Occam's Razor

JANUARY 7, 2014

First… it is important to realize that big data's big imperative is driving big action. 7: 25% of all analytical effort is dedicated to data visualization/enhancing data's communicative power. #6: The organization functions off a clearly defined Digital Marketing & Measurement Model. #1.

Data-driven 142

Data-driven Consulting Reporting Marketing 142

O'Reilly on Data

OCTOBER 19, 2021

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. Why: Data Makes It Different. Not only is data larger, but models—deep learning models in particular—are much larger than before.

IT 360

IT Testing Experimentation Software 360

CIO Business Intelligence

JANUARY 10, 2025

The report underscores a growing commitment to AI-driven innovation, with 67% of business leaders predicting that gen AI will transform their organizations by 2025. The data also shows growing momentum around AI agents, with over half of organizations exploring their use. However, only 12% have deployed such tools to date.

ROI 81

ROI Enterprise Broadcasting Metrics 81

CIO Business Intelligence

MARCH 4, 2025

The Block ecosystem of brands including Square, Cash App, Spiral and TIDAL is driven by more than 4,000 engineers and thousands of interconnected software systems. Setting the roadmap Blocks developer experience team determines its roadmap using quantitative and qualitative data to identify opportunities and measure impact.

Experimentation 69

Experimentation Metrics Data-driven Measurement 69

AWS Big Data

JANUARY 15, 2025

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. Together, these capabilities enable terminal operators to enhance efficiency and competitiveness in an industry that is increasingly data driven.

IoT 111

IoT Machine Learning Metadata Data-driven 111

Occam's Razor

SEPTEMBER 19, 2011

This: You understand all the environmental variables currently in play, you carefully choose more than one group of "like type" subjects, you expose them to a different mix of media, measure differences in outcomes, prove / disprove your hypothesis (DO FACEBOOK NOW!!!), Measuring Incrementality: Controlled Experiments to the Rescue!

Measurement 120

Measurement Advertising Testing Marketing 120

Corinium

JUNE 6, 2019

Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers? Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. The data will enable companies to provide more personalized services and product choices.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

Testing 304

Testing Machine Learning Consulting Data Quality 304

Occam's Razor

AUGUST 22, 2011

Be data driven?" Key To Your Digital Success: Web Analytics Measurement Model. Six Rules For Creating A Data Driven Boss! Be data driven?" " Measuring Incrementality: Controlled Experiments to the Rescue! Barriers To An Effective Web Measurement Strategy [+ Solutions!].

KPI 125

KPI Metrics Measurement ROI 125

CIO Business Intelligence

AUGUST 20, 2024

Pre-pandemic, high-performance teams were co-located, multidisciplinary, self-organizing, agile, and data-driven. These teams focused on delivering reliable technology capabilities, improving end-user experiences, and establishing data and analytics capabilities.

IT 141

IT Digital Transformation Experimentation Risk 141

O'Reilly on Data

OCTOBER 13, 2020

From a technical perspective, it is entirely possible for ML systems to function on wildly different data. For example, you can ask an ML model to make an inference on data taken from a distribution very different from what it was trained on—but that, of course, results in unpredictable and often undesired performance. I/O validation.

Management 286

Management Machine Learning Metrics Modeling 286

CIO Business Intelligence

JANUARY 28, 2025

This transition represents more than just a shift from traditional systemsit marks a significant pivot from experimentation and proof-of-concept to scaled adoption and measurable value. Data sovereignty and local cloud infrastructure are expected to remain high on the agenda, particularly within the GCC countries.

Digital Transformation 52

Digital Transformation Data-driven Experimentation Strategy 52

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. First, you figure out what you want to improve; then you create an experiment; then you run the experiment; then you measure the results and decide what to do.

Metrics 157

Metrics KPI Analytics Key Performance Indicator 157

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

datapine

FEBRUARY 4, 2020

Today’s digital data has given the power to an average Internet user a massive amount of information that helps him or her to choose between brands, products or offers, making the market a highly competitive arena for the best ones to survive. First things first – organizing and prioritizing your marketing data.

Reporting 280

Reporting Marketing Advertising Metrics 280

CIO Business Intelligence

SEPTEMBER 12, 2024

Frustrated by the lack of generative AI tools, he discovers a free online tool that analyzes his data and generates the report he needs in a fraction of the usual time. A routine audit uncovers severe compliance issues with how the tool accesses and stores data. The accolades are short-lived.

Experimentation 111

Experimentation Risk Cost-Benefit Strategy 111

Rocket-Powered Data Science

JULY 7, 2019

AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics).

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Occam's Razor

MARCH 23, 2010

Too many new things are happening too fast and those of us charged with measuring it have to change the wheels while the bicycle is moving at 30 miles per hour (and this bicycle will become a car before we know it – all while it keeps moving, ever faster). You'll have no time for data analysis, certainly not for data actioning. ~

Analytics 119

Analytics Consulting Metrics Experimentation 119

CIO Business Intelligence

AUGUST 15, 2024

Many of those gen AI projects will fail because of poor data quality, inadequate risk controls, unclear business value , or escalating costs , Gartner predicts. In the enterprise, huge expectations have been partly driven by the major consumer reaction following the release of ChatGPT in late 2022, Stephenson suggests.

ROI 143

ROI Cost-Benefit Experimentation Deep Learning 143

CIO Business Intelligence

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

DataKitchen

MARCH 8, 2023

These three objectives are interconnected and essential to the success of any data team. Delivering insight to customers without error is critical to the success of any data team. The team must ensure that the data they are working with is clean and accurate and that the analysis created from it is rigorous and reliable.

Analytics 130

Analytics Manufacturing Data-driven Data Analytics 130

Smart Data Collective

JULY 9, 2023

E-commerce businesses around the world are focusing more heavily on data analytics. There are many ways that data analytics can help e-commerce companies succeed. Understanding E-commerce Conversion Rates There are a number of metrics that data-driven e-commerce companies need to focus on. billion on analytics last year.

Optimization 97

Optimization Data Analytics Analytics Data-driven 97

CIO Business Intelligence

OCTOBER 15, 2024

Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps. It may surprise you, but DevOps has been around for nearly two decades.

Enterprise 143

Enterprise Testing Business Objectives Experimentation 143

CIO Business Intelligence

OCTOBER 17, 2024

On one hand, they must foster an environment encouraging innovation, allowing for experimentation, evaluation, and learning with new technologies. This structured approach allows for controlled experimentation while mitigating the risks of over-adoption or dependency on unproven technologies.

Risk 108

Risk Experimentation Testing Strategy 108

CIO Business Intelligence

FEBRUARY 7, 2024

Franchetti acknowledges that a KPI- and outcome-driven method is still appropriate for many technology rollouts, but “the organic approach is better for AI, so our deep software development subject matter experts can innovate without a targeted business outcome,” he says. “Of Today, 35% of our IT support is fully automated.

KPI 105

KPI Measurement Experimentation Finance 105

Occam's Razor

AUGUST 10, 2006

Its goal is not to figure out how to spam decision makers with data. The first component of the Trinity mindset is Behavior analysis , what we traditionally consider clickstream data analysis. We collect all the clickstream data and the objective is to analyze it from a higher plane of reference. No more measuring HITS.

Measurement 99

Measurement Experimentation Metrics Testing 99

CIO Business Intelligence

DECEMBER 19, 2024

In especially high demand are IT pros with software development, data science and machine learning skills. Government agencies and nonprofits also seek IT talent for environmental data analysis and policy development.

IT 52

IT IoT Machine Learning Optimization 52

Occam's Razor

JULY 1, 2008

3 ] Provide you with a bushel of specific multichannel measurement ideas to help quantify the offline impact of your online presence. Why should you care about measuring multichannel impact? There are many jobs your website is doing, it is your job to measure the holistic impact. Two words: Primary Key. Well just assume. :).

Analytics 116

Analytics Measurement Marketing Sales 116

Occam's Razor

DECEMBER 12, 2016

There is, almost literally, an unlimited number of things you could focus on to create a high impact data-influenced organization. I was asked a few weeks back: " What companies should we proactively help with analytics, for free, so that they can make smarter data-influenced decisions ?" Data quality plays a role into this.

Analytics 142

Analytics Data-driven Strategy Consulting 142

Insight

APRIL 28, 2020

Originally posted on Open Data Science (ODSC). In this article, we share some data-driven advice on how to get started on the right foot with an effective and appropriate screening process. Designing a Data Science Interview Onsite interviews are indispensable, but they are time-consuming.

Data-driven 53

Data-driven Data Science Experimentation Measurement 53

Occam's Razor

AUGUST 12, 2013

There are few things more complicated in analytics (all analytics, big data and huge data!) There is lots of missing data. And as if that were not enough, there is lots of unknowable data. The Premium customers get an interesting Data Driven Attribution Model, small price for the rest of us to pay.

Modeling 162

Modeling Optimization Marketing Interactive 162

Occam's Razor

SEPTEMBER 15, 2014

But why blame others, in this post let's focus on one important reason whose responsibility can be squarely put on your shoulders and mine: Measurement. Create a distinct mobile website and mobile app measurement strategies. Media-Mix Modeling/Experimentation. Framing the Opportunity. Tag your mobile website. Everything.

Metrics 143

Metrics Reporting Analytics Marketing 143

Data Science and Beyond

DECEMBER 23, 2018

In my opinion it’s more exciting and relevant to everyday life than more hyped data science areas like deep learning. Hernán and Robins are both epidemiologists, which means they often have to deal with data with strong limitations on sample size and feasibility of experiments. Hence, the book is full of practical examples.

Deep Learning 103

Deep Learning Experimentation Data Science Data-driven 103

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. The last 10+ years or so have seen Insurance become as data-driven as any vertical industry.

Insurance 150

Insurance Risk IoT Data-driven 150

Occam's Razor

JANUARY 9, 2012

Now here's another surprise: These rules/insights/mind shifts are not about data! Here's important context (before we get into the rules for revolutionaries)… The Fundamental Web Analytics Problem Is Not Data! Most companies are astonishingly blasé about data and possibilities of measurement.

Marketing 142

Marketing B2B Measurement Risk 142

CIO Business Intelligence

JUNE 11, 2024

One reason CEOs restructure new digital, data, AI, or experience departments with separate C-level leaders is if IT is underperforming and the CIO isn’t driving transformation. What dataops, data governance, machine learning, and AI capabilities are IT developing as competitive differentiators?

IT 136

IT Digital Transformation Broadcasting Business Objectives 136

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. Without large amounts of labeled training data solving most AI problems is not possible.

Management 110

Management Machine Learning Experimentation Metrics 110