ANALYTICS IQ

Brand Owner (click to sort) Address Description
ANALYTICSIQ AnalyticsIQ, Inc. Suite 1750 6 Concourse Pkwy Atlanta GA 30328 ANALYTICS IQ;Business management consulting with relation to strategy, marketing, sales, operation, product design particularly specializing in the use of analytic and statistic models for the understanding and predicting of consumers, businesses, and market trends and actions;
ANALYTICSIQ AnalyticsIQ 115 Perimeter Center Place Atlanta GA 30346 ANALYTICS IQ;AnalyticsIQ is an offline marketing data creator and predictive analytics innovator. We are the first data company to consistently blend cognitive psychology with sophisticated data science to help you understand the who, what and why behind consumers and the decisions they make every day. Our accurate and comprehensive consumer database, PeopleCore, provides access to data attributes you canâeuro(TM)t find anywhere else. From demographics and affluence categories to psychological drivers and purchase predictors, marketers rely on our data to fuel personalized experiences across channels. And BusinessCore, our first-of-its-kind B2B database, provides unprecedented insight into not just businesses and accounts, but also individual employees. By going beyond firmographics and focusing on the background, purchasing style and communication preferences of individual professionals, companies can accelerate their marketing and sales efforts while building long-standing customer relationships Recognized as one of the âeurooeTop 10 Most Innovative Companies in Georgiaâeuro, AnalyticsIQ is headquartered in Atlanta, Georgia, and employs a team of industry veterans, data scientists and cognitive psychologists with over 100 years of collective analytical experience. Our fast and flexible approach makes it easy to get started using sophisticated data to grow your business;
 

Where the owner name is not linked, that owner no longer owns the brand

    
Technical Examples
  1. An analytics and data warehousing infrastructure and services system that uses an analytic rather than a transactional data model. The system preferably has at least one extracted source data store, at least one staging data store, and at least one analytic data store. The at least one staging data store preferably has at least one staging data table. The at least one analytic data store preferably has at least one analytic data table for storing transformed data. A staging data table loading algorithm may be used for populating the at least one staging data table with source data. A data transformation algorithm may be used for moving and transforming data from a staging data table into an analytic data store. Other algorithms that may be used in the present invention include algorithms for creating derived variables, creating event proxies, and restructuring data. In one preferred embodiment, the system is a data model based on a clinical rather than a financial understanding of healthcare.