article thumbnail

Human-centered design and data-driven insights elevate precision in government IT modernization

IBM Big Data Hub

The team implemented a phased approach to the human-centered design assessment, which led to a data-driven roadmap of recommended technological enhancements. Each recommendation was grounded in the user research conducted and validated to render significant return on investment (ROI) to the business mission of AZDCS.

article thumbnail

The 6 Layers of an IoT Solution

CDW Research Hub

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
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. data collection”) show the “process” steps that a team performs, while the boxes (e.g.,

article thumbnail

The Gartner 2022 Leadership Vision for Data and Analytics Leaders Questions and Answers

Andrew White

The framework is tool that you can use, in a workshop setting if you will, to explore and unpack with business roles the decision and outcome they are trying to improve. We have various tools, best practices and techniques to help explore the ROI for a range of D&A investments. How will this framework handle those cases ?

article thumbnail

Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

But the rewards outperform by far its costs, and it is well known that business intelligence ROI is real even if it is sometimes hard to quantify. Before going all-in with data collection, cleaning, and analysis, it is important to consider the topics of security, privacy, and most importantly, compliance.