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 85

Optimization Cost-Benefit Strategy Reporting 85

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

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 138

Marketing Analytics Machine Learning Strategy 138

FineReport

MARCH 7, 2024

Note：All Gantt chart examples in this article are created using the enterprise reporting software FineReport. Let’s take the traditional Office software Excel and the BI reporting tool FineReport as an example to demonstrate the method of making a Gantt chart. Prepare the Data Firstly, use FineReport for data connection.

Visualization 52

Visualization Reporting Software Business Intelligence 52

Jet Global

AUGUST 4, 2023

Operational & Financial Planning in Power BI One tool that I feel can take Power BI to the next level is Power ON as it provides all the benefits of Power BI combined with the ability to do operational and financial planning thanks to its data entry, data-point comment, and write-back capabilities. You can decide for yourself.

Data Analytics 52

Data Analytics Analytics Finance Visualization 52

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 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

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 Data-driven Modeling 64

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 143

Metrics Reporting Analytics Marketing 143

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 156

Metrics Reporting IT Advertising 156

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 149

Visualization IT Strategy Key Performance Indicator 149

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 Machine Learning Data-driven 66

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 Data-driven 52

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

Timo Elliott

NOVEMBER 14, 2024

Many organizations lack the data or expertise to accurately assess their environmental impact. According to IDC, 37% of companies report insufficient data for ESG (Environmental, Social, and Governance) reporting, and 41% lack internal sustainability expertise. Not all greenwashing is malicious. What Should Companies Do?

Advertising 59

Advertising Measurement Cost-Benefit Metrics 59

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 358

Uncertainty Testing Risk Reporting 358