DATA MANAGEMENT

A need for improved management & administration of a practice

DATA MANAGEMENT:
ENSURING INTEGRITY

Administering projects improves delivery

PRACTICE REGULATES MANAGED OPERATIONS
Problems cannot be solved by same thinking that created them

Practice Management in an organization is a measured realization of shared services groups, that a well defined administrative function is required to regulate the intake, servicing, implementation, disposition, approval & delivery of architecture services to meet corporate & enterprise project needs. While architecture has become a norm within technology providers, regulation requires its intervention to ensure all policy, standards & compliance are satisfied. This office seamlessly unites architecture & its servicing clients, giving it a well deserved authority to direct, review, approve & enforce policies upheld by the enterprise & requiring external parties to adhere to its governance responsibilities.

ESSENTIALS OF DATA MANAGEMENT

INTEGRITY
Onboard service requests, prioritize, assign resources
STANDARDS
Use standardized artifacts for uniformed processing
ENGAGEMENT
Open access to engagement process for seamless processing
POLICY
Track progress & measure adherence to enterprise policy
GOVERNANCE
Facilitates review & approval of architectural activities
PATTERNS
Models designed to aid in building compatible solutions
ROADMAP
Direction & drive to achieve compliance goals
REPORTING
Measurable performance & project based reporting

TBD

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DATA CAPTURE PROCESS

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INGEST
Data ingestion is the proces of obtaining & importing data fro immediate use or to persist in some data storage. APIs aloows for images, artifacts, emails & any document to be converted into digital format.
PRE-PROCESS
This process is used in data mining to transform raw data into an understandaable format. Templates, layouts pre-processors also split, stitch & corp image segments or documents together.
CATALOG
Intelligent logic detects & identifies places, logos, people, ojects, data segments & related regions against learned variables with established classification models.
CONSUME
Seamlessly integrate character processors or OCR engines combined with machine learning platforms for the best extraction & accurate results.

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Standards

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Education

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Enforcement

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