«If you're not
using predictive analysis of some sort in your real estate business, you're missing the boat.»
Using predictive analysis, coaches can also determine how to change players» training schedules.
The portal has been developed
using predictive analysis, machine learning and artificial intelligence.
When purchasing and
using predictive analysis, in - house counsel needs to not condone any practices that may be illegal from a privacy perspective.
Willy Schlacks told me that he sees an even bigger opportunity in more advanced analytics, such as
using predictive analysis to lower maintenance costs, using drones to monitor entire construction sites and aggregating data so that contractors can measure their performance against industry benchmarks.
Not exact matches
For example, Endicia
uses package data and
predictive analysis to guide ecommerce business owners» decisions, ranging from where to plant warehouses to how to improve delivery for the end - consumer through forecasted shipping costs and time in transit.
Predictive markets provide actionable information that people in the consulting, research, and
analysis industries
use to curate targeted insights for making educated decisions.
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Predictive analysis will be applied to Tmall.com transaction data to project order volume, which Cainiao and its deliver partners will
use to allocate resources and respond to demand.
Note that this
analysis is based on a specific period of time, which we're
using for purposes of education rather than for
predictive purposes.
Using big data
analysis as intelligence for monitoring the customer journey and identifying
predictive behavioral indicators at each stage will provide your sales teams a significant advantage.
To assess the robustness of the results of our regression
analysis, we performed covariate adjustment with derived propensity scores to calculate the absolute risk difference (details are provided in the Supplementary Appendix, available with the full text of this article at NEJM.org).14, 15 To calculate the adjusted absolute risk difference, we
used predictive margins and G - computation (i.e., regression - model — based outcome prediction in both exposure settings: planned in - hospital and planned out - of - hospital birth).16, 17 Finally, we conducted post hoc
analyses to assess associations between planned out - of - hospital birth and outcomes (cesarean delivery and a composite of perinatal morbidity and mortality), which were stratified according to parity, maternal age, maternal education, and risk level.
In the new study, Professor Pisani and colleagues
used cutting edge statistical techniques (Posterior
Predictive Analyses) to test whether the evolutionary models routinely
used in phylogenetics can adequately describe the genomic datasets
used to study early animal evolution.
Now we have a valuable tool that, thanks to computer - based statistical
analysis, can be
used to broaden our
predictive capabilities in a very wide range of applicative avenues, from biophysics to biomedicine.»
In
predictive analysis, Lu hopes to
use the system to take in signals with noise, like static from far - off radio stations, and produce a cleaner stream of data.
As ER - α is considered a reliable biomarker in immunohistochemical
analyses and is already
used to guide endocrine treatment it would be a suitable treatment
predictive marker for antiangiogenic therapies.
Using both quantitative and qualitative
analyses, we will evaluate the hypotheses that: a) Classroom teachers can successfully and consistently integrate a CEMS approach in their algebra instruction, b) Students» procedural flexibility, procedural knowledge, and conceptual knowledge for a variety of algebra topics can be reliably assessed and each type of knowledge is positively related and
predictive of one another over time, and c) Integrating a CEMS approach supports better procedural flexibility, conceptual knowledge, and procedural knowledge for a variety of algebra topics (units) than business as usual instruction.
Repeating the
analysis above with these two measures of parent characteristics added to the baseline control vector gives the following
predictive effects for college attendance based on test scores which are somewhat lower than the results above
using the baseline controls.
IADLearning
uses machine learning algorithms and big data
analysis techniques to create content recommendations and to derive
predictive analytics.
Some schools even
use data — driven selection tools such as Paragon K12 that deploy
predictive analysis to select top teachers.
We
used a swap set
analysis that captures both the change in consumer distribution across the FICO ® Score range and the improved
predictive value over the prior version of the score in
use today by the industry (FICO ® Score 5).
Statistical
analysis is conducted
using current and historical credit data to determine what's
predictive of future credit behavior.
Note that this
analysis is based on a specific period of time, which we're
using for purposes of education rather than for
predictive purposes.
Others will perform technical
analysis using charts and graphs of historical prices, trading volume, or other indicators, believing these are
predictive of future price movements.
Statistical
analysis of the
predictive genetic markers of this genetic risk test has been
used to produce a genetic index.
However, its application is primarily targeted at improvement of their internal systems, such as billing and document production, or in
predictive analysis using AI software.
And while in recent years the
use of formal office memoranda has declined somewhat, giving ground to less expensive alternatives, such as informal email memoranda and oral research reports, the underlying, element - focused
predictive analysis lawyers
use to evaluate likely case outcomes has not changed.
Descriptive and
predictive statistical
analyses will be
used.
Sure, judge, lawyer and venue selection will be gamed
using artificial intelligence and
predictive analysis in a Moneyball fashion; they already have.
Predictive analytics is akin to a baseball pitcher
using analysis to determine how an opposing batter performs in certain situations and then deciding what pitch to throw.
Our in - house document collection and
analysis tools, including the
use of technology - assisted review (such as
predictive coding) help to increase efficiencies, find the important documents sooner, and reduce costs.
Use inbound calls, referrals, and cold calling on a
predictive dialer system to identify potential customers; complete a needs
analysis to identify customer needs; provide home and business owners with customized security options; overcome sales objections by addressing customer concerns and questions about security; successfully rework leads to schedule free security review with prospects who had previously declined to purchase our system; work special projects and mentor new team members as needed.
Predictive Analysis can be
used for measuring and anticipating things such as voluntary terminations, absences, resignations, length of employment, and leadership changes.
Looking to join a firm with an aggressive growth plan and Dynamic Marketing Team where I can make an immediate impact with List / Lead Acquisition, Data
Analysis, Direct Mail and E-Mail Campaigns, Call center Architecture
using a
Predictive Dialer optimized for bes...
Chicago, IL About Blog Learn more about
using open source R for big data
analysis,
predictive modeling, data science and visualization more from the staff of Revolution Analytics.
Developed intricate algorithms based on deep - dive statistical
analysis and
predictive data modeling that were
used to deepen relationships, strengthen longevity and personalize interactions with customers.
Predictive Analytics Software Statistics for Windows, V. 18 (SPSS) was
used for data processing and statistical
analyses.
Outcome
analyses used SPSS (IBM SPSS Statistics, IBM Corporation;
Predictive Analytics Software [PASW] 18) and HLM - 6.35 For child and parent outcomes, a piecewise growth curve modeling approach36 with an intercept representing baseline levels of functioning and 2 linear slope factors representing change over time was estimated for each family at the model's first level.
For sensitivity
analysis, we performed multiple imputation
using predictive mean matching70 and results are reported for the primary outcomes and SF - 12.
Further
analyses using the five subscales of family functioning demonstrated that family harmony and parental concern were significantly
predictive of delinquency, and harmony, parental concern and control significantly moderated the risk of affiliating with deviant peers.
The study involved conducting multilevel factor
analyses on large multistate data sets and
using the findings from those
analyses to assess the
predictive validity of the SAI in regard to student academic achievement.
In order to capture the «pure»
predictive validity of the personality dimensions on substance
use, prospective
analyses in a never -
using group of early adolescents is warranted.
The confirmatory and
predictive path
analyses were performed
using the EQS structural equations program software [38].
Using a time - sequential method of
analysis, results indicated that marital conflict was indirectly
predictive of physical health 2 years later, with depressive symptoms fully mediating this relationship for husbands and wives.
This study
used a regression
analysis to explore the
predictive effect of distress on the coping strategies IVF patients
use.
For the
predictive value
analysis of the complete set of risk factors, least absolute shrinkage and selection operator (LASSO) penalised logistic regression in R was
used,
using the glmnet - package [51].
Using our proprietary Residential Capitalization rates, Equilibrium Home Prices and
predictive market
analysis, we equip users with both a long - term and short - term perspective on home prices.