IBM Big Data Hub

AUGUST 11, 2023

Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. Creating an MLOps process builds in oversight and data validation to provide good governance, accountability and accuracy of data collection.

Data Science 56

Data Science Machine Learning Cost-Benefit Deep Learning 56

Occam's Razor

SEPTEMBER 4, 2012

Two companies, Skullcandy and TripIt, delivering on four amazing outcomes that inspire us to set the bar significantly higher for our mobile efforts in 2015 (or sooner!). Snow, skate, surf and motox reports are perfectly targeted to the potential audience's tastes. That is what all marketing in 2015 will look like.

Marketing 144

Marketing Data mining Measurement Strategy 144

Occam's Razor

MARCH 30, 2017

Yes, a silo but so much better than 2015. We are needed today because data collection is hard. Most humans employed by companies were unable to access data – not intelligent enough or trained enough or simply time pressures. So, we have an army of glorified data regurgitators. They send out reports and dashboards.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

Occam's Razor

SEPTEMBER 15, 2014

In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. Dive into Mobile Reporting and Analysis. Dive into Mobile Reporting and Analysis. Dive into Mobile Reporting and Analysis. What do you learn from this report? What do you learn from this report?

Metrics 141

Metrics Reporting Analytics Marketing 141

IBM Big Data Hub

FEBRUARY 2, 2024

A 2023 report found that global investment in green or low-carbon energy sources exceeded USD $1 trillion, 1 while advanced data collection tools and artificial intelligence (AI) are helping to better monitor emissions and inform sustainability strategy.

Optimization 93

Optimization Cost-Benefit Strategy Technology 93

Smart Data Collective

MARCH 24, 2020

According to a 2015 whitepaper published in Science Direct , big data is one of the most disruptive technologies influencing the field of academia. Predicting academic performance is one of the key research topics in Big Data in education. Data collection. Organization of data collection in a single database.

Big Data 101

Big Data Internet Publishing and Broadcasting Broadcasting Data Collection 101

Occam's Razor

JANUARY 31, 2017

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. That's the difference between someone who reports data to someone who drives change in behavior. simplification and 2.

Visualization 148

Visualization IT Strategy Key Performance Indicator 148

Rita Sallam

AUGUST 28, 2022

Solar power is being used successfully in many African nations, but data collection is poor and so hides the important social benefits of this energy source. In the five-year period since the 2015 paris climate agreement , developing economies have led the way in renewable energy generation, contributing over 70% to the overall change.

Analytics 52

Analytics Data Analytics Cost-Benefit Measurement 52

Andrew White

JANUARY 9, 2022

First, how we measure emissions and carbon footprint is about data design and policy. For example I would argue that most organizations that report their carbon footrest are not doing it consistently and nor are they doing it correctly. We have a lot of data literacy material published and we annually update our must-have roles work.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Domino Data Lab

FEBRUARY 4, 2019

These two points provide a different kind of risk management mechanism which is effective for science, specifically data science. Of course, some questions in business cannot be answered with historical data. Instead they require investment, tooling, and time for data collection. Friction ensued.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

datapine

DECEMBER 28, 2021

Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Misleading statistics refers to the misuse of numerical data either intentionally or by error. 29, 2015, Republicans from the U.S. What Is A Misleading Statistic?

Statistics 363

Statistics Advertising Visualization Data mining 363

Occam's Razor

FEBRUARY 9, 2015

How is competitive intelligence data collected? Competitive intelligence data will never match your site's analytics tool. CI data collection. How does any tool have access to your website or mobile app data? But in the lovely environment of the web there are a number of ways to collect your data.

Metrics 155

Metrics Reporting IT Advertising 155

Occam's Razor

OCTOBER 12, 2017

Years and years of practice with R or "Big Data." " Years of proficiency in analyzing m campaigns for n channels resulting in production of z reports. There is one other video I want you to watch, from the 2015 edition. Years of having used tool x. This is normal. Reflecting on my experience, it is not sufficient.

Marketing 136

Marketing Analytics Machine Learning Strategy 136

O'Reilly on Data

JUNE 16, 2020

Interrogate reported data and information with a healthy skepticism through thinking about the processes that generate the data. Nate Silver and FiveThirtyEight have put substantial thought into how to report their probabilistic forecasts. Prioritize which decisions to make and what actions to take in an uncertain world.

Uncertainty 275

Uncertainty Testing Risk Reporting 275