WO2023230202A1 - Cloneur de couche de données - Google Patents

Cloneur de couche de données Download PDF

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Publication number
WO2023230202A1
WO2023230202A1 PCT/US2023/023472 US2023023472W WO2023230202A1 WO 2023230202 A1 WO2023230202 A1 WO 2023230202A1 US 2023023472 W US2023023472 W US 2023023472W WO 2023230202 A1 WO2023230202 A1 WO 2023230202A1
Authority
WO
WIPO (PCT)
Prior art keywords
data layer
data
analytics
layer
cloner
Prior art date
Application number
PCT/US2023/023472
Other languages
English (en)
Inventor
Raymond PICCOLOTTI
Jean-Paul BEHRENS
Brian Williams
Original Assignee
Softcrylic, Llc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Softcrylic, Llc filed Critical Softcrylic, Llc
Publication of WO2023230202A1 publication Critical patent/WO2023230202A1/fr

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/21—Design, administration or maintenance of databases
    • G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors

Definitions

  • the present disclosure relates to novel and advantageous systems and methods for generating data layers capable of being used by multiple internet-based platforms, such as websites.
  • Data layers which are typically objects created in a programming language such as Javascript, collect data on a website or on other software application platforms in a known, and generally standardized, way.
  • the data layer can be a reliable source to collect data generated by visitors engaging with, for example, a website, social media, emails, targeted digital media, or other digital media.
  • these data layers are typically tool specific, meaning that certain data layers may only be recognized by Google Analytics but not another tool like Adobe Analytics, and vice versa.
  • a company may currently run Google Analytics and Google Tag manager as their analytics provider, so they use a Google data layer on the website or digital media.
  • the company may also wish to implement another analytics tool or tag manager, such as Adobe Analytics and Adobe Tags, to run concurrently with their initial analytics provider.
  • Another analytics tool or tag manager such as Adobe Analytics and Adobe Tags, to run concurrently with their initial analytics provider.
  • the data on, for example, the Google data layer cannot easily be translated from the first analytics provider to be read by the second analytics provider.
  • a computer-implemented method for providing data layers for use by multiple data analytics tools comprising scanning a digital property (such as a website) for a first data layer set in a first digital format, the first data layer having a first data set and a push function; retrieving the first data layer; using a data layer cloner module to create a second data layer in a second digital format different than the first digital format, the second data layer having a second data set identical to the first data set; and overwriting the push function on the existing data layer such that the first data layer co-exists with the second data layer.
  • a digital property such as a website
  • the method further comprises altering a function of the first data layer or removing a function of the first data layer.
  • the first format may be readable by a first analytics tool, such as Google Analytics
  • the second format may be readable by a second analytics tool, such as Adobe Analytics, different than the first analytics tool.
  • the first data layer and the second data layer may be readable simultaneously by the first analytics tool and the second analytics tool.
  • the first data layer has a tag readable by the first analytics tool and the second data layer has a tag readable by the second analytics tool different than the first analytics tool.
  • FIG. l is a schematic of a method for cloning data layers, according to one or more embodiments of the invention.
  • FIG. 2 is a schematic of an analytics system, according to one or more embodiments of the invention.
  • the present disclosure describes novel and advantageous systems and methods for cloning data layers to permit the data layers to be utilized by different data collection or analysis tools while assuring that the events and values being passed within each data layer remain consistent.
  • the data layer cloner of the present disclosure limits the need maintain multiple individual JavaScript objects by developers.
  • the cloner takes the existing JavaScript object and clones it automatically for use by other data collection tools.
  • the data is available to use by multiple analytics providers, that may have their own unique tags or other identifies, without having to rewrite a data layer.
  • the existing data layer interacts with the cloned data layer to permit tagging ingesting by the other analytics provider.
  • FIG. 1 shows one embodiment of the computer-implemented method of data layer cloning of the present invention.
  • a digital property such as a website, social media, targeted digital media, untargeted digital media, or other online software module is examined or scanned for an existing data layer.
  • the existing data layer may be in a first format with a first set of data may further comprise a push function.
  • a data layer cloner module retrieves the existing data layer and writes a new data layer in a second format different from the first format.
  • the new data layer is stored in the browser or in the mobile application.
  • the new data layer has a second set of data that is identical to the first set of data.
  • the new data layer could further inherit something from the format of the new data layer to the extent it differs from the format of the existing data layer, even though the content of the data of the new data layer is identical to the data of the existing data layer.
  • the new data layer does not overwrite the existing data layer, but instead acts as a separate retrievable data layer.
  • the data layer cl oner module overwrites a push function on the existing data layer to allow functionality of the existing data layer in the first format concurrently with the functionality of the new data layer in the second format. This permits the existing data layer and the new data layer to function simultaneously or to work in unison without additional changes.
  • the data layer cloner module does not overwrite any other aspect of the existing data layer.
  • the data layer cloner module may edit or change obstructive functions that present difficulty with tagging ingestion. These obstructive functions may include, for example, an infinite recursive loop, other loops, other functions that prevent data collection, and other functions that prevent tagging or renaming. In other embodiments, the data layer cloner module may remove altogether the obstructive functions.
  • the data layer cloner module may interact with an analytics module to permit use of one or more of the data layers by multiple analytic tools or other marketing technology tools.
  • the data layer cloner may be triggered based on the name of the object being cloned to create multiple new data layers from the existing data layer. This is permissible so long as there are no naming conflicts among the multiple new data layers existing at the same location.
  • the data layer cloner module may be deployed using a script on the web page, a function of the social media platform or mobile application, or via a tag manager application.
  • FIG. 2 shows an analytics system 200 according to one or more embodiments of the invention.
  • Analytics system 200 comprises a website 202, an existing data layer 204, a data layer cloner 206, and a cloned data layer 208 established according to the methods described herein.
  • the analytics system 200 is described herein as having a website 202, it is contemplated by this invention that the website could be replaced by a mobile application, a social media platform, or any other software-based system where a user enters data or creates data.
  • the analytics system 200 may further comprise a first tag manager 210 and a second tag manager 212.
  • the first tag manager 210 may be in communication with the existing data layer 204 to receive data therefrom.
  • the second tag manager 212 may be in communication with the cloned data layer 208 to receive data therefrom.
  • the analytics system 200 may further comprise one or more analytics tools 214a, 214b, or 214c in communication with the first tag manager 210, as well as one or more analytics tools 216a, 216b, 216c in communication with the second tag manager 212.
  • the analytics tools 214a, 214b, 214c, 216a, 216b, 216c may be any analytics or marketing technology tool, package, or services.
  • This analytics system 200 enables data to be retrieved from the website 202 (or other mobile application, social media platform, other software based system) and utilized by multiple data layers 204, 208 to enable analytics by multiple tools that otherwise may conflict with one another or require additional conversion steps.
  • the terms “substantially” or “generally” refer to the complete or nearly complete extent or degree of an action, characteristic, property, state, structure, item, or result.
  • an object that is “substantially” or “generally” enclosed would mean that the object is either completely enclosed or nearly completely enclosed.
  • the exact allowable degree of deviation from absolute completeness may in some cases depend on the specific context. However, generally speaking, the nearness of completion will be so as to have generally the same overall result as if absolute and total completion were obtained.
  • the use of “substantially” or “generally” is equally applicable when used in a negative connotation to refer to the complete or near complete lack of an action, characteristic, property, state, structure, item, or result.
  • an element, combination, embodiment, or composition that is “substantially free of’ or “generally free of’ an ingredient or element may still actually contain such item as long as there is generally no measurable effect thereof.
  • any reference to "one embodiment” or “an embodiment” means that a particular element, feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment.
  • the appearances of the phrase “in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment.
  • the terms “comprises,” “comprising,” “includes,” “including,” “has,” “having” or any other variation thereof, are intended to cover a non-exclusive inclusion.
  • a process, method, article, or apparatus that comprises a list of elements is not necessarily limited to only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
  • "or” refers to an inclusive or and not to an exclusive or. For example, a condition A or B is satisfied by any one of the following: A is true (or present) and B is false (or not present), A is false (or not present) and B is true (or present), and both A and B are true (or present).

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

L'invention concerne un procédé mis en œuvre par ordinateur pour fournir des couches de données avec des ensembles de données identiques mais dans différents formats destinés à être utilisés par de multiples outils d'analyse de données récupérant une première couche de données dans un premier format, à l'aide d'un module de cloneur de couche de données pour créer une seconde couche de données dans un second format numérique différent du premier format numérique, la seconde couche de données ayant un second ensemble de données identique au premier ensemble de données ; et écraser la fonction de poussée sur la couche de données existante de telle sorte que la première couche de données coexiste avec la seconde couche de données.
PCT/US2023/023472 2022-05-27 2023-05-25 Cloneur de couche de données WO2023230202A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202263346360P 2022-05-27 2022-05-27
US63/346,360 2022-05-27

Publications (1)

Publication Number Publication Date
WO2023230202A1 true WO2023230202A1 (fr) 2023-11-30

Family

ID=88919886

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2023/023472 WO2023230202A1 (fr) 2022-05-27 2023-05-25 Cloneur de couche de données

Country Status (1)

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WO (1) WO2023230202A1 (fr)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080229037A1 (en) * 2006-12-04 2008-09-18 Alan Bunte Systems and methods for creating copies of data, such as archive copies
US20100287199A1 (en) * 2009-05-05 2010-11-11 Real Estate Portal Usa, Llc Networked computer system providing an integrated suite of web services and a geographic information system (gis) for real property and land parcels
US20190342336A1 (en) * 2018-05-01 2019-11-07 Charles Finkelstein Consulting LLC Universal data privacy control management system
CN114416840A (zh) * 2021-12-31 2022-04-29 北京来也网络科技有限公司 结合rpa及ai的数据获取方法、装置、服务器及存储介质
US20220138337A1 (en) * 2020-11-04 2022-05-05 Avalara, Inc. Online software platform (osp) extracting data of client for improved on-boarding of the client onto the osp

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080229037A1 (en) * 2006-12-04 2008-09-18 Alan Bunte Systems and methods for creating copies of data, such as archive copies
US20100287199A1 (en) * 2009-05-05 2010-11-11 Real Estate Portal Usa, Llc Networked computer system providing an integrated suite of web services and a geographic information system (gis) for real property and land parcels
US20190342336A1 (en) * 2018-05-01 2019-11-07 Charles Finkelstein Consulting LLC Universal data privacy control management system
US20220138337A1 (en) * 2020-11-04 2022-05-05 Avalara, Inc. Online software platform (osp) extracting data of client for improved on-boarding of the client onto the osp
CN114416840A (zh) * 2021-12-31 2022-04-29 北京来也网络科技有限公司 结合rpa及ai的数据获取方法、装置、服务器及存储介质

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