SlideShare a Scribd company logo
1 of 10
Download to read offline
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.
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
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
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
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
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
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.
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
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
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

More Related Content

What's hot

Why Master Data Management Projects Fail and what this means for Big Data
Why Master Data Management Projects Fail and what this means for Big DataWhy Master Data Management Projects Fail and what this means for Big Data
Why Master Data Management Projects Fail and what this means for Big DataSam Thomsett
 
The Essential Data Ingredient
The Essential Data IngredientThe Essential Data Ingredient
The Essential Data IngredientRich Cooper
 
Serene Zawaydeh - Big Data -Investment -Wavelets
Serene Zawaydeh - Big Data -Investment -WaveletsSerene Zawaydeh - Big Data -Investment -Wavelets
Serene Zawaydeh - Big Data -Investment -WaveletsSerene Zawaydeh
 
Slow Data Kills Business eBook - Improve the Customer Experience
Slow Data Kills Business eBook - Improve the Customer ExperienceSlow Data Kills Business eBook - Improve the Customer Experience
Slow Data Kills Business eBook - Improve the Customer ExperienceInterSystems
 
The Rise of Big Data and the Chief Data Officer (CDO)
The Rise of Big Data and the Chief Data Officer (CDO)The Rise of Big Data and the Chief Data Officer (CDO)
The Rise of Big Data and the Chief Data Officer (CDO)gcharlesj
 
Big Data is Here for Financial Services White Paper
Big Data is Here for Financial Services White PaperBig Data is Here for Financial Services White Paper
Big Data is Here for Financial Services White PaperExperian
 
NPT July_August 2016 Broader Use of Alt Data 1 page
NPT July_August 2016 Broader Use of Alt Data 1 pageNPT July_August 2016 Broader Use of Alt Data 1 page
NPT July_August 2016 Broader Use of Alt Data 1 pageScott Brackin
 
Aligning Information Insights with the Speed of Business
Aligning Information Insights with the Speed of BusinessAligning Information Insights with the Speed of Business
Aligning Information Insights with the Speed of BusinessCognizant
 
How to Create a Data Culture
How to Create a Data CultureHow to Create a Data Culture
How to Create a Data CultureCognizant
 
Banks Betting on Big Data Analytics and Real-Time Execution to Better Engage ...
Banks Betting on Big Data Analytics and Real-Time Execution to Better Engage ...Banks Betting on Big Data Analytics and Real-Time Execution to Better Engage ...
Banks Betting on Big Data Analytics and Real-Time Execution to Better Engage ...SAP Analytics
 
"Big data in western europe today" Forrester / Xerox 2015
"Big data in western europe today" Forrester / Xerox 2015"Big data in western europe today" Forrester / Xerox 2015
"Big data in western europe today" Forrester / Xerox 2015yann le gigan
 
Vendor strategies: Operational Business Intelligence for Agile Enterprises
Vendor strategies: Operational Business Intelligence for Agile EnterprisesVendor strategies: Operational Business Intelligence for Agile Enterprises
Vendor strategies: Operational Business Intelligence for Agile EnterprisesKishore Jethanandani, MBA, MA, MPhil,
 
Datacenter industry survey 2015
Datacenter industry survey 2015Datacenter industry survey 2015
Datacenter industry survey 2015sher lion
 
Cognizant Making AI Real with Microsoft
Cognizant Making AI Real with MicrosoftCognizant Making AI Real with Microsoft
Cognizant Making AI Real with MicrosoftSteve Lennon
 

What's hot (18)

Why Master Data Management Projects Fail and what this means for Big Data
Why Master Data Management Projects Fail and what this means for Big DataWhy Master Data Management Projects Fail and what this means for Big Data
Why Master Data Management Projects Fail and what this means for Big Data
 
The Essential Data Ingredient
The Essential Data IngredientThe Essential Data Ingredient
The Essential Data Ingredient
 
Serene Zawaydeh - Big Data -Investment -Wavelets
Serene Zawaydeh - Big Data -Investment -WaveletsSerene Zawaydeh - Big Data -Investment -Wavelets
Serene Zawaydeh - Big Data -Investment -Wavelets
 
Slow Data Kills Business eBook - Improve the Customer Experience
Slow Data Kills Business eBook - Improve the Customer ExperienceSlow Data Kills Business eBook - Improve the Customer Experience
Slow Data Kills Business eBook - Improve the Customer Experience
 
Data Man Imperitive
Data Man ImperitiveData Man Imperitive
Data Man Imperitive
 
sb61_10404
sb61_10404sb61_10404
sb61_10404
 
The Rise of Big Data and the Chief Data Officer (CDO)
The Rise of Big Data and the Chief Data Officer (CDO)The Rise of Big Data and the Chief Data Officer (CDO)
The Rise of Big Data and the Chief Data Officer (CDO)
 
Big Data is Here for Financial Services White Paper
Big Data is Here for Financial Services White PaperBig Data is Here for Financial Services White Paper
Big Data is Here for Financial Services White Paper
 
NPT July_August 2016 Broader Use of Alt Data 1 page
NPT July_August 2016 Broader Use of Alt Data 1 pageNPT July_August 2016 Broader Use of Alt Data 1 page
NPT July_August 2016 Broader Use of Alt Data 1 page
 
Aligning Information Insights with the Speed of Business
Aligning Information Insights with the Speed of BusinessAligning Information Insights with the Speed of Business
Aligning Information Insights with the Speed of Business
 
Risk_Technology
Risk_TechnologyRisk_Technology
Risk_Technology
 
How to Create a Data Culture
How to Create a Data CultureHow to Create a Data Culture
How to Create a Data Culture
 
Banks Betting on Big Data Analytics and Real-Time Execution to Better Engage ...
Banks Betting on Big Data Analytics and Real-Time Execution to Better Engage ...Banks Betting on Big Data Analytics and Real-Time Execution to Better Engage ...
Banks Betting on Big Data Analytics and Real-Time Execution to Better Engage ...
 
"Big data in western europe today" Forrester / Xerox 2015
"Big data in western europe today" Forrester / Xerox 2015"Big data in western europe today" Forrester / Xerox 2015
"Big data in western europe today" Forrester / Xerox 2015
 
Vendor strategies: Operational Business Intelligence for Agile Enterprises
Vendor strategies: Operational Business Intelligence for Agile EnterprisesVendor strategies: Operational Business Intelligence for Agile Enterprises
Vendor strategies: Operational Business Intelligence for Agile Enterprises
 
Datacenter industry survey 2015
Datacenter industry survey 2015Datacenter industry survey 2015
Datacenter industry survey 2015
 
Big data research
Big data researchBig data research
Big data research
 
Cognizant Making AI Real with Microsoft
Cognizant Making AI Real with MicrosoftCognizant Making AI Real with Microsoft
Cognizant Making AI Real with Microsoft
 

Viewers also liked

AFN and Caregiver Disaster Preparedness Plan - Office of Emergency Services
AFN and Caregiver Disaster Preparedness Plan - Office of Emergency ServicesAFN and Caregiver Disaster Preparedness Plan - Office of Emergency Services
AFN and Caregiver Disaster Preparedness Plan - Office of Emergency ServicesVaneza Casimiro
 
SMV Outpatient Zero Suicide Initiative Oct ‘14 to Feb’16
SMV Outpatient Zero Suicide Initiative Oct ‘14 to Feb’16SMV Outpatient Zero Suicide Initiative Oct ‘14 to Feb’16
SMV Outpatient Zero Suicide Initiative Oct ‘14 to Feb’16Vaneza Casimiro
 
Psychiatry Behind Bars: The Young Inmate Profile in Psychiatric Treatment at ...
Psychiatry Behind Bars: The Young Inmate Profile in Psychiatric Treatment at ...Psychiatry Behind Bars: The Young Inmate Profile in Psychiatric Treatment at ...
Psychiatry Behind Bars: The Young Inmate Profile in Psychiatric Treatment at ...Susana Pinto Almeida
 
San Diego Professional Continuing Education Conference on June 10, 2016
San Diego Professional Continuing Education Conference on June 10, 2016San Diego Professional Continuing Education Conference on June 10, 2016
San Diego Professional Continuing Education Conference on June 10, 2016Vaneza Casimiro
 
ALZHEIMER'S SAN DIEGO EDUCATION & PROGRAMS CALENDAR APRIL-JUNE 2016
ALZHEIMER'S SAN DIEGO EDUCATION & PROGRAMS CALENDAR APRIL-JUNE 2016ALZHEIMER'S SAN DIEGO EDUCATION & PROGRAMS CALENDAR APRIL-JUNE 2016
ALZHEIMER'S SAN DIEGO EDUCATION & PROGRAMS CALENDAR APRIL-JUNE 2016Vaneza Casimiro
 
Case Study - Initial XERO set up
Case Study - Initial XERO set upCase Study - Initial XERO set up
Case Study - Initial XERO set upAmily Andrew
 
Monthly Announcements for the Behavioral Health Work Team & the Suicide Preve...
Monthly Announcements for the Behavioral Health Work Team & the Suicide Preve...Monthly Announcements for the Behavioral Health Work Team & the Suicide Preve...
Monthly Announcements for the Behavioral Health Work Team & the Suicide Preve...Vaneza Casimiro
 
NOTICE OF REQUEST FOR PROPOSALS - ACCESSIBLE MINIVANS AND SMALL BUSES FOR ELD...
NOTICE OF REQUEST FOR PROPOSALS - ACCESSIBLE MINIVANS AND SMALL BUSES FOR ELD...NOTICE OF REQUEST FOR PROPOSALS - ACCESSIBLE MINIVANS AND SMALL BUSES FOR ELD...
NOTICE OF REQUEST FOR PROPOSALS - ACCESSIBLE MINIVANS AND SMALL BUSES FOR ELD...Vaneza Casimiro
 
SENIOR NETWORKING & ACTION MEETINGS 2016
SENIOR NETWORKING & ACTION MEETINGS 2016SENIOR NETWORKING & ACTION MEETINGS 2016
SENIOR NETWORKING & ACTION MEETINGS 2016Vaneza Casimiro
 
Período Colonial de Panamá
Período Colonial de Panamá Período Colonial de Panamá
Período Colonial de Panamá Ivanna Muñoz
 
Congresso Nacional de Psiquiatria 2012 (Portugal)
Congresso Nacional de Psiquiatria 2012 (Portugal)Congresso Nacional de Psiquiatria 2012 (Portugal)
Congresso Nacional de Psiquiatria 2012 (Portugal)Susana Pinto Almeida
 

Viewers also liked (19)

Comentario mercado. Abril 2016
Comentario mercado. Abril 2016Comentario mercado. Abril 2016
Comentario mercado. Abril 2016
 
Comentario mercado MAYO 2016
Comentario mercado MAYO 2016Comentario mercado MAYO 2016
Comentario mercado MAYO 2016
 
AFN and Caregiver Disaster Preparedness Plan - Office of Emergency Services
AFN and Caregiver Disaster Preparedness Plan - Office of Emergency ServicesAFN and Caregiver Disaster Preparedness Plan - Office of Emergency Services
AFN and Caregiver Disaster Preparedness Plan - Office of Emergency Services
 
SMV Outpatient Zero Suicide Initiative Oct ‘14 to Feb’16
SMV Outpatient Zero Suicide Initiative Oct ‘14 to Feb’16SMV Outpatient Zero Suicide Initiative Oct ‘14 to Feb’16
SMV Outpatient Zero Suicide Initiative Oct ‘14 to Feb’16
 
Psychiatry Behind Bars: The Young Inmate Profile in Psychiatric Treatment at ...
Psychiatry Behind Bars: The Young Inmate Profile in Psychiatric Treatment at ...Psychiatry Behind Bars: The Young Inmate Profile in Psychiatric Treatment at ...
Psychiatry Behind Bars: The Young Inmate Profile in Psychiatric Treatment at ...
 
San Diego Professional Continuing Education Conference on June 10, 2016
San Diego Professional Continuing Education Conference on June 10, 2016San Diego Professional Continuing Education Conference on June 10, 2016
San Diego Professional Continuing Education Conference on June 10, 2016
 
Comentario Mercado MAYO 2016
Comentario Mercado MAYO 2016Comentario Mercado MAYO 2016
Comentario Mercado MAYO 2016
 
Resume
ResumeResume
Resume
 
Comentario mercado mayo 2016
Comentario mercado   mayo 2016Comentario mercado   mayo 2016
Comentario mercado mayo 2016
 
ALZHEIMER'S SAN DIEGO EDUCATION & PROGRAMS CALENDAR APRIL-JUNE 2016
ALZHEIMER'S SAN DIEGO EDUCATION & PROGRAMS CALENDAR APRIL-JUNE 2016ALZHEIMER'S SAN DIEGO EDUCATION & PROGRAMS CALENDAR APRIL-JUNE 2016
ALZHEIMER'S SAN DIEGO EDUCATION & PROGRAMS CALENDAR APRIL-JUNE 2016
 
Case Study - Initial XERO set up
Case Study - Initial XERO set upCase Study - Initial XERO set up
Case Study - Initial XERO set up
 
Monthly Announcements for the Behavioral Health Work Team & the Suicide Preve...
Monthly Announcements for the Behavioral Health Work Team & the Suicide Preve...Monthly Announcements for the Behavioral Health Work Team & the Suicide Preve...
Monthly Announcements for the Behavioral Health Work Team & the Suicide Preve...
 
NOTICE OF REQUEST FOR PROPOSALS - ACCESSIBLE MINIVANS AND SMALL BUSES FOR ELD...
NOTICE OF REQUEST FOR PROPOSALS - ACCESSIBLE MINIVANS AND SMALL BUSES FOR ELD...NOTICE OF REQUEST FOR PROPOSALS - ACCESSIBLE MINIVANS AND SMALL BUSES FOR ELD...
NOTICE OF REQUEST FOR PROPOSALS - ACCESSIBLE MINIVANS AND SMALL BUSES FOR ELD...
 
Moj odmor-iz-snova
Moj odmor-iz-snovaMoj odmor-iz-snova
Moj odmor-iz-snova
 
SENIOR NETWORKING & ACTION MEETINGS 2016
SENIOR NETWORKING & ACTION MEETINGS 2016SENIOR NETWORKING & ACTION MEETINGS 2016
SENIOR NETWORKING & ACTION MEETINGS 2016
 
Adaševci 2
Adaševci 2Adaševci 2
Adaševci 2
 
Período Colonial de Panamá
Período Colonial de Panamá Período Colonial de Panamá
Período Colonial de Panamá
 
Congresso Nacional de Psiquiatria 2012 (Portugal)
Congresso Nacional de Psiquiatria 2012 (Portugal)Congresso Nacional de Psiquiatria 2012 (Portugal)
Congresso Nacional de Psiquiatria 2012 (Portugal)
 
Presentation iso 50001 rev1
Presentation iso 50001 rev1Presentation iso 50001 rev1
Presentation iso 50001 rev1
 

Similar to Edw data strategies visual-overviews

Big Data's Impact on Finance
Big Data's Impact on FinanceBig Data's Impact on Finance
Big Data's Impact on FinanceVish Nandlall
 
Let’s Build a Smarter Planet: Re-thinking the way Insurance works!
Let’s Build aSmarter Planet: Re-thinking the way Insurance works!Let’s Build aSmarter Planet: Re-thinking the way Insurance works!
Let’s Build a Smarter Planet: Re-thinking the way Insurance works!IBMAsean
 
EAI Checklist
EAI ChecklistEAI Checklist
EAI ChecklistIdeba
 
Hadoop training in bangalore
Hadoop training in bangaloreHadoop training in bangalore
Hadoop training in bangaloreappaji intelhunt
 
Evolution of Forensic Data Analytics - EY India
Evolution of Forensic Data Analytics - EY IndiaEvolution of Forensic Data Analytics - EY India
Evolution of Forensic Data Analytics - EY Indiagauravmiishra701
 
Evolution of Forensic Data Analytics - EY India
Evolution of Forensic Data Analytics - EY IndiaEvolution of Forensic Data Analytics - EY India
Evolution of Forensic Data Analytics - EY Indiaaparnatikekar4
 
Evolution of Forensic Data Analytics - EY India
Evolution of Forensic Data Analytics - EY IndiaEvolution of Forensic Data Analytics - EY India
Evolution of Forensic Data Analytics - EY Indiasathish kriishnan
 
Evolution of Forensic Data Analytics - EY India
Evolution of Forensic Data Analytics - EY IndiaEvolution of Forensic Data Analytics - EY India
Evolution of Forensic Data Analytics - EY IndiaNishantSisodiya
 
Evolution of Forensic Data Analytics - EY India
Evolution of Forensic Data Analytics - EY IndiaEvolution of Forensic Data Analytics - EY India
Evolution of Forensic Data Analytics - EY IndiaNina Yadav
 
Evolution of Forensic Data Analytics - EY India
Evolution of Forensic Data Analytics - EY IndiaEvolution of Forensic Data Analytics - EY India
Evolution of Forensic Data Analytics - EY IndiaNishantSisodiya
 
Forensic Technology & Discovery Services: The Intelligent Connection - EY India
Forensic Technology & Discovery Services: The Intelligent Connection - EY IndiaForensic Technology & Discovery Services: The Intelligent Connection - EY India
Forensic Technology & Discovery Services: The Intelligent Connection - EY Indiasathish kriishnan
 
The new ‘A and B’ of the Finance Function: Analytics and Big Data - -Evolutio...
The new ‘A and B’ of the Finance Function: Analytics and Big Data - -Evolutio...The new ‘A and B’ of the Finance Function: Analytics and Big Data - -Evolutio...
The new ‘A and B’ of the Finance Function: Analytics and Big Data - -Evolutio...Balaji Venkat Chellam Iyer
 
Baofortheintelligententerprise
BaofortheintelligententerpriseBaofortheintelligententerprise
BaofortheintelligententerpriseFriedel Jonker
 
Driving Business Performance with effective Enterprise Information Management
Driving Business Performance with effective Enterprise Information ManagementDriving Business Performance with effective Enterprise Information Management
Driving Business Performance with effective Enterprise Information ManagementRay Bachert
 
Eiu collibra transforming data into action-the business outlook for data gove...
Eiu collibra transforming data into action-the business outlook for data gove...Eiu collibra transforming data into action-the business outlook for data gove...
Eiu collibra transforming data into action-the business outlook for data gove...The Economist Media Businesses
 
Board matters quarterly – volume 3
Board matters quarterly – volume 3Board matters quarterly – volume 3
Board matters quarterly – volume 3elithomas202
 
risk management POV Digital (V.08)
risk management POV Digital (V.08)risk management POV Digital (V.08)
risk management POV Digital (V.08)Isabel Viegas
 

Similar to Edw data strategies visual-overviews (20)

CroweHorwath
CroweHorwathCroweHorwath
CroweHorwath
 
Data mining
Data miningData mining
Data mining
 
Big Data's Impact on Finance
Big Data's Impact on FinanceBig Data's Impact on Finance
Big Data's Impact on Finance
 
Let’s Build a Smarter Planet: Re-thinking the way Insurance works!
Let’s Build aSmarter Planet: Re-thinking the way Insurance works!Let’s Build aSmarter Planet: Re-thinking the way Insurance works!
Let’s Build a Smarter Planet: Re-thinking the way Insurance works!
 
EAI Checklist
EAI ChecklistEAI Checklist
EAI Checklist
 
ACCT Paper
ACCT Paper ACCT Paper
ACCT Paper
 
Hadoop training in bangalore
Hadoop training in bangaloreHadoop training in bangalore
Hadoop training in bangalore
 
Evolution of Forensic Data Analytics - EY India
Evolution of Forensic Data Analytics - EY IndiaEvolution of Forensic Data Analytics - EY India
Evolution of Forensic Data Analytics - EY India
 
Evolution of Forensic Data Analytics - EY India
Evolution of Forensic Data Analytics - EY IndiaEvolution of Forensic Data Analytics - EY India
Evolution of Forensic Data Analytics - EY India
 
Evolution of Forensic Data Analytics - EY India
Evolution of Forensic Data Analytics - EY IndiaEvolution of Forensic Data Analytics - EY India
Evolution of Forensic Data Analytics - EY India
 
Evolution of Forensic Data Analytics - EY India
Evolution of Forensic Data Analytics - EY IndiaEvolution of Forensic Data Analytics - EY India
Evolution of Forensic Data Analytics - EY India
 
Evolution of Forensic Data Analytics - EY India
Evolution of Forensic Data Analytics - EY IndiaEvolution of Forensic Data Analytics - EY India
Evolution of Forensic Data Analytics - EY India
 
Evolution of Forensic Data Analytics - EY India
Evolution of Forensic Data Analytics - EY IndiaEvolution of Forensic Data Analytics - EY India
Evolution of Forensic Data Analytics - EY India
 
Forensic Technology & Discovery Services: The Intelligent Connection - EY India
Forensic Technology & Discovery Services: The Intelligent Connection - EY IndiaForensic Technology & Discovery Services: The Intelligent Connection - EY India
Forensic Technology & Discovery Services: The Intelligent Connection - EY India
 
The new ‘A and B’ of the Finance Function: Analytics and Big Data - -Evolutio...
The new ‘A and B’ of the Finance Function: Analytics and Big Data - -Evolutio...The new ‘A and B’ of the Finance Function: Analytics and Big Data - -Evolutio...
The new ‘A and B’ of the Finance Function: Analytics and Big Data - -Evolutio...
 
Baofortheintelligententerprise
BaofortheintelligententerpriseBaofortheintelligententerprise
Baofortheintelligententerprise
 
Driving Business Performance with effective Enterprise Information Management
Driving Business Performance with effective Enterprise Information ManagementDriving Business Performance with effective Enterprise Information Management
Driving Business Performance with effective Enterprise Information Management
 
Eiu collibra transforming data into action-the business outlook for data gove...
Eiu collibra transforming data into action-the business outlook for data gove...Eiu collibra transforming data into action-the business outlook for data gove...
Eiu collibra transforming data into action-the business outlook for data gove...
 
Board matters quarterly – volume 3
Board matters quarterly – volume 3Board matters quarterly – volume 3
Board matters quarterly – volume 3
 
risk management POV Digital (V.08)
risk management POV Digital (V.08)risk management POV Digital (V.08)
risk management POV Digital (V.08)
 

Recently uploaded

Quarter 4 Peace-education.pptx Catch Up Friday
Quarter 4 Peace-education.pptx Catch Up FridayQuarter 4 Peace-education.pptx Catch Up Friday
Quarter 4 Peace-education.pptx Catch Up FridayMakMakNepo
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPCeline George
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentInMediaRes1
 
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...JhezDiaz1
 
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfFraming an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfUjwalaBharambe
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 
Types of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxTypes of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxEyham Joco
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon AUnboundStockton
 
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxEPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxRaymartEstabillo3
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...Nguyen Thanh Tu Collection
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfAMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfphamnguyenenglishnb
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Celine George
 
Full Stack Web Development Course for Beginners
Full Stack Web Development Course  for BeginnersFull Stack Web Development Course  for Beginners
Full Stack Web Development Course for BeginnersSabitha Banu
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxpboyjonauth
 

Recently uploaded (20)

Quarter 4 Peace-education.pptx Catch Up Friday
Quarter 4 Peace-education.pptx Catch Up FridayQuarter 4 Peace-education.pptx Catch Up Friday
Quarter 4 Peace-education.pptx Catch Up Friday
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERP
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media Component
 
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
 
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
 
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfFraming an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
 
Rapple "Scholarly Communications and the Sustainable Development Goals"
Rapple "Scholarly Communications and the Sustainable Development Goals"Rapple "Scholarly Communications and the Sustainable Development Goals"
Rapple "Scholarly Communications and the Sustainable Development Goals"
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 
Types of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxTypes of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptx
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon A
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxEPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
 
9953330565 Low Rate Call Girls In Rohini Delhi NCR
9953330565 Low Rate Call Girls In Rohini  Delhi NCR9953330565 Low Rate Call Girls In Rohini  Delhi NCR
9953330565 Low Rate Call Girls In Rohini Delhi NCR
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfAMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17
 
Full Stack Web Development Course for Beginners
Full Stack Web Development Course  for BeginnersFull Stack Web Development Course  for Beginners
Full Stack Web Development Course for Beginners
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptx
 

Edw data strategies visual-overviews

  • 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