Analytics
Analytics is the discovery and communication of meaningful patterns in data. Especially valuable in areas rich with recorded
information, it relies on the simultaneous application of statistics, computer programming and operations research to quantify performance. Analytics often favors data visualization to communicate insight.
Marketing has evolved from a creative process into a highly data-driven process. Marketing organizations use analytics to determine
the outcomes of campaigns or efforts and to guide decisions for investment and consumer targeting. Demographic studies, customer segmentation, conjoint analysis and other techniques allow marketers to use large amounts of consumer purchase, survey and panel data to understand and communicate marketing strategy
Analytics Services:
Mobile subscriber analytics experts
Customer segmentation for marketing campaigns
Customer engagement score modeling
Uplift modeling from new products, campaigns, and mobile offers
Data joins between CRM and transaction data
Creation of custom developed data models
Data mining and database marketing
Data extraction from and/or load into cloud based services such as Amazon Cloud and Microsoft
Data Analytics (DA) is the science of examining raw data with the purpose of drawing conclusions about that information. Data analytics
is used in many industries to allow companies and organization to make better business decisions and in the sciences to verify or disprove existing models or theories. Data analytics is distinguished from data mining by the scope, purpose and focus of the analysis. Data miners sort through huge data sets using sophisticated software to identify undiscovered patterns and establish hidden relationships. Data analytics focuses on inference, the process of deriving a conclusion based solely on what is already known by the researcher.