SlideShare a Scribd company logo
1
Aviana Global Technologies, Inc.
915 W Imperial Hwy, Suite 100
Brea, CA 92821
Phone: 818 878 0834
www.avianaglobal.com
 Founded in 1994 as a dedicated analytics and performance
management consultancy
 Privately held, zero debt
 One of the top IBM analytics partners
 Specialists in analytics synergy
 Experienced in a variety of industries
 Practical consulting approaches
 The predominant analytics partner on the west coast
 Expanded to north + south central
About Us
Hospitality – Gaming
Manufacturing
Retail – CPG
Financial Services
Public Sector
“Aviana is our top partner in the west. They now added Dallas and Chicago to their geography. Good guys, high value, all the things
that you expect from a partner.” - Rich Luciano, North America Channel Executive
3
Aviana- Fraud and Risk Mitigation Expert
Creating the right data foundation and analytical capabilities for its clients have
been Aviana’s credo for the last 20 years. We continue to bring our consulting
expertise and knowledge to help clients achieve their goals.
Fast action, timely deep dives into data combined with actionable insights make
our Fraud and Anomaly Detection platform the powerful, predictive solution
companies need to maintain strong control over its operations. Whether its
payment discrepancies, supply chain problems or internal wrongdoing NEMESIS
meets and exceeds the needs of modern businesses.
4
1. IDENTIFY suspicious patterns across groups of
Proctors, Test Centers
2. Provide clear INSIGHTS about the nature of the
anomalies
3. Score and prioritize potential SUSPICIOUS Students,
Proctors, link suspicious Test Results, Test Centers etc.
4. Support case investigation to take ACTION & STOP
fraud schemes
5. LEARN from case resolution patterns and
continuously improve detection
Introducing Nemesis: The solution is to look beyond the fraudulent
claims, billings, services and tests … discover the schemes of suspects
& learn and avoid repeated victimhood
Insights
Understand
Patterns
Bad
Proctors/
Test Centers
Link Patterns
Action
Research & Act
Learn
Adapt & Improve
Awareness
Detect Patterns
5
Nemesis Creates Value
A S e r i e s O f C o n n e c t e d P l a t f o r m M o d u l e s
Transactional
Data
Custom Predictive Scoring
Scores individual transactions
based on their attributes
Irregularity Detection
Scores groups of transactions
based on their patterns
Insight
Visualizer
Workflow
Manager
Link
Analyzer
Adaptive
Learner
Adaptive Knowledge Depository
Uses cases resolution data to improve detection
over time using Machine Learning
Pattern illustration
Presents suspicious patterns,
trends and insights
Cross Connection Analyzer
Finds relationship across bad
actors and identifies broader
Fraud Schemes
Case Management
Supports case investigation and
actions to stop fraud
Transaction
Scorer
Anomaly
DetectorContinuous
Feed
6
Nemesis- The Internals of the engine
A field-proven science, framework & technology for detecting fraud, schemes
and patterns to guide resolution and the learning process
Key Capabilities @ The Core of the SOLUTION
Investigator’ Insight Exploration & dashboard
Pattern Detection Engine
Resolution & Action Management Engine
Machine Learning Engine
 A flexible PATTERN DETECTION TECHNOLOGY that identifies groups of suspicious
activities, repeat fraudulent activities and patterns in fraudulent claims
 A series of easy-to-use INSIGHT DISCOVERY VISUALIZATION tools that
navigate suspicious cases and discovers and delivers driving insights- How
was the scheme done? When and where did this happen ? As well as, the
financial impacts, trends and priorities.
 Built-in RESOLUTION & ACTION MANAGEMENT ENGINE , delivering
integrated Case management capabilities to support and track case
disposition
 MACHINE LEARNING ENGINE provides capabilities to leverage
case resolution data and continuously improve over time
7
Nemesis Insights by Role
>>> The Right PERSPECTIVES: The Right Decisions & Actions
Fraud Analyst
•Data View: Transactional
•Insight: Pattern Drivers /
Links and specific events
•Actions: Transaction Review ,
fraud exploration resolution
and disposition
FWA Director
•Data View: Transactional,
Entity & Linkage Level
•Insight: Emerging Patterns &
Trends plus Team
Performance
•Actions: Transaction Review ,
fraud exploration resolution
and disposition
FWA Executive
•Data View: Patterns & High
Risk Targets
•Insight: Emerging Risk Trends
& Reasons, Process Efficiency
Metrics
•Actions: Corporate Wide
8
Aviana- Fraud and Risk Mitigation Select Clients
• Pearson VUE
• Kawasaki
• VSP
• Franchisee Tax Board
• Canadian Revenue Agency
• New Jersey DOR
• IRS
• CA Board of Equalization
9
Aviana’s analytics models are used in scoring:
3M+ new debts per year (100K/day)
10M+ tax returns per year for refund fraud and
identify theft (30K/hour)
1M+ delinquent non-filers
38K tax preparers for fraudulent filing
As of today, the benefits attributed to Aviana’s models include:
Improved Audit Selection: $14M
Improved Filing Enforcement: $385M
Improved Refund Fraud Detection: $136M
New Preparer Fraud Detection: $3M
Improved Debt Collection: $2.2 BILLION
Aviana in the public sector
10
Aviana in private sector
/
A
S
P
11
Some of our Healthcare Clients
/ ASP
UPMC
University of Pittsburgh Medical
Center
12
Aviana Core Competencies
 Four Pillars of Aviana’s Performance Management Practice:
 AI & Advanced Analytics
 Data Mining, Modeling, Machine Learning , Process Mining, Scoring, Social Media Analytics,
Cognitive, Survey Analysis, Text Analytics, etc.
 Data Management
 Big Data, Data Governance, Data Integration, Data Migration, Data Quality, Data
Warehousing, Master Data Management, etc.
 Business Intelligence
 Ad-hoc Query, Alerting / Event Notification, Analysis, Dashboarding, Mobile Analytics, OLAP,
Reporting, Scorecarding, etc.
 Financial Performance Management
 Budgeting / Forecasting, Consolidations, Profitability Modeling and Analysis, Financial /
Regulatory Reporting, Strategic Planning, etc.
13
 Public sector use cases (Franchise Tax Boards, Departments of Child/Family
Services, Department of Revenue, city governments, etc.)
 Healthcare use cases
 Medical fraud detection
 Readmission Rate improvements
 Effectiveness of intervention/treatment programs (Opioids); outbreak tracking
 Tax Preparer Fraud
 Maintenance monitoring and IOT root-cause analysis
 Warranty Fraud
 Insurance claims Fraud
 Computer Based Testing (CBT)/Distance Learning Fraud detection
 IT Security Audit and Cyber Compliance (or any anomalous computer usage)
Wide variety of markets and use cases for Nemesis
14
Thank You!!!

More Related Content

What's hot

Forecasting peer to_peer_lending_risk
Forecasting peer to_peer_lending_riskForecasting peer to_peer_lending_risk
Forecasting peer to_peer_lending_risk
stevenllerner
 
Linked In Power Point 2
Linked In Power Point 2Linked In Power Point 2
Linked In Power Point 2
robertascherbarth
 
Gamma Advisory Services 2014/03
Gamma Advisory Services 2014/03Gamma Advisory Services 2014/03
Gamma Advisory Services 2014/03
Pravin Shirname
 
Rethinking the Risk Business: Data and Analytics in the Insurance Industry
Rethinking the Risk Business: Data and Analytics in the Insurance IndustryRethinking the Risk Business: Data and Analytics in the Insurance Industry
Rethinking the Risk Business: Data and Analytics in the Insurance Industry
State Street
 
Auto Finance Analytics
Auto Finance AnalyticsAuto Finance Analytics
Auto Finance Analytics
Transcendent Financial Services
 
The Data-Driven Investor: How Technology Changes the Game for Today’s Asset O...
The Data-Driven Investor: How Technology Changes the Game for Today’s Asset O...The Data-Driven Investor: How Technology Changes the Game for Today’s Asset O...
The Data-Driven Investor: How Technology Changes the Game for Today’s Asset O...
State Street
 
Keys to extract value from the data analytics life cycle
Keys to extract value from the data analytics life cycleKeys to extract value from the data analytics life cycle
Keys to extract value from the data analytics life cycle
Grant Thornton LLP
 
ORIGINATIONNEXT- Credit Appraisal Model
ORIGINATIONNEXT- Credit Appraisal ModelORIGINATIONNEXT- Credit Appraisal Model
ORIGINATIONNEXT- Credit Appraisal Model
CRMNEXT
 

What's hot (9)

Cash Forecasting Trends in Asia
Cash Forecasting Trends in Asia Cash Forecasting Trends in Asia
Cash Forecasting Trends in Asia
 
Forecasting peer to_peer_lending_risk
Forecasting peer to_peer_lending_riskForecasting peer to_peer_lending_risk
Forecasting peer to_peer_lending_risk
 
Linked In Power Point 2
Linked In Power Point 2Linked In Power Point 2
Linked In Power Point 2
 
Gamma Advisory Services 2014/03
Gamma Advisory Services 2014/03Gamma Advisory Services 2014/03
Gamma Advisory Services 2014/03
 
Rethinking the Risk Business: Data and Analytics in the Insurance Industry
Rethinking the Risk Business: Data and Analytics in the Insurance IndustryRethinking the Risk Business: Data and Analytics in the Insurance Industry
Rethinking the Risk Business: Data and Analytics in the Insurance Industry
 
Auto Finance Analytics
Auto Finance AnalyticsAuto Finance Analytics
Auto Finance Analytics
 
The Data-Driven Investor: How Technology Changes the Game for Today’s Asset O...
The Data-Driven Investor: How Technology Changes the Game for Today’s Asset O...The Data-Driven Investor: How Technology Changes the Game for Today’s Asset O...
The Data-Driven Investor: How Technology Changes the Game for Today’s Asset O...
 
Keys to extract value from the data analytics life cycle
Keys to extract value from the data analytics life cycleKeys to extract value from the data analytics life cycle
Keys to extract value from the data analytics life cycle
 
ORIGINATIONNEXT- Credit Appraisal Model
ORIGINATIONNEXT- Credit Appraisal ModelORIGINATIONNEXT- Credit Appraisal Model
ORIGINATIONNEXT- Credit Appraisal Model
 

Similar to Aviana presentation

Timothy_Dunham_Resume_080116
Timothy_Dunham_Resume_080116Timothy_Dunham_Resume_080116
Timothy_Dunham_Resume_080116Timothy Dunham
 
Analytics: What is it really and how can it help my organization?
Analytics: What is it really and how can it help my organization?Analytics: What is it really and how can it help my organization?
Analytics: What is it really and how can it help my organization?
SAS Canada
 
Business Intelligence For Aml
Business Intelligence For AmlBusiness Intelligence For Aml
Business Intelligence For AmlKartik Mehta
 
Analytics in banking services
Analytics in banking servicesAnalytics in banking services
Analytics in banking services
Mariyageorge
 
Novel analytics for gas stations
Novel analytics for gas stationsNovel analytics for gas stations
Novel analytics for gas stations
NovelAnalytics
 
Business Intelligence For Anti-Money Laundering
Business Intelligence For Anti-Money LaunderingBusiness Intelligence For Anti-Money Laundering
Business Intelligence For Anti-Money Laundering
Kartik Mehta
 
David.Burna.resume.2023.08.03.doc
David.Burna.resume.2023.08.03.docDavid.Burna.resume.2023.08.03.doc
David.Burna.resume.2023.08.03.doc
DavidBurna
 
David.Burna.resume.2023.06.27.doc
David.Burna.resume.2023.06.27.docDavid.Burna.resume.2023.06.27.doc
David.Burna.resume.2023.06.27.doc
DavidBurna
 
Empowering Your Business with Advanced Data Analytics Services
 Empowering Your Business with Advanced Data Analytics Services Empowering Your Business with Advanced Data Analytics Services
Empowering Your Business with Advanced Data Analytics Services
Corotsystems
 
Big data: What's the big deal?
Big data: What's the big deal?Big data: What's the big deal?
Big data: What's the big deal?
Penser
 
IT Fraud Series: Data Analytics
IT Fraud Series: Data AnalyticsIT Fraud Series: Data Analytics
IT Fraud Series: Data Analytics
Jim Kaplan CIA CFE
 
The Secret to Acquiring and Retaining Customers in Financial Services
The Secret to Acquiring and Retaining Customers in Financial ServicesThe Secret to Acquiring and Retaining Customers in Financial Services
The Secret to Acquiring and Retaining Customers in Financial Services
Perficient, Inc.
 
Fortify Your Enterprise with IBM Smarter Counter-Fraud Solutions
Fortify Your Enterprise with IBM Smarter Counter-Fraud SolutionsFortify Your Enterprise with IBM Smarter Counter-Fraud Solutions
Fortify Your Enterprise with IBM Smarter Counter-Fraud Solutions
Perficient, Inc.
 
Fraud Analytics - Discussion
Fraud Analytics - DiscussionFraud Analytics - Discussion
Fraud Analytics - Discussion
Aditya Madiraju
 
Fraud analytics
Fraud analyticsFraud analytics
Fraud analytics
Simran Mondal
 
The role of Technology: Battling Financial Crime
The role of Technology: Battling Financial CrimeThe role of Technology: Battling Financial Crime
The role of Technology: Battling Financial Crime
Symptai Consulting Limited
 
CaseWare Monitor - New in 5.4 Release
CaseWare Monitor - New in 5.4 ReleaseCaseWare Monitor - New in 5.4 Release
CaseWare Monitor - New in 5.4 Release
Alessa
 
Developing a Preventative and Sustainable P-card Program
Developing a Preventative and Sustainable P-card ProgramDeveloping a Preventative and Sustainable P-card Program
Developing a Preventative and Sustainable P-card Program
CaseWare IDEA
 
College University Auditor Fall 2015 P-Card Program (Jan)
College  University Auditor Fall 2015 P-Card Program (Jan)College  University Auditor Fall 2015 P-Card Program (Jan)
College University Auditor Fall 2015 P-Card Program (Jan)Andrew Simpson
 

Similar to Aviana presentation (20)

Timothy_Dunham_Resume_080116
Timothy_Dunham_Resume_080116Timothy_Dunham_Resume_080116
Timothy_Dunham_Resume_080116
 
Analytics: What is it really and how can it help my organization?
Analytics: What is it really and how can it help my organization?Analytics: What is it really and how can it help my organization?
Analytics: What is it really and how can it help my organization?
 
Business Intelligence For Aml
Business Intelligence For AmlBusiness Intelligence For Aml
Business Intelligence For Aml
 
Analytics in banking services
Analytics in banking servicesAnalytics in banking services
Analytics in banking services
 
Novel analytics for gas stations
Novel analytics for gas stationsNovel analytics for gas stations
Novel analytics for gas stations
 
Business Intelligence For Anti-Money Laundering
Business Intelligence For Anti-Money LaunderingBusiness Intelligence For Anti-Money Laundering
Business Intelligence For Anti-Money Laundering
 
David.Burna.resume.2023.08.03.doc
David.Burna.resume.2023.08.03.docDavid.Burna.resume.2023.08.03.doc
David.Burna.resume.2023.08.03.doc
 
David.Burna.resume.2023.06.27.doc
David.Burna.resume.2023.06.27.docDavid.Burna.resume.2023.06.27.doc
David.Burna.resume.2023.06.27.doc
 
Empowering Your Business with Advanced Data Analytics Services
 Empowering Your Business with Advanced Data Analytics Services Empowering Your Business with Advanced Data Analytics Services
Empowering Your Business with Advanced Data Analytics Services
 
Big data: What's the big deal?
Big data: What's the big deal?Big data: What's the big deal?
Big data: What's the big deal?
 
Mohamed Abdelhalim CV
Mohamed Abdelhalim CVMohamed Abdelhalim CV
Mohamed Abdelhalim CV
 
IT Fraud Series: Data Analytics
IT Fraud Series: Data AnalyticsIT Fraud Series: Data Analytics
IT Fraud Series: Data Analytics
 
The Secret to Acquiring and Retaining Customers in Financial Services
The Secret to Acquiring and Retaining Customers in Financial ServicesThe Secret to Acquiring and Retaining Customers in Financial Services
The Secret to Acquiring and Retaining Customers in Financial Services
 
Fortify Your Enterprise with IBM Smarter Counter-Fraud Solutions
Fortify Your Enterprise with IBM Smarter Counter-Fraud SolutionsFortify Your Enterprise with IBM Smarter Counter-Fraud Solutions
Fortify Your Enterprise with IBM Smarter Counter-Fraud Solutions
 
Fraud Analytics - Discussion
Fraud Analytics - DiscussionFraud Analytics - Discussion
Fraud Analytics - Discussion
 
Fraud analytics
Fraud analyticsFraud analytics
Fraud analytics
 
The role of Technology: Battling Financial Crime
The role of Technology: Battling Financial CrimeThe role of Technology: Battling Financial Crime
The role of Technology: Battling Financial Crime
 
CaseWare Monitor - New in 5.4 Release
CaseWare Monitor - New in 5.4 ReleaseCaseWare Monitor - New in 5.4 Release
CaseWare Monitor - New in 5.4 Release
 
Developing a Preventative and Sustainable P-card Program
Developing a Preventative and Sustainable P-card ProgramDeveloping a Preventative and Sustainable P-card Program
Developing a Preventative and Sustainable P-card Program
 
College University Auditor Fall 2015 P-Card Program (Jan)
College  University Auditor Fall 2015 P-Card Program (Jan)College  University Auditor Fall 2015 P-Card Program (Jan)
College University Auditor Fall 2015 P-Card Program (Jan)
 

More from Sujit Ghosh

QA Team Goes to Agile and Continuous integration
QA Team Goes to Agile and Continuous integrationQA Team Goes to Agile and Continuous integration
QA Team Goes to Agile and Continuous integration
Sujit Ghosh
 
3 S GBS JDE Capabilities
3 S GBS JDE Capabilities3 S GBS JDE Capabilities
3 S GBS JDE Capabilities
Sujit Ghosh
 
SCQAA-SF Meeting on May 21 2014
SCQAA-SF Meeting on May 21 2014 SCQAA-SF Meeting on May 21 2014
SCQAA-SF Meeting on May 21 2014 Sujit Ghosh
 
How to handle challenginng stakeholder
How to handle challenginng stakeholderHow to handle challenginng stakeholder
How to handle challenginng stakeholder
Sujit Ghosh
 
3 s glbal presentation on unicode development
3 s glbal presentation on unicode development3 s glbal presentation on unicode development
3 s glbal presentation on unicode development
Sujit Ghosh
 
Sit future of_the_desktop
Sit future of_the_desktopSit future of_the_desktop
Sit future of_the_desktop
Sujit Ghosh
 
How do you know bp improvements scqaa
How do you know  bp improvements scqaaHow do you know  bp improvements scqaa
How do you know bp improvements scqaa
Sujit Ghosh
 
How to Do Gmail Merge
How to Do Gmail MergeHow to Do Gmail Merge
How to Do Gmail Merge
Sujit Ghosh
 
Cognos BI Training Orientation
Cognos BI Training Orientation Cognos BI Training Orientation
Cognos BI Training Orientation
Sujit Ghosh
 
Mixed Model Management:Manage Projects and Not Tasks
Mixed Model Management:Manage Projects and Not TasksMixed Model Management:Manage Projects and Not Tasks
Mixed Model Management:Manage Projects and Not Tasks
Sujit Ghosh
 
Big Data Presentation at SCQAA-SF on June 12 2013
Big Data Presentation at SCQAA-SF on June 12 2013Big Data Presentation at SCQAA-SF on June 12 2013
Big Data Presentation at SCQAA-SF on June 12 2013Sujit Ghosh
 
Big data webinar may23 nrit by sunil
Big data webinar may23 nrit by sunilBig data webinar may23 nrit by sunil
Big data webinar may23 nrit by sunilSujit Ghosh
 
SCQAA-SF Selenium Presentation
SCQAA-SF Selenium  PresentationSCQAA-SF Selenium  Presentation
SCQAA-SF Selenium Presentation
Sujit Ghosh
 
Presentation by Kiho Sohn
Presentation by Kiho SohnPresentation by Kiho Sohn
Presentation by Kiho Sohn
Sujit Ghosh
 
How To Convince A Skeptic
How To Convince A SkepticHow To Convince A Skeptic
How To Convince A Skeptic
Sujit Ghosh
 
Mobile Cross Platform
Mobile Cross PlatformMobile Cross Platform
Mobile Cross PlatformSujit Ghosh
 
Unconventional Risks Presented by Synergy Assoc
Unconventional Risks Presented by Synergy AssocUnconventional Risks Presented by Synergy Assoc
Unconventional Risks Presented by Synergy Assoc
Sujit Ghosh
 
Harness The Power Of Social Media
Harness The Power Of Social MediaHarness The Power Of Social Media
Harness The Power Of Social Media
Sujit Ghosh
 

More from Sujit Ghosh (19)

QA Team Goes to Agile and Continuous integration
QA Team Goes to Agile and Continuous integrationQA Team Goes to Agile and Continuous integration
QA Team Goes to Agile and Continuous integration
 
3 S GBS JDE Capabilities
3 S GBS JDE Capabilities3 S GBS JDE Capabilities
3 S GBS JDE Capabilities
 
SCQAA-SF Meeting on May 21 2014
SCQAA-SF Meeting on May 21 2014 SCQAA-SF Meeting on May 21 2014
SCQAA-SF Meeting on May 21 2014
 
How to handle challenginng stakeholder
How to handle challenginng stakeholderHow to handle challenginng stakeholder
How to handle challenginng stakeholder
 
3 s glbal presentation on unicode development
3 s glbal presentation on unicode development3 s glbal presentation on unicode development
3 s glbal presentation on unicode development
 
Sit future of_the_desktop
Sit future of_the_desktopSit future of_the_desktop
Sit future of_the_desktop
 
How do you know bp improvements scqaa
How do you know  bp improvements scqaaHow do you know  bp improvements scqaa
How do you know bp improvements scqaa
 
How to Do Gmail Merge
How to Do Gmail MergeHow to Do Gmail Merge
How to Do Gmail Merge
 
Cognos BI Training Orientation
Cognos BI Training Orientation Cognos BI Training Orientation
Cognos BI Training Orientation
 
Mixed Model Management:Manage Projects and Not Tasks
Mixed Model Management:Manage Projects and Not TasksMixed Model Management:Manage Projects and Not Tasks
Mixed Model Management:Manage Projects and Not Tasks
 
Big Data Presentation at SCQAA-SF on June 12 2013
Big Data Presentation at SCQAA-SF on June 12 2013Big Data Presentation at SCQAA-SF on June 12 2013
Big Data Presentation at SCQAA-SF on June 12 2013
 
Big data webinar may23 nrit by sunil
Big data webinar may23 nrit by sunilBig data webinar may23 nrit by sunil
Big data webinar may23 nrit by sunil
 
SCQAA-SF Selenium Presentation
SCQAA-SF Selenium  PresentationSCQAA-SF Selenium  Presentation
SCQAA-SF Selenium Presentation
 
Presentation by Kiho Sohn
Presentation by Kiho SohnPresentation by Kiho Sohn
Presentation by Kiho Sohn
 
How To Convince A Skeptic
How To Convince A SkepticHow To Convince A Skeptic
How To Convince A Skeptic
 
Mobile Cross Platform
Mobile Cross PlatformMobile Cross Platform
Mobile Cross Platform
 
Attitude
AttitudeAttitude
Attitude
 
Unconventional Risks Presented by Synergy Assoc
Unconventional Risks Presented by Synergy AssocUnconventional Risks Presented by Synergy Assoc
Unconventional Risks Presented by Synergy Assoc
 
Harness The Power Of Social Media
Harness The Power Of Social MediaHarness The Power Of Social Media
Harness The Power Of Social Media
 

Recently uploaded

standardisation of garbhpala offhgfffghh
standardisation of garbhpala offhgfffghhstandardisation of garbhpala offhgfffghh
standardisation of garbhpala offhgfffghh
ArpitMalhotra16
 
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
slg6lamcq
 
一比一原版(TWU毕业证)西三一大学毕业证成绩单
一比一原版(TWU毕业证)西三一大学毕业证成绩单一比一原版(TWU毕业证)西三一大学毕业证成绩单
一比一原版(TWU毕业证)西三一大学毕业证成绩单
ocavb
 
The affect of service quality and online reviews on customer loyalty in the E...
The affect of service quality and online reviews on customer loyalty in the E...The affect of service quality and online reviews on customer loyalty in the E...
The affect of service quality and online reviews on customer loyalty in the E...
jerlynmaetalle
 
一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单
一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单
一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单
vcaxypu
 
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
yhkoc
 
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
mbawufebxi
 
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
u86oixdj
 
一比一原版(YU毕业证)约克大学毕业证成绩单
一比一原版(YU毕业证)约克大学毕业证成绩单一比一原版(YU毕业证)约克大学毕业证成绩单
一比一原版(YU毕业证)约克大学毕业证成绩单
enxupq
 
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
AbhimanyuSinha9
 
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
vcaxypu
 
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
ewymefz
 
Adjusting primitives for graph : SHORT REPORT / NOTES
Adjusting primitives for graph : SHORT REPORT / NOTESAdjusting primitives for graph : SHORT REPORT / NOTES
Adjusting primitives for graph : SHORT REPORT / NOTES
Subhajit Sahu
 
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
slg6lamcq
 
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
John Andrews
 
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
ahzuo
 
Criminal IP - Threat Hunting Webinar.pdf
Criminal IP - Threat Hunting Webinar.pdfCriminal IP - Threat Hunting Webinar.pdf
Criminal IP - Threat Hunting Webinar.pdf
Criminal IP
 
Malana- Gimlet Market Analysis (Portfolio 2)
Malana- Gimlet Market Analysis (Portfolio 2)Malana- Gimlet Market Analysis (Portfolio 2)
Malana- Gimlet Market Analysis (Portfolio 2)
TravisMalana
 
Machine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptxMachine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptx
balafet
 
哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样
哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样
哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样
axoqas
 

Recently uploaded (20)

standardisation of garbhpala offhgfffghh
standardisation of garbhpala offhgfffghhstandardisation of garbhpala offhgfffghh
standardisation of garbhpala offhgfffghh
 
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
 
一比一原版(TWU毕业证)西三一大学毕业证成绩单
一比一原版(TWU毕业证)西三一大学毕业证成绩单一比一原版(TWU毕业证)西三一大学毕业证成绩单
一比一原版(TWU毕业证)西三一大学毕业证成绩单
 
The affect of service quality and online reviews on customer loyalty in the E...
The affect of service quality and online reviews on customer loyalty in the E...The affect of service quality and online reviews on customer loyalty in the E...
The affect of service quality and online reviews on customer loyalty in the E...
 
一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单
一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单
一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单
 
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
 
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
 
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
 
一比一原版(YU毕业证)约克大学毕业证成绩单
一比一原版(YU毕业证)约克大学毕业证成绩单一比一原版(YU毕业证)约克大学毕业证成绩单
一比一原版(YU毕业证)约克大学毕业证成绩单
 
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
 
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
 
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
 
Adjusting primitives for graph : SHORT REPORT / NOTES
Adjusting primitives for graph : SHORT REPORT / NOTESAdjusting primitives for graph : SHORT REPORT / NOTES
Adjusting primitives for graph : SHORT REPORT / NOTES
 
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
 
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
 
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
 
Criminal IP - Threat Hunting Webinar.pdf
Criminal IP - Threat Hunting Webinar.pdfCriminal IP - Threat Hunting Webinar.pdf
Criminal IP - Threat Hunting Webinar.pdf
 
Malana- Gimlet Market Analysis (Portfolio 2)
Malana- Gimlet Market Analysis (Portfolio 2)Malana- Gimlet Market Analysis (Portfolio 2)
Malana- Gimlet Market Analysis (Portfolio 2)
 
Machine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptxMachine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptx
 
哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样
哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样
哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样
 

Aviana presentation

  • 1. 1 Aviana Global Technologies, Inc. 915 W Imperial Hwy, Suite 100 Brea, CA 92821 Phone: 818 878 0834 www.avianaglobal.com
  • 2.  Founded in 1994 as a dedicated analytics and performance management consultancy  Privately held, zero debt  One of the top IBM analytics partners  Specialists in analytics synergy  Experienced in a variety of industries  Practical consulting approaches  The predominant analytics partner on the west coast  Expanded to north + south central About Us Hospitality – Gaming Manufacturing Retail – CPG Financial Services Public Sector “Aviana is our top partner in the west. They now added Dallas and Chicago to their geography. Good guys, high value, all the things that you expect from a partner.” - Rich Luciano, North America Channel Executive
  • 3. 3 Aviana- Fraud and Risk Mitigation Expert Creating the right data foundation and analytical capabilities for its clients have been Aviana’s credo for the last 20 years. We continue to bring our consulting expertise and knowledge to help clients achieve their goals. Fast action, timely deep dives into data combined with actionable insights make our Fraud and Anomaly Detection platform the powerful, predictive solution companies need to maintain strong control over its operations. Whether its payment discrepancies, supply chain problems or internal wrongdoing NEMESIS meets and exceeds the needs of modern businesses.
  • 4. 4 1. IDENTIFY suspicious patterns across groups of Proctors, Test Centers 2. Provide clear INSIGHTS about the nature of the anomalies 3. Score and prioritize potential SUSPICIOUS Students, Proctors, link suspicious Test Results, Test Centers etc. 4. Support case investigation to take ACTION & STOP fraud schemes 5. LEARN from case resolution patterns and continuously improve detection Introducing Nemesis: The solution is to look beyond the fraudulent claims, billings, services and tests … discover the schemes of suspects & learn and avoid repeated victimhood Insights Understand Patterns Bad Proctors/ Test Centers Link Patterns Action Research & Act Learn Adapt & Improve Awareness Detect Patterns
  • 5. 5 Nemesis Creates Value A S e r i e s O f C o n n e c t e d P l a t f o r m M o d u l e s Transactional Data Custom Predictive Scoring Scores individual transactions based on their attributes Irregularity Detection Scores groups of transactions based on their patterns Insight Visualizer Workflow Manager Link Analyzer Adaptive Learner Adaptive Knowledge Depository Uses cases resolution data to improve detection over time using Machine Learning Pattern illustration Presents suspicious patterns, trends and insights Cross Connection Analyzer Finds relationship across bad actors and identifies broader Fraud Schemes Case Management Supports case investigation and actions to stop fraud Transaction Scorer Anomaly DetectorContinuous Feed
  • 6. 6 Nemesis- The Internals of the engine A field-proven science, framework & technology for detecting fraud, schemes and patterns to guide resolution and the learning process Key Capabilities @ The Core of the SOLUTION Investigator’ Insight Exploration & dashboard Pattern Detection Engine Resolution & Action Management Engine Machine Learning Engine  A flexible PATTERN DETECTION TECHNOLOGY that identifies groups of suspicious activities, repeat fraudulent activities and patterns in fraudulent claims  A series of easy-to-use INSIGHT DISCOVERY VISUALIZATION tools that navigate suspicious cases and discovers and delivers driving insights- How was the scheme done? When and where did this happen ? As well as, the financial impacts, trends and priorities.  Built-in RESOLUTION & ACTION MANAGEMENT ENGINE , delivering integrated Case management capabilities to support and track case disposition  MACHINE LEARNING ENGINE provides capabilities to leverage case resolution data and continuously improve over time
  • 7. 7 Nemesis Insights by Role >>> The Right PERSPECTIVES: The Right Decisions & Actions Fraud Analyst •Data View: Transactional •Insight: Pattern Drivers / Links and specific events •Actions: Transaction Review , fraud exploration resolution and disposition FWA Director •Data View: Transactional, Entity & Linkage Level •Insight: Emerging Patterns & Trends plus Team Performance •Actions: Transaction Review , fraud exploration resolution and disposition FWA Executive •Data View: Patterns & High Risk Targets •Insight: Emerging Risk Trends & Reasons, Process Efficiency Metrics •Actions: Corporate Wide
  • 8. 8 Aviana- Fraud and Risk Mitigation Select Clients • Pearson VUE • Kawasaki • VSP • Franchisee Tax Board • Canadian Revenue Agency • New Jersey DOR • IRS • CA Board of Equalization
  • 9. 9 Aviana’s analytics models are used in scoring: 3M+ new debts per year (100K/day) 10M+ tax returns per year for refund fraud and identify theft (30K/hour) 1M+ delinquent non-filers 38K tax preparers for fraudulent filing As of today, the benefits attributed to Aviana’s models include: Improved Audit Selection: $14M Improved Filing Enforcement: $385M Improved Refund Fraud Detection: $136M New Preparer Fraud Detection: $3M Improved Debt Collection: $2.2 BILLION Aviana in the public sector
  • 10. 10 Aviana in private sector / A S P
  • 11. 11 Some of our Healthcare Clients / ASP UPMC University of Pittsburgh Medical Center
  • 12. 12 Aviana Core Competencies  Four Pillars of Aviana’s Performance Management Practice:  AI & Advanced Analytics  Data Mining, Modeling, Machine Learning , Process Mining, Scoring, Social Media Analytics, Cognitive, Survey Analysis, Text Analytics, etc.  Data Management  Big Data, Data Governance, Data Integration, Data Migration, Data Quality, Data Warehousing, Master Data Management, etc.  Business Intelligence  Ad-hoc Query, Alerting / Event Notification, Analysis, Dashboarding, Mobile Analytics, OLAP, Reporting, Scorecarding, etc.  Financial Performance Management  Budgeting / Forecasting, Consolidations, Profitability Modeling and Analysis, Financial / Regulatory Reporting, Strategic Planning, etc.
  • 13. 13  Public sector use cases (Franchise Tax Boards, Departments of Child/Family Services, Department of Revenue, city governments, etc.)  Healthcare use cases  Medical fraud detection  Readmission Rate improvements  Effectiveness of intervention/treatment programs (Opioids); outbreak tracking  Tax Preparer Fraud  Maintenance monitoring and IOT root-cause analysis  Warranty Fraud  Insurance claims Fraud  Computer Based Testing (CBT)/Distance Learning Fraud detection  IT Security Audit and Cyber Compliance (or any anomalous computer usage) Wide variety of markets and use cases for Nemesis