Domino Data Lab

AUGUST 6, 2021

An enterprise starts by using a framework to formalize its processes and procedures, which gets increasingly difficult as data science programs grow. Financial institution decision makers were advised to be wary of the potential for limitations of models – especially when used differently from their original intent.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. These costs impede the adoption of cloud-native data warehouses.

Data Warehouse 98

Data Warehouse Metadata Cost-Benefit Optimization 98

Occam's Razor

AUGUST 22, 2011

Here you'll find all my blog posts categorized into a structure that will hopefully make it easy for you to discover new content, find answers to your questions, or simply wallow in some excellent analytics narratives. How can my company become great? " How do I crush tough problems? Be data driven?"

KPI 124

KPI Metrics Measurement ROI 124

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. We get this question regularly. Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Occam's Razor

JULY 24, 2018

With such big, complicated subjects, we can get lost in the vast wilderness or become trapped in a silo. Consequently, we lose sight of where we are, how we are doing and which direction is true north. On this blog, you’ve seen numerous attempts by me to remedy the dilemma. That’s because we have to talk about tools (so many!),

Analytics 93

Analytics Metrics Strategy Measurement 93

O'Reilly on Data

NOVEMBER 28, 2023

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. Our survey focused on how companies use generative AI, what bottlenecks they see in adoption, and what skills gaps need to be addressed.

Enterprise 269

Enterprise Modeling Testing Reporting 269

Domino Data Lab

JANUARY 6, 2019

In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. He is also the Co-Chair of the upcoming Data Science Leaders Summit, Rev. for beginning study in data science?

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. This blog post provides a concise session summary, a video, and a written transcript. data science’s emergence as an interdisciplinary field – from industry, not academia. Session Summary. Key highlights from the session include. Transcript.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

The Unofficial Google Data Science Blog

DECEMBER 4, 2015

by AARON BECKER In a previous post, we described how data scientists at Google used Sawzall to perform powerful, scalable analysis. As such, it’s great for writing quick one-off analysis code and iterating on it as we come to a better understanding of the data. the amount of time it took to process a request).

Statistics 54

Statistics Interactive Software Modeling 54

datapine

NOVEMBER 15, 2022

Managing to develop an effective product roadmap goes beyond a product manager’s (PM) vision or intuition, even if these aspects matter as well. In an increasingly data-driven business world, the product management field isn’t exempt from this need. 2) Types Of Product Metrics. 3) Product Metrics Examples You Can Use. is essential.

Metrics 141

Metrics KPI Measurement Dashboards 141

datapine

OCTOBER 14, 2020

Soon businesses of all sizes will have so much amount of information that dashboard software will be the most invaluable resource a company can have. Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. Let’s get started. Interactive Dashboards vs. Static Reporting.

Dashboards 235

Dashboards Interactive Reporting KPI 235

DataKitchen

OCTOBER 25, 2022

Part 2: Introducing Data Journeys. Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately. DataOps Observability to the Rescue.

Testing 130

Testing Data-driven Visualization Dashboards 130

datapine

APRIL 9, 2019

Whether you realize it or not, your human resources (HR) department is one of the most pivotal sectors within your organization. Part of being an effective, data-driven organization in today’s hyper-connected digital world is the intelligent application of data analytics through integrated, HR-focused BI dashboards.

Reporting 155

Reporting Dashboards Metrics Cost-Benefit 155

Occam's Razor

APRIL 21, 2014

Hour-by-hour report please. :)? , I need to pick my spots and decide where to assign resources first. Grow traffic first, with even with bad measurement I can find positive ROI areas for growth or invest time getting Analytics in order first for more objective decision making? We wonder why data people are not loved. :).

Marketing Analytics 131

Marketing Analytics Marketing Analytics Measurement 131

Alation

FEBRUARY 20, 2020

Finding the right data asset in a modern enterprise can be like trying to find a book in a massive library. A 21st century data catalog should: Go beyond a mere inventory to be a truly consumable catalog , with sufficient context to help end-users find and utilize data assets relevant to their business needs.

Metrics 52

Metrics Consulting Machine Learning Statistics 52

Domino Data Lab

MAY 8, 2019

In contrast, some researchers who are exploring the definitions, possibilities, and limitations of model interpretation point toward more comprehensive views. For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. Introduction. Challenges for Transparency ”.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

AUGUST 13, 2012

The questions reveal a bunch of things we used to worry about, and continue to, like data quality and creating data driven cultures. Some tools do pan-session analysis better than others, and there are a number of relatively new analytics solutions on the market today. EU Cookies!) Just the questions total up to 1,353 words.

Modeling 124

Modeling Metrics Data Quality Data-driven 124

Occam's Razor

FEBRUARY 22, 2010

The reason is simple: The ecosystem within which you function on the web contains mind blowing data you can use to become better. How many visitors to your site go visit your competitor's site right after coming to yours? Go beyond targeting men between the age of 28 and 34, use search behavior and be really smart.

Metrics 123

Metrics Advertising Reporting Software 123

Sisense

SEPTEMBER 3, 2019

This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. roll-ups of many rows of data). As the name suggests, a common use case for this is any transactional data. So let’s dive in! OLTP vs OLAP.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

Occam's Razor

SEPTEMBER 30, 2013

Each of the six visuals re-frames a unique facet of the digital opportunity/challenge, and shares how to optimally take advantage of the opportunity/challenge. 1: How to Win, Really Win, at Digital: One-Time PLUS Many-Time Relationships. This post is at the intersection of those two lovely things. Let's do this! #1:

Marketing Analytics 154

Marketing Analytics Marketing Visualization Analytics 154

Occam's Razor

OCTOBER 19, 2010

I was reflecting on that recently and thought it was incredible that in all my years of writing this blog I have never written a blog post, not one single one (!!), My goal is to give you a list of tools that I use in my everyday life as a practitioner (you'll see many of them implemented on this blog). Of course tools.

Analytics 135

Analytics Testing Measurement Optimization 135

Occam's Razor

MARCH 23, 2010

Part of it is fueled by a vocal minority genuinely upset that 10 years on we are still not a statistically powered bunch doing complicated analysis that is shifting paradigms. This constant evolution means that every time it learns how to do something the world changes around her and then it is on to learning the new things to stay relevant.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Occam's Razor

JULY 1, 2008

It's a tall order, but after two years of blogging why stop now. : ). conversion rate (average as reported by shop.org) and you are dutifully reporting our revenue of $1 million as a result. It is quite likely that your website is delivering some value to that 98.3%, how about quantifying it? Because it is hard.

Analytics 116

Analytics Measurement Marketing Sales 116

Depict Data Studio

SEPTEMBER 15, 2020

On her podcast, we talked about my unexpected shift from being an evaluator to a data visualization designer, along with my tips getting started working for yourself or teaching online. Dana: I’m curious how you transitioned from evaluation and research work into what you do now? That way, each school can view their own data?

Visualization 105

Visualization Consulting Dashboards Reporting 105

Depict Data Studio

SEPTEMBER 17, 2019

In my sixth year of self-employment, the demand for data visualization skills is stronger than ever. Are you ready to take your organization’s data communications skills to the next level? This training program is about classic data visualization principles? practical software how-tos? What’s Included. We’ll go broad?

Visualization 40

Visualization Consulting Dashboards Reporting 40

Cloudera

JUNE 16, 2022

The ability to perform analytics on data as it is created and collected (a.k.a. real-time data streams) and generate immediate insights for faster decision making provides a competitive edge for organizations. . CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report.

Data Lake 85

Data Lake Manufacturing Metadata Dashboards 85

Occam's Razor

FEBRUARY 9, 2015

When you are done reading the post, you'll be super mad that your marketing strategy is not more influenced by your competitor's data! Regular readers of the blog know of my deep love for competitive intelligence analysis. My first blog post on the topic of CIA was on 14th Aug 2006! Small sites are out-of-luck.

Metrics 155

Metrics Reporting IT Advertising 155

Sisense

NOVEMBER 23, 2020

In Navigating Change in Crisis , we explore how individuals and companies are adapting to a “new normal.” Learn how organizations, dev teams, and frontline users are adjusting to meet these challenges of our radically altered world. The global pandemic has driven home the fact that data is vital to the success of every organization.

Analytics 98

Analytics Data-driven Marketing Reporting 98

IBM Big Data Hub

FEBRUARY 9, 2024

2024 thus stands to be a pivotal year for the future of AI, as researchers and enterprises seek to establish how this evolutionary leap in technology can be most practically integrated into our everyday lives. Tangible experience (if any) was limited to messing around with ChatGPT and DALL-E.

Cost-Benefit 102

Cost-Benefit Modeling Data-driven Enterprise 102

Jet Global

JANUARY 30, 2024

Candidates crave a deeper connection to their companies, a sense of ownership in their work beyond just a paycheck. Beyond its alluring appeal to talent, ESPPs offer strategic advantages in the current volatile market. In today’s talent war, where skilled employees hold more power, traditional benefits simply aren’t enough.

Reporting 52

Reporting Management Optimization Software 52

Jet Global

MARCH 29, 2022

Born and built in the cloud as an enterprise resource planning (ERP) solution, Oracle NetSuite enables organizations to create a unified view of their business. While it generates reports on enterprise performance, the platform wasn’t built to optimize the reporting process. Automate Data Collection and Imports.

Reporting 52

Reporting Optimization Finance Data Collection 52

Jet Global

MARCH 4, 2024

The Corporate Sustainability Reporting Directive (CSRD) marks a significant leap forward in environmental, social, and governance (ESG) transparency, but its phased timelines pose substantial challenges for financial reporting. Read our blog for more details information on CSRD requirement timelines.

Reporting 52

Reporting Data-driven Software Risk 52