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  2. Business analytics - Wikipedia

    en.wikipedia.org/wiki/Business_analytics

    Business analytics (BA) refers to the skills, technologies, and practices for iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods .

  3. Conversion rate optimization - Wikipedia

    en.wikipedia.org/wiki/Conversion_rate_optimization

    Conversion rate optimization seeks to increase the percentage of website visitors that take a specific action (often submitting a web form, making a purchase, signing up for a trial, etc.) by methodically testing alternate versions of a page or process [citation needed], and through removing impediments to user experience and improving page loading speeds.

  4. Business intelligence - Wikipedia

    en.wikipedia.org/wiki/Business_intelligence

    Thomas Davenport, professor of information technology and management at Babson College argues that business intelligence should be divided into querying, reporting, Online analytical processing (OLAP), an "alerts" tool, and business analytics. In this definition, business analytics is the subset of BI focusing on statistics, prediction, and ...

  5. Marketing mix modeling - Wikipedia

    en.wikipedia.org/wiki/Marketing_mix_modeling

    Marketing mix modeling (MMM) is an analytical approach that uses historic information to quantify impact of marketing activities on sales. Example information that can be used are syndicated point-of-sale data (aggregated collection of product retail sales activity across a chosen set of parameters, like category of product or geographic market) and companies’ internal data.

  6. Analytic applications - Wikipedia

    en.wikipedia.org/wiki/Analytic_applications

    The maturity levels for business intelligence are: operational reporting; analytic reporting; business dashboards; analytic applications; It may extend further to predictive analytics, or predictive analysis may form part of the analytic application - depending on both the subject matter under analysis, and the nature of the analysis required.

  7. Sales effectiveness - Wikipedia

    en.wikipedia.org/wiki/Sales_Effectiveness

    The purpose of sales force effectiveness is to increase company revenues through increased customer acquisition, product/service sales, and up-selling/cross-selling additional products and services. The purpose of sales force effectiveness metrics is "to measure the performance of a sales force and of individual salespeople."

  8. Customer analytics - Wikipedia

    en.wikipedia.org/wiki/Customer_analytics

    Customer analytics is a 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 to satisfy customers.

  9. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Analytics is the "extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions." It is a subset of business intelligence, which is a set of technologies and processes that uses data to understand and analyze business performance to drive decision-making .