Sentences with phrase «used analytics models»

Not exact matches

It's interesting to note that other industries that have a similar view of the customer lifecycle as the AARRR model have used predictive analytics to good effect.

The gaming company Zynga split its analytics team into two to become more proactive about analytics; while one team does the conventional reporting, the other «tests hypotheses and creates models using statistical and analytical methods.»

«Most reputable data firms are using proven predictive modeling techniques on an individual level, whereas Cambridge was guilty of using fancy fake science terms on unwitting politicians who do not understand how data analytics work.

What data points is your analytics team using to create predictive models on what constitutes success and what does not.

Using cutting - edge blockchain and artificial - intelligence principles to traditional B2C and B2B marketplace models, Crowdz automates product search & sourcing, accelerates commercial transactions, and streamlines predictive - data analytics in ways never before possible.

«The main problem with entropy uncertainty models is that they are used to justify the notion that there's room to push agendas to the limit line of the outer edge of the envelope that supports the policy maker's cognitive bias,» opines Dennis Santiago, Senior Managing Director for Compliance and Analytics at Total Bank Solutions.

Data Science Leveraging data science and predictive analytics expertise, we built 20 custom data models that could be used to forecast voter behavior.

G3's team specializes in oxygen management in packaging components, including cork, cap, glass, box, single - serve, and PET keg, process modeling and optimization using advanced analytics, and provides consultation and testing for all of its packaging.

Throw out whatever analytics or models you are using because they obviously suck.

«Our new approach uses big data analytics and a text - mining technique called topic modeling to identify potential matches,» Lee added.

Researchers at Florida Atlantic University's College of Engineering and Computer Science have received a National Science Foundation (NSF) Rapid Response Grant (RAPID) to develop an innovative model of Ebola spread by using big data analytics techniques and tools.

But whereas Facbeook's algorithms crunch through uploaded photographs to detect faces and Amazon's models predict which products you'll like, we are using these analytics tools to detect homes with high risk of lead contamination and to predict the locations of lead pipes buried underground or hidden in the homes of residents.

Researchers used a decision - analytic model to come to their conclusion.

He uses a combination of analytic and simple numerical models to build physical intuition for complex phenomena.

Using meta - analytic techniques, this review examined evidence regarding the strength of relationship between substance use and 29 risk and protective factors identified by the Communities that Care model.

When a meta - analytic model for SAT coaching is used to

Two longitudinal analytic strategies, latent class analyses and multilevel modeling, are used to test these hypotheses.

Next Green Car has partnered with Emissions Analytics to improve the NGC Emissions Calculator through the use of model specific Real Driving Emissions (RDE) data for NOx, CO2 and MPG.

Amazowl's article also explains how does the auction model work, the different ad formats, basic ad creation, brand pages and how to use Amazon analytics.

A kind of contingent realism, a form of play in which each model is subjected to an analytic process involving the identification of all basic elements, pulling them apart or separating them, then recombining them to form a new model using the bones of the old.

Meanwhile, Ride Report is partnering with a few other cities (to be announced this spring) to use the data analytics software to model and understand bicycle transportation behavior.

Synapse performs operational and planning modeling analyses of electric power systems using industry - standard models such as Strategist, EnCompass, Market Analytics, PROMOD, and PLEXOS to evaluate long - term energy plans, assess the environmental and economic impacts of policy initiatives, and review utility system modeling.

It is up to the climate «scientists» to prove that their climate model is accurate and there is no mathematical or numerical analytic theory that can be used to do so.

At least for turbulence models canonical simple cases where there are analytic solutions are used to calibrate the models so there is some expectation of predictive capability in new situations.

Arun develops models and visualizations of energy trends on global, national and local scales, using data analytics to study the levers and effects of climate mitigation and energy policy.

Using Market Analytics, Synapse modeled base and alternative scenarios for energy efficiency targets and renewable procurement, in order to estimate the changes in wholesale electricity costs.

Synapse also routinely performs operational and planning modeling analyses of electric power systems using industry - standard models such as Strategist, Market Analytics, PROMOD, and PLEXOS, and applies economic models such as REMI and IMPLAN to estimate impacts of electric sector policies and investments on employment, gross domestic or state product, and other metrics.

The analytic form of TOPMODEL equations are incorporated into the soil column framework and the resulting model is used to predict the saturated fraction of the watershed and baseflow in a consistent fashion.

Attorneys will start using tools like legal project management software to start tracking what they're doing and using the information that is collected for predictive analytics and the building of predictive models that will allow clients to understand how much they'll spend and what the outcomes may be.

Meet Karl Haraldsson» 19, a Chicago - Kent Honors Scholar in the evening division who works as a consultant for law firms seeking to transform their practice models by using technology and analytics data to provide services more cost effectively for clients.

Without getting into too much technical detail, predictive analytics uses algorithms, modeling, and machine learning to arrive at an answer.

One of the key themes that differentiates Riverview Law is the way it uses dashboards, management information, analytics and visualisations to help in - house legal and related teams to make better and quicker decisions, manage risk, reduce cost and evolve their operating models.

Some insurers use their own scoring models, while others use outside vendors, and different insurers may place greater emphasis on different aspects of your credit report in computing your score, said Lamont Boyd, insurance industry director for scores and analytics at FICO, which provides insurance - scoring software in addition to traditional credit scores.

Data Science Leveraging data science and predictive analytics expertise, we built 20 custom data models that could be used to forecast voter behavior.

We provide clients with a single platform that uses quantitative data models and analytic - driven selection to route orders to a suite of destinations, empowering traders to optimize execution and drive down implicit costs.

Reports first broke on March 17th, 2018 that data analytics firm Cambridge Analytica used 50 million Facebook profiles to build models to exploit users.

Not that it needs more analytics, but the two partners have developed plausible processes that use Google Analytics to surface macro trends and Salesforce Einstein to go the last mile, a model that works withanalytics, but the two partners have developed plausible processes that use Google Analytics to surface macro trends and Salesforce Einstein to go the last mile, a model that works withAnalytics to surface macro trends and Salesforce Einstein to go the last mile, a model that works with IBM too.

But Apple has plenty to smile about when reviewing the year's first three months, as the iPhone 7 has just been proclaimed the world's best - selling smartphone model by Strategy Analytics, mere hours after the iPhone 6s took ScientiaMobile's most used trophy.

Mentored sophisticated organizations on large scale data and analytics using advanced statistical and machine learning models.

Data Scientists use computer science applications, modelling, statistics, analytics, and math to uncover insights in data sets.

• Produced monthly deliverable reports • Developed relationships between internal and external staff, managed and liaised business affairs and communications between staff and non-finance employees • Used SAP and Hyperion Essbase to generate financial models • Designed and maintained databases, reports and all queries needed to develop financial analytics for department

Researched current state of brand using Google Analytics and modeling tools.

Created C++ hooks into Excel to incorporate trading analytics for traders who used Excel as their primary interface for modeling and booking trades

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.

- Establishment, enforcement and maintenance of internal controls for accounting and technology - Company - wide resource on the use of information technology in accounting and finance - Architect of SOX documentation, flowcharting and analysis system - Advanced analytics and data modeling using excel and custom reporting tools - Reporting through audited financial statements - Career long progression as Cost Accountant,...

Profile Result oriented analytics professional with over 5 years of experience in designing & developing advanced analytics solutions using statistical modelling techniques in R and Python leveraging various open source technologies and Tibco Spotfire Analytics analytics professional with over 5 years of experience in designing & developing advanced analytics solutions using statistical modelling techniques in R and Python leveraging various open source technologies and Tibco Spotfire Analytics analytics solutions using statistical modelling techniques in R and Python leveraging various open source technologies and Tibco Spotfire Analytics Analytics platform.

AREAS OF EXPERTISE • Global Engagement Delivery, Vendor Evaluation, Pre / Post Sales Support • Business Intelligence Applications, Data Analytics and Reporting, Dashboards, Scorecards • Business Analysis, Gap Analysis and Assessment, Requirements Development and Validation • Use Case Development, Process Flows, Data Diagramming, Data Modeling • ETL Data Analysis, Metadata Management, Source to Target Mapping, Cleansi...

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.

A model that hypothesized three factors found to provide an excellent fit to the data and the factor analytic results are in agreement with analyses conducted in other researches using UCLA loneliness Scale.

At least 2 high - or moderate - quality impact studies of the model using nonoverlapping analytic study samples with ≥ 1 favorable, statistically significant impacts in the same domain