DataRobot

FEBRUARY 10, 2021

Even if all the code runs and the model seems to be spitting out reasonable answers, it’s possible for a model to encode fundamental data science mistakes that invalidate its results. As a data scientist, one of my passions is to reproduce research papers as a learning exercise. Machine learning is a glass cannon.

Modeling 98

Modeling Deep Learning Machine Learning Testing 98

Ontotext

OCTOBER 19, 2023

AIDAVA (short for AI-powered Data Curation & Publishing Virtual Assistant) is a Horizon Europe project, which brings together 14 partners from 9 EU countries. AIDAVA starts with AI – what is the role of AI in this project? AI-based tools will support patients and data stewards during the curation process.

Unstructured Data 64

Unstructured Data Structured Data Publishing Machine Learning 64

The Unofficial Google Data Science Blog

OCTOBER 31, 2016

By PATRICK RILEY For a number of years, I led the data science team for Google Search logs. Some people seemed to be naturally good at doing this kind of high quality data analysis. These engineers and analysts were often described as “careful” and “methodical”. But what do those adjectives actually mean?

Metrics 107

Metrics Measurement Statistics Data Collection 107

Sisense

MARCH 26, 2021

Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative. 39% of companies want to identify new revenue and business opportunities with data analytics.

Analytics 98

Analytics Data-driven Dashboards Experimentation 98

Occam's Razor

JANUARY 31, 2017

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. In the quest for that last important bit, I am insanely obsessive about 1. simplification and 2. pressing the right emotional buttons.

Visualization 148

Visualization IT Strategy Key Performance Indicator 148

Cloudera

SEPTEMBER 20, 2022

AI-assisted comic book art generation is a task I proposed in a blog post I authored on behalf of my employer, Cloudera. Therefore, in conjunction with my blog post, I felt the need to author an ethics statement in the form of this ethics sheet. Introduction. I’m also an amateur artist, and frankly, not a very skilled one.

Deep Learning 85

Deep Learning Cost-Benefit Risk Data-driven 85

Occam's Razor

JUNE 4, 2018

It is 2018—why are there still light gray below-the-fold add to cart buttons? Yet, when I want to pay full price on www.timbuk2.com com , I have to buy a minimum of $99 to get free shipping! I understand channel conflict, Timbuk2, but this is just plain not being hungry. I really want to buy the Closer Laptop bag.

Strategy 124

Strategy Cost-Benefit Testing Sales 124

Occam's Razor

JULY 24, 2018

I have experienced these challenges on numerous occasions myself. Obvious: No CxO understands the story we are trying to tell – or, even the fundamentals of what we do in the world of analytics. The universe of digital analytics is massive and can seem as complex as the cosmic universe. The Implications of Complexity.

Analytics 93

Analytics Metrics Strategy Measurement 93

Occam's Razor

AUGUST 22, 2011

To assist with that process everything's organized into these sections: ~ Digital Marketing: "What is amazing out there? " ~ Digital Analytics: "Am I thinking right? How do I crush tough problems? Be data driven?" " ~ Practical Analysis: "How do I become an Analysis Ninja?"

KPI 124

KPI Metrics Measurement ROI 124

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

FineReport

MARCH 9, 2023

A Quarterly Report is a crucial business report that needs to be created with care and precision. What Is a Quarterly Report? Why Is a Quarterly Report Important? To help you out, here are some fundamental tips on how to write an effective quarterly report. Quarterly reports are critical documents for businesses.

Reporting 52

Reporting Visualization KPI Sales 52

Occam's Razor

OCTOBER 31, 2011

Data analysis is not easy. This blogpost is a collection of tips I share with my friends who are just starting out. I love that the analyst is segmenting the data rather than showing the aggregate trend ("all data in aggregate is essentially crap" – me). That is part of the joy. Is that good?

Statistics 130

Statistics Testing Reporting Key Performance Indicator 130

Occam's Razor

MAY 4, 2010

The hardest kind of "analysis" to provide is in response to open ended questions. That is why I love asking open ended questions! They expose a person's critical thinking ability (something I highly recommend you test when you hire web analysts: Interviewing Tip: Stress Test Critical Thinking.

Testing 112

Testing Advertising Marketing Measurement 112

datapine

OCTOBER 21, 2021

1) What Is A Monthly Report? 2) What Is The Purpose Of Monthly Reporting? 4) What Does A Monthly Report Contain? From startups to big enterprises, businesses are collecting more and more data every day and, it is no secret, that whoever is not taking advantage of it will simply stay behind. What Is A Monthly Report?

Reporting 211

Reporting Dashboards Metrics Cost-Benefit 211

Occam's Razor

DECEMBER 20, 2010

The last blog post shared custom analytics reports that you can use to find amazing insights faster, enabling you to create a focused, truly data driven organization. In this blog post I want to continue the let's help make your day-to-day life better path. I am an unabashed segmentation fan: Web Analytics Segmentation: Do Or Die!

Analytics 118

Analytics Reporting Measurement Data-driven 118

datapine

MARCH 25, 2022

1) What Is Business Intelligence And Analytics? If someone puts you on the spot, could you tell him/her what the difference between business intelligence and analytics is? If someone puts you on the spot, could you tell him/her what the difference between business intelligence and analytics is? What Do The Experts Say?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Occam's Razor

JANUARY 20, 2010

I recently did a webinar for the Search Engine Strategies conference (I am doing the opening conference keynote at SES London and SES New York ) and my Market Motive co-faculty member Greg Jarboe sent me this KPI via email: "Your webcast was a big success. I hope you all find the answers to be of value. #1.

Metrics 90

Metrics B2B Analytics Measurement 90

CIO Business Intelligence

SEPTEMBER 19, 2023

Rogers: This is one of two fundamental challenges of corporate innovation — managing innovation under high uncertainty and managing innovation far from the core — that I have studied in my work advising companies and try to tackle in my new book The Digital Transformation Roadmap. Where does the CIO role fit in the scheme of things?

Digital Transformation 130

Digital Transformation Uncertainty Testing Enterprise 130

Occam's Razor

DECEMBER 3, 2008

Michael, politely, says in an email: "I have done web analytics for five years, I have mastered Omniture, WebTrends and Google Analytics, I provide analysis and not just reporting. I feel like am an Analytics God. What would be your advice for me in terms of next steps for my career?

Analytics 115

Analytics Consulting Metrics Reporting 115

Occam's Razor

AUGUST 11, 2015

I've expressed it often. :). Why would a report created for everyone work for the special someone that you are? Custom reports allow you to deeply focus (by eliminating the rif-raf metrics and dimensions, they save time and show just what you want). I've shared a whole bunch of custom reports in the past.

Reporting 158

Reporting Analytics Metrics Key Performance Indicator 158

CIO Business Intelligence

APRIL 7, 2022

1 reason why people quit their jobs? I’m an old-school person and I do believe that there’s no substitute for managing by walking around,” says Bill Nowacki, decision science lead at KPMG. “I I don’t think there’s a substitute for good managers knowing that your daughter had a soccer match last week.”. Uncaring leaders.

Consulting 145

Consulting Management Interactive Metadata 145

CIO Business Intelligence

MAY 26, 2022

But the tools that data scientists use to create these proofs of concept often don’t translate well into production systems. As a result, it can take more than nine months on average to deploy an AI or ML solution, according to IDC data. “We Is there a model that can provide the necessary results? How can it be built?

Machine Learning 145

Machine Learning Modeling Data-driven Dashboards 145

CIO Business Intelligence

MAY 28, 2022

But the tools that data scientists use to create these proofs of concept often don’t translate well into production systems. As a result, it can take more than nine months on average to deploy an AI or ML solution, according to IDC data. “We Is there a model that can provide the necessary results? How can it be built?

Machine Learning 143

Machine Learning Modeling Data-driven Dashboards 143

Occam's Razor

JANUARY 8, 2018

Like me, I'm sure you are working on complex challenges when it comes to data. Multi-petabyte data warehouses. Multi-touch, cross-channel attribution analysis. Human-centric analysis. Before we proceed with the stories… The unsexy fundamentals in this post focus on user experience. I love David Remnick.

Sales 133

Sales Predictive Analytics Insurance Data Warehouse 133

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Companies, both big and small, are seeking the finest ways to leverage their data into a competitive advantage.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

datapine

DECEMBER 11, 2019

“Software as a service” (SaaS) is becoming an increasingly viable choice for organizations looking for the accessibility and versatility of software solutions and online data analysis tools without the need to rely on installing and running applications on their own computer systems and data centers.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. This blog post introduces the notions of representational uncertainty and interventional uncertainty to paint a fuller picture of what the practicing data scientist is up against. or "does this product change benefit users?"

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

CIO Business Intelligence

DECEMBER 7, 2022

The stakes are too high given the tightly connected global economy, the 24/7 speed of business, digital security threats, and their corresponding data protection regulations. Put simply, it’s no longer a question of if your organization needs to fully optimize its IT production environments, but why haven’t you optimized them already?

ROI 97

ROI Cost-Benefit Modeling Data-driven 97

Occam's Razor

AUGUST 28, 2017

Over the last couple years, I’ve spent an increasing amount of time diving into the possibilities Deep Learning (DL) offers in terms of what we can do with Artificial Intelligence (AI). And, I could not be more excited to see them out in the world. Why the implications are far deeper for humanity than we imagine. What’s the BFD?

Deep Learning 139

Deep Learning Machine Learning Marketing Strategy 139

Occam's Razor

APRIL 21, 2014

Every once in a while I take a pause and answer your questions, your burning questions (!), I'd requested you to submit questions on my Facebook or Google+ pages and am always delighted at the wide range of challenges you share. For some answers, What is Avinash's typical day like? Let's do this! Glenn Walker.

Marketing Analytics 131

Marketing Analytics Marketing Analytics Measurement 131

Domino Data Lab

MAY 8, 2019

For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. Welcome back to our monthly burst of themes and conferences.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

FEBRUARY 7, 2011

Hence every once in a while I flip the tables and ask you for challenges you are facing. It is a great way to stay connected to what's most important to you (and keep the blog and its content relevant!). This past Monday I asked for your questions and you were kind enough to share some awesome questions. Thank you.

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

Occam's Razor

JANUARY 10, 2011

Let's start off the new year with lessons learned from a tough life on the front lines of trying to make the world a smidgen more data-driven. This post is a collection of six things I wish I knew before I started my career in decision support systems (of which web analytics is just the latest incarnation).

Analytics 120

Analytics Measurement Data-driven Optimization 120

The Unofficial Google Data Science Blog

JULY 18, 2023

by MICHAEL QUINN, JEREMY MILES, KA WONG As data scientists, we often encounter situations in which human judgment provides the ground truth. E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. Some of this data is human-labeled. This isn’t a new approach either.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Occam's Razor

NOVEMBER 24, 2009

Twitter is amongst new media channels that are challenging how we communicate, with whom we communicate and perhaps most fundamentally how we (Marketers) influence people. Sadly execution and analysis of these new social media channels has been hobbled by old world thinking. My new book Web Analytics 2.0

Metrics 124

Metrics Analytics Measurement Strategy 124

Occam's Razor

AUGUST 9, 2010

The hardest nut to crack in any type of analytics is getting our decision makers (bosses, leaders, marketers) to take action based on data. It is that no one wants to take action on our data. To illustrate perhaps the most obvious, and yet hidden, problem I wanted to share with you a recent experience I had with data.

Analytics 85

Analytics Dashboards Data-driven Metrics 85

Occam's Razor

MARCH 23, 2010

There are more mistruths and F U D about Web analytics out there than I think is reasonable. What a competitive bunch! I suppose the rational is: self preservation before all else. If you agree to help I am confident we can accomplish a lot. And I doubt it is going to happen soon. We can make use of what we have.

Analytics 118

Analytics Consulting Metrics Experimentation 118