Data governance is between 80-95% communication. Data quality depends on fitness for intended use in operations, decision making, and planning. Recent increases in data misuse and speculation underscore the importance of governance. The document discusses enterprise data strategy, modeling business processes and flows, and ensuring data quality, security, and regulatory compliance across industries.

1. E D W - Strategy, Governance, Business Intelligence and Information Security
“Data governance is between 80 and 95 percent communication.”
Data are of high quality "if they are fit for their intended uses in operations, decision making and planning."
Jaimon Jose Mappilaparampil
Recent data misuse, abuse and speculations have increased and “among other things,
“ceteris paribus”.”©
JJMaJne2016® Page 1 of 10
**This is an example and not a fictitious product or any company’s or owner’s advertisement for their product or for any
gains. The Demographics, B2B, B2P, B2G, P2G, ETL, IVA3 controls Information Governance and Security for discussion.
ACH Volume Increases 6.1 Percent in 1st Quarter 2016 The Automated Clearing House Network grew by
6.1 percent in the 1st Quarter 2016 compared to a year ago, according to NACHA statistics.
Approximately 5.01 billion transactions moving approximately $10.6 trillion were conducted during the
quarter. These figures represent changes of 6,1 percent and 4.5 percent, respectively, compared to the
same quarter of 2015. There were 2.88 billion debits and 2.13 billion credits, for a total of 5.01 billion.
The statistics include commercial inter-bank and government transactions, but not “on-us” transactions.

2. E D W - Strategy, Governance, Business Intelligence and Information Security
“Data governance is between 80 and 95 percent communication.”
Data are of high quality "if they are fit for their intended uses in operations, decision making and planning."
Jaimon Jose Mappilaparampil
Recent data misuse, abuse and speculations have increased and “among other things,
“ceteris paribus”.”©
JJMaJne2016® Page 2 of 10
Enterprise Architect (Example used: Sybase PowerDesigner). To Engineer any new or to reengineer or
update of business laws (ex: BSA/AML, SOX, Basel, Dodd-Frank Act etc.) on existing massively parallel
and concurrently processing Relational Database Management Systems. Examples: U. S. Tax Returns
U. S. Banking, U. S. ACH, POS/S, Securities, Commodities, Bonds, Stocks, Health Care, Manufacturing
or any Operational Online Transactional Systems that close daily to balance the books (General Ledger)
to report (average daily balance, minimum daily balance, taxonomy, variance etc…) appropriately to the
stake holders, regulatory (depository institution stress testing) and U. S. publically traded/trusted
corporations, companies and oversight agencies, bureaus, authorities and commissions.
1. An Entity Relationship Model and one of the input methods (CDM/LDM, PDM and GUI for data input).
To engineer/reengineer operational data store to record any daily online transactions and to compute
daily, weekly, monthly, quarterly and annual account receivables, payables, general ledger balances
and even to derive RPM “stress testing” variables of U. S. depository institutions and to incorporate
BSA/AML, Basel II and III accords and SEC/CEC reporting to meet SOX, Dodd-Frank, American
Recovery and Reinvestment Act etc.
In identifying the correct data source, validation and authentication should be a prerequisite for any
business processes, change request management and customer relationship management (centralized
incident reporting, tracking and resolution system).
Business in U.S. comprise from products/service, design/engineering, resource use, production, finance,
accountability, taxonomy, compliance/reporting, sales, delivery, transportation, marketing, maintenance,
disposal, salvage, productive services etc.. Electronic Enterprise Data Interchange within organization

3. E D W - Strategy, Governance, Business Intelligence and Information Security
“Data governance is between 80 and 95 percent communication.”
Data are of high quality "if they are fit for their intended uses in operations, decision making and planning."
Jaimon Jose Mappilaparampil
Recent data misuse, abuse and speculations have increased and “among other things,
“ceteris paribus”.”©
JJMaJne2016® Page 3 of 10
and external entities is the way for the future while adhering to all security, privacy, disclosure, intellectual
property rights, security and safety standards.®
2. The Electronic Data Storage Model (The Electronic Data Filing Cabinets)
Business Operations has processes, procedures, functions and steps associated and each one has
relative interactive or correlative demographic, economic, social, geographic and or environmental
impacts or risks associated while using massively parallel processing databases using fault tolerant, auto
mirroring hardware(RAID with RISC and RAIM), software and network (physical and wireless).
3. Project Management: resources scheduling, time lines, milestones, performance and delay tracking.
The selection, resource allocation, work distribution, schedule and implementation require talent,
commitment, trustworthiness and focus on achievement and goal oriented team of human capital without
self-centeredness. A general purpose change management artifacts matrix. It varies with enterprise’s
business vision, mission, purpose, goals and the change management focus area.
The change management focus area needed to be selected in collaboration with people of high integrity
and public service commitment. Many round table as well as town hall meetings with the concerned
parties/citizens and the area in focus needed to be discussed in detail. Risk assessment needed to be
done upfront. We have the technology, but how do we accomplish it is the question? For example:
“CLOUD, RAID, RISC, SOLID STATE, 128 bit processor, ops (not yet), encryption to file systems etc.”,
are capable of doing things beyond human limits. 128 bit = 2
128 Processing Power
. ITMRA, SOX and other IT
investment guidelines and protocols may save a few $$$ s for the future. CLOUD without appropriate “in
and out” data security controls can be very detrimental to mission critical systems.
THE DATA GRIDS

4. E D W - Strategy, Governance, Business Intelligence and Information Security
“Data governance is between 80 and 95 percent communication.”
Data are of high quality "if they are fit for their intended uses in operations, decision making and planning."
Jaimon Jose Mappilaparampil
Recent data misuse, abuse and speculations have increased and “among other things,
“ceteris paribus”.”©
JJMaJne2016® Page 4 of 10
4. A high level business flow “of the people, by the people, for the people, shall not perish from the
earth”. And it will never.
5. FEDERAL ENTERPRISE ARCHITECTURE FRAMEWORK ARTIFACTS MATRIX
Depository Institutions
Mortgage
Loans
Trust, Brokerage and Fiduciary Services
Credit, Equity, Credit Lines, Derivatives, Differentials
LMSB Business Corporations
SBSE Businesses
Sole Proprietary Businesses
Partnership Firms
Fishing, Farming, Forestry, Mining etc..
Education, Tax Exempt &
Government Entities
1. Wages and Investment
2. Capital Gains
3. All other income PUBLIC FINANCE AND ADMINISTRATION
ALL INSUARANCE GROUPS
ALL HEALTH CARE
ALL NATURAL R. & COM.
Pension, Interest Bearing Funds,
Bonds, Notes, Foreign Reserves,
Securities etc…
ALL INFRASTRUCTURES

5. E D W - Strategy, Governance, Business Intelligence and Information Security
“Data governance is between 80 and 95 percent communication.”
Data are of high quality "if they are fit for their intended uses in operations, decision making and planning."
Jaimon Jose Mappilaparampil
Recent data misuse, abuse and speculations have increased and “among other things,
“ceteris paribus”.”©
JJMaJne2016® Page 5 of 10
6. The Enterprise Architecture Model with Core SSOT Meta Data, Reference Data and Information
Resources Asset Management, Version Control and Change Management.
7. The Power of ETL/ELT (Extract, Transform Source Data to Scheduled Relational/Column/Value
added Data Grids on Time with scheduler and with ABC management control techniques).
THE TARGET DATA GRIDS/ELECTRONIC FILING CABINETS WITH OR WITHOUT LOCKS
Source Data Identify, Validation,
Authentication and Qualification
All required transformations and check sum procedures before target transmission

6. E D W - Strategy, Governance, Business Intelligence and Information Security
“Data governance is between 80 and 95 percent communication.”
Data are of high quality "if they are fit for their intended uses in operations, decision making and planning."
Jaimon Jose Mappilaparampil
Recent data misuse, abuse and speculations have increased and “among other things,
“ceteris paribus”.”©
JJMaJne2016® Page 6 of 10
There are many other proprietary Operational Data Storage and analytical tools and reporting and dash
board tools like Tableau, Qlick View etc. All of them needs real data (most of them transactional) and
mathematical (all finite branches including the trigonometry, calculus, and statistics) calculations to
formulate accurate data for any decision making including any predictive analysis.
I am able to observe, orient, analyze and infer the Business Operations of The Treasury, Banking,
Insurance, Healthcare, Education and Manufacturing etc. to formulate the ideal change management and
collaborate and team work appropriately for a better solution befitting the business interest of the
organization.
I can associate appropriate methods, approaches, best practices and tools for the appropriate capacity
and scalability with Business Intelligence for better business and growth.
8. The U. S. Pharmacy Distribution and Patient-Administered and Outpatient Prescription Order, Drugs,
Finance, Fee and Data Flow.
9. MS SQL Server Management Studio for governing, manipulating, managing, securing, backing
up and troubleshooting all aspects of data inside SQL server or any ODBC database

7. E D W - Strategy, Governance, Business Intelligence and Information Security
“Data governance is between 80 and 95 percent communication.”
Data are of high quality "if they are fit for their intended uses in operations, decision making and planning."
Jaimon Jose Mappilaparampil
Recent data misuse, abuse and speculations have increased and “among other things,
“ceteris paribus”.”©
JJMaJne2016® Page 7 of 10
10. Connecting to any ODBC Database and doing any sql query as required for reports and dash
boards, including the joins of data sets for various finite mathematical computations, display
and dissemination of accurate data for decision making.
11. Build and Deploy any .net framework application and can do with other tools too.

8. E D W - Strategy, Governance, Business Intelligence and Information Security
“Data governance is between 80 and 95 percent communication.”
Data are of high quality "if they are fit for their intended uses in operations, decision making and planning."
Jaimon Jose Mappilaparampil
Recent data misuse, abuse and speculations have increased and “among other things,
“ceteris paribus”.”©
JJMaJne2016® Page 8 of 10
A systematic and customer satisfaction oriented business processes require precise data and accuracy of
information due to the data sharing aspects of data across the enterprise as well as with other agencies,
bureaus and oversights and external authorities and entities. In order to achieve the full extent of data
protection, security and sharing of data for an appropriate business growth, the Enterprise should have
data governance perspectives, policies and procedures. And it should be from data identification,
acquisition and validation, storage, data/information flow, work flow, use, reporting and regulatory
compliance irrespective of the data processing techniques, which will vary not only with the size of the
organization’s subject areas, but with the desired objectives too.
A transparent Business Operations and Process Model and Enterprise Data Warehouse with Electronic
Enterprise Data Interchange within organization and external entities is the way for the future while
adhering to all security, privacy, disclosure, intellectual property rights, security and safety standards.®
12. Use any language that is portable and SOA - SOAP with Web services (other tools too)
An area needed to be identified and selected for piloting. A realistic study and inventory of the current
operations, processes, locations, pieces of equipment, software, and communication devises, protocols,
security, encryption and disaster recovery is required before any change process implementation.
Centralized incident tracking and problem resolution needed to be implemented before any thinking.
13. SharePoint for web design and documentation

9. E D W - Strategy, Governance, Business Intelligence and Information Security
“Data governance is between 80 and 95 percent communication.”
Data are of high quality "if they are fit for their intended uses in operations, decision making and planning."
Jaimon Jose Mappilaparampil
Recent data misuse, abuse and speculations have increased and “among other things,
“ceteris paribus”.”©
JJMaJne2016® Page 9 of 10
14. The Adobe Acrobat – enterprise forms automation, electronic data capture and electronic
library etc…
15. The Ebercadero Studio – A tool for Enterprise Architecture and Data Visualization
16. SOX, ITMRA-Clinger - Cohen Act Compliance
Business in U.S. comprise from products/service, design, resource use, cost, facility, utility,
production, pricing, finance, accountability, taxonomy, compliance/reporting, marketing, sales,
delivery, transportation, marketing, maintenance, disposal, salvage, productive services, TGM,
TQM, TCRM etc.. Electronic Enterprise Data Interchange within organization and external entities
is the way for the future while adhering to all security, privacy, disclosure, intellectual property
rights, security and safety standards.
Business Operations has processes, procedures, functions and steps associated and each one
has relative interactive or correlative demographic, economic, geographic and or environmental

10. E D W - Strategy, Governance, Business Intelligence and Information Security
“Data governance is between 80 and 95 percent communication.”
Data are of high quality "if they are fit for their intended uses in operations, decision making and planning."
Jaimon Jose Mappilaparampil
Recent data misuse, abuse and speculations have increased and “among other things,
“ceteris paribus”.”©
JJMaJne2016® Page 10 of 10
impacts or risks associated while using massively parallel processing databases using fault
tolerant, auto mirroring hardware, software and network.
A. THE ENTERPRISE DATA WARE HOUSE REQUIREMENTS
1. Unix, Windows or other Server/Netware Operating Systems with following components --
File, Application, Mail, Print, Web, Fax, Remote, Proxy, Telephony servers etc.
2. Enterprise Architect Tools: PowerDesigner, ErWin, Rational Suite
3. RDBMS: Teradata, Netezza, InterBase, Oracle, DB2, SQL Server, UDB, others
4. ETL Tool: Informatica, DataStage, SSIS, OWB, Altova others
5. BI Suite: Cognos, B Objects, MSSRS, WebFOCUS, Tablaue, Qlick View, others
6. OLAP: Oracle, SSAS, Hyperion, others; Enterprise Data Management: OEM, TOAD,
MSSMS, TIVOLI, CONTROL CENTER etc..
7. WebServer: WebSphere/Infosphere, IIS, Apache, others
8. TCP/IP Network with LAN/WAN/VPN with LDAP, NDS or ADS, topology, media,
connectivity, protocol, encryption, back up and business continuity plans with SDR.
B. THE BEST METHODS, APPROACHES AND BEST PRACTICES AND LOT MORE FOR
DISCUSSION….
1. SDLC, AGILE, DSDM, SCRUM and Cradle to Grave and CR, CRM and Continuous
Improvement
2. Inmon Vs Kimball Vs Value Added...
3. Data Lake... Why? Data Quality QA1-QA2-QA3...Why? EDW vs EDM...Why?
4. Meta Data Management...Why?
5. Bus Architecture…Why?
6. Star vs Snow Flakes Schema...Why?
7. Slowly Changing Dimensions...Why?
8. Relational vs Column Based...Why?
9. Enterprise Data Governance...Why?
10. Enterprise Data Security...Why? TCP/IP V4 vs V6 Why?
11. Big Data..? Data Retention..? Storage Types..??
12. Backup – incremental or differential or in-sync sustained Disaster Recovery?
In conclusion, it is imperative to have the OSI/DoD layers of data/information asset security,
privacy and inadvertent disclosure of PII (Sensitive and Classified) and Intellectual Property
protection for U. S. Economic Intelligence and Interests for the U. S. fiscal future.
THE ENTERPRISE DATA DISSEMINATION PROCESSES
WITH IVA3 CONTROLS