CDW Research Hub

NOVEMBER 29, 2021

By understanding these layers early in the IoT Workshop process, your team will have a better chance of adopting an IoT solution that not only sticks, but benefits your business. Data modeling: Modeling is necessary to normalize this data across all platforms and sensor groups. So, what are the six layers of IoT?

IoT 89

IoT Cost-Benefit Internet of Things ROI 89

datapine

FEBRUARY 22, 2022

Before going all-in with data collection, cleaning, and analysis, it is important to consider the topics of security, privacy, and most importantly, compliance. Businesses deal with massive amounts of data from their users that can be sensitive and needs to be protected. Clean data in, clean analytics out.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Andrew White

JANUARY 9, 2022

Could you precise to which complementary research you mentioned when you talked about a data governance survey ? – Here is the one I mentioned during the webinar: The State of Data and Analytics Governance Is Worse Than You Think. – Data (and analytics) governance remains a challenge.

Analytics 64

Analytics Measurement Modeling Data-driven 64