Insight

MARCH 12, 2020

In 2013, Robert Galbraith?—?an In this article, I will discuss the construction of the AIgent, from data collection to model assembly. Data Collection The AIgent leverages book synopses and book metadata. The latter is any type of external data that has been attached to a book? an aspiring author?—?finished

Modeling 59

Modeling Metadata Publishing Sales 59

Occam's Razor

OCTOBER 14, 2014

Here's the complete year 2013… While the numbers for individual month are different, you can see that October spiked and then things came down to below Sept performance by December. Just skip the we can give you data and benchmarks on performance bits. If you do use them, please consider the data collection methodology.

Key Performance Indicator 133

Key Performance Indicator Metrics Reporting Marketing 133

IBM Big Data Hub

JANUARY 10, 2023

This provides a cost-effective data analysis solution for clients that have frequently accessed data that they wish to combine with older, less frequently accessed data. With this flight delay comparison, the period from 2013–2018 had fewer flight delays for each month than the flight delay data for the period from 2003–2012.

Data Warehouse 52

Data Warehouse Cost-Benefit Statistics Data Processing 52

Occam's Razor

APRIL 15, 2019

They attack the data. They bring up that one time in 2013 when your analysis missed an important assumption. In the face of factual negative data related to their decisions, they will counter-attack. The Curious One demonstrates, well, curiosity about what biases might be in the data or what assumptions you might have made.

Measurement 79

Measurement Strategy Data Processing Uncertainty 79

AWS Big Data

FEBRUARY 1, 2024

Common Crawl data The Common Crawl raw dataset includes three types of data files: raw webpage data (WARC), metadata (WAT), and text extraction (WET). Data collected after 2013 is stored in WARC format and includes corresponding metadata (WAT) and text extraction data (WET).

Modeling 93

Modeling Metadata Data Processing Unstructured Data 93

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. In the quest for that last important bit, I am insanely obsessive about 1. simplification and 2. pressing the right emotional buttons.

Visualization 148

Visualization IT Strategy Key Performance Indicator 148

Occam's Razor

FEBRUARY 25, 2014

There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and Data Analysis. Finally, this is picky, but why is most of the x-axis yearly and then suddenly just until Q2, 2013? Surprisingly sloppy from McKinsey, right?

Visualization 144

Visualization Key Performance Indicator Dashboards Metrics 144

Alation

JULY 7, 2022

Two data-driven careers. In 2013 I joined American Family Insurance as a metadata analyst. With this program, Alation teaches students the language of data in theory and in practice, so when they graduate and go on to work in data-centric companies, they’re prepared to translate knowledge into action.

Metadata 52

Metadata Data-driven Insurance Statistics 52

DataKitchen

JUNE 24, 2021

Chapin shared that even though GE had embraced agile practices since 2013, the company still struggled with massive amounts of legacy systems. GE formed its Digital League to create a data culture. Automate the data collection and cleansing process. Success Requires Focus on Business Outcomes, Benchmarking.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

Occam's Razor

APRIL 29, 2013

Some absolutely did not use data to do their digital jobs. A benchmark for you: In 2013 if 30% of your time, Ms./Mr. Marketer, is not spent with data you''ll fail to achieve professional success.]. Many used some data, but they unfortunately used silly data strategies/metrics. You'll get fired.

Marketing 166

Marketing Metrics Advertising Measurement 166

Jet Global

MAY 1, 2023

In the past, data visualizations were a powerful way to differentiate a software application. Companies like Tableau (which raised over $250 million when it had its IPO in 2013) demonstrated an unmet need in the market. Let’s just give our customers access to the data. Their dashboards were visually stunning.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52