Data Quality Measurement ROI Uncertainty 
O'Reilly on Data
MARCH 31, 2020
Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. There are strategies for dealing with all of this uncertainty–starting with the proverb from the early days of Agile: “ do the simplest thing that could possibly work.”
CIO Business Intelligence
JANUARY 4, 2023
Though composable infrastructure may remove the restrictions of traditional architectures, there’s debate [3] about whether it can scale and whether the ROI would be reached by increased flexibility and utilization. Ready to evolve your analytics strategy or improve your data quality? Just starting out with analytics?
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IBM Big Data Hub
SEPTEMBER 11, 2023
Government executives face several uncertainties as they embark on their journeys of modernization. How to quantify the impact : Quantify, articulate and measure the expected long-term benefit of a capability to justify the investment. Through the analysis of collected data, potential opportunities for improvement are uncovered.
datapine
MAY 31, 2022
That’s why it is important to implement a secure BI cloud tool that can leverage proper security measures. In both cases, the return on investment (ROI) is healthy. This has increased the difficulty for IT to provide the governance, compliance, risks, and data quality management required. Cost management and containment.
Domino Data Lab
JUNE 23, 2019
These measurement-obsessed companies have an advantage when it comes to AI. Google, Facebook, other leaders, they really have set up a culture of extreme measurement where every part of their product experience is instrumented to optimize clicks and drive user engagement. To prioritize, how do we do this?
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