Systems and methods for matching electronic activities to record objects of systems of record with node profiles

• US 10,657,129 B2
• Filed: 12/31/2018
• Issued: 05/19/2020
• Est. Priority Date: 05/24/2018
• Status: Active Grant

• Current Assignee: People.ai, Inc.
• Original Assignee: People.ai, Inc.
• Inventors: Rogynskyy, Oleg, Joseph, Rajit Kurien, Navarro, Jose Alberto Muniz, Brunets, Yurii
• Primary Examiner(s): Patel, Hitesh
• Application Number:
  US16/237,579
• Publication Number:
  US 20190364130A1
• Time in Patent Office: 505 Days
• CPC Class Codes: G06F 11/3024 where the computing system component is a central processing unit [CPU]
• CPC Class Codes: G06F 11/3452 Performance evaluation by statistical analysis
• CPC Class Codes: G06F 11/3495 for systems
• CPC Class Codes: G06F 16/122 using management policies backup systems G06F11/1446; file migration policies for HSM systems G06F16/185
• CPC Class Codes: G06F 16/1734 Details of monitoring file system events, e.g. by the use of hooks, filter drivers, logs
• CPC Class Codes: G06F 16/178 Techniques for file synchronisation in file systems
• CPC Class Codes: G06F 16/182 Distributed file systems
• CPC Class Codes: G06F 16/212 with details for data modelling support
• CPC Class Codes: G06F 16/215 Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
• CPC Class Codes: G06F 16/219 Managing data history or versioning querying versioned data G06F16/2474; querying temporal data G06F16/2477
• CPC Class Codes: G06F 16/22 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/221 Column-oriented storage; Management thereof
• CPC Class Codes: G06F 16/2228 Indexing structures
• CPC Class Codes: G06F 16/2264 Multidimensional index structures
• CPC Class Codes: G06F 16/2272 Management thereof
• CPC Class Codes: G06F 16/23 Updating
• CPC Class Codes: G06F 16/235 Update request formulation
• CPC Class Codes: G06F 16/2358 Change logging, detection, and notification replication G06F16/27
• CPC Class Codes: G06F 16/2365 Ensuring data consistency and integrity
• CPC Class Codes: G06F 16/2379 Updates performed during online database operations; commit processing
• CPC Class Codes: G06F 16/2386 : Bulk updating operations data conversion details G06F16/258
• CPC Class Codes: G06F 16/245 : Query processing
• CPC Class Codes: G06F 16/24558 : Binary matching operations
• CPC Class Codes: G06F 16/24564 : Applying rules; Deductive queries
• CPC Class Codes: G06F 16/2457 : with adaptation to user needs
• CPC Class Codes: G06F 16/24575 : using context
• CPC Class Codes: G06F 16/24578 : using ranking
• CPC Class Codes: G06F 16/2477 : Temporal data queries
• CPC Class Codes: G06F 16/254 : Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
• CPC Class Codes: G06F 16/256 : in federated or virtual databases
• CPC Class Codes: G06F 16/26 : Visual data mining; Browsing structured data
• CPC Class Codes: G06F 16/27 : Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
• CPC Class Codes: G06F 16/273 : Asynchronous replication or reconciliation
• CPC Class Codes: G06F 16/28 : Databases characterised by their database models, e.g. relational or object models
• CPC Class Codes: G06F 16/285 : Clustering or classification
• CPC Class Codes: G06F 16/288 : Entity relationship models
• CPC Class Codes: G06F 16/289 : Object oriented databases
• CPC Class Codes: G06F 16/29 : Geographical information databases
• CPC Class Codes: G06F 16/313 : Selection or weighting of terms for indexing
• CPC Class Codes: G06F 16/337 : Profile generation, learning or modification
• CPC Class Codes: G06F 16/355 : Class or cluster creation or modification
• CPC Class Codes: G06F 16/901 : Indexing; Data structures therefor; Storage structures for retrieval from the web G06F16/951
• CPC Class Codes: G06F 16/9024 : Graphs; Linked lists G06F16/9027 takes precedence
• CPC Class Codes: G06F 16/90344 : by using string matching techniques
• CPC Class Codes: G06F 16/9035 : Filtering based on additional data, e.g. user or group profiles
• CPC Class Codes: G06F 16/906 : Clustering; Classification
• CPC Class Codes: G06F 16/93 : Document management systems
• CPC Class Codes: G06F 16/9535 : Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 21/6218 : to a system of files or objects, e.g. local or distributed file system or database
• CPC Class Codes: G06F 21/6245 : Protecting personal data, e.g. for financial or medical purposes
• CPC Class Codes: G06F 40/20 : Natural language analysis semantic analysis of natural language G06F40/30
• CPC Class Codes: G06F 40/205 : Parsing
• CPC Class Codes: G06F 40/237 : Lexical tools
• CPC Class Codes: G06F 40/295 : Named entity recognition
• CPC Class Codes: G06F 40/30 : Semantic analysis
• CPC Class Codes: G06F 7/14 : Merging, i.e. combining at least two sets of record carriers each arranged in the same ordered sequence to produce a single set having the same ordered sequence
• CPC Class Codes: G06F 9/542 : Event management; Broadcasting; Multicasting; Notifications
• CPC Class Codes: G06N 20/00 : Machine learning
• CPC Class Codes: G06N 3/08 : Learning methods
• CPC Class Codes: G06N 5/022 : Knowledge engineering; Knowledge acquisition
• CPC Class Codes: G06N 5/025 : Extracting rules from data
• CPC Class Codes: G06N 5/04 : Inference or reasoning models
• CPC Class Codes: G06N 7/02 : using fuzzy logic computing arrangements based on biological models G06N3/00; computing arrangements using knowledge-based models G06N5/00
• CPC Class Codes: G06Q 10/04 : Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/063114 : Status monitoring or status determination for a person or group
• CPC Class Codes: G06Q 10/06312 : Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
• CPC Class Codes: G06Q 10/06315 : Needs-based resource requirements planning or analysis
• CPC Class Codes: G06Q 10/06393 : Score-carding, benchmarking or key performance indicator [KPI] analysis
• CPC Class Codes: G06Q 10/06398 : Performance of employee with respect to a job function
• CPC Class Codes: G06Q 10/10 : Office automation; Time management
• CPC Class Codes: G06Q 10/107 : Computer-aided management of electronic mailing [e-mailing]
• CPC Class Codes: G06Q 10/109 : Time management, e.g. calendars, reminders, meetings or time accounting
• CPC Class Codes: G06Q 10/1091 : Recording time for administrative or management purposes
• CPC Class Codes: G06Q 10/1095 : Meeting or appointment
• CPC Class Codes: G06Q 30/0201 : Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 50/01 : Social networking
• CPC Class Codes: G06Q 50/22 : Social work or social welfare, e.g. community support activities or counselling services
• CPC Class Codes: G16H 15/00 : ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 50/20 : for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 : for calculating health indices; for individual health risk assessment
• CPC Class Codes: H04L 12/14 : Charging , metering or billing arrangements for data wireline or wireless communications
• CPC Class Codes: H04L 12/1407 : Policy-and-charging control [PCC] architecture
• CPC Class Codes: H04L 12/1831 : Tracking arrangements for later retrieval, e.g. recording contents, participants activities or behavior, network status
• CPC Class Codes: H04L 2101/00 : Indexing scheme associated with group H04L61/00
• CPC Class Codes: H04L 2101/35 : containing special prefixes
• CPC Class Codes: H04L 2101/37 : E-mail addresses
• CPC Class Codes: H04L 41/082 : the condition being updates or upgrades of network functionality
• CPC Class Codes: H04L 41/14 : Network analysis or design
• CPC Class Codes: H04L 43/026 : using flow identification
• CPC Class Codes: H04L 43/045 : for graphical visualisation of monitoring data
• CPC Class Codes: H04L 43/062 : related to network traffic
• CPC Class Codes: H04L 43/065 : related to network devices
• CPC Class Codes: H04L 43/067 : using time frame reporting
• CPC Class Codes: H04L 43/08 : Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
• CPC Class Codes: H04L 43/0876 : Network utilisation, e.g. volume of load or congestion level
• CPC Class Codes: H04L 43/14 : using software, i.e. software packages network security related monitoring H04L63/1408
• CPC Class Codes: H04L 51/046 : Interoperability with other network applications or services
• CPC Class Codes: H04L 51/212 : using filtering or selective blocking
• CPC Class Codes: H04L 51/234 : for tracking messages
• CPC Class Codes: H04L 51/42 : Mailbox-related aspects, e.g. synchronisation of mailboxes
• CPC Class Codes: H04L 61/45 : Network directories; Name-to-address mapping
• CPC Class Codes: H04L 61/4594 : Address books, i.e. directories containing contact information about correspondents telephone directories in user terminals H04M1/27453
• CPC Class Codes: H04L 67/125 : involving control of end-device applications over a network
• CPC Class Codes: H04L 67/30 : Profiles
• CPC Class Codes: H04L 67/303 : Terminal profiles
• CPC Class Codes: H04L 67/306 : User profiles
• CPC Class Codes: H04L 67/535 : Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04M 15/00 : Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
• CPC Class Codes: H04M 15/41 : Billing record details, i.e. parameters, identifiers, structure of call data record [CDR]
• CPC Class Codes: H04M 15/50 : for cross-charging network operators
• CPC Class Codes: H04M 15/58 : based on statistics of usage or network monitoring
• CPC Class Codes: H04M 15/60 : based on actual use of network resources
• CPC Class Codes: H04M 15/66 : Policy and charging system
• CPC Class Codes: H04M 15/755 : Account identification
• CPC Class Codes: H04M 2203/556 : Statistical analysis and interpretation
• CPC Class Codes: H04M 3/2218 : Call detail recording
• CPC Class Codes: H04M 3/436 : Arrangements for screening incoming calls , i.e. evaluating the characteristics of a call before deciding whether to answer it based on the calling party profile H04M3/42059; based on location H04M3/42348; based on presence H04M3/42365; diversion H04M3/54
• CPC Class Codes: H04M 3/5175 : Call or contact centers supervision arrangements
• CPC Class Codes: H04M 3/56 : Arrangements for connecting several subscribers to a common circuit, i.e. affording conference facilities video conference systems H04N7/15
• CPC Class Codes: H04W 4/24 : Accounting or billing

Abstract

The system described herein can automatically match, link, or otherwise associate electronic activities with one or more record objects. For an electronic activity that is eligible or qualifies to be matched with one or more record objects, the system can identify one or more set of rules or rule sets. Using the rule sets, the system can identify candidate record objects. The system can then rank the identified candidate record objects to select one or more record objects with which to associate the electronic activity. The system can then store an association between the electronic activity and the selected one or more record objects.

Claims

1. A method comprising:

maintaining, by one or more processors, a plurality of node profiles corresponding to a plurality of unique entities, each node profile including a plurality of fields, each field of the plurality of fields including one or more node field values;

accessing, by the one or more processors, a plurality of electronic activities transmitted or received via electronic accounts associated with one or more data source providers, the one or more processors configured to update the plurality of node profiles using the plurality of electronic activities;

maintaining, by the one or more processors, a plurality of record objects of one or more systems of record, each record object of the plurality of record objects comprising one or more object fields having one or more object field values;

extracting, by the one or more processors, data included in an electronic activity of the plurality of electronic activities;

matching, by the one or more processors, the electronic activity to at least one node profile of the plurality of node profiles based on determining that the extracted data of the electronic activity and the one or more values of the fields of the at least one node profile satisfy a node profile matching policy;

matching, by the one or more processors, the electronic activity to at least one record object of the plurality of record objects based on the extracted data of the electronic activity and object values of the at least one record object by;

identifying, by the one or more processors, responsive to applying at least one matching policy of a plurality of matching policies for identifying record objects based on one or more recipients of the electronic activity and a sender of the electronic activity, a set of record objects with which to match the electronic activity, each record object of the set identified based on the one or more recipients or the sender of the electronic activity; and

selecting by the one or more processors, the at least one record object included in the set of record objects; and

storing, by the one or more processors, in a data structure, an association between the electronic activity and the at least one record object.

2. The method of claim 1, further comprises retrieving, from one or more second processors, a first plurality of record objects corresponding to a first system of record of a first data source provider and a second plurality of record objects corresponding to a second system of record of a second data source provider.

3. The method of claim 1,

wherein matching, by the one or more processors, the electronic activity to at least one node profile of the plurality of node profiles includes identifying, by the one or more processors, a first node profile of the plurality of node profiles associated with the sender of the electronic activity;

and

identifying, by the one or more processors, a first set of record objects of the plurality of record objects of the one or more systems of record based on the first node profile.

4. The method of claim 3, further comprising:

wherein matching, by the one or more processors, the electronic activity to at least one node profile of the plurality of node profiles includes identifying, by the one or more processors, a second node profile of the plurality of node profiles associated with the recipient of the electronic activity;

identifying, by the one or more processors, a second set of record objects of the plurality of record objects of the one or more systems of record based on the second node profile; and

wherein matching the electronic activity to the at least one record object of the plurality of record objects includes matching the electronic activity to the at least one record object based on an intersection of the first set of record objects and the second set of record objects.

5. The method of claim 4, further comprising:

determining, by the one or more processors, a plurality of candidate record objects based on the intersection of the first set of record objects and the second set of record objects;

identifying, by the one or more processors, each of the plurality of candidate record objects as belonging to one of a plurality of record object types; and

wherein matching the electronic activity to the at least one record object includes matching the electronic activity to two or more of the plurality of candidate record objects, each of the two or more of the plurality of candidate record objects having a different record object type.

6. The method of claim 1, wherein identifying the set of record objects comprises:

selecting, by the one or more processors, based on natural language processing, a string in a body of the electronic activity; and

identifying, by the one or more processors, one or more record objects included in the set of record objects based on the string in the body of the electronic activity.

7. The method of claim 1, wherein matching the electronic activity to two or more node profiles of the plurality of node profiles based on determining that the extracted data of the electronic activity and the one or more values of the fields of the two or more node profiles satisfy the node profile matching policy and further comprising:

determining, by the one or more processors, a relationship between two or more node profiles based on the one or more values of the fields of the two or more node profiles; and

assigning, by the one or more processors, one or more tags to the electronic activity based on the relationship between the two or more node profiles.

8. The method of claim 1, further comprising assigning, by the one or more processors, one or more tags to the electronic activity based on i) one or more node profiles associated with the sender or the one or more recipients of the electronic activity;

ii) relationship between the one or more node profiles associated with the sender and the one or more recipients of the electronic activity;

iii) a first string included in a body of the electronic activity;

iv) a second string included in a metadata of the electronic activity;

or v) other electronic activity.

9. The method of claim 8, further comprising:

identifying, by the one or more processors, a first subset of record objects of the plurality of record objects of the one or more systems of record based on one or more tags assigned to the electronic activity; and

wherein matching the electronic activity to the at least one record object includes matching the electronic activity to at least one of the first subset of record objects of the plurality of record objects based on the one or more tags assigned to the electronic activity.

10. The method of claim 1, further comprising:

identifying, by the one or more processors, a sender and one or more recipients of the electronic activity of the plurality of electronic activities; and

wherein matching the electronic activity to at least one node profile of the plurality of node profiles includes matching the electronic activity to a node profile of the sender and a node profile of each of the one or more recipients.

11. The method of claim 10, further comprising:

selecting, by the one or more processors, at least one record object of the set of record objects based on a node field value of the node profile of the sender; and

selecting, by the one or more processors, at least one record object of the set of record objects based on a corresponding node field value of the node profile of at least one recipient.

12. The method of claim 1, further comprising:

identifying, by the one or more processors, a subset of the plurality of electronic activities matched to a first record object of the plurality of record objects;

identifying, by the one or more processors, for each electronic activity of the subset of the plurality of electronic activities matched to the first record object, one or more node profiles that are matched with the electronic activity; and

determining, by the one or more processors, a stage of the first record object based on the identified one or more node profiles of each of the subset of electronic activities.

13. The method of claim 1, further comprising:

identifying, by the one or more processors, a subset of the plurality of electronic activities matched to a first record object of the plurality of record objects; and

determining, by the one or more processors, a stage of the first record object based on tags assigned to one or more electronic activities of the subset of electronic activities.

14. The method of claim 1, further comprising:

identifying, by the one or more processors, for a record object, a corresponding record object maintained by a second processor;

determining, by the one or more processors, a plurality of processor assigned stages associated with the corresponding record object, each stage of the plurality of processor assigned stages indicating a proximity to completion of an event;

mapping, by the one or more processors, each processor assigned stage of the corresponding record object to a stage of a plurality of system assigned stages of the record object.

15. The method of claim 1, further comprises retrieving, from one or more second processors, a first plurality of record objects corresponding to a first system of record of a first data source provider and second plurality of record objects corresponding to a second system of record of a second data source provider.

16. The method of claim 1, further comprising:

identifying, by the one or more processors, a sender of the electronic activity of the plurality of electronic activities;

selecting, by the one or more processors, a first node profile of the plurality of node profiles associated with the sender of the electronic activity; and

identifying, by the one or more processors, a first set of record objects of the plurality of record objects of the one or more systems of record based on the first node profile.

17. The method of claim 3, further comprising:

identifying, by the one or more processors, a recipient of the electronic activity of the plurality of electronic activities;

selecting, by the one or more processors, a second node profile of the plurality of node profiles associated with the recipient of the electronic activity;

identifying, by the one or more processors, a second set of record objects of the plurality of record objects of the one or more systems of record based on the second node profile; and

wherein matching the electronic activity to at least one record object of the plurality of record objects includes matching the electronic activity to the at least one record object of the plurality of record objects based on an intersection of the first set of record objects and the second set of record objects.

18. The method of claim 4, further comprising:

determining, by the one or more processors, a plurality of candidate record objects based on the intersection of the first set of record objects and the second set of record objects;

identifying, by the one or more processors, each of the plurality of candidate record objects as belonging to one of a plurality of record object types; and

wherein matching the electronic activity to at least one record object of the plurality of record objects includes matching the electronic activity to two or more of the plurality of candidate record objects, each of the two or more of the plurality of candidate record objects having a different record object type.

19. The method of claim 1, wherein matching the electronic activity to at least one record object includes matching the electronic activity to the at least one record object based on a matching policy that includes a first set of rules for identifying candidate record objects based on one or more recipients of the electronic activity and a second set of rules for identifying candidate record objects based on the sender of the electronic activity, wherein matching the electronic activity to the at least one record object further comprises:

identifying, by the one or more processors, responsive to applying the policy including the first set of rules for identifying candidate record objects based on one or more recipients of the electronic activity, a first set of candidate record objects to which to match the electronic activity, each candidate record object of the first set identified based on the one or more recipients of the electronic activity;

identifying, by the one or more processors, responsive to applying the second policy including the second set of rules for identifying candidate record objects based on the sender of the electronic activity, a second set of candidate record objects to which to match the electronic activity, each candidate record object of the second set identified based on the sender of the electronic activity; and

selecting by the one or more processors, at least one candidate record object included in both the first set of candidate record objects and the second set of candidate record objects to match to the electronic activity based on the first set of rules and the second set of rules of the matching policy.

20. A system comprising:

one or more processors;

a memory coupled to the one or more processors, the one or more processors configured to;

maintain a plurality of node profiles corresponding to a plurality of unique entities, each node profile including a plurality of fields, each field of the plurality of fields including one or more node field values;

access a plurality of electronic activities transmitted or received via electronic accounts associated with one or more data source providers, the one or more processors configured to update the plurality of node profiles using the plurality of electronic activities;

maintain a plurality of record objects of one or more systems of record, each record object of the plurality of record objects comprising one or more object fields having one or more object field values;

extract data included in an electronic activity of the plurality of electronic activities;

match the electronic activity to at least one node profile of the plurality of node profiles based on determining that the extracted data of the electronic activity and the one or more values of the fields of the at least one node profile satisfy a node profile matching policy;

match the electronic activity to at least one record object of the plurality of record objects based on the extracted data of the electronic activity and object values of the at least one record object, wherein to match the electronic activity, the one or more processors are configured to;

identify, responsive to applying at least one matching policy of a plurality of matching policies for identifying record objects based on one or more recipients of the electronic activity and a sender of the electronic activity, a set of record objects with which to match the electronic activity, each record object of the set identified based on the one or more recipients or the sender of the electronic activity; and

select the at least one record object included in the set of record objects; and

store, in a data structure, an association between the electronic activity and the at least one record object.

21. The system of claim 20, wherein the one or more processors are further configured to retrieve a first plurality of record objects corresponding to a first system of record of a first data source provider and second plurality of record objects corresponding to a second system of record of a second data source provider.

22. The system of claim 20, wherein

to match the electronic activity to at least one node profile of the plurality of node profiles, the one o more processors are configured to identify a first node profile of the plurality of node profiles associated with the sender of the electronic activity;

and wherein the one or more processors are further configured to identify a first set of record objects of the plurality of record objects of the one or more systems of record based on the first node profile.

23. The system of claim 22, wherein

to match the electronic activity to the at least one node profile, the one or more processors are configured to identify a second node profile of the plurality of node profiles associated with the recipient of the electronic activity;

identify a second set of record objects of the plurality of record objects of the one or more systems of record based on the second node profile; and

wherein to match the electronic activity to the at least one record object of the plurality of record objects, the one or more processors are further configured to match the electronic activity to the at least one record object based on an intersection of the first set of record objects and the second set of record objects.

24. The system of claim 20, wherein each node field value of the one or more node field values corresponds to a respective value data structure, each respective value data structure including one or more entries corresponding to respective one or more data points that support a corresponding node field value of the respective value data structure and wherein the one or more processors are further configured to:

determine, for at least one data point of the one or more data points of a value of a field of the node profile, a contribution score of the data point based on a time corresponding to when the data point was generated or updated; and

generate, a confidence score of the value of the field of the node profile based on the contribution score of the data point.

25. The system of claim 24, wherein the one or more processors are further configured to match the electronic activity to the at least one node profile of the plurality of node profiles based on the confidence score of the value of the field of the at least one node profile.

26. A method comprising:

maintaining, by one or more processors, a plurality of node profiles corresponding to a plurality of unique entities, each node profile including a plurality of fields, each field of the plurality of fields including one or more value data structures, each value data structure of the one or more value data structures including a node field value and one or more entries corresponding to respective one or more data points that support the node field value of the value data structure, at least data point of the one or more data points having a contribution score based on a time corresponding to when the data point was generated or updated, the contribution score based on a trust score assigned to a source of the data point, the trust score determined based on a type of source of the data point;

accessing, by the one or more processors, a plurality of electronic activities transmitted or received via electronic accounts associated with one or more data source providers, the one or more processors configured to update the plurality of node profiles using the plurality of electronic activities;

maintaining, by the one or more processors, a plurality of record objects of one or more systems of record, each record object of the plurality of record objects comprising one or more object fields having one or more object field values;

extracting, by the one or more processors, data included in an electronic activity of the plurality of electronic activities;

matching, by the one or more processors, based on the confidence score of the value of the field of the at least one node profile, the electronic activity to at least one node profile of the plurality of node profiles based on determining that the extracted data of the electronic activity and the value of the field of the at least one node profile satisfy a node profile matching policy;

matching, by the one or more processors, the electronic activity to at least one record object of the plurality of record objects based on the extracted data of the electronic activity and object values of the at least one record object; and

storing, by the one or more processors, in a data structure, an association between the electronic activity and the at least one record object.

27. A system comprising:

one or more processors;

a memory coupled to the one or more processors, the one or more processors configured to;

maintain a plurality of node profiles corresponding to a plurality of unique entities, each node profile including a plurality of fields, each field of the plurality of fields including one or more value data structures, each value data structure of the one or more value data structures including a node field value and one or more entries corresponding to respective one or more data points that support the node field value of the value data structure, at least data point of the one or more data points having a contribution score based on a time corresponding to when the data point was generated or updated, the contribution score based on a trust score assigned to a source of the data point, the trust score determined based on a type of source of the data point;

access a plurality of electronic activities transmitted or received via electronic accounts associated with one or more data source providers, the one or more processors configured to update the plurality of node profiles using the plurality of electronic activities;

maintain a plurality of record objects of one or more systems of record, each record object of the plurality of record objects comprising one or more object fields having one or more object field values;

extract data included in an electronic activity of the plurality of electronic activities;

match, based on the confidence score of the value of the field of the at least one node profile, the electronic activity to at least one node profile of the plurality of node profiles based on determining that the extracted data of the electronic activity and the value of the field of the at least one node profile satisfy a node profile matching policy;

match the electronic activity to at least one record object of the plurality of record objects based on the extracted data of the electronic activity and object values of the at least one record object; and

store, in a data structure, an association between the electronic activity and the at least one record object.

28. The system of claim 27, wherein the one or more processors are further configured to retrieve a first plurality of record objects corresponding to a first system of record of a first data source provider and second plurality of record objects corresponding to a second system of record of a second data source provider.

29. The system of claim 27, wherein the one or more processors are further configured to:

identify a sender of the electronic activity of the plurality of electronic activities;

select a first node profile of the plurality of node profiles associated with the sender of the electronic activity; and

identify a first set of record objects of the plurality of record objects of the one or more systems of record based on the first node profile.

30. The system of claim 29, wherein the one or more processors are further configured to:

identify a recipient of the electronic activity of the plurality of electronic activities;

select a second node profile of the plurality of node profiles associated with the recipient of the electronic activity;

identify a second set of record objects of the plurality of record objects of the one or more systems of record based on the second node profile; and

wherein to match the electronic activity to at least one record object of the plurality of record objects, the one or more processors are further configured to match the electronic activity to the at least one record object of the plurality of record objects based on an intersection of the first set of record objects and the second set of record objects.