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A Decision Support System (DSS) is an interactive computer-based system or subsystem intended to help decision makers use communications technologies, data, documents, knowledge and/or models to identify and solve problems, complete decision process tasks, and make decisions.
It is a general term for any computer application that enhances a person or group’s ability to make decisions.
What is a DSS?
Changing Business Needs
ACTION
WHY
WHAT
PredictionForecastBusiness
Need
Complexity
Challenges before tax administrators
Readily access and analyze the tax information
Effectively and accurately identify the area of non-compliance
Better understand the taxpayers
Formulate better legislative policies
Achieve higher degree of accuracy in revenue forecast
Optimize the operational cost
Typical analysis a Decision Maker may perform
by Business Typeby Tax Typeby Tax Periodby Locationby its distribution across the various income groups of the taxpayers
Compare the revenue collected and balance due for the past 5 years
Evaluate the effectiveness of audit programs in identifying non-filers and under reporters
Trends in the collected and due amounts in the various Payment Plans at various stages and defaulters
Evaluate the productivity of various departments in handling cases over the years
Evaluate the effectiveness of external data in identifying non-filers by showing the number of such taxpayers
by the payment plan typeby the tax periodby the income groupby the tax type
by tax periodby locationby business type
by tax periodby locationby business type
Tax Collection
Analyze the trends in tax revenue for revenue enhancementEvaluate uncollected tax revenue
Problems in Transactional Applications
• Designed for real-time data entry and editing
• Data maintained is constantly changing
• Limited historical data is available for on-line comparisons
• Running Decision Support queries degrades the performance of the Transactional Application
• Complexity in achieving Comparisons, Aggregations, Rankings, Running totals etc.
Tax DSS Architecture
Tax Compliance
Data Mart
Tax DataWarehouse
Data Warehouse
Data Extraction,Scrubbing
andTransformation
OLAP toolsEISQuery & ReportingStatistical AnalysisData Mining
LANWAN
InternetMeta Cube
Internal Data
Sources
External Data Sources
External Sources
Indv. / Corp.Tax App.
Un-employment Tax App.
WithholdingTax App.
A/RSystem
“A Data Warehouse is a subject-oriented, integrated, time variant and non-volatile
collection of data in support of management’s decision-making process.”
A Data-Mart contains a subset of the dataavailable in an enterprise-wide data warehouse.
Data Mining is Discovering meaningful new correlations, Patterns and trends Using Pattern recognition technologies, Statistical and mathematical techniques
On-Line Analytical Processing (OLAP)Is a process to assist decision making by using tools to facilitate the analysis
of multi-dimensionally structured business information.
Source Data Validation
Data Scrubbing
Data Migration
Data Transformation
Data Warehouse
Decision Support Methodology (DSM)
Decision Support Analysis
DSS Software Evaluation & Selection
Operational Deployment and Support
Prototype Development
Rev
isio
n &
En
han
cem
ents
Scoping of Prototype
Project Evaluation Criteria
Detailed Design
System Construction
Testing
Demonstration
Evaluation
Functional Orientation
Operational Training
Deployment
Maintenance
Structured Interviews
Decision Analysis
Data Analysis
Technical Analysis
Conceptual DSS Orientation
Plans & Prioritization
Ad
apta
tion
Common Subject Areas
• Taxpayer Profiling
• Tax Collection
• Fraud Detection & Tax Non-compliance
• Legislative Change Impact
• Revenue Forecasting
These Subject Areas can be viewed w.r.t to various common perspectives Business Type Location (States, City) Taxpayer (Demographic) Tax Type Tax Period (Year, Quarter, Months) Time (Year, Months, Events, Seasons)
Why Tata Infotech for Tax DSS?
Large poolof resources
Expertise in theArea
Superior Solution
Tax DSS Methodology
Understand DSS Technology
Make Things Happen
Revenue Forecasting
Ability to formulate reasonable fiscal policies
Incorporate the historical revenue trends and other governing estimate
variables
Provide the highest degree of accuracy in revenue forecasting
Use of econometric models to improve the accuracy of forecasts
Advantages • Tangible BenefitsTangible Benefits
• Improvement in non-compliance will increase tax revenue
• More cost effective decisions are enabled
• Better business intelligence is enabled
• Enhanced taxpayer Services
Intangible BenefitsIntangible Benefits Improved productivity Reduced redundant processing and support Ability to focus on business processes through complete analysis
Conclusion
Tax DSS holds great potential for dramatic business benefitsTax DSS holds great potential for dramatic business benefits
Capitalizes on the potential value of the organization’s informationCapitalizes on the potential value of the organization’s information
Provide decision makers access to consistent, reliable and timely dataProvide decision makers access to consistent, reliable and timely data
Still much more to explore and enhanceStill much more to explore and enhance
Thank You