Extensible Visual Business Intelligence for
Analyzing XBRL Big Data on Blockchain
Abbas Bagherian Kasgari, AnalyzerChain
PhD, Allameh Tabataba'i University
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Agenda
• Problem definition
• Challenge of the Traditional Solutions
• Automating Financial Analysis by Visual Modeling
• XBRL+Blockchain+XAI+XBI= XVBI Solution
• Democratizing Financial Analysis by Blockchain
• Conclusion
• Future Challenge
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Problem Definition
• How to make collaboration between different users of financial applications around the globe?
• Motivation: Improving financial analysis and find the best analysis
• Idea: Automating and Democratizing financial analysis by technology solution
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XBRL Users
• Investors
• Regulators
• Companies
• Governments
• Data Providers
• Analysts
• Accountants/Auditors
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Financial Applications
• Investment Decision Making/Analytics
• Accounting Fraud Detection and Auditing
• Financial Risk Management
• Credit Rating
• Robo-Advisors
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Academic Researches suggesting storing XBRL Big Data in Blockchain
• Real-time accounting and reporting with XBRL combined blockchain (By-ström, 2016, Trigo et al., 2014)
• Acceleration of time with the XBRL blockchain (Colgren, 2018, Monterio, 2016)
• Continuous auditing and verification with XBRL blockchain (Dai, 2017, Chan et al., 2018, Deloitte, 2018, Dai and Vasarhelyi, 2017) 11
• How to build a distributed ledger platform prototype from the ground up, specifically designed to manage financial reports, in the line of other proposals in the financial area.(article and demo by Boixo et al., 2019)
• Design and implementation of a prototype to validate and store financial statements using Ethereum blockchain (d’Atri et al., 2019)
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Application of blockchain to XBRL fillers, accountants and auditors
• Validation of postings
• Verification of financial and non-financial information
• Time saving
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Recent solutions
Decentralized Continuous Audit & Reporting8
Making Data Both Machine and
Human Readable
Boosting performance
AUDT
• Technology StackAuditchain supports a full stack which includes the base protocol layer, GAAP, IFRS and GAAS smart contract layer, application layer, audit node layer and real time (per block) public facing or permission based financial statement, audit analytics and statistical reporting presentation layer.
Decentralized Continuous Audit & Reporting
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Recent solutions Challenges
• Complexity, Non-technical users can’t easily use
• Permissioned(not free to access)
• Less accessible(everybody, everywhere)
• The current blockchain platform are ready for
business
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Finding better solution?
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BI procedure in Financial Apps
• BI Generates Knowledge/Info from data
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The 5 biggest Business Intelligence challenges
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Traditional BI solutions Challenges
• Complexity and Difficulty in the implementation of new BI requirements without tremendous support of technical team
• Slow in adapting new business requirement• Limited development (in data, process and application level)• Lack of sufficient scalability or flexibility of technical
architecture(Vallurupalli Vamsi 2018)• Are not free to use• Analyzing Big Data in a Timely Manner• Managing Big Data Growth• Security Risk of the centralized solutions• BI users cannot work paper free
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Problems with traditional BI
• Many independent components that require integration
• BI systems are impacted by continuous changes
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From Democratizing Data to beyond Democratizing Financial Analysis
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Democratizing Financial Analysis by Creating a Collaboration Model for Both Machine and Human Expert Network
Intelligent Level?
• Data
• Algorithm
• Process
• System
• Network
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The Solution
1. Easing access to data, Visual XBRL
2. Automating Financial Report Analysis
3. Collaborating Network Analysis
4. Democratizing Data and Analysis by Blockchain
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1. Modeling XBRL Data
• Visual XBRL
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Research Background
• 2007: Intelligent Pyramid Continues Auditing Agent Framework for Softening SOX Burden on Small Business Public Stock Companies”, X International Congress on Innovations in Teaching Accounting September 2007, México City, United States of México, September 2007
• 2008- 2009:Prize winner in Global XBRL Academic Competition 2008-2009, Bryant University, USA• 2009: Invited for academic panel with full travel and accommodation reimbursement grant, 9th Global XBRL
Academic Competition Winning Team and History of Academics Involvement in XBRL, 19th Conference XBRL International Conference, Paris, France- 23-25 June 2009
• 2010: Invited as Discussant, for the conference ‘THE VISIBLE HAND’, European and Global Perspectives on Financial Market Regulation and Economic Governance, Organized by European Law Journal and ESSCA, Angers, Loire Valley, France, 26-27 Feb 2010.
• 2012: ACDM12. The Next Generation of Financial Mobile Networks, The 24th XBRL International Conference• 2013: XBRL Decisión Cloud, Mar 2013 – Mar 2013• 2014: iBO: Visual Business Inteligencie, Letter of Appreciation, Securities and Exchange Organization • 8 Published Papers
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US XBRL Competition 201
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2. Automating Financial Report Analysis
2. Automating Financial Report Analysis
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Multilevel Analysis
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Calc MostChangedElement(Equity)
Which element have changed
Title: A1- Equity Composition Analysis
When Run:
By proc call
Parameters:
Symbol or Company
Industry=ind
Last disclosure
Function:
MostChangedElement
Output:
Report(TX)
start
Non continuous profit is expected in
future.Capital Increase lead to Increase in profit. xxxxx
others Analysis
A13
Capital Increase
Analysis
A12
Subsidies Analysis
A11
A2
Profit/Sales? has
increased
yes
no
sale Analysis
A2
Operational Profit/Sales?
Analysis
A22
Non-Operational Profit/
Sales? Analysis
A21
Durable
-Long term invaestment
Short term investment/Non-Durablexxxxx
Title: Sale analysis(A2)
When Run:
By proc call
Parameters:
Symbol or Company
Industry=ind
Last disclosure
Function:
MostChangedElement
Output:
Report(TX)
A3
Receivable account Analysis
A1
xxxxBuying Equipment or Long term investment
xxxxx
Calc MostChangedElement(asset)
Title: asset analysis(A3)
When Run:
By proc call
Parameters:
Symbol or Company
Industry=ind
Last disclosure
Function:
MostChangedElement
Output:
Report(TX)
Equipment Analysis
A32
Cash income
A31
3. Collaborating Network Analysis
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4. Democratizing Financial Analysis
• XBRL Big Data
• Extensible Visual Business Intelligence(XVBI)
• XAI
• AnalyzerChain
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Smart Contract
• Paying to the best forecast
• Finding the best analysis
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AnalyzerChain
Blockchain
Smart Contract
End User
Visual Modeler
Visual Financial AI Learning Algo
Live Report
End User
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New Model for Continuous Auditingsharing XBRL big data and BI Visual Model analytics
Blockchain
XBRL Big Data
Fillings/Smart Contract
XBRL Analytics
BI Visual Models
Continuous Auditing Procedures
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Future Work
• Visual Modeler/XVBI
• Network of Analyzers
• Making collaboration between AI/ML and Experts
• AnalyzerChain
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linkedin.com/in/abbasbagherian
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