Occam's Razor

SEPTEMBER 15, 2014

If you look at the mobile marketing strategies, you will see they don't reflect this shift to mobile. They will need two different implementations, it is quite likely that you will end up with two sets of metrics (more people focused for mobile apps, more visit focused for sites). Media-Mix Modeling/Experimentation.

Metrics 141

Metrics Reporting Analytics Marketing 141

AWS Big Data

FEBRUARY 12, 2024

Across verticals, thousands of large and small businesses in emerging markets use Gupshup to build conversational experiences across marketing, sales, and support. A series of materialized view refreshes are used to calculate metrics, after which the incremental data from S3 is loaded into Redshift.

Data Warehouse 100

Data Warehouse Analytics Snapshot Cost-Benefit 100

Occam's Razor

SEPTEMBER 30, 2013

We'll start with digital at the highest strategic level, which leads us into content marketing, from there it is a quick hop over to the challenge of metrics and silos, followed by a recommendation to optimize for the global maxima, and we end with the last two visuals that cover social investment and social content strategy.

Marketing Analytics 154

Marketing Analytics Marketing Visualization Analytics 154

O'Reilly on Data

MARCH 31, 2020

You’re responsible for the design, the product-market fit, and ultimately for getting the product out the door. The need for an experimental culture implies that machine learning is currently better suited to the consumer space than it is to enterprise companies. AI doesn’t fit that model.

Management 332

Management Machine Learning Experimentation Metrics 332

Smart Data Collective

JULY 9, 2023

Understanding E-commerce Conversion Rates There are a number of metrics that data-driven e-commerce companies need to focus on. It is a crucial metric that provides priceless information about your website’s ability to transform visitors into paying customers. Some of the most important is conversion rates.

Optimization 74

Optimization Data Analytics Analytics Data-driven 74

Occam's Razor

MARCH 7, 2016

I want you to sign up for something very, very special I'm doing: Writing short stories from the intersection of marketing and analytics. My newsletter is called The Marketing < > Analytics Intersect. but also trying to influence your marketing strategy. My goal is to get you promoted, you are going to love it.

Marketing Analytics 86

Marketing Analytics Marketing Analytics KPI 86

IBM Big Data Hub

DECEMBER 4, 2023

The surge in adoption of generative AI is happening in organizations across every industry, and the generative AI market is projected to grow by 27.02% in the next 10 years according to Precedence Research. And the abundance of data available for training models has opened up vast possibilities for experimentation and learning.

Experimentation 67

Experimentation Modeling Metrics Machine Learning 67

CIO Business Intelligence

FEBRUARY 21, 2024

If you don’t know these tools, you’re at a disadvantage in the job market.” We just happen to have some of the best athletic programs in the country as well, requiring us to stay on the cutting edge of sports marketing and entertainment.” We’ve done a lot of experimentation on these adaptive tools that use AI,” says Ventimiglia.

Recreation/Entertainment 135

Recreation/Entertainment Experimentation Modeling Data-driven 135

DataKitchen

JANUARY 17, 2022

Customers and market forces drive deadlines and timeframes for analytics deliverables regardless of the level of effort required. This large enterprise has many products and brands with overlapping marketing campaigns. The company invested significant effort into managing lists of potential prescribers for certain drugs and treatments.

Experimentation 130

Experimentation Data Lake Marketing Predictive Modeling 130

O'Reilly on Data

OCTOBER 13, 2020

Our previous articles in this series introduce our own take on AI product management , discuss the skills that AI product managers need , and detail how to bring an AI product to market. In Bringing an AI Product to Market , we distinguished the debugging phase of product development from pre-deployment evaluation and testing.

Management 244

Management Metrics Machine Learning Modeling 244

Occam's Razor

MAY 27, 2015

It saddens me deeply that they are not being able to take full advantage of all the new product, marketing, customer relationship opportunities in front of them. I love the shift to intent-based targeting (I cannot stress how massively important to the future of advertising and marketing). Magnificent.

Marketing Analytics 153

Marketing Analytics Marketing Analytics Advertising 153

CIO Business Intelligence

APRIL 2, 2024

Organizations with long, complex, and expensive upfront planning processes due to executive and stakeholder alignment issues can result in missed opportunities if competitors bring capabilities to market faster. It’s like trying to get a jazz quartet, a rock band, a classical orchestra, and a DJ to play in harmony.”

Management 135

Management Digital Transformation Testing Experimentation 135

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

CIO Business Intelligence

MARCH 5, 2024

Many other platforms, such as Coveo’s Relative Generative Answering , Quickbase AI , and LaunchDarkly’s Product Experimentation , have embedded virtual assistant capabilities but don’t brand them copilots. As copilot technology capabilities are changing rapidly, leaders should frequently identify metrics and evaluate strategies.

Cost-Benefit 124

Cost-Benefit Advertising Experimentation Software 124

CIO Business Intelligence

NOVEMBER 21, 2023

Recent charts from venture capital firm Sequoia Capital help show just how many generative AI tools are coming to market to support sales, marketing, design, software engineering, customer support, legal, and other departmental needs.

IT 137

IT Risk Cost-Benefit Risk Management 137

DataKitchen

APRIL 13, 2021

As a result, vendors that market DataOps capabilities have grown in pace with the popularity of the practice. Please let us know if we have forgotten anyone or if you have any comments (marketing@datakitchen.io). A complete DataOps program will have a unified, system-wide view of process metrics using a common data store.

Testing 307

Testing Machine Learning Consulting Data Quality 307

DataRobot Blog

OCTOBER 18, 2022

Model Observability – the ability to track key health and service metrics for models in production – remains a top priority for AI-enabled organizations. Other use cases, such as marketing campaigns, need to run on large quantities of data, but latency isn’t particularly an issue. DataRobot Booth at Big Data & AI Toronto 2022.

Big Data 96

Big Data Forecasting Experimentation Metrics 96

Occam's Razor

JANUARY 9, 2012

The real problem is that our management teams lack imagination when it comes to the web, and our marketing executives continue to do TV on Twitter, catalogs on display ads, irrelevant shouting on search, etc. The problem is Marketing and lack of imagination in using the web/digital channels. The problem, it turns out, is not data.

Marketing 140

Marketing B2B Measurement Risk 140

Occam's Razor

MAY 22, 2006

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). Experimentation and testing help us figure out we are wrong, quickly and repeatedly and if you think about it that is a great thing for our customers, and for our employers. Counter claims?

Experimentation 103

Experimentation Testing Optimization Measurement 103

CIO Business Intelligence

JULY 8, 2022

Road-mapping and transformations also become easier as each group can undertake the work that will most affect its assigned success metrics. When operations and innovation activities reside under the same umbrella, those metrics might be at odds, such as measures of reliability and stability versus those of experimentation.

Cost-Benefit 122

Cost-Benefit Measurement Modeling Metrics 122

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. Gaming: Companies behind popular video games argue that their virtual worlds are the closest thing resembling a “metaverse” on the market.

Advertising 102

Advertising Recreation/Entertainment Experimentation Enterprise 102

Occam's Razor

MARCH 23, 2021

This is very hard to do, we now have a proven seven-step experimentation process, with one of the coolest algorithms to pick matched-markets (normally the kiss of death of any large-scale geo experiment). Now, our Marketing teams know before they spend money if the campaign’s creative will deliver success. Matched market tests.

Analytics 131

Analytics Scorecard Strategy Testing 131

Rocket-Powered Data Science

JULY 6, 2021

MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase. However, it is far from perfect, since it certainly does not have reasoning skills, and it also loses its “train of thought” after several paragraphs (e.g.,

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

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

datapine

FEBRUARY 4, 2020

Let’s face it: every serious business that wants to generate leads and revenue needs to have a marketing strategy that will help them in their quest for profit. Be it in marketing, or in sales, finance or for executives, reports are essential to assess your activity and evaluate the results. What Is A Marketing Report?

Reporting 280

Reporting Marketing Advertising Metrics 280

Occam's Razor

JULY 24, 2018

work (collection, processing, reporting, analysis), processes, org structure, governance models, last-mile gaps , metrics ladders of awesomeness , and… so… much… more. Remember, tools, work, processes, org structure, governance models, last-mile gaps, metrics ladders of awesomeness, and… so… much… more. 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? " ~ Web Metrics: "What is a KPI? " + Standard Metrics Revisited Series. Digital Marketing: "What is amazing out there? Online Marketing Still A Faith Based Initiative.

KPI 124

KPI Metrics Measurement ROI 124

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. Yet, this challenge is not insurmountable. for what is and isn’t possible) to address these challenges.

Management 110

Management Machine Learning Experimentation Metrics 110

Domino Data Lab

SEPTEMBER 10, 2020

This means many projects get stuck in endless research and experimentation. Identify metrics that measure this variability. Existing Metrics: Foot traffic (footfall) monitoring of total customer count in store based on time series. Seasonality / marketing campaign impacts. Identify a source of variability in that driver.

Modeling 101

Modeling IT Data Science Experimentation 101

CIO Business Intelligence

JUNE 27, 2022

Tyson: Although there are other tools in the market for application monitoring, Sentry seems to be the leader. 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 113

Software Experimentation Testing Marketing 113

Occam's Razor

NOVEMBER 2, 2015

if yes, what should your content (and marketing) strategy be. 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).

B2B 167

B2B Metrics Testing Recreation/Entertainment 167

CIO Business Intelligence

APRIL 18, 2022

They also advise communicating the dashboard’s value consistently since that will drive effective dashboard use, both to increase adoption and to improve company performance on key dashboard metrics, the brief says. They invest in cloud experimentation. They invest in their teams to spur innovation. It’s a pitfall.”.

Digital Transformation 145

Digital Transformation Dashboards Cost-Benefit Consulting 145

CIO Business Intelligence

MARCH 21, 2022

Quantitative analysis: Quantitative analysis improves your ability to run experimental analysis, scale your data strategy, and help you implement machine learning. Product intuition: Understanding products will help you perform quantitative analysis and better predict system behavior, establish metrics, and improve debugging skills.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Structured Data 137

Occam's Razor

AUGUST 12, 2013

MCA-O2S covers the challenge of attributing the offline impact (revenue/brand value/butts in seats/phone calls/etc) driven by online marketing and advertising. MCA-AMS covers the challenge of attributing accurate impact of our marketing and advertising efforts across multiple devices (desktop, laptop, mobile, TV). It is sweet.

Modeling 161

Modeling Optimization Marketing Interactive 161

The Unofficial Google Data Science Blog

FEBRUARY 29, 2016

Despite a very large number of experimental units, the experiments conducted by LSOS cannot presume statistical significance of all effects they deem practically significant. The result is that experimenters can’t afford to be sloppy about quantifying uncertainty. “We In statistics, such segments are often called “blocks” or “strata”.

Experimentation 40

Experimentation Metrics Statistics Measurement 40

DataRobot Blog

JULY 28, 2022

In addition to the accuracy of the models we built, we had to consider business metrics, cost, interpretability, and suitability for ongoing operations. Initially, the customer tried modeling using statistical methods to create typical features, such as moving averages, but the model metrics (R-square) was only 0.5 Download Now.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

Occam's Razor

JANUARY 7, 2014

4: The Analytics/Marketing skills in your Analysis Ninjas is 70/30. #3. The organization functions off a clearly defined Digital Marketing & Measurement Model. #1. Digital Analyst, Web Analysis Guru, Digital Marketing Analyst, so on and so forth. More on the Digital Marketing & Measurement Model, DMMM, in #2 below.).

Data-driven 140

Data-driven Consulting Reporting Marketing 140