TDAN

AUGUST 17, 2021

If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware that the amount of data collected can grow exponentially over time.

Predictive Modeling 115

Predictive Modeling Modeling Data mining Big Data 115

TDAN

MARCH 15, 2022

In the last installment of this column, we looked at the myriad of identities that are often under-accounted for or missed entirely in research and data collection.

Data Collection 98

Data Collection IT Data Strategy Business Intelligence 98

Alation

JULY 15, 2022

I raised the Cambridge Analytica Scandal and pointed out how it is often only when these stories hit the news that people question the ethics behind how companies are using data. Clearly, using private Facebook data collected in a nefarious manner to sway political elections is not ethical. What’s your data strategy?

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

TDAN

APRIL 30, 2019

Data collection is getting more dispersed and voluminous every day. Enterprises create and collect information from a variety of data sources which may include websites, mobile devices, customers, vendors, and other numerous sources.

Management 69

Management Data Collection Enterprise Metadata 69

TDAN

DECEMBER 6, 2022

Small business owners often overlook data collection. However, if you run your own small business, ethically collecting consumer data is key to increasing your operational efficiency and creating sustainable growth. You don’t have to be a data enthusiast to collect and interpret consumer data either.

Data Collection 52

Data Collection Data Strategy Big Data Business Intelligence 52

TDAN

MAY 18, 2021

This is made possible with appropriate data training of AI to multiple language translation by minimizing the complexity of the data collection and […]. Aside from being a type of scalability, it also adds various advantages to modern artificial intelligence (AI) technology.

Machine Learning 52

Machine Learning Data Collection Technology IT 52

TDAN

DECEMBER 15, 2020

It’s reasonable today to say that a business doesn’t have much of a chance at success without a strong data operation. On the other hand, however, it’s a mistake to assume that this means every business needs to spend heavily on advanced technology relating to data collection. Rather, it comes down to good management.

Management 52

Management Data Collection Technology Data Quality 52

TDAN

MAY 17, 2022

As a business, obtaining data is not the only crucial part of data collection; protecting such information is just as important. When your users or customers trust you with their details, it is your responsibility to prevent them from getting into the wrong hands.

Data Collection 52

Data Collection IT Data Strategy Strategy 52

TDAN

JULY 4, 2023

The O*NET Data Collection Program, which is sponsored by the U.S. Department of Labor, is seeking the input of expert Data Warehousing Specialists. You have the opportunity to participate […]

Data Collection 52

Data Collection Data Architecture Data Warehouse Data Strategy 52

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. AI can also empower trial managers and executives with the data to make strategic decisions.

Optimization 55

Optimization Forecasting Data-driven Statistics 55

TDAN

MARCH 3, 2020

In 2018, it was discovered that Cambridge Analytica had harvested the data of at least 87 million Facebook users without their knowledge after obtaining it via a few thousand accounts that had used a quiz app. There is no getting away from how incredibly valuable our data is. In 2018, the Global Data Mining Tools […].

Data mining 52

Data mining IT Data Governance Data Strategy 52

Smart Data Collective

MAY 27, 2021

With online data acquisition on the rise, we are treading into mostly uncharted waters. Industry-wide regulations in web scraping and other forms of automated data collection are practically non-existent and we probably shouldn’t expect any in the near future. Therefore, everyone might as well follow GDPR regulations.

Data Strategy 138

Data Strategy Strategy Data Collection Big Data 138

TDAN

OCTOBER 1, 2019

IoT has a lot more to offer than merely establishing connections between systems and devices. We are in the digital age that Hollywood once fancied with sophisticated connected devices and technologies surfacing day after day. IoT is paving ways for new services and products, which were just a figment of our imagination up until a […].

IoT 40

IoT Internet of Things Technology Data Architecture 40

Occam's Razor

APRIL 29, 2013

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. And silly simply because as soon as the strategy/success metric being obsessed about was mentioned, it was clear they would fail. You'll get fired.

Marketing 166

Marketing Metrics Advertising Measurement 166

Domino Data Lab

OCTOBER 9, 2019

Paco Nathan’s latest article covers data practices from the National Oceanic and Atmospheric Administration (NOAA) Environment Data Management (EDM) workshop as well as updates from the AI Conference. Monica Youngman, director of data stewardship—check out her slides for the “Data Archiving at NOAA” keynote.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

Alation

JULY 6, 2021

But first, they need to understand the top challenges to data governance, unique to their organization. Source: Gartner : Adaptive Data and Analytics Governance to Achieve Digital Business Success. As data collection and volume surges, so too does the need for data strategy. Why Do Data Silos Happen?

Data Governance 52

Data Governance Metadata Data Quality Risk 52

IBM Big Data Hub

AUGUST 4, 2023

When workers get their hands on the right data, it not only gives them what they need to solve problems, but also prompts them to ask, “What else can I do with data?” ” through a truly data literate organization. What is data democratization? What are your data and AI objectives?

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59