System and method for analyzing and utilizing data, by executing complex analytical models in real time

• US 6,965,886 B2
• Filed: 11/01/2001
• Issued: 11/15/2005
• Est. Priority Date: 11/01/2001
• Status: Expired due to Term

• Current Assignee: Actimize Limited (Nice Ltd)
• Original Assignee: Actimize Limited (Nice Ltd)
• Inventors: Peer, Boaz, Govrin, David, Sosna, David, Greenberg, Guy
• Primary Examiner(s): DAVIS, GEORGE B
• Application Number:
  US09/985,078
• Publication Number:
  US 20030084053A1
• Time in Patent Office: 1,475 Days
• Field of Search: 706/45, 707/2, 709/26, 709/223
• US Class Current: 706/45
• CPC Class Codes: G06F 16/283 Multi-dimensional databases or data warehouses, e.g. MOLAP or ROLAP
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: Y10S 707/99932 Access augmentation or optimizing

Abstract

A system and method for collecting, filtering, analyzing, distributing and effectively utilizing highly relevant events (such as key business events) in real time, from huge quantities of data. The present invention analyzes both historic and real-time data stemming from operational activity, by interfacing with internal data repositories (such as Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM)), external data sources (such as suppliers and clients), and real time operational systems in order to create an Active Intelligence Platform. This Active Intelligence Platform is positioned as a layer between the organization'"'"'s data sources and its applications, monitoring inputs and relaying only the important data items to the relevant individuals and/or systems. This allows individuals and systems to respond immediately and effectively to key events.

Claims

1. A platform for identifying key events from a plurality of data sources, according to user-defined rules, and delivering actionable messages of these events to a relevant target using real time analytics, comprising:

i. a data pump layer, for capturing and loading data into the platform, from a plurality of external data sources;

ii. a feeder component for filtering said data, and routing relevant said data;

iii. a multi dimensional parametric data structure (MDPDS) component, for aggregating and storing said data routed by said feeder component;

iv. a solver component for filtering said data from said MDPDS, according to user defined rules, in order to determine events;

v. a matcher component for matching said key events with target addresses, and transferring said events into user readable messages; and

vi. a distributor component for distributing said messages to said target addresses in real time.

2. The platform of claim 1, wherein said data pump layer includes:

a. at least one loader driver for loading static data from external data sources; and

b. at least one listener adaptor for capturing external messages from a plurality of messaging systems.

3. The platform of claim 1, wherein said MDPDS component is a multi dimensional data structure that holds a minimal set of data necessary to solve pre-defined integrated analytical rules, said data includes:

a) dimensions, for holding descriptive information about analysis dimensions; and

b) parameters, for holding a plurality of accumulative data types for analyzing said data.

4. The platform of claim 1, wherein said matcher component includes a matching engine, said matching engine:

I. categorizes said data into small hierarchical communities, for matching data to targets in heterogeneous communities; and

II. categorizes said data into dimension based communities, for matching data to targets in homogeneous communities.

5. The platform of claim 1, wherein said distributor component furthermore:

I) transforms events into human readable messages; and

II) distributes said events to at least one target address, using a plurality of communications mediums.

6. A method of matching patterns in data to pre-defined events, and delivering actionable messages of these events to at least one relevant target in real time, comprising the steps of:

i. defining key events to be detected within a data environment, according to user determined rules;

ii. detecting relevant records from at least one external data source, and discarding irrelevant records;

iii. analyzing said relevant records;

iv. recognizing impact of said records according to said definitions of key events, in order to match said records to at least one target address; and

v. targeting significant said matches, by distributing said events as messages to said at least one relevant recipient, using a plurality of communications mediums.

7. The method of claim 6, wherein said detecting further comprises:

i- loading static data from batch data sources, by a loader driver; and

ii- capturing dynamic data from messaging systems/online sources, by a listener adaptor.

8. The method of claim 6, wherein said analyzing further comprises:

i) monitoring values of said records;

ii) routing each said record according to relevant parameters; and

iii) where necessary, changing value of said record.

9. The method of claim 6, wherein said recognizing further comprises:

I. evaluating said data in terms of monitored values;

II. evaluating said data in terms of additional attributes of the dimensions involved;

III. evaluating said data in terms of additional information that exists in an information system;

IV. triggering a distribution function; and

V. sending a message with said data to at least one relevant target address.

10. The method of claim 6, wherein said targeting further comprises:

I) comparing the context of each said triggered event with context attributes of each member of a community attached to each said event, by a matching engine; and

II) turning said event into an action message, by a distribution engine.

11. The method of claim 10, further comprising:

I- generating at least one short message by using at least one pre-defined template;

II- sending said at least one message to relevant recipients using a communications medium selected from the group of mediums consisting of E-mail, SMS, Fax, instant messaging, Database Transactions, etc.

III- generating reports containing tabular enriched information using templates;

IV- creating triggers for message distribution functions; and

V- distributing said message to at least one recipient.

12. The method of claim 6, where said parameters are used for a plurality of rules.

13. The method of claim 6, wherein said targeting uses context sensitive routing.