DataRobot Blog

MARCH 8, 2023

Today, SAP and DataRobot announced a joint partnership to enable customers connect core SAP software, containing mission-critical business data, with the advanced Machine Learning capabilities of DataRobot to make more intelligent business predictions with advanced analytics.

Enterprise 105

Enterprise Experimentation Machine Learning Data Science 105

CIO Business Intelligence

MARCH 21, 2022

According to data from Robert Half’s 2021 Technology and IT Salary Guide, the average salary for data scientists, based on experience, breaks down as follows: 25th percentile: $109,000 50th percentile: $129,000 75th percentile: $156,500 95th percentile: $185,750 Data scientist responsibilities.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

Smart Data Collective

JULY 9, 2023

Collecting Relevant Data for Conversion Rate Optimization Here is some vital data that e-commerce businesses need to collect to improve their conversion rates. Identifying Key Metrics for Conversion Rate Optimization Data collection and analysis are both essential processes for optimizing your conversion rate.

Optimization 97

Optimization Data Analytics Analytics Data-driven 97

Rocket-Powered Data Science

JULY 7, 2019

Computer Vision: Data Mining: Data Science: Application of scientific method to discovery from data (including Statistics, Machine Learning, data visualization, exploratory data analysis, experimentation, and more). See [link]. Edge Computing (and Edge Analytics): Industry 4.0:

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

CIO Business Intelligence

SEPTEMBER 30, 2024

Emphasizing ethics and impact Like many of the government agencies it serves, Mathematica started its cloud journey on AWS shortly after Bell arrived six years ago and built the Mquiry data collection, collaboration, management, and analytics platform on the Mathematica Cloud Support System for its myriad clients.

Data Quality 116

Data Quality Experimentation Insurance Statistics 116

Cloudera

APRIL 9, 2021

This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

CIO Business Intelligence

AUGUST 25, 2023

In this conversation with Foundry, Mitali discusses the accelerated importance of technology in healthcare, on enabling healthcare providers with data and why her team isn’t afraid of experimentation. The need is for a user-friendly system that captures all the data. Can you tell me about your career path so far?

Experimentation 98

Experimentation Digital Transformation Technology Data Collection 98

CIO Business Intelligence

JULY 3, 2023

According to a recently leaked Google memo, “The barrier to entry for training and experimentation has dropped from the total output of a major research organization to one person, an evening, and a beefy laptop.”

Management 105

Management Experimentation Modeling Enterprise 105

Data Science 101

JANUARY 15, 2020

Bias ( syatematic unfairness in data collection ) can be a potential problem in experiments and we need to take it into account while designing experiments. Some pitfalls of this type of experimentation include: Suppose an experiment is performed to observe the relationship between the snack habit of a person while watching TV.

Experimentation 96

Experimentation Statistics Measurement Testing 96

CIO Business Intelligence

MAY 31, 2022

Beyond the fundamentals of cross-device interactions, privacy, and security, becoming a leader in the programmable world will require wide-ranging exploration, experimentation, and development. There are endless avenues to enable new ways to augment, customize, and otherwise “program” our physical environments. billion by 2030.

Technology 116

Technology Interactive Experimentation IoT 116

CIO Business Intelligence

MAY 16, 2023

It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises. Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data.

Advertising 105

Advertising Recreation/Entertainment Experimentation Data Collection 105

Occam's Razor

MARCH 23, 2010

Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization. If you don't have a robust experimentation program in your company you are going to die. Oh and when I say Experimentation I don't mean testing button sizes (BOO!). Likely not.

Analytics 119

Analytics Consulting Metrics Experimentation 119

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. To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. Online, offline or nonline.

Metrics 157

Metrics KPI Analytics Key Performance Indicator 157

Smart Data Collective

JUNE 21, 2023

This frees up time for experimentation and achieving superior results. Alongside capturing precious memories, Snappic’s software doubles as a data collection tool, providing valuable insights about your guests through features like surveys and competitions.

Software 104

Software Technology Experimentation Data-driven 104

Occam's Razor

OCTOBER 19, 2010

Move from a data collection obsession and develop a crush on data analysys. Experimentation and Testing Tools [The "Why" – Part 1]. Before you use any of these tools please please please read this blog post: The Definitive Guide To (8) Competitive Intelligence Data Sources ]. Three tools. Percent Mobile.

Analytics 136

Analytics Testing Measurement Optimization 136

CIO Business Intelligence

AUGUST 16, 2023

Taking out the trash Division Drift has been key to disruptively digitize Svevia’s remit with the help of the internet of things (IoT), data collection, and data analysis. Not for experiments For a company like Svevia, there’s no room for experimentation, underlines Wester. “We

Risk 98

Risk Cost-Benefit Internet of Things Digital Transformation 98

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. The biggest time sink is often around data collection, labeling and cleaning.

Management 110

Management Machine Learning Experimentation Metrics 110

Occam's Razor

JULY 18, 2011

Most email programs now have preview panes that typically block images and scripts (Outlook, Thunderbird, Gmail, everyone), and default settings prevent data collection due to concerns about viruses. This should drive aggressive experimentation of email content / offers / targeting / every facet by your team. That is okay.

Metrics 138

Metrics Marketing Measurement Cost-Benefit 138

Ontotext

MAY 18, 2020

Ever since Hippocrates founded his school of medicine in ancient Greece some 2,500 years ago, writes Hannah Fry in her book Hello World: Being Human in the Age of Algorithms , what has been fundamental to healthcare (as she calls it “the fight to keep us healthy”) was observation, experimentation and the analysis of data.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

Occam's Razor

DECEMBER 12, 2016

You got me, I am ignoring all the data layer and custom stuff! But, at the end of the day presence of a Tag Manager communicates to me that the company is serious about data collection and data quality. with responsibility for every facet of the entire company's data collection, data reporting and data analysis.

Analytics 142

Analytics Data-driven Strategy Consulting 142

Data Science and Beyond

APRIL 5, 2021

I previously posted about my experiences with RLS offline data collection and visualisation of the collected data , and have since helped with quite a few RLS surveys. My main "day job" focus in 2020 was on being the tech lead for Automattic’s new experimentation platform (ExPlat). Technical work.

Experimentation 61

Experimentation Testing Publishing Data Collection 61

IBM Big Data Hub

MARCH 27, 2024

Some companies attempt to estimate Scope 3 emissions by collecting data from suppliers and manually categorizing data, but progress is hindered by challenges such as large supplier base, depth of supply chains, complex data collection processes and substantial resource requirements.

Experimentation 73

Experimentation Deep Learning Modeling Data-driven 73

Occam's Razor

SEPTEMBER 15, 2014

In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. Media-Mix Modeling/Experimentation. Media-Mix Modeling/Experimentation. Then approach each separately (even though there are tools like Google Analytics that will do both). Tag your mobile website.

Metrics 143

Metrics Reporting Analytics Marketing 143

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Keep in mind that data science is fundamentally interdisciplinary. Let’s look through some antidotes.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Cloudera

FEBRUARY 16, 2022

We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle. So, we have workspaces, projects and sessions in that order.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

Insight

MARCH 27, 2019

Ways to get better data Efforts to improve the quality of data often have a higher return on investment than efforts to enhance models. There are three main ways to improve data: collecting more data, synthesizing new data, or augmenting existing data.

Optimization 75

Optimization Cost-Benefit Modeling Publishing 75

Dataiku

APRIL 22, 2022

For companies with small datasets and a mandate to move beyond experimentation, Frugal AI promises to be a way to overcome this challenge. Storage infrastructure and data collection/processing costs. Frugal by Design: Why Focus on the Data and Not the Code?

Experimentation 59

Experimentation Business Objectives Modeling Manufacturing 59

Depict Data Studio

JULY 13, 2021

Your Data Team is the litmus test for determining which things are important and meaningful and which things are not. Data Teams are for answering questions in real life; experimental design and statistics are for answering scientific questions. ( Ask us more about Data Teams! We love to talk about them!).

Statistics 98

Statistics Testing Recreation/Entertainment Experimentation 98

Cloudera

JUNE 6, 2019

At the other end of the spectrum, the admin may instantiate a number of low-priority dev clusters – these clusters may often run at capacity, not require performance guarantees, but also provide more agility and flexibility for experimentation. We look forward to sharing more information about these new capabilities in the near future.

Metadata 86

Metadata Data Lake Optimization Strategy 86

Domino Data Lab

FEBRUARY 4, 2019

We’ll unpack curiosity as a core attribute of effective data science, look at how that informs process for data science (in contrast to Agile, etc.), and dig into details about where science meets rhetoric in data science. That body of work has much to offer the practice of leading data science teams.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

Occam's Razor

AUGUST 13, 2012

The central team is responsible for analytics frameworks, centralized contracts (tools, consultants), for aggregated company level analysis, complex project execution (experimentation, media mix models etc) and for setting standards. Microsoft has evolved its position on the Do Not Track / Default settings in IE10.

Modeling 125

Modeling Metrics Data Quality Data-driven 125

AWS Big Data

JULY 3, 2023

Buy Experimentation findings The following table shows Sharpe Ratios for various holding periods and two different trade entry points: announcement and effective dates. By using a scalable Amazon EMR on Amazon EKS stack, researchers can easily handle the entire investment research lifecycle, from data collection to backtesting.

Snapshot 105

Snapshot Data Lake Testing Strategy 105

Occam's Razor

MAY 27, 2015

It is an investment in numerous report writers or data (puking) automation or hiring a small army in India or Philippines to do that, before investing in any smart Analyst. It is being hyper-conservative when it comes to creativity and experimentation because of quant-issues.

Marketing Analytics 155

Marketing Analytics Marketing Analytics Advertising 155

DataRobot Blog

OCTOBER 4, 2022

This automation drastically reduces model building, testing, evaluation and deployment time, promotes creativity, and enables rapid experimentation for time-sensitive use cases. The dataset consist of sales data collected for multiple retail stores across North America. Improved Productivity.

Forecasting 59

Forecasting Sales Data-driven Modeling 59

Occam's Razor

JANUARY 7, 2014

Remember none of these jobs will do any data collection/IT work, even in medium-sized companies.) But if their primary output is just data, and not actions to take expressed in English or verbally in weekly senior staff meeting, then they are simply Reporting Squirrels. Most companies hire a Web Analyst, Sr.

Data-driven 142

Data-driven Consulting Reporting Marketing 142

Occam's Razor

JUNE 6, 2007

Experimentation & Testing (A/B, Multivariate, you name it). If you have no experience with Web Analytics then you'll learn what it is and the nitty gritty of data collection and core metrics such as Visits and Time on Site and Bounce Rate and Top Destinations etc. It is a book about Web Analytics 2.0.

Analytics 60

Analytics Metrics Marketing Dashboards 60

Domino Data Lab

OCTOBER 2, 2019

This article covers causal relationships and includes a chapter excerpt from the book Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications by Andrew Kelleher and Adam Kelleher. As data science work is experimental and probabilistic in nature, data scientists are often faced with making inferences.

Machine Learning 68

Machine Learning Measurement Modeling Testing 68