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 142

Cost-Benefit Metrics Insurance Measurement 142

datapine

FEBRUARY 4, 2020

While your keyboard is burning and your fingers try to keep up with your brain and comprehend all the data you’re writing about, using an interactive online data visualization tool to set specific time parameters or goals you’ve been tracking can bring a lot of saved time and, consequently, a lot of saved money. Structure your metrics.

Reporting 280

Reporting Marketing Advertising Metrics 280

Occam's Razor

SEPTEMBER 15, 2014

Company UX leaders are happy to stink less by taking the sub-optimal path of responsive design, rather than create a mobile-unique experience (your customers tend to do different things on your desktop site than your mobile site!). Media-Mix Modeling/Experimentation. For the first couple of interactions, give her/him that data.

Metrics 141

Metrics Reporting Analytics Marketing 141

datapine

JANUARY 31, 2022

They’re about having the mindset of an experimenter and being willing to let data guide a company’s decision-making process. This benefit goes directly in hand with the fact that analytics provide businesses with technologies to spot trends and patterns that will lead to the optimization of resources and processes.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

The Unofficial Google Data Science Blog

APRIL 16, 2019

by MICHAEL FORTE Large-scale live experimentation is a big part of online product development. This means a small and growing product has to use experimentation differently and very carefully. This blog post is about experimentation in this regime. Such decisions involve an actual hypothesis test on specific metrics (e.g.

Experimentation 68

Experimentation Sales Metrics Measurement 68

DataRobot Blog

SEPTEMBER 30, 2022

By tracking service, drift, prediction data, training data, and custom metrics, you can keep your models and predictions relevant in a fast-changing world. Adoption of AI/ML is maturing from experimentation to deployment. How do you track the integrity of a machine learning model in production? Model Observability can help.

Slice and Dice 52

Slice and Dice Modeling Metrics Experimentation 52

IBM Big Data Hub

SEPTEMBER 25, 2023

With a few taps on a mobile device, riders request a ride; then, Uber’s algorithms work to match them with the nearest available driver and calculate the optimal price. This allowed them to focus on SQL-based query optimization to the nth degree. But the simplicity ends there. Every transaction, every cent matters.

OLAP 90

OLAP Data Lake Data-driven Snapshot 90

Occam's Razor

AUGUST 12, 2013

Last Interaction/Last Click Attribution model. First Interaction/First Click Attribution Model. The outcome in either scenario is a restructuring of the organization that is exquisitely geared towards taking advantage of portfolio optimization. Last Interaction/Last Click Attribution model. Linear Attribution Model.

Modeling 161

Modeling Optimization Marketing Interactive 161

Cloudera

APRIL 9, 2021

To effectively leverage their predictive capabilities and maximize time-to-value these companies need an ML infrastructure that allows them to quickly move models from data pipelines, to experimentation and into the business. Meetup – join an interactive meetup live-stream around this use case led by Cloudera experts.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Occam's Razor

MAY 15, 2006

While there are many options for qualitative analysis, perhaps the most important qualitative data point is how Customers/Visitors interact with your “web presence.� Visitor interaction can lead to actionable insights faster while having a richer impact on your decision making. Surveying (the grand daddy of them all).

Metrics 100

Metrics Experimentation Testing Interactive 100

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

Nevertheless, A/B testing has challenges and blind spots, such as: the difficulty of identifying suitable metrics that give "works well" a measurable meaning. This is essentially the same as finding a truly useful objective to optimize. accounting for effects "orthogonal" to the randomization used in experimentation.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

Occam's Razor

MARCH 23, 2021

The other dimension to consider is most Analtyics teams kick into gear after the campaign is concluded, after the customer interaction has taken place in the call center, and after the funds budgeted have already been spent. The benchmark for the beautiful metric AVOC is 15.3%. More shouting is not really better – and it is expensive!

Analytics 131

Analytics Scorecard Strategy Testing 131

AWS Big Data

JULY 26, 2023

Using augmented ML search and generative AI with vector embeddings Organizations across all verticals are rapidly adopting generative AI for its ability to handle vast datasets, generate automated content, and provide interactive, human-like responses. The vector index supports up to 1,000 fields.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

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

AWS Big Data

NOVEMBER 14, 2023

With a combination of low-latency data streaming and analytics, they are able to understand and personalize the user experience via a seamlessly integrated, self-reliant system for experimentation and automated feedback. Real-time streaming data technologies are essential for digital transformation.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

Cloudera

JUNE 6, 2019

When a mix of batch, interactive, and data serving workloads are added to the mix, the problem becomes nearly intractable. This approach seeks to optimize resource utilization or infrastructure efficiency. 2) By workload type. Splitting compute clusters by type of workload is another good strategy. 3) By workload priority.

Metadata 86

Metadata Data Lake Optimization Strategy 86

Corinium

APRIL 25, 2019

Life insurance needs accurate data on consumer health, age and other metrics of risk. All assets need to be optimally leveraged for maximum business value while also being protected from misuse, whether there was malicious intent or not, and this needs to be the responsibility of whomever is responsible for that asset in the company.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

CIO Business Intelligence

JUNE 27, 2022

David Cramer: I love the open source community so I would build a lot of things in open source to interact with my peers. 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 104

Software Experimentation Testing Marketing 104

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. "So what if no one interacted with your Twitter feed, at least they saw it!" I believe the best way to measure success is to measure the above four metrics (actual interaction/action/outcome).

B2B 167

B2B Metrics Testing Recreation/Entertainment 167

Occam's Razor

AUGUST 13, 2012

That means: All of these metrics are off. It is hard, it is time consuming, but it also allows you to test your hypotheses on possible optimal allocations, test them in the real world, find the best answers and be brilliant with your marketing spend mix. I can use that to hypothesize what an optimal budget allocation might look like.

Modeling 124

Modeling Metrics Data Quality Data-driven 124

Occam's Razor

DECEMBER 12, 2016

AND, that if I have good ideas, they will get to market very quickly – making our engagement worth the current interaction and the continued success of new ideas after the engagement. What one critical metric will help you clearly measure performance for each strategy above? This is sub-optimal. 50% minimum.

Analytics 141

Analytics Data-driven Strategy Consulting 141

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

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. Using Customer Journey Orchestration and AI to Optimize Customer Experience: [link].

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

Domino Data Lab

AUGUST 22, 2019

You can home in on an optimal value by specifying, say, 32 dimensions and varying this value by powers of 2. If we were using CBOW, then a window size of 5 (for a total of 10 context words) could be near the optimal value. Interactive bokeh plot of two-dimensional word-vector data. As summarized in Table 11.1, Example 11.11

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Occam's Razor

JULY 26, 2010

PALM: People Against Lonely Metrics]. So why not your metrics? This is the problem with lonely metrics. Why not find a BFF for your lonely metric and present something like this. I found a "you complete me" for my Visits metric, Bounce Rate. Or an actual outcome metric. 2: Join the PALM club.

Metrics 96

Metrics Measurement Dashboards Reporting 96

Domino Data Lab

AUGUST 26, 2019

When hyperparameters are also used for optimization and tuned for a specific dataset, they also impact predictive accuracy. Searching is a very general approach to solving or optimizing problems. I will continue using parameters (which are optimized during training) and hyperparameters (which are tuned via cross-validation).

Testing 79

Testing Modeling Machine Learning Metrics 79

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. Or something. I took this tangent for two reasons.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Occam's Razor

AUGUST 23, 2010

Why comes from lab usability studies , website surveys , "follow me home" exercises, experimentation & testing , and other such delightful endeavors. In as much, heuristic evaluations follow a set of well established rules (best practices) in web design and how website visitors experience websites and interact with them.

Analytics 116

Analytics Cost-Benefit Testing Optimization 116

Domino Data Lab

MAY 8, 2019

If your “performance” metrics are focused on predictive power, then you’ll probably end up with more complex models, and consequently less interpretable ones. They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

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!)? Bonus: Interactive CD.

Analytics 60

Analytics Metrics Marketing Dashboards 60

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. Bonus: Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to! <

Marketing Analytics 153

Marketing Analytics Marketing Analytics Advertising 153

Occam's Razor

JULY 1, 2008

You know exactly how much online contributed to offline sales, you know how to optimize your online campaigns (buy Apple iPod terms to increase Microsoft Zune sales!!), They measured "impressions", "interactions", "impact" and "income" And they measured "fraud"! Nice ain't it?

Analytics 116

Analytics Measurement Marketing Sales 116