Data maturity management

Patent metadata

Field	Value
Publication number	US-12019612-B2
Application number	US-201715442966-A
Country	US
Kind code	B2
Filing date	Feb 27, 2017
Priority date	Feb 27, 2017
Publication date	Jun 25, 2024
Grant date	Jun 25, 2024

Abstract

Disclosed aspects relate to Internet of Things (IoT) data maturity management. A set of IoT data may be ingested by a data maturity engine. A set of maturity factors which indicates a fitness for utilization of the set of IoT data may be determined. The determining may occur with respect to the set of IoT data by the data maturity engine. A data management operation may be identified by the data maturity engine based on the set of maturity factors for the set of IoT data. The data management operation may be identified to manage the set of IoT data. The data management operation may be carried-out to manage the set of IoT data.

First claim

What is claimed is:

1. A computer-implemented method of Internet of Things (IoT) data maturity management, the method comprising:
receiving, by a data maturity engine, a set of IoT data from an IoT device;
evaluating, by the data maturity engine, the set of IoT data with respect to a set of maturity factors to ascertain a degree of trustworthiness for the set of IoT data, wherein the set of maturity factors includes an indication of integrity of the set of IoT data;
ascertaining, with respect to the set of IoT data by the data maturity engine, a source reputation maturity factor feature and a security level maturity factor feature, wherein the source reputation maturity factor feature includes a historical reliability score for a data source, wherein the security level maturity factor feature includes an encryption protocol parameter, an IoT data trust factor, and an IoT data sensitivity criterion;
selecting, based on the source reputation maturity factor feature and the security level maturity factor feature, a first data management operation to manage the set of IoT data;
carrying-out, by the data maturity engine, the first data management operation to manage the set of IoT data;
computing, with respect to the set of IoT data with the first data management operation based on the set of maturity factors, a data maturity score;
comparing the data maturity score with a threshold routing score;
routing, to the data processing engine based on the data maturity score exceeding the threshold routing score, the set of IoT data with the first data management operation; and
processing, by the data processing engine based on the set of maturity factors, the set of IoT data with the first data management operation utilizing one or more data analysis methods.

2. The method of claim 1 , further comprising:
organizing, based on the set of maturity factors, the set of IoT data; and
routing, to a data processing engine, the set of IoT data.

3. The method of claim 1 , further comprising:
calculating, based on the set of maturity factors, a set of IoT data elements with respect to the set of IoT data; and
routing, to a data processing engine, the set of IoT data elements with respect to the set of IoT data.

4. The method of claim 1 , further comprising:
ascertaining, with respect to the set of IoT data by the data maturity engine, a temporal maturity factor feature, wherein the temporal maturity factor feature is a parameter indicating a time-related condition for evaluating the maturity of the set of IoT data;
selecting, based on the temporal maturity factor feature, a second data management operation to manage the set of IoT data; impeded
carrying-out, by the data maturity engine, the second data management operation to manage the set of IoT data.

5. The method of claim 1 , further comprising:
ascertaining, with respect to the set of IoT data by the data maturity engine, a data expiration maturity factor feature, wherein the data expiration maturity factor feature is a parameter defining a condition under which the set of IoT data is considered to be expired;
selecting, based on the data expiration maturity factor feature, a second data management operation to manage the set of IoT data;
carrying-out, by the data maturity engine, the second data management operation to manage the set of IoT data.

6. The method of claim 1 , further comprising:
ascertaining, with respect to the set of IoT data by the data maturity engine, an expected future maturity expectation feature;
selecting, based on the expected future maturity expectation feature, a second data management operation to manage the set of IoT data;
carrying-out, by the data maturity engine, the second data management operation to manage the set of IoT data.

7. The method of claim 1 , further comprising:
ascertaining, with respect to the set of IoT data by the data maturity engine, a frequency of data reception maturity factor feature, wherein the frequency of data reception maturity factor feature defines a data reception frequency-related condition for evaluating the maturity of the set of IoT data and includes a forecast of when a next set of IoT data is expected to be received;
selecting, based on the frequency of data reception maturity factor feature, a second data management operation to manage the set of IoT data;
carrying-out, by the data maturity engine, the second data management operation to manage the set of IoT data.

8. The method of claim 1 , further comprising:
ascertaining, with respect to the set of IoT data by the data maturity engine, a consistency maturity factor feature, wherein the consistency maturity feature factor defines a condition for evaluating the maturity of the set of IoT data based on the consistency of the set of IoT data;
selecting, based on the consistency maturity factor feature, a second data management operation to manage the set of IoT data;
carrying-out, by the data maturity engine, the second data management operation to manage the set of IoT data.

9. The method of claim 1 , further comprising:
ascertaining, with respect to the set of IoT data by the data maturity engine, a comparative context maturity factor feature, wherein the comparative context maturity factor species an IoT data source correspondence criterion and an IoT data logical consistency parameter;
selecting, based on the comparative context maturity factor feature, a second data management operation to manage the set of IoT data;
carrying-out, by the data maturity engine, the second data management operation to manage the set of IoT data.

10. The method of claim 1 , further comprising:
ascertaining, with respect to the set of IoT data by the data maturity engine, an intended utilization maturity factor feature;
selecting, based on the intended utilization maturity factor feature, a second data management operation to manage the set of IoT data;
carrying-out, by the data maturity engine, the second data management operation to manage the set of IoT data.

11. The method of claim 1 , further comprising:
ascertaining, with respect to the set of IoT data by the data maturity engine, a dependency maturity factor feature, wherein the dependency maturity factor feature defines an IoT data reliance factor, an IoT data impact parameter, and an IoT data priority level;
selecting, based on the dependency maturity factor feature, a second data management operation to manage the set of IoT data;
carrying-out, by the data maturity engine, the second data management operation to manage the set of IoT data.

12. A system of IoT data maturity management, the system comprising:
a memory having a set of computer readable computer instructions, and
a processor for executing the set of computer readable instructions, the set of computer readable instructions including:
receiving, by a data maturity engine, a set of IoT data from an IoT device;
evaluating, by the data maturity engine, the set of IoT data with respect to a set of maturity factors to ascertain a degree of trustworthiness for the set of IoT data, wherein the set of maturity factors includes an indication of integrity of the set of IoT data;
ascertaining, with respect to the set of IoT data by the data maturity engine, a source reputation maturity factor feature and a security level maturity factor feature, wherein the source reputation maturity factor feature includes a historical reliability score for a data source, wherein the security level maturity factor feature includes an encryption protocol parameter, an IoT data trust factor, and an IoT data sensitivity criterion;
selecting, based on the source reputation maturity factor

Assignees

• IBM

Inventors

• Altaf Naeem
• Madduri Hari H
• Marin Jr Leucir
• Mukherjee Maharaj
• Ng Joanna W
• Robertson Michael P

Classifications

• G06F16/24578

  using ranking · CPC title

• G06F16/215

  Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors · CPC title

• G06F16/2365 Primary

  Ensuring data consistency and integrity · CPC title