Data acquisition and performance evaluation

Data acquisition & data evaluation. Basis for Industry 4.0. Digital processes generate huge data, alarms, events, performance DetailsLoopAnalyzer. Plant

I n this paper, we report various parameters associated with the data acquisition process which affect the quality of the acquired images. were used for

Abstract

Data valuation has been given increasing thought for the past 20 years.
The importance of data as an asset in both the private and public sectors has systematically increased, and organizations are striving to treat it as such.
However, this remains a challenge, as data is an intangible asset.
Today, there is no standard to measure the value of dat.

Acknowledgments

We thank Dr.
Nitin Naik and Dr.
Kris Rosjford for useful insights and discussions.
We thank the MITRE Corporation Innovation Program (MIP) for funding this research.

Building and Scoring A Dimensional Data valuation Model

For the second part of our research, we focused on building a dimensional data valuation model that expands on prior models.6 We designed a survey of about 30 questions around an extended set of dimensions, both intrinsic to data (e.g., data quality) and contextual (e.g., data usage).
For data, we leveraged three types of data sets: COVID-19 data, .

Conclusions and Future Work

The first part of this article examines research into data valuation.
We found many examples and were able to construct a framework that grouped the three approaches into the following models: 1. market-based models, which calculate data’s value in terms of cost and revenue/profit 2. economic models, which estimate data’s value in terms of economic.

Data valuation Framework

2.1.
Models for Data Valuation

Disclosure Statement

The views, opinions, and/or findings contained in this report are those of The MITRE Corporation and should not be construed as an official government position, policy, or decision, unless designated by other documentation.
Approved for Public Release.
Distribution Unlimited.
Public Release Case Number: 21-3464.

How mature are data management practices across DoD acquisition organizations?

However, the maturity of these practices varies across DoD acquisition organizations.
One challenge in data management across the DoD is ensuring common data definitions to allow cross- organizational data analysis.
Although some business practices provide standardization, other domains need more-active governance and management.

Introduction

As longtime practitioners and teachers of data management, we are struck by the many references to ‘data as an asset.’ The implication is that data should be valued similarly to traditional assets.
When a market exists, discounted value of future utility can be measured in monetary terms.
However, when no market exists, the value of data must be ca.

Media Summary

We often hear that data is becoming the new currency across our economy (e.g., Keller, 2020).
It is a clear indication that we, as a society, want a way to value data in concrete terms.
We are not there yet.
Today, business gambles on the future value of data by acquiring competitors for huge amounts of money based on things like “eyeballs.” Govern.

References

Acil Allen Consulting. (2015, December).
The value of earth observations from space to Australia.
Spatial Information Systems Research Ltd. https://www.crcsi.com.au/assets/Program-2/The-Value-of-Earth-Observations-from-Space-to-Australia-ACIL-Allen-FINAL-20151207.pdf Adams, E., & Gounardes, A. (2020, June 1).
A tax on data could fix New York’s budg.

Should acquisition personnel become experts in data analytics?

These applied and general-purpose courses should increase the ability of the acquisition workforce to conduct simple analysis while becoming smart consumers of analysis conducted by specialists.
Still, it is unreasonable to expect or want most acquisition personnel to become experts in data analytics.

What are the goals of acquisition data analysis?

Thus, a more achievable goal may be to develop an acquisition workforce that possesses the necessary range of skills and expertise to conduct, understand, and apply the findings of acquisition data analysis while growing a cadre of application specialists.

What's new in OSD's Acquisition Visibility environment (DAVE)?

OSD has moved to the Defense Acquisition Visibility Environment (DAVE) for acquisition program information, which contains a recently added "analytic layer" for data scientists to directly apply statistical and other analytic functions and visualization to the acquisition data in the system.

In general, past performance refers to how something has performed in the past, for example how an athlete, a business, an investment portfolio, an individual stock, a sports team or a race horse has performed.
The term past performance is used more specifically in relation to government procurement, horse racing and mutual fund disclosure documents.

Photovoltaic system performance is a function of the climatic conditions, the equipment used and the system configuration.
PV performance can be measured as the ratio of actual solar PV system output vs expected values, the measurement being essential for proper solar PV facility's operation and maintenance.
The primary energy input is the global light irradiance in the plane of the solar arrays, and this in turn is a combination of the direct and the diffuse radiation.