Sentences with phrase «in analytical data»

We include both African American and non-Hispanic Caucasian males in our analytical data set (we include a dichotomous dummy variable controlling for race).

Well you can, but to do so, the personas you develop need to be grounded in analytical data, not based on hunches.

Not exact matches

Data from hedge fund analytical tool Kensho that examined patterns coinciding with U.S. military actions in the Middle East dating back to the 1990s show that in the day, week and month after a Mideast strike, oil has underperformed other assets, and the energy sector has been one of the worst in the S&P 500.

In addition to connecting interoperable devices, companies must integrate and customize the analytical software that can derive business insight, e.g. prediction and optimization, from real - time streams of data from sensors.

With a background as an investment banker rather than as an economist rooted in a particular analytical framework, Powell will lead «a more data - driven Fed, which at the current juncture means a more dovish Fed,» until and if inflation recovers, said Robin Brooks, chief economist at the Institute of International Finance.

«In the compliance space, there are lots of competitors who have similar risk - related data, but it's not put through any analytical engine,» says Beber.

Arcview Market Research has positioned itself as among the foremost companies in interpreting analytical data on the sale and distribution of cannabis.

We're proud to have been recognized with multiple awards for our analytical and data - driven solutions and repeatedly ranked as one of Fortune's 100 Best Companies to Work For and a Best Workplace in the United Kingdom and France.

The goal, as The Guardian reported, was to combine social media's reach with big data analytical tools to create psychographic profiles that could then be manipulated in what Bannon and Cambridge Analytica investor Robert Mercer allegedly referred to as a military - style psychological operations campaign — targeting U.S. voters.

Jackie has worked for governmental, academic, advocacy and commercial organizations in delivering ESG - related research and analytical data solutions and is a graduate of Rhodes University, Said Business School (University of Oxford), a Rhodes Scholar, and former Junior Research Fellow at the ESRC Centre for Business Research, University of Cambridge.

Simon Chong is the co-founder and Managing Partner at Georgian Partners, a growth equity fund that invests in enterprise SaaS companies leveraging data for analytical insight.

Popular use cases include BI and Data Science on Modern Data, like Elasticsearch, S3, Hadoop and MongoDB; Data Acceleration, making even the largest datasets interactive in speed; Self - Service Data, making data consumers more independent and less reliant on IT; and Data Lineage, tracking the full lineage of data through all analytical jobs across tools and usData Science on Modern Data, like Elasticsearch, S3, Hadoop and MongoDB; Data Acceleration, making even the largest datasets interactive in speed; Self - Service Data, making data consumers more independent and less reliant on IT; and Data Lineage, tracking the full lineage of data through all analytical jobs across tools and usData, like Elasticsearch, S3, Hadoop and MongoDB; Data Acceleration, making even the largest datasets interactive in speed; Self - Service Data, making data consumers more independent and less reliant on IT; and Data Lineage, tracking the full lineage of data through all analytical jobs across tools and usData Acceleration, making even the largest datasets interactive in speed; Self - Service Data, making data consumers more independent and less reliant on IT; and Data Lineage, tracking the full lineage of data through all analytical jobs across tools and usData, making data consumers more independent and less reliant on IT; and Data Lineage, tracking the full lineage of data through all analytical jobs across tools and usdata consumers more independent and less reliant on IT; and Data Lineage, tracking the full lineage of data through all analytical jobs across tools and usData Lineage, tracking the full lineage of data through all analytical jobs across tools and usdata through all analytical jobs across tools and users.

The organization has indicated plans to develop online analytical processing (OLAP) to support the analysis of multidimensional data, as well as interest in the implementation of business intelligence data warehousing solutions to support the data integration from multiple sources.

The problem that has always plagued BIG data is that it is an analytical view of past results — it is rooted in a past - to - present orientation.

Because my husband totally responds better to analytical data in decision making.

The revelations pulled Palantir — co-founded by the wealthy libertarian Peter Thiel — into the furor surrounding Cambridge, which improperly obtained Facebook data to build analytical tools it deployed on behalf of Donald J. Trump and other Republican candidates in 2016.

Many election studies are now interested in analysing social media communication data as one part of their analytical repertoire, and add resulting findings to their increasingly complex election study data base.

If you have a PhD in Astrophysics, or a PhD in anything analytical, mathematical or engineering related, it's possible to find a job in data science.

«My fellowship experience made me better at connecting with people; working with complex systems; synthesizing details, data and diverse views; refining analytical structures; and thinking strategically and creatively about forces and interactions in related to natural resource issues,» he said.

This book focuses on all the analytical techniques used in data science, mostly related to machine learning.

Schopf, 70, stands by his fossils as «the most thoroughly studied — by the most workers, using the largest array of analytical techniques that have provided the greatest assemblage of relevant data in the history of science.»

For the past few years, tech companies and academic researchers have been trying to build so - called neuromorphic computer architectures — chips that mimic the human brain's ability to be both analytical and intuitive in order to deliver context and meaning to large amounts of data.

Gould reanalysed Morton's data, and famously argued in Science and in his prize - winning bestseller The Mismeasure of Man, that Morton had manipulated his samples, made analytical errors, and mismeasured cranial capacities as a consequence of a racist bias.

«It would be stupendous to see the data out of Moderna,» says Paul Agris, an analytical biochemist at the State University of New York in Albany's RNA Institute who has spent decades studying the consequences of modifying RNA nucleosides.

They continue to generally undervalue shared data sets, methods, and analytical tools — despite the fact that such work is «wickedly important» to the scientific enterprise, as Tom Daniel, former chairman of the Department of Biology at the University of Washington in Seattle, puts it in an e-mail to Science Careers.

Most of the analytical software being used requires knowledge of computer programming and researchers have therefore been dependent on specialists in order to decode and analyze their data.

The advice that follows will help you in your job search, but this analytical «data gathering» approach pales in comparison to the tried and true, ear - to - the - phone method of asking your contacts who they know.

The available sociological and historical data show that what we believe in is mainly based on social and educational factors, and not on cognitive styles, such as intuitive / analytical thinking.

Data and analytical tools were provided by Adam Pellegrini, a Princeton graduate student of ecology and evolutionary biology; Lawren Sack and Megan Bartlett, a professor and graduate student, respectively, of ecology and evolutionary biology at the University of California - Los Angeles; Brendan Choat, a senior lecturer at the Hawkesbury Institute for the Environment at Western Sydney University in Australia and Steven Jansen, professor of botany at Ulm University in Germany.

John Fleming and Mike Sargent of Britain's Laboratory of the Government Chemist, in Teddington, to the west of London, are adamant that we should care because the consequences of accepting analytical data uncritically could cost lives, money and time.

Extrapolating from an earlier US study, Fleming and Sargent estimate that of the billion or so analytical measurements each year in Britain, between 10 and 20 per cent are «not fit for purpose», meaning that they are too crude, too inaccurate or too expensive to produce sensible data on which to base a sound decision.

Using social media and big - data analytical tools opens up a new paradigm in the way we study human behavior.»

«We're now in an age where we have big - data analytical tools that can extract information to tell us something indirectly about an individual's cognitive life, and to predict what an individual might do in the future.»

A June 2011 McKinsey Global Institute report predicts that over the next 7 years, in the United States alone, there will be «a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts to analyze big data and make decisions based on their findings.»

But given the rush of numbers, the analytical approach of physicists and economists — on Wall Street and now in war — will inevitably keep spreading, Clauset says, «We are entering an era in which social sciences have access to a wealth of data beyond their wildest dreams.»

We used an analytical approach that calculated Kendall's τ, a nonparametric, robust correlation statistic for each gene in our data set.

The project may involve the following topics: — Interaction of the solar wind with magnetised and unmagnetised planets — Space weather forecasts — Numerical (HPC) and analytical modelling of MHD wave processes and jets in solar and astrophysical plasma — MHD wave observations and solar magneto - seismology — Application of advanced data analysis to solar system science — Physics of collisionless shocks (including planetary and interplanetary shocks)-- Analysis of multi-point measurements made by space missions, e.g Cluster (ESA), THEMIS (NASA), MMS (NASA)

The Knowledge Portal is intended to be secure, compliant with pertinent ethical regulations, accessible to a wide user base, inviting to researchers who may want to contribute data and participate in analyses, organic in the continuous incorporation of scientific advances, modular in its analytical capabilities and user interfaces, automated, rigorous in the quality of data aggregation and returned results, versatile, and sustainable.

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.

Furthermore, her research on evaluating oversight through a multi-criteria analytical approach indicates that the US system has strengths in its use of natural science data, but is weak in transparency in operation, inclusivity of a broad range of stakeholders and perspectives, and capacity of regulatory agencies to dealing with changing environments and technologies.

To generate a more complete, fine - grained view of genetic variation in Plasmodium parasites, we need solid reference genomes, good baseline data and reliable analytical methods.

These include: 1) finding and describing new fossils in Precambrian strata, 2) using analytical tools to examine those fossils in order to determine taxonomic affinity, taphonomy, functional morphology, and paleoecology, 3) using modern analogs to determine phylogenetic relationships and physiology of early eukaryotes and animals, and 4) combining multiple sources of data to create a timeline of biotic and abiotic events in the Precambrian.

To enhance the analytical power of the collected information, facilitate data mining and provide public access of the consortium results to the scientific community, the expression data have been organized in an open, interactive database (http://biit.cs.ut.ee/fungenes/) with a number of original features and tools (Figure 1).

Gould reexamined Morton's data on cranial capacity variation in modern human populations and concluded that Morton had selectively reported data (see Box 1), manipulated sample compositions (see Box 2), made analytical errors, and mismeasured skulls in order to support his a priori views on intelligence differences between human groups.

The Bayesian approach delivers insights, which are not always readily available in the traditionally used meta - analytical research and reveals the likelihood of a certain outcome in regards to the subject matter, a sort of summary that makes it easier for doctors to understand mass amounts of data.

I suppose it's the biggest irony that, just like a man who saw the most shocking of sexual behavior as little more than data for study, so too does Condon see one of the more controversial figures in 20th century America in a similar fashion — stripped away of all emotion, showing just incidents and behavior for our analytical perusal.

Tableau believes that data analytics tools are a critical partner in both school and university learning processes, and offers software to help students and teachers develop not only data skills, but a more data - driven, analytical and creative mind - set which is so needed in today's workplace.

As long as research data is obtained through hypotheses posed in testable terms and nested in a body of established theory; as long as the data collection and analytical methods permit direct investigation of the question; and as long as the study results are open to replication and professional scrutiny, we will have a professional body of research on which to base reform efforts.

When it comes to educating the workforce of the future about data skills, today's advanced technology goes hand in hand with a new mind set: an analytical way of thinking.

In some cases the data provided by the standard web analytical tools like Google Analytics may be of use, but they do not provide all the information required by the specifics of educational publishing.