SOLUTIONS2021-03-30T09:56:48-05:00

WhamTech Solutions

A security-centric distributed virtual data, master data and graph data management, and analytics technology for more customer/patient-centric solutions

Organizations are receiving an increasingly high VOLUME of data from an increasing number of sources at high VELOCITY in a wide VARIETY of formats, i.e., the three Vs of Big Data, and they recognize that this data is a prime asset that they need to leverage to improve their business. The other two Vs of Big Data of VERACITY/governance and VALUE continue to elude organizations, particularly in context with the other three Vs of Big Data.  Organizations are under pressure to reduce cost, increase revenue, meet regulatory requirements and industry guidelines, and prevent data loss—all while learning more about their customers/patients and improving the customer/patient experience. WhamTech SmartData Fabric® is a unique option to support an organization’s plans and enables the most effective, high quality data solutions compared to conventional centralized data management and integration approaches.

Enables more highly advanced capabilities than conventional Data Federation and integration technologies:

Address data management fundamentals upfront (discovery, profiling, classification, semantic mapping, security, quality, master data management/master patient index and link mapping/relationships capture for link analysis/graph database). Enable single customer/patient views of all operational/transactional data, pre-aggregations, pre-calculations and pre-joins, high performance parallel distributed processing, Event Processing, event correlation,and supporting almost any and all applications through standard drivers, APIs, Web/data services, etc., and query languages (SQL, PL SQL and others).

SMARTDATA FABRIC® SOLUTIONS IN DETAIL

SOL1: Automated Data Discovery and Classification (ADDC)2018-10-05T18:48:26-05:00

Key Features:

(KF01) Discovery of networks assets and devices, processes, apps, users, data sources and data
(KF02) Raw indexes on discovered data accessed by self-instantiating EIQ TurboAdapter(s)
(KF03) Data profiling using tree part of raw indexes
(KF04) Distributed metadata repository
(KF05) Data security and classification

SOL2: Improved query performance from a single data source/database/data warehouse, e.g., Cassandra, HBase, IBM VSAM mainframe files and Oracle®2018-10-05T18:48:58-05:00

Key Features:

(KF06) Changed data capture (CDC)
(KF07) Structured, unstructured and semi-structured data parser/tokenizer
(KF08) Data transformation for data quality
(KF09) Data transformation for data masking, tokenization and encryption (format-preserving)
(KF10) Entity extraction using open source GATE, i.e., WhamEE™
(KF11) Other text analytics, e.g., categorization
(KF12) Production indexes accessed by EIQ TurboAdapter(s)
(KF13) Indexed views for pre-aggregations, pre-calculations and pre-joins
(KF 14) High performance parallel query processing

SOL3: Basic virtual integration of multiple data sources2018-10-05T18:57:03-05:00

Key Features:

(KF15) Data transformation for standardization
(KF16) EIQ SuperAdapters and EIQ Federation Server(s)
(KF17) Mapping to a standard data view(s)

SOL4: Virtual integration of multiple data sources for a single customer/patient view and other entity views2018-10-05T18:57:25-05:00

Key Features:

(KF18) Link mapping and Link Indexes™
(KF19) Master data management – seamless and automatic integration – not a separate system

SOL4.1: Selective indexing and queries on own customers/patients data from sources that contain other customers/patients data2018-10-05T18:57:47-05:00

Key Features:

(KF20) Selective CDC – only specific data from a shared source – cannot even read other data

SOL4.2: Interactive virtual link analysis and visualization for data discovery, social network analysis, social media analytics, fraud detection, money laundering and many other analytics2018-10-05T19:00:46-05:00

Key Features:

(KF21) Link mapping, Link Indexes™ and link visualization (OEM)
(KF22) Social Network Analysis (SNA)
(KF23) Event correlation (automation future work)
(KF24) Anomaly Detection (future work)

SOL4.3: Customer/patient access to own data, regardless of where that data resides – also enables virtual partnering/healthcare networks2018-10-05T19:01:09-05:00

Key Features:

(KF25) Unique logon and password and/or encryption/biometric key

SOL4.3.1: Customer/patient (could be unconscious) provides others/healthcare providers access to own data2018-10-05T19:01:32-05:00

Key Features:

(KF26) Unique logon and password and/or encryption/biometric key (assumes patient could be unconscious) (different from KF25)

SOL4.4: Interoperability, e.g., Health Information Exchange (HIE) and many other applications – can write back to source systems2018-10-05T19:05:45-05:00

Key Features:

(KF27) Application query transform and inverse results data transform back to application (N/A yet)
(KF28) Write back to data sources

SOL4.5: Micro-services Architecture2018-10-05T19:06:10-05:00

Key Features:

(KF29) Catalog of available micro-services, e.g., FHIR REST APIs

SOL4.5.1: Mobile app support through data services2018-10-05T19:06:32-05:00

Key Features:

(KF30) Mobile app platform support

SOL4.6: Event Processing/Driven Architecture2018-10-05T19:06:55-05:00

Key Features:

(KF31) Monitoring and rules-based event processing – currently through WhamTech SDF stored procedures, but may add internal BPM workflows already used for SOL1 ADDC

SOL4.6.1: New BPM-based workflows on legacy data sources through data services2018-10-05T19:07:21-05:00

Key Features:

(KF32) Support for external BPM workflows

SOL4.7: Support for direct (or virtual data mart for) reporting, BI and analytics2018-10-05T19:07:42-05:00

Key Features:

(KF33) Near real-time updateable hierarchical and other indexed views
(KF34) Virtual data mart query construction

SOL4.7.1: Near real-time operational BI dashboards2018-10-05T19:08:04-05:00

Key Features:

Combined KF31 and KF33

SOL4.7.2: Support for Revenue Cycle Management2018-10-05T19:08:27-05:00

Key Features:

Combined KF31, KF33, and KF34

SOL4.8: Virtual Data Warehouse (VDW) across data sources instead of a physical data warehouse, incl. an existing data warehouse2018-10-05T19:09:00-05:00

Key Features:

Use KF17 to create a new relational, NoSQL/flat, ontological schema or more than one simultaneously

SOL4.9: Logical Data Warehouse (LDW) that virtually adds new data sources to an existing data warehouse2018-10-05T19:09:25-05:00

Key Features:

(KF35) Extend existing data warehouse schema – possible to federate from within data warehouse

SOL4.10: Highly curated data provisioning to reporting, BI and analytics Big Data and other analytics2018-10-05T19:09:50-05:00

Key Features:

(KF36) Streaming or incremental results data flow
(KF37) Tag and export data in specified formats, e.g., XML, JSON and delimited and/or write directly to data source

SOL4.11: Virtual graph database and graph visualization2018-10-05T19:10:12-05:00

Key Features:

(KF38) Entity triple semantic model definitions
(KF39) SPARQL and/or OWL to SQL translation (third-party)

SOL4.12: Match prescriptions to diagnoses2018-10-05T19:10:43-05:00

Key Features:

N/A

SOL4.13: Match late-stage cancer critically ill patients with clinical trials (Healthcare-specific)2018-10-05T19:11:04-05:00

Key Features:

N/A

SOL4.14: Patient/Disease/Implant Registry (Healthcare-specific)2018-10-05T19:11:40-05:00

Key Features:

N/A

SOL5: Data security/loss prevention (DLP) – lockdown access to important data as per Forrester’s Zero Trust Data Security Framework2018-10-05T19:12:05-05:00

Key Features:

(KF40) Attribute-level role-based access control (WhamTech or third-party)
(KF41) User authentication (third-party)
(KF42) Encryption, e.g., format-preserving encryption (FPE) (third-party)
(KF43) Blockchain (currently working with, but will require future work to integrate)

Go to Top