• <nav id="urrag"></nav><dd id="urrag"></dd>
    1. <wbr id="urrag"><p id="urrag"></p></wbr>
        <nav id="urrag"></nav>
      1. <nav id="urrag"><code id="urrag"><meter id="urrag"></meter></code></nav><form id="urrag"><legend id="urrag"></legend></form>
      2. APPROACH

        We used the following approach to enable this:

        • We imported all the required data elements and cleansed them to a standardized format by getting the right Lat-Long through web extraction, stop word removal, abbreviation replacements etc.
        • Following this, we used statistical fuzzy matching techniques like Jaccard similarity, Jaro Winker, phonetical match, distance match, etc. to determine records which were similar.
        • We then applied business rules specific to the client’s needs to ensure that certain records were not falsely flagged as duplicates.

        KEY BENEFITS

        • The solution enabled the client to integrate multiple data sources into SFDC after removing duplicates to avoid redundancy of information.
        • The entire algorithm has also been automated to run without any manual intervention and generate output files every time there is an update on the input files.

        RESULTS

        • The client could merge projects and leads information from multiple 3rd party sources into their environment in a seamless manner without any duplication of information.
        • All relevant information pertaining to an account was accessible in one location when a rep logs into SFDC.

        亚洲 欧洲 日韩 综合在线