CIO Business Intelligence

JUNE 27, 2022

I do still contribute to open-source projects and when I can I try to contribute code to Sentry, but definitely not as much as I want. Tyson: You’re coming up to two years since you added Sentry’s ability to monitor for performance which has some pretty fine-grained metrics in terms of identifying where bottlenecks are located in code.

Software 115

Software Experimentation Testing Marketing 115

CIO Business Intelligence

MAY 1, 2024

Pilots can offer value beyond just experimentation, of course. McKinsey reports that industrial design teams using LLM-powered summaries of user research and AI-generated images for ideation and experimentation sometimes see a reduction upward of 70% in product development cycle times. Now nearly half of code suggestions are accepted.

Cost-Benefit 143

Cost-Benefit Metrics Insurance Measurement 143

O'Reilly on Data

MAY 14, 2020

AI PMs should enter feature development and experimentation phases only after deciding what problem they want to solve as precisely as possible, and placing the problem into one of these categories. Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model.

Management 363

Management Experimentation B2B Machine Learning 363

datapine

FEBRUARY 4, 2020

But first, we will start with a basic definition and some tips on creating these kinds of reports. Structure your metrics. As with any report you might need to create, structuring and implementing metrics that will tell an interesting and educational data-story is crucial in our digital age. Let’s dig deeper. click to enlarge**.

Reporting 280

Reporting Marketing Advertising Metrics 280

datapine

MAY 20, 2020

With a powerful dashboard maker , each point of your customer relations can be optimized to maximize your performance while bringing various additional benefits to the picture. To inspire your customer relationship management report for managing your metrics, explore our cutting-edge selection of KPI examples.

Dashboards 265

Dashboards Reporting KPI Visualization 265

Occam's Razor

JULY 18, 2011

To not have it as an active part of your marketing portfolio is sub-optimal. You must use metrics that are unique to the medium. Ready for the best email marketing campaign metrics? So for our email campaign analysis let’s look at metrics using that framework. Optimal Acquisition Email Metrics. Outcomes.

Metrics 137

Metrics Marketing Measurement Cost-Benefit 137

Occam's Razor

DECEMBER 9, 2009

some reports going out on schedule (even if data pukes) then an optimal path might be to centralize some where (see item #2 below). [B] After a lot of experimentation and failures I have come to realize that often (if above conditions are met) Marketing is the best organization for Web Analytics to be in. You are out man!

Analytics 95

Analytics Data-driven Marketing Sales 95

Occam's Razor

FEBRUARY 26, 2008

1: Implement a Experimentation & Testing Program. # 1: Implement a Experimentation & Testing Program. The Google Website Optimizer is free ! Experimentation and Testing: A Primer. Build A Great Web Experimentation & Testing Program. # Experimentation and Testing: A Primer. 6: If All Else Fails.

Management 68

Management Experimentation Testing Strategy 68

Occam's Razor

JUNE 6, 2007

Bonus: Interactive CD: Contains six podcasts, one video, two web analytics metrics definitions documents and five insightful powerpoint presentations. Experimentation & Testing (A/B, Multivariate, you name it). What's the optimal organization structure (and who should own web analytics!)? Clicks and outcomes.

Analytics 60

Analytics Metrics Marketing Dashboards 60

DataKitchen

APRIL 13, 2021

Because it is such a new category, both overly narrow and overly broad definitions of DataOps abound. Observe, optimize, and scale enterprise data pipelines. . A complete DataOps program will have a unified, system-wide view of process metrics using a common data store. Monte Carlo Data — Data reliability delivered.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Occam's Razor

NOVEMBER 12, 2006

Stepping back for a moment here is the definition of conversion rate that is recommended: Conversion Rate = Outcomes / Unique Visitors. Focus on the Why (use Surveys or Lab Usability or Experimentation & Testing for example). Is Real Conversion Rate metric a good one? Another reason is that we over estimate what is possible.

Measurement 99

Measurement Analytics Optimization Marketing 99

Corinium

APRIL 25, 2019

Yes, definitely! Life insurance needs accurate data on consumer health, age and other metrics of risk. It definitely depends on the type of data, no one method is always better than the other. Yes, definitely, the only questions in my mind are when and how it comes about. But I’ll give an example in favour of each.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

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. Another pattern that I’ve seen in good PMs is that they’re very metric-driven.

Management 110

Management Machine Learning Experimentation Metrics 110

Occam's Razor

FEBRUARY 28, 2017

To ensure customer delight was delivered in a timely manner, it was also decided that Average Call Time (ACT) would now be The success metric. The success metric, ACT, did go down. That ACT was an activity metric was terrible – if you have a The success metric, it should always be an outcome metric. Another issue.

Key Performance Indicator 106

Key Performance Indicator Metrics Measurement Advertising 106

Occam's Razor

AUGUST 12, 2013

In a recent post, Multi-Channel Attribution: Definitions, Models and a Reality Check , I outlined three distinct attribution challenges. The outcome in either scenario is a restructuring of the organization that is exquisitely geared towards taking advantage of portfolio optimization. . ~ Multi-Channel Attribution Analysis. ~

Modeling 161

Modeling Optimization Marketing Interactive 161

AWS Big Data

JANUARY 24, 2023

The utility for cloning and experimentation is available in the open-sourced GitHub repository. It contains references to data that is used as sources and targets in AWS Glue ETL (extract, transform, and load) jobs, and stores information about the location, schema, and runtime metrics of your data.

Data Architecture 67

Data Architecture Metadata Data Lake Snapshot 67

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. Ensure a culture that supports a steady process of learning and experimentation. Brace yourselves for impact. Taking a pulse.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

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. There’s no one-size-fits-all definition of what’s required across all verticals. Let’s look at two issues, both more social than technical, that bubble to the top of the list.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

AUGUST 13, 2012

Yehoshua I've covered this topic in detail in this blog post: Multi-Channel Attribution: Definitions, Models and a Reality Check. That means: All of these metrics are off. I can use that to hypothesize what an optimal budget allocation might look like. What's possible to measure.

Modeling 124

Modeling Metrics Data Quality Data-driven 124

Occam's Razor

MARCH 23, 2010

My problem with these mistruths and FUD is that they result in a ton of practitioners and companies making profoundly sub optimal choices, which in turn results in not just much longer slogs but also spectacular career implosions and the entire web analytics industry suffering. This is sad. Even a little frustrating. Likely not.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Occam's Razor

OCTOBER 19, 2010

Given the definition above, I am a firm believer in Multiplicity. A huge vast majority of clicks coming from search engines continue to be organic clicks (which is why I love and adore search engine optimization). Mongoose Metrics ~ ifbyphone. Experimentation and Testing Tools [The "Why" – Part 1]. Second Bit Of Context.

Analytics 135

Analytics Testing Measurement Optimization 135

Occam's Razor

FEBRUARY 7, 2011

But each keyword gets "credit" for other metrics. I have personally had a lot of success using Controlled Experimentation techniques, such as, say, Media Mix Modeling, to understand both current available demand and also segment conversion effectiveness. Alex Cohen: How to optimize with sparse data! or non-U.S.),

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

Occam's Razor

MAY 27, 2015

Here are the digital myths that are leading us down a profoundly sub-optimal path: 1. Per our friends at Wikipedia, Programmatic encompasses an array of technologies that automate the buying, placement and optimization of media inventory. Definitely buy my data books! :). Programmatic platforms are a panacea. The web is dead.

Marketing Analytics 153

Marketing Analytics Marketing Analytics Advertising 153

Occam's Razor

JANUARY 7, 2014

Before we go too deep, let's get a couple of definitions right first. They are generic mash-ups that tailor to almost no one's needs, and more often than not contain awful things like nine not-really-thought out metrics for one dimension in a report. Pick hard metrics to designate as your key performance indicators.

Data-driven 140

Data-driven Consulting Reporting Marketing 140

Occam's Razor

NOVEMBER 2, 2015

Success Metrics. In my Oct 2011 post, Best Social Media Metrics , I'd created four metrics to quantify this value. I believe the best way to measure success is to measure the above four metrics (actual interaction/action/outcome). It can be a brand metric, say Likelihood to Recommend. It is not that hard.

B2B 167

B2B Metrics Testing Recreation/Entertainment 167

O'Reilly on Data

MAY 11, 2020

It predates recommendation engines, social media, engagement metrics, and the recent explosion of AI, but not by much. The Entertainment” is not the result of algorithms, business incentives and product managers optimizing for engagement metrics. In a long-term sense, definitely not. YOUTUBE, CONSPIRACY, AND OPTIMIZATION.

Modeling 190

Modeling Advertising Recreation/Entertainment Metrics 190