Customer analytics Definitions

  • A

    A/B testing (split testing)

    A/B testing is a statistical method used to assess proposed changes to a product or service.

  • advanced analytics

    While the traditional analytical tools that comprise basic business intelligence (BI) examine historical data, tools for advanced analytics focus on forecasting future events and behaviors

  • Apache Spark

    Apache Spark is an open source parallel processing framework for running large-scale data analytics applications across clustered computers. It can handle both batch and real-time analytics and data processing workloads.

  • association rules (in data mining)

    Association rules are if/then statements that help uncover relationships between seemingly unrelated data in a transactional database, relational database or other information repository.  

  • B

    big data analytics

    Big data analytics is the process of examining large and varied data sets -- i.e., big data -- to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions.

  • C

    customer analytics (customer data analytics)

    Customer analytics, also called customer data analytics, is the systematic examination of a company's customer information to identify, attract and retain the most profitable customers.

  • customer intelligence (CI)

    Customer intelligence (CI) is information derived from customer data that an organization collects from both internal and external sources.

  • D

    data sampling

    Data sampling is a statistical analysis technique used to select, manipulate and analyze a representative subset of data points in order to identify patterns and trends in the data set being examined as a whole.

  • data science as a service (DSaaS)

    Data science as a service (DSaaS) is the delivery of analytical reports and data products with embedded analytics produced by a service provider's team of data scientists to a client enterprise.

  • data scientist

    A data scientist is a professional responsible for collecting, analyzing and interpreting large amounts of data to identify ways to help a business improve operations and gain a competitive edge over rivals.

  • F

    funnel analysis

    Funnel analysis is a way to measure and improve the performance of customer interactions in a step-wise progression from the initial customer contact to a predetermined conversion metric.

  • G

    Google Advertising ID

    Google Advertising ID is a piece of universally unique identifier code that allows mobile applications running on Android devices to identify users and gather data for the purposes of building profiles.

  • Google Analytics

    Google Analytics is a free Web analytics service that provides statistics and basic analytical tools for search engine optimization (SEO) and marketing purposes. The service is available to anyone with a Google account.

  • L

    location intelligence (LI)

    Location intelligence (LI) is a business analysis tool capability that enables companies to gather geographic- and location-related data to better understand global, regional and local business trends.

  • M

    mobile location analytics (MLA)

    Mobile location analytics is a method used by retailers to track the movements of shoppers throughout their stores.

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