Sentences with phrase «using predictive analysis»

«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.
-- 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.
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