EconStra helps the process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. Marketing provides services in order to satisfy customers. With that in mind, the productive system is considered from its beginning at the production level, to the end of the cycle at the consumer. Customer analytics plays a very important role in the prediction of customer behavior today.
EconStra deploys the systems to process, pay, and audit employee-initiated expenses. These costs include, but are not limited to, expenses incurred for travel and entertainment. Expense management includes the policies and procedures which govern such spending, as well as the technologies and services utilized to process and analyze the data associated with it.
EconStra provides the services, which encompasses a broad range of organizations that manage money, including credit unions, banks, credit card companies, insurance companies, accountancy companies, consumer finance companies, stock brokerages, investment funds, real estate funds and some government sponsored enterprises.
Healthcare organizations are leveraging big data technology to capture all of the information about a patient to get a more complete view for insight into care coordination and outcomes-based reimbursement models, population health management, and patient engagement and outreach.EconStra harness data unleashes to the healthcare organizations to achieve sustainable healthcare systems, collaborate to improve care and outcomes, increase access to healthcare.
EconStra describes the analysis and improvement of the efficiency and effectiveness of marketing.This is accomplished by focus on the alignment of marketing activities, strategies, and metrics with business goals.It involves the creation of a metrics framework to monitor marketing performance, and then develop and utilize marketing dashboards to manage marketing performance.
EconStra evaluates specific media message or construction to evaluate how it affects a target audience. This is in contrast to media analysis, which would be a more traditional evaluation of what’s in a media message or construction. Media analytics for business tends to focus on results that affect sales rates or other specific events.
EconStra leverages statistics to predict outcomes.Most often the event one wants to predict is in the future, but predictive modelling can be applied to any type of unknown event, regardless of when it occurred.Depending on definitional boundaries, predictive modelling is synonymous with, or largely overlapping with, the field of machine learning, as it is more commonly referred to in academic or research and development contexts.
Communications service providers all over the globe are seeing an unprecedented rise in volume, variety and velocity of information (“big data”) due to next generation mobile network rollouts, increased use of smart phones and rise of social media. EconStra helps service providers by harnessing big data that lead to deliver smarter services that generate new sources of revenue; Transform operations to achieve business and service excellence; and Build smarter networks to drive consistent, high-quality customer experience.