1 / 11

Data Enrichment

Data Enrichment is the <br>process of adding value to <br>existing data by enhancing or <br>appending data to an existing <br>dataset with additional <br>information

Gleecus
Download Presentation

Data Enrichment

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Data Enrichment #techtuesdays

  2. What is Data Enrichment? Data Enrichment is the process of adding value to existing data by enhancing or appending data to an existing dataset with additional information #techtuesdays

  3. Why is Data Enrichment Required? Improves data accuracy Aids in customer engagement Helps in segmentation of customers Improves lead scoring Enhance Personalisation #techtuesdays

  4. Methods of Data Enrichment Data Scraping: Extraction of data from websites or other online sources using specialized softwares Manual Research: Involves data being manually entered into a spreadsheet or database Data Enrichment tools: Specialized tools that gathers, organizes, cleans, and formats data from third-party sources and aggregates it from different sources. #techtuesdays

  5. Difference between Data Enrichment and Data Cleansing Data cleansing means removing inaccurate and duplicate data. Data Enrichment is collecting additional data for a dataset and appending it to cover the missing information #techtuesdays

  6. Data Enrichment Techniques Appending Data - by appending data from various sources to a dataset accuracy, and consistency of a dataset is increased to give a comprehensive picture. Data Segmentation - data from a dataset is grouped based on some predefined variables like age, gender, income to be accurately described as a category Data Manipulation - Technique of substituting missing or inconsistent data inside fields #techtuesdays

  7. Data Enrichment Techniques Derived Attributes - creation of new fields from existing values of a dataset like deriving age from date of birth or state of residence from zipcode Entity Extraction - Extraction of useful structured data from semi-structured or unstructured data Data Categorization - Process of classifying unstructured information via sentiment analysis or topication to make it analyzable #techtuesdays

  8. Types Of Data Enrichment Socio-demographic data - It is the process of enriching a dataset with specific demographic information with the intent of targeting a special category of users Geographic data - It is the process of adding geographic data to an existing dataset with the intent of location based marketing #techtuesdays

  9. Types Of Data Enrichment Purchase intent data - It is the process of enriching a dataset with shopping data and product view frequency for granular marketing and precise view of customer’s willingness to buy Data Enrichment based on app usage Enriching dataset based on app usage information to identify overall customer experience and preferences #techtuesdays

  10. Tools for Data Enrichment #techtuesdays

  11. Thank you for your time. Stay Tuned for next Tech Tuesdays! #techtuesdays

More Related