If you’ve created a useful reporting process or dashboard segment, no one need ever waste time reinventing it.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

Occam's Razor

JULY 24, 2018

work (collection, processing, reporting, analysis), processes, org structure, governance models, last-mile gaps , metrics ladders of awesomeness , and… so… much… more. You can report Gross Profit in real-time, of course, but doing so is almost entirely useless. Ignore the metrics produced as an experimental exercise nine months ago.

Analytics 95

Analytics Metrics Strategy Measurement 95

Domino Data Lab

DECEMBER 4, 2020

Domino Lab supports both interactive and batch experimentation with all popular IDEs and notebooks (Jupyter, RStudio, SAS, Zeppelin, etc.). The drug under investigation is an anti-inflammatory agent, and the study looks at self-reported pain relief and plasma concentration over time. In this tutorial we will use JupyterLab.

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

Smarten

JULY 3, 2017

So, if a business users wants to find and analyze data, that user must depend on others to understand the user’s needs, gather the data and create the report. By the time the user receives the report, the data may be outdated or it may be presented in a way that makes it difficult to interpret and use.

Visualization 40

Visualization Predictive Modeling Business Intelligence Experimentation 40

Cloudera

NOVEMBER 25, 2020

How can he make it easy to see statistics, and do calculations, on discovered commonalities, across structured and unstructured data? Traditional systems are siloed, hard to access and often structured to serve traditional reports. Before now, this was really hard to do. Legacy systems do not scale with the new data needs.

Data Warehouse 59

Data Warehouse Unstructured Data Analytics Visualization 59

The Unofficial Google Data Science Blog

JULY 31, 2016

To figure this out, let's consider an appropriate experimental design. In other words, the teacher is our second kind of unit, the unit of experimentation. This type of experimental design is known as a group-randomized or cluster-randomized trial. When analyzing the outcome measure (e.g.,

Experimentation 42

Experimentation Testing Measurement Metrics 42

IBM Big Data Hub

APRIL 18, 2024

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. Nearly all respondents reported promising early results from gen AI experiments and planned to increase their spending in 2024 to support production workloads.

Cost-Benefit 89

Cost-Benefit Manufacturing Modeling Interactive 89

The Unofficial Google Data Science Blog

MAY 31, 2016

A geo experiment is an experiment where the experimental units are defined by geographic regions. Statistical power is traditionally given in terms of a probability function, but often a more intuitive way of describing power is by stating the expected precision of our estimates. They are non-overlapping geo-targetable regions.

Advertising 43

Advertising Testing Sales Statistics 43

Occam's Razor

JUNE 6, 2007

Experimentation & Testing (A/B, Multivariate, you name it). There are approximately 205 images in the book, images the illustrate ideas, show reports and analysis, dashboards and tools, graphs and tables. The book takes a stand on issues, makes choices and cuts through the fog/FUD, in an attempt to make your life a tiny bit easier.

Analytics 60

Analytics Metrics Marketing Dashboards 60

Business Over Broadway

MAY 22, 2019

According to Gartner, companies need to adopt these practices: build culture of collaboration and experimentation; start with a 3-way partnership among executives leading digital initiative, line of business and IT. LogMeIn’s Forrester Survey Reports AI Widens Gap Between Customer Experience and Marketing Teams: [link].

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

Alation

SEPTEMBER 28, 2022

Monitoring and reporting of processes. This includes everything from data storage and warehousing solutions to artificial intelligence and analytics reporting tools. Technical environments and IDEs must be disposable so that experimental costs can be kept to a minimum. Easy-to-experiment data development environment. Simplicity.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

O'Reilly on Data

JULY 28, 2020

Many companies face a problem that’s even worse: no one knows which levers contribute to the metrics that impact business outcomes, or which metrics are important to the company (such as those reported to Wall Street by publicly-traded companies). Without clarity in metrics, it’s impossible to do meaningful experimentation.

Marketing 364

Marketing Experimentation Metrics Testing 364

CIO Business Intelligence

APRIL 9, 2025

In fact, a study by BARC (Business Application Research Center) found that 58% of respondents reported their companies base at least half of their regular business decisions on gut feel or experience rather than data and information. times more likely to report successful analytics initiatives compared to those with ad hoc approaches.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

O'Reilly on Data

APRIL 19, 2021

The percentage of respondents reporting “mature” practices has been roughly the same for the last few years. This is almost exactly in line with the results from 2020, where 25% of the respondents reported that they had products in production (“Mature” wasn’t a possible response in the 2020 survey.). Bottlenecks to AI adoption.

Enterprise 364

Enterprise Risk Modeling Manufacturing 364

Occam's Razor

SEPTEMBER 13, 2016

If you are open to being challenged… then here are the short-stories inside this post… The World Needs Reporting Squirrels. The World Needs Reporting Squirrels. If you are curious, here is a April 2011 post: The Difference Between Web Reporting And Web Analysis. Hypothesis development and design of experimentation.

Modeling 128

Modeling Reporting Strategy Consulting 128

Occam's Razor

NOVEMBER 17, 2008

There is a tendency to think experimentation and testing is optional. 5 Tags, CMS, Reports & Regressions: All Included! they contain all reporting built in and the data is not that hard to understand. So as my tiny gift for you here are five experimentation and testing ideas for you. And I meant every word of it.

Testing 113

Testing Experimentation Risk Optimization 113

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

1]" Statistics, as a discipline, was largely developed in a small data world. More people than ever are using statistical analysis packages and dashboards, explicitly or more often implicitly, to develop and test hypotheses. Data was expensive to gather, and therefore decisions to collect data were generally well-considered.

Experimentation 62

Experimentation Testing Statistics Metrics 62

Occam's Razor

AUGUST 22, 2011

Delibrate Your Data, Dig Into Your Data, Reimagine Content Reporting. The Difference Between Web Reporting And Web Analysis. Refuse Report Requests. Consultants, Analysts: Present Impactful Analysis, Insightful Reports. Produce Actionable Insights: Mate Custom Reports With Adv Segments! Web Analytics Demystified.

KPI 125

KPI Metrics Measurement ROI 125