Sentences with phrase «data quality processes»

Not exact matches

The platform will take order, production and quality data from Airbus and Premium Aerotec and analyse the data with a view to keeping the manufacturing process stable and providing transparency in the supply chain.

To determine how networking affects the quality of the cofounders that entrepreneurs find, the researchers used data from the application process and weekly 360 reviews to generate measures of entrepreneurs» underlying talent and interpersonal ability.

The advent of account - based marketing (ABM) and account - based sales development (ABSD) introduced a need for complete, better - quality data early in the process.

The system processes 500,000,000 data points each day on indoor environmental quality, including comfort measures of temperature, humidity, noise, and light, and air pollutants like carbon dioxide and particulate matter.

Marketing automation allows you to nurture marketing qualified leads until they become sales qualified, deliver better quality leads to the sales staff who's biggest gripe has always been about the quality of leads marketing provides to them, accelerate the sales process and gain invaluable data and analytics to influence future campaigns.

Our long - term partnership is built on a foundation of proactive liquidity management, facilitated by comprehensive, high quality data — a core input into the decision making process around price delivery.

To help medical billing companies scale and grow their business by performing data entry and revenue cycle management tasks through clear cut processes, open communication, good quality work, meeting / exceeding client expectations AND excellent client relationship.

Our team of finance and real estate experts underwrites each loan using advanced algorithms, big data analytics and manual processes to ensure PeerStreet surfaces high - quality investments.

The universe is 13.7 billion years old (cosmology: best estimate based on available data)- nothing to do with Atheism The earth is 4.5 billion years old (cosmology: best estimate based on available data)- nothing to do with Atheism Life emerged from non-life (Biogenesis theory... cause and process unknown)- nothing to do with Atheism Life spread and diversified through evolution (best available explanation)- nothing to do with Atheism Man evolved from common ape ancestor (evolution science)- nothing to do with Atheism Consciousness is an emergent property of the brain (neuroscience)- nothing to do with Atheism Emotions, memories and intelligence are functions of the brain (neuroscience)- nothing to do with Atheism Morals are emergent qualities of social animals (natural science)- nothing to do with Atheism

And when this consciousness does arise it tends to light up the later products of this constructive process most clearly, such as sensory data, which are «secondary qualities,» being produced by experience more than given to it.

To achieve this, our food microbiology experts began by collating significant quantities of the company's internal data on formulation history, processes, raw materials, microbial quality tests and environmental monitoring.

Improve quality and IQ processes, reduce downtime, and ensure data security.

For intelligent and networked data processing, at Interpack, Minebea Intec will be presenting a new software release for statistical process controls: SPC@Enterprise 3.0 converts all measurement data into useful information, even in the areas of foreign body detection and dynamic checkweighing, which help to ensure product quality, food safety and productivity.

This allows for constant monitoring of all conformity relevant data and ensures quality assurance processes are documented in a more streamlined, accessible and efficient way.

We also thank the members of the MANA Division of Research who created the system, continually improved it over the years, and have put quality assurance processes in place to make sure the data are sound.

The quality of the data shared by the department was branded «poor» by the committee at every stage of the process - tender, transition and delivery.

Restricting access to data has the potential to impede scientific freedom and discourage the responsible conduct of science by, for example, obscuring data quality and the peer review process.

Data withholding potentially limits this fundamental quality control process when authors refuse to share unique resources (such as Montgomery's Abc1 antibody) necessary to confirm scientific claims.

We are responsible for getting projects through the UNFCCC verification process — dealing with third - party auditors, responding to questions from the UNFCCC, making sure the sites are prepared for audits and that the quality of the monitoring data is high.

For example, reporting the cost of a chart - abstracted measure (eg, several Hospital Inpatient Quality Reporting Program measures) might encourage developers to explore structured data or natural language processing.

Given that collecting, processing, analyzing, and reporting quality data are costly in time and resources2 — resources that are often taken from direct patient care when these activities involve physicians and other clinicians — there has been an increasing call to rein in the proliferation of measures by identifying a small set of high - priority measures.

They're concerned that candid discussions about the quality of their data and the deliberative process used to analyze their data might be taken out of context.

The MPEG audio codecs xHE - AAC and HE - AAC process data intelligently, reducing data volumes drastically while retaining quality levels.

At issue are the Supervisory Control and Data Acquisition Systems (SCADAs) which, at a water plant, control processes like water intake, purification, quality control and pumping to homes.

«This new finding is of paramount importance to unlocking the multitude of processes behind particle behavior in the belts,» says Barry Mauk, project scientist for the Van Allen Probes at the Johns Hopkins Applied Physics Laboratory in Laurel, Md. «To have one of the primary science objectives of the mission met within just over a year of launch is a testament to the quality and quantity of the data the instruments on the probes are gathering, and to the teams analyzing them.»

To process the data and check its quality, astronomers, along with technical specialists from ESO and the European ALMA Regional Centre (ARC) network, gathered at the Onsala Space Observatory in Sweden, for a «Band 5 Busy Week» hosted by the Nordic ARC node [3].

Next, the Fraunhofer researchers want to use real - time analysis of process data to ensure that the required quality is achieved and set up an automatic alarm system for when deviations arise.

Besides collecting, standardizing, indexing, organizing and summarizing all neuroscience - related data, the project would develop software for finding obscure correlations among a myriad of neuroscience terms, concepts and results, which would likely speed the translational process to improvements in quality of life.

«Our studies show how data can be used to optimize the whole manufacturing process — from simulating the process, making molds and coating tools to shaping parts and quality testing the finished optics.»

The associated operations to these processes require high quality data that is not always easy to access experimentally or via equations of state.

T2DK creates the infrastructure to support the data, instantiates automatic quality control filters for data processing, and develops the analytical modules that will carry out customized analyses in situ.

hPSCreg provides comprehensive information on existing hPSC lines, their ethical procurement, derivation process, genetic and expression data and other molecular or biological characteristics, use and quality of the line.

A central theme of those processes will be the use of flexible, automated, and closed process technologies such as GE's cell - expansion systems and Xcellerex bioreactors to produce new technologies that can manage data collection and management, quality control and analysis, raw materials, and cost reduction.

The high - quality data captured by SPHERE will help astronomers shed more light on the various processes involved in the formation of planets.

Genome sequencing of the TRAC clinical samples has now been completed, generating terabytes of data that were processed by the sequence - analysis pipeline team led by Jim Stalker, to produce quality - controlled information about many thousands of variants for each sample.

This document also details the process of producing a mask that will update data quality information to inform users where the trail traverses the image and properly account for the affected pixels.

This digital highway, to be operational in 2014, will not only transfer the enormous quantity of data that ALMA will produce when fully built, it will also allow for heightened quality in the level of communication between those operating the observatory from its remote and hostile region in the desert of Atacama and those processing the data at ALMA headquarters in Santiago; as well as the scientific community throughout the world.

A current research focus is the development of clinical - quality applications for processing massive data sets spanning millions of individuals across collaborating organizations, eventually encompassing exabytes of data.

The cornerstone of our quality control process is our laboratory results analysis, which uses an advanced statistical logic program to verify lab results against current and historical data.

We need to value this data in three different ways: a) data to get at quality / integrity of the learning; b) data to inform the student's record and future learning; and c) data that helps us improve the learning process, not unlike the research value of large medical data sets.

At Bill Quay Primary School, the technology allows people to upload their own self - assessment contributions, saving time and improving access to information such as Ofsted reports, policy documents, quality assurance processes and guidelines, minutes of meetings, school performance data and other documentation.

The PTLC is an ongoing process designed to work systemically to improve the quality of professional development; the use of data to inform instructional and programmatic decisions; the alignment of curriculum, instruction, and assessment to standards; the monitoring of student learning; and leadership support for continuous school improvement.

Levy describes the processes and criteria Expeditionary Learning schools have developed to collect data on students» achievement in three areas: mastery of knowledge and skills; students» character and engagement in their learning; and whether students are producing high - quality work.

Understanding best practices regarding the ways to structure assessments, methods to identify valid and reliable assessments, and how to interpret and react to data are essential elements of a high - quality assessment process.

Additionally, Erica oversees a significant part of our new employee onboarding process and of our internal data quality efforts.

In our experience with the process of supporting quality teaching through professional development, three major elements have facilitated the shifts we see in teachers» thinking and practice as evidenced in teacher goals, classroom observations and other data sources:

The slides outline how they are refining a tool and process for gathering data on quality and establishing a citywide baseline measures of excellence.

Track evidence and collect data on early childhood classroom quality to support the NAEYC accreditation preparation, application, and maintenance process

Those recommendations include a greater focus on quality choices, simplifying all steps of the school choice process, improving families» access to school quality data, and strengthening the role that interpersonal networks play in supporting families as they choose schools for their children.

Processes for administering high - quality surveys, which included establishing an annual survey calendar, creating accurate sample lists for administered surveys and concluding each survey with a comprehensive analysis of the survey data, were established.