IP Library Granted Patent US 11,169,965
Granted Patent B2
US 11,169,965 · App. 16/697,372 · Granted Nov 9, 2021

Metadata-based data valuation

Inventors: Stephen Todd (North Conway, NH); Anand Singh (Framingham, MA); Sudhir Vijendra (Westborough, MA); Narayanan Krishnakumar (Acton, MA); Qing Ye (Hopkinton, MA)
Assignee: EMC IP Holding Company LLC
G06F16/14G06F16/164
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Quick Facts
Patent No.
US 11,169,965
App. No.
16/697,372
Granted
Nov 9, 2021
Kind
B2
Abstract

At least one application data set stored in a data repository is obtained. The application data set is analyzed to generate at least one metadata node. The at least one metadata node is combined with at least one other related node to form a hierarchical data structure. One or more valuation algorithms are executed against the hierarchical data structure to calculate a value for the data set represented in the hierarchical data structure.

Claims (64)

1. A method, comprising:

obtaining at least one application data set stored in a data repository;

analyzing the application data set to generate at least one source metadata node, at least one intermediate metadata node and at least one end-user metadata node, the application data set contains data generated by a plurality of application program types comprising: a source type, an intermediate type, and a destination type, wherein at least one source type application generates source data, at least one destination type application generates end-user deliverable data, and at least one intermediate type application generates intermediate data in between the source data and the end-user deliverable data;

analyzing the source data to generate one or more source metadata attributes, the one or more source metadata attributes describing the source data;

performing computations on the source data to generate one or more intermediate metadata attributes, the one or more intermediate metadata attributes describing the intermediate data;

performing computations on at least one of the intermediate data and the source data to generate one or more end-user deliverable metadata attributes, the one or more end-user deliverable metadata attributes describing end-user deliverable data;

populating the at least one or more source metadata attributes into the at least one source metadata node, the at least one or more intermediate metadata attributes into the at least one intermediate metadata node, and the one or more end-user deliverable attributes into the at least one metadata end-user node;

combining the at least one source metadata node, the at least one intermediate metadata node and the at least one end-user metadata node to form a hierarchical data structure, the hierarchical data structure comprising source valuation nodes, intermediate valuation nodes, and at least one end-user valuation node;

determining a data set value for at least a subset of the data set of the hierarchical data structure corresponding to an end-user node value for the at least one end-user valuation node;

traversing the hierarchical data structure from the at least one end valuation node to the intermediate valuation nodes and the source valuation nodes; and

assigning node values to the intermediate level valuation nodes and to the source valuation nodes based on respective contributions to the at least one end-user valuation node;

wherein the steps are implemented via at least one processing device operatively coupled to the data repository.

2. The method of claim 1 , further comprising assigning node values to the source valuation nodes, the intermediate valuation nodes, and the at least one end-user valuation node at each level of the hierarchical data structure, and determining the data set value for the application data set stored in the data repository based on the node values assigned to at least a subset of the source valuation nodes, the intermediate valuation nodes, and the at least one end-user valuation node of the hierarchical data structure.

3. The method of claim 2 , further comprising defining one or more relationships between the source valuation nodes, the intermediate valuation nodes, and the at least one end-user valuation node of the hierarchical data structure.

4. The method of claim 1 , wherein:

the one or more source metadata attributes describe the source data in a native form.

5. The method of claim 1 , wherein:

the one or more source metadata attributes that populate the source level valuation nodes comprise one or more of: source data table definitions, source data view definitions, source data field definitions, and unstructured source data terms;

the one or more intermediate metadata attributes that populate the intermediate level valuation nodes comprise one or more of: intermediate data table definitions, intermediate data view definitions, intermediate data field definitions, and unstructured intermediate data terms; and

the one or more end-user deliverable metadata attributes that populate the end-user level valuation nodes comprise one or more of: end-user data table definitions, end-user data view definitions, end-user data field definitions, and unstructured end-user data terms.

6. The method of claim 1 , wherein the one or more end-user deliverable metadata attributes comprise business type metadata, and the one or more source metadata attributes and the one or more intermediate metadata attributes comprise technical type metadata.

7. The method of claim 1 , wherein a given one of an intermediate valuation node and a source valuation node is assigned a value equal to a product of a weight and the value of the at least one end-user valuation node that functions as a root node to the given one of the intermediate valuation node and the source valuation node.

8. The method of claim 7 , wherein a given source valuation node is assigned a value based at least in part on to a number of the intermediate valuation nodes and the at least one end-user valuation node to which the given source valuation node contributes divided by the total number of intermediate valuation nodes and the at least one end-user valuation node.

9. The method of claim 2 , wherein the assigning step further comprises assigning values by an end user assigning values to at least a portion of the source valuation nodes, the intermediate valuation nodes and the at least one end-user valuation node in the hierarchical data structure.

10. The method of claim 1 , further comprising modifying the hierarchical data structure by at least one of adding a node, deleting a node, and updating a node.

11. The method of claim 1 , wherein the data set value is calculated as a function of at least one of when the data set value is calculated and from where calculation of the data set value is requested.

12. The method of claim 1 , further comprising:

identifying, as a candidate data set from the data repository, an application data set that has a data valuation at or below a given low valuation threshold; and

at least one of deleting one or more candidate data sets from the data repository, and locking one or more candidate data sets to prevent deletion from the data repository.

13. An article of manufacture comprising a processor-readable storage medium having encoded therein executable code of one or more software programs, wherein the one or more software programs when executed by one or more processing devices implement the steps of:

obtaining at least one application data set stored in a data repository;

analyzing the application data set to generate at least one source metadata node, at least one intermediate metadata node and at least one end-user metadata node, the application data set contains data generated by a plurality of application program types comprising: a source type, an intermediate type, and a destination type, wherein at least one source type application generates source data, at least one destination type application generates end-user deliverable data, and at least one intermediate type application generates intermediate data in between the source data and the end-user deliverable data;

analyzing the source data to generate one or more source metadata attributes, the one or more source metadata attributes describing the source data;

performing computations on the source data to generate one or more intermediate metadata attributes, the one or more intermediate metadata attributes describing the intermediate data;

performing computations on at least one of the intermediate data and the source data to generate one or more end-user deliverable metadata attributes, the one or more end-user deliverable metadata attributes describing end-user deliverable data;

populating the at least one or more source metadata attributes into the at least one source metadata node, the at least one or more intermediate metadata attributes into the at least one intermediate metadata node, and the one or more end-user deliverable attributes into the at least one metadata end user node;

combining the at least one source metadata node, the at least one intermediate metadata node and the at least one end-user metadata node to form a hierarchical data structure, the hierarchical data structure comprising source valuation nodes, intermediate valuation nodes, and at least one end-user valuation node;

determining a data set value for at least a subset of the data set of the hierarchical data structure corresponding to an end-user node value for the at least one end-user valuation node;

traversing the hierarchical data structure from the at least one end valuation node to the intermediate valuation nodes and the source valuation nodes; and

assigning node values to the intermediate level valuation nodes and to the source valuation nodes based on respective contributions to the at least end-user valuation node.

14. The article of manufacture of claim 13 , wherein a given source valuation node is assigned a value based at least in part on to a number of the intermediate valuation nodes and the at least one end-user valuation node to which the given source valuation node contributes divided by the total number of intermediate valuation nodes and the at least one end-user valuation node.

15. The article of manufacture of claim 13 , wherein:

the one or more source metadata attributes that populate the source valuation nodes comprise one or more of: source data table definitions, source data view definitions, source data field definitions, and unstructured source data terms;

the one or more intermediate metadata attributes that populate the intermediate valuation nodes comprise one or more of: intermediate data table definitions, intermediate data view definitions, intermediate data field definitions, and unstructured intermediate data terms; and

the one or more end-user deliverable metadata attributes that populate the end-user valuation nodes comprise one or more of: end-user data table definitions, end-user data view definitions, end-user data field definitions, and unstructured end-user data terms.

16. A system comprising:

one or more processors operatively coupled to one or more memories configured to:

obtain at least one application data set stored in a data repository;

analyze the application data set to generate at least one source metadata node, at least one intermediate metadata node and at least one end-user metadata node, the application data set contains data generated by a plurality of application program types comprising: a source type, an intermediate type, and a destination type, wherein at least one source type application generates source data, at least one destination type application generates end-user deliverable data, and at least one intermediate type application generates intermediate data in between the source data and the end-user deliverable data;

analyze the source data to generate one or more source metadata attributes, the one or more source metadata attributes describing the source data;

perform computations on the source data to generate one or more intermediate metadata attributes, the one or more intermediate metadata attributes describing the intermediate data;

perform computations on at least one of the intermediate data and the source data to generate one or more end-user deliverable metadata attributes, the one or more end-user deliverable metadata attributes describing end-user deliverable data;

populate the at least one or more source metadata attributes into the at least one source metadata node the at least one or more intermediate metadata attributes into the at least one intermediate metadata node, and the one or more end-user deliverable attributes into the at least one metadata end-user node;

combine the at least one source metadata node, the at least one intermediate metadata node and the at least one end-user metadata node to form a hierarchical data structure, the hierarchical data structure comprising source valuation nodes, intermediate valuation nodes, and at least one end-user valuation node;

determine a data set value for at least a subset of the data set of the hierarchical data structure corresponding to an end-user node value for the at least one end-user valuation node;

traverse the hierarchical data structure from the at least one end valuation node to the intermediate valuation nodes and the source valuation nodes; and

assign node values to the intermediate level valuation nodes and to the source valuation nodes based on respective contributions to the at least one end-user valuation node.

17. The system of claim 16 , wherein a given source valuation node is assigned a value based at least in part on a number of the intermediate valuation nodes and the at least one end-user valuation node to which the given source valuation node contributes divided by the total number of intermediate valuation nodes and the at least one end-user valuation node.

18. The system of claim 16 , wherein:

the one or more source metadata attributes that populate the source level valuation nodes comprise one or more of: source data table definitions, source data view definitions, source data field definitions, and unstructured source data terms;

the one or more intermediate metadata attributes that populate the intermediate level valuation nodes comprise one or more of: intermediate data table definitions, intermediate data view definitions, intermediate data field definitions, and unstructured intermediate data terms; and

the one or more end-user deliverable metadata attributes that populate the end-user level valuation nodes comprise one or more of: end-user data table definitions, end-user data view definitions, end-user data field definitions, and unstructured end-user data terms.

19. The system of claim 16 , wherein a given one of an intermediate valuation node and a source valuation node is assigned a value equal to a product of a weight and the value of the at least one end-user valuation node that functions as a root node to the given one of the intermediate valuation node and the source valuation node.

20. The system of claim 16 , wherein the one or more end-user deliverable metadata attributes comprise business type metadata, and the one or more source metadata attributes and the one or more intermediate metadata attributes comprise technical type metadata.

Assignments (10)
RELEASE OF SECURITY INTEREST IN PATENTS PREVIOUSLY RECORDED AT REEL/FRAME (053311/0169) Recorded Jun 23, 2022
From: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS NOTES COLLATERAL AGENT
To: DELL PRODUCTS L.P.; EMC CORPORATION; EMC IP HOLDING COMPANY LLC
Reel/Frame 060438/0742 →
RELEASE OF SECURITY INTEREST IN PATENTS PREVIOUSLY RECORDED AT REEL/FRAME (053546/0001) Recorded Jun 23, 2022
From: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS NOTES COLLATERAL AGENT
To: DELL MARKETING L.P. (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO CREDANT TECHNOLOGIES, INC.); DELL INTERNATIONAL L.L.C.; DELL PRODUCTS L.P.; DELL USA L.P.; EMC CORPORATION; DELL MARKETING CORPORATION (SUCCESSOR-IN-INTEREST TO FORCE10 NETWORKS, INC. AND WYSE TECHNOLOGY L.L.C.); EMC IP HOLDING COMPANY LLC
Reel/Frame 071642/0001 →
RELEASE OF SECURITY INTEREST IN PATENTS PREVIOUSLY RECORDED AT REEL/FRAME (052216/0758) Recorded Jun 23, 2022
From: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS NOTES COLLATERAL AGENT
To: DELL PRODUCTS L.P.; EMC IP HOLDING COMPANY LLC
Reel/Frame 060438/0680 →
RELEASE OF SECURITY INTEREST AF REEL 052243 FRAME 0773 Recorded Nov 2, 2021
From: CREDIT SUISSE AG, CAYMAN ISLANDS BRANCH
To: DELL PRODUCTS L.P.; EMC IP HOLDING COMPANY LLC
Reel/Frame 058001/0152 →
SECURITY INTEREST Recorded Jun 5, 2020
From: DELL PRODUCTS L.P.; EMC CORPORATION; EMC IP HOLDING COMPANY LLC
To: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS COLLATERAL AGENT
Reel/Frame 053311/0169 →
SECURITY AGREEMENT Recorded Apr 22, 2020
From: CREDANT TECHNOLOGIES INC.; DELL INTERNATIONAL L.L.C.; DELL MARKETING L.P.; DELL PRODUCTS L.P.; DELL USA L.P.; EMC CORPORATION; FORCE10 NETWORKS, INC.; WYSE TECHNOLOGY L.L.C.; EMC IP HOLDING COMPANY LLC
To: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A.
Reel/Frame 053546/0001 →
SECURITY AGREEMENT Recorded Mar 26, 2020
From: DELL PRODUCTS L.P.; EMC IP HOLDING COMPANY LLC
To: CREDIT SUISSE AG, CAYMAN ISLANDS BRANCH
Reel/Frame 052243/0773 →
PATENT SECURITY AGREEMENT (NOTES) Recorded Mar 24, 2020
From: DELL PRODUCTS L.P.; EMC IP HOLDING COMPANY LLC
To: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS COLLATERAL AGENT
Reel/Frame 052216/0758 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 27, 2019
From: TODD, STEPHEN; SINGH, ANAND; VIJENDRA, SUDHIR; KRISHNAKUMAR, NARAYANAN; YE, QING
To: EMC CORPORATION
Reel/Frame 051128/0883 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 27, 2019
From: EMC CORPORATION
To: EMC IP HOLDING COMPANY LLC
Reel/Frame 051143/0001 →