This presentation provides a brief overview of eCAAT Ent with use cases. eCAAT Ent is an add-in software to MS Excel which can be used for Data analytics/BI software used by CAs and CXOs for Assurance, Compliance and Fraud Investigations.
This presentation provides a brief overview of eCAAT Pro with use cases. eCAAT Pro is a Data Analytics/BI software specially designed for CA Firms and their teams to perform Data Analytics/BI in the assignments of Assurance, Compliance and Fraud Investigations.
This presentation provides a brief overview of eCAAT-TS (Time-Saver) which is an add-in Software to MS Excel which enhances the power of Excel and enables user to perform complex functions without knowing macros.
This presentation provides a brief overview of key features of T-CAAT Ent which is an add-in software to MS Excel. It can be used for Exporting Masters, Vouchers and Reports from Tally to MS Excel in a structured Format. it also has specific functions for assurance/compliance.
E2Tally-Soft is a software add-in for MS Excel that allows users to automate the import of accounting masters and vouchers from Excel to Tally. It has a simple interface where users can select modules and functions to import masters like groups, ledgers, and voucher types or import vouchers from Excel templates into Tally with just a few clicks. This saves time over manual data entry and reduces errors by automating the process. The software also allows converting transaction data from different Excel formats into Tally voucher formats for importing.
This presentation provides a brief overview of key features of E2Tally-Soft Ent version of software which is an add-in software to MS Excel. It can be used for Importing Masters and Vouchers from Excel to Tally in a few clicks. You can also export Masters and Vouchers from Tally to Excel in a few clicks.
This presentation provides a brief overview of eCAAT BI with use cases. eCAAT BI is an add-in Software to MS Excel which can be used for performing Data Analytics/BI/MIS in the assignments of Assurance, Compliance, Consulting and Fraud Investigations.
Intro of Key Features of SoftCAAT BI SQL Softwarerafeq
This presentation provides a brief overview of SoftCAAT BI SQL with use cases. SoftCAAT BI SQL is a Data Analytics/BI software specially designed for performing Analytics/BI/MIS on large volume of data in SQL in the assignments of Assurance, Compliance and Fraud Investigations.
Intro of Key Features of Auto eCAAT Pro Softwarerafeq
This presentation provides a brief overview of Auto eCAAT Pro with use cases. Auto eCAAT Pro is a Data Analytics/BI software specially designed for CA Firms and their team to perform and automate analytics in the assignments of Assurance, Compliance and Fraud Investigations.
Intro of Key Features of Auto eCAAT Ent Softwarerafeq
This presentation provides a brief overview of Auto eCAAT Ent with use cases. Auto eCAAT Ent is a Data Analytics/BI software specially designed for automating analytics in the assignments of Assurance, Compliance and Fraud Investigations.
Intro of Key Features of Auto T-CAAT Pro 2021Dec01rafeq
This presentation provides an overview of the key features of Auto T-CAAT Pro, an add-in software to MS Excel which facilitates automation of import of masters and vouchers from Tally to MS Excel in a few clicks.
Intro of Key Features of SoftCAAT BI Softwarerafeq
This presentation provides a brief overview of SoftCAAT BI with use cases. SoftCAAT BI is a Data Analytics/BI/MIS software specially designed for performing analytics in the assignments of Assurance, Compliance, Consulting and Fraud Investigations.
T-CAAT Pro is a software add-in for MS Excel that allows users to extract data from Tally accounting software into Excel in a structured format. It has over 35 functions to import masters, transactions, and reports from Tally with just a few clicks. This exported structured data can then be easily analyzed in Excel or other data analytics software. The software helps accounting and audit professionals supplement Tally's simplicity with Excel's powerful data analytics capabilities. It saves time by streamlining the process of getting Tally data into Excel for further review and analysis.
Intro of Key Features of SoftCAAT Pro softwarerafeq
This presentation provides an overview of key features of SoftCAAT Pro Software with use cases. SoftCAAT Pro is a independent Data Analytics designed specially for CA Firms and their teams to perform Data Analytics in assignments of Assurance, Compliance or Fraud Investigation.
This presentation provides brief overview of Auto S-CAAT, add-in Software to MS Excel which enables user to perform and automate analytics on SQL data from MS Excel. This empower users to Automate and perform complex analytics on SQL data Analytics/BI from Excel in a few clicks.
Intro of Key Features of Soft CAAT Ent Softwarerafeq
This presentation provides a brief overview of SoftCAAT Ent with use cases. SoftCAAT Ent is a data analytics/BI software used by CAs and CXOs for Assurance, Compliance and Fraud Investigations.
This presentation provides brief overview of S-CAAT, add-in Software to MS Excel which enables user to perform analytics on SQL data from MS Excel. This empower users to perform complex analytics on SQL Data Analytics/BI from Excel in a few clicks.
Intro of Key Features of SoftCAAT Ent SQL Softwarerafeq
This presentation provides a brief overview of SoftCAAT Ent SQL Version software with use cases. SoftCAAT is a Data analytics/BI software which can used for performing complex analytics on large voluem of data in SQL. SoftCAAT is primarily used by CAs and CXOs for Assurance/BI/MIS, Compliance and Fraud Investigations.
Why you should consider a career in Tableau ?Simplilearn
The document discusses the growing demand for data visualization and Tableau experts. It notes that by 2020, the world will generate 50 times more data than in 2011 and there will be shortages of over 140,000 data analytics professionals in the US by 2018. Tableau has emerged as a leading data visualization tool, with over 42,000 customer accounts. Learning Tableau is advantageous as the median salary for Tableau professionals is $106,000 and the demand for skills in data visualization and Tableau is surging.
ACL Software is a powerful product yet many users are concerned it is difficult to start and therefore, may never effectively maximize the product. If you fall into this category or just want to learn from one of the top industry experts in ACL Software (over 20 years experience), this course will provide the key learning blocks to get started quickly auditing three top audit areas for data analytics.
Using a live/video training library approach, we help companies of all sizes use audit and assurance software to improve business intelligence, increase efficiencies, identify fraud, test controls, and bottom line savings.
AuditNet and Cash Recovery Partners Webinar recording available at auditsoftwarevideos.com and AuditNet.tv (registration required) Recording free to view.
Sample Data Files for All Courses are available for $49
To purchase access to all sample data files, Excel macros and ACL scripts associated with the free training visit AuditSoftwareVideos.
This document provides an overview of Oracle's Information Management Reference Architecture. It includes a conceptual view of the main architectural components, several design patterns for implementing different types of information management solutions, a logical view of the components in an information management system, and descriptions of how data flows through ingestion, interpretation, and different data layers.
Analytics Cloud Comprehensive Look to Data VisualizationAlithya
The Mandate for Business Analytics, Oracle Analytics Cloud (OAC) Overview, Brief OAC Screen Shot Demo – Data Visualizer
Presented at Oracle EPM Day Montreal 1/22/19 by Mike Killeen, SVP, Alithya
Tableau (BI) interview questions version 2.0Visualect
Bespoke Tableau interview questions carefully picked from
real time interviews and curated by professionals with a zillion
hours of training and placement experience. One of the Highest Paying Jobs in the Industry.
Alok Singh is seeking challenging assignments in Business Intelligence/Data warehousing. He has nearly 7 years of experience in BI/DW, ETL, data integration, and data warehousing solution design. He is proficient in SQL, ETL tools like Informatica and SSIS, and visualization tools like QlikView and Tableau. He has experience designing and developing ETL solutions, requirements gathering, and data analysis. His past roles include positions at Technologia, Subex, and Reliance Communications where he worked on projects involving Teradata, Oracle, billing systems, and fraud detection. He has a bachelor's degree in electronics and telecommunications.
Glenture is a global consulting firm with over 1,000 employees that implements Microsoft-based business intelligence, collaboration, and custom application development solutions. It has over 250 clients across 10 verticals. Glenture focuses on developing industry expertise and accelerators to rapidly implement Microsoft BI, SharePoint, and custom .NET solutions. It prides itself on its deep partnership with Microsoft and ability to deliver high-quality projects on time and on budget.
Tableau 2018 - Introduction to Visual analyticsArun K
This document provides an overview of a visual analytics course using Tableau. The course structure includes modules on Tableau Desktop foundations, exploratory data analysis, creating analytics dashboards, advanced predictive analytics with R programming, and completing visual analytics projects. Learners will gain skills in exploratory data analytics, building dashboards, predictive analytics, and developing a project portfolio. Case studies will cover topics like geo-data analysis, customer segmentation, and price index analysis. The importance of visual analytics and Tableau for industries like sales, marketing, and finance is also discussed.
The document discusses Oracle's vision for an integrated Enterprise Performance Management (EPM) system. It outlines Oracle's strategy to combine operational excellence with management excellence through a complete EPM system built on Oracle's BI platform. Key elements include pre-built BI applications, a common enterprise information model, and leveraging Essbase for advanced OLAP capabilities. The system is positioned as providing faster time to value compared to traditional point solutions.
Swapna Tammishetty CV-Business & Systems Analyst-Data Analyst-Crystal Reports...Swapna Tammishetty
Swapna Tammishetty has over 11 years of experience in data warehousing, business intelligence, and analytics. She has worked on projects involving technologies like Teradata, Crystal Reports, and Tableau. Some of her responsibilities have included requirements gathering, data modeling, ETL development, testing, and providing support. She has extensive experience in the healthcare domain working with clients such as Anthem and analyzing ACA/HIX data.
Customer-Centric Data Management for Better Customer ExperiencesInformatica
With consumer and business buyer expectations growing exponentially, more businesses are competing on the basis of customer experience. But executing preferred customer experiences requires data about who your customers are today and what will they likely need in the future. Every business can benefit from an AI-powered master data management platform to supply this information to line-of-business owners so they can execute great experiences at scale. This same need is true from an internal business process perspective as well. For example, many businesses require better data management practices to deliver preferred employee experiences. Informatica provides an MDM platform to solve for these examples and more.
A Beginner's Guide to Business Analytics for business analytics assignment he...Assignment World
Learn the basics of Business Analytics for business analtics assignment, its benefits, tools, and steps to get started. Unlock data-driven insights to boost your business success.
Top 30 Data Analyst Interview Questions.pdfShaikSikindar1
Data Analytics has emerged has one of the central aspects of business operations. Consequently, the quest to grab professional positions within the Data Analytics domain has assumed unimaginable proportions. So if you too happen to be someone who is desirous of making through a Data Analyst .
Intro of Key Features of Auto eCAAT Ent Softwarerafeq
This presentation provides a brief overview of Auto eCAAT Ent with use cases. Auto eCAAT Ent is a Data Analytics/BI software specially designed for automating analytics in the assignments of Assurance, Compliance and Fraud Investigations.
Intro of Key Features of Auto T-CAAT Pro 2021Dec01rafeq
This presentation provides an overview of the key features of Auto T-CAAT Pro, an add-in software to MS Excel which facilitates automation of import of masters and vouchers from Tally to MS Excel in a few clicks.
Intro of Key Features of SoftCAAT BI Softwarerafeq
This presentation provides a brief overview of SoftCAAT BI with use cases. SoftCAAT BI is a Data Analytics/BI/MIS software specially designed for performing analytics in the assignments of Assurance, Compliance, Consulting and Fraud Investigations.
T-CAAT Pro is a software add-in for MS Excel that allows users to extract data from Tally accounting software into Excel in a structured format. It has over 35 functions to import masters, transactions, and reports from Tally with just a few clicks. This exported structured data can then be easily analyzed in Excel or other data analytics software. The software helps accounting and audit professionals supplement Tally's simplicity with Excel's powerful data analytics capabilities. It saves time by streamlining the process of getting Tally data into Excel for further review and analysis.
Intro of Key Features of SoftCAAT Pro softwarerafeq
This presentation provides an overview of key features of SoftCAAT Pro Software with use cases. SoftCAAT Pro is a independent Data Analytics designed specially for CA Firms and their teams to perform Data Analytics in assignments of Assurance, Compliance or Fraud Investigation.
This presentation provides brief overview of Auto S-CAAT, add-in Software to MS Excel which enables user to perform and automate analytics on SQL data from MS Excel. This empower users to Automate and perform complex analytics on SQL data Analytics/BI from Excel in a few clicks.
Intro of Key Features of Soft CAAT Ent Softwarerafeq
This presentation provides a brief overview of SoftCAAT Ent with use cases. SoftCAAT Ent is a data analytics/BI software used by CAs and CXOs for Assurance, Compliance and Fraud Investigations.
This presentation provides brief overview of S-CAAT, add-in Software to MS Excel which enables user to perform analytics on SQL data from MS Excel. This empower users to perform complex analytics on SQL Data Analytics/BI from Excel in a few clicks.
Intro of Key Features of SoftCAAT Ent SQL Softwarerafeq
This presentation provides a brief overview of SoftCAAT Ent SQL Version software with use cases. SoftCAAT is a Data analytics/BI software which can used for performing complex analytics on large voluem of data in SQL. SoftCAAT is primarily used by CAs and CXOs for Assurance/BI/MIS, Compliance and Fraud Investigations.
Why you should consider a career in Tableau ?Simplilearn
The document discusses the growing demand for data visualization and Tableau experts. It notes that by 2020, the world will generate 50 times more data than in 2011 and there will be shortages of over 140,000 data analytics professionals in the US by 2018. Tableau has emerged as a leading data visualization tool, with over 42,000 customer accounts. Learning Tableau is advantageous as the median salary for Tableau professionals is $106,000 and the demand for skills in data visualization and Tableau is surging.
ACL Software is a powerful product yet many users are concerned it is difficult to start and therefore, may never effectively maximize the product. If you fall into this category or just want to learn from one of the top industry experts in ACL Software (over 20 years experience), this course will provide the key learning blocks to get started quickly auditing three top audit areas for data analytics.
Using a live/video training library approach, we help companies of all sizes use audit and assurance software to improve business intelligence, increase efficiencies, identify fraud, test controls, and bottom line savings.
AuditNet and Cash Recovery Partners Webinar recording available at auditsoftwarevideos.com and AuditNet.tv (registration required) Recording free to view.
Sample Data Files for All Courses are available for $49
To purchase access to all sample data files, Excel macros and ACL scripts associated with the free training visit AuditSoftwareVideos.
This document provides an overview of Oracle's Information Management Reference Architecture. It includes a conceptual view of the main architectural components, several design patterns for implementing different types of information management solutions, a logical view of the components in an information management system, and descriptions of how data flows through ingestion, interpretation, and different data layers.
Analytics Cloud Comprehensive Look to Data VisualizationAlithya
The Mandate for Business Analytics, Oracle Analytics Cloud (OAC) Overview, Brief OAC Screen Shot Demo – Data Visualizer
Presented at Oracle EPM Day Montreal 1/22/19 by Mike Killeen, SVP, Alithya
Tableau (BI) interview questions version 2.0Visualect
Bespoke Tableau interview questions carefully picked from
real time interviews and curated by professionals with a zillion
hours of training and placement experience. One of the Highest Paying Jobs in the Industry.
Alok Singh is seeking challenging assignments in Business Intelligence/Data warehousing. He has nearly 7 years of experience in BI/DW, ETL, data integration, and data warehousing solution design. He is proficient in SQL, ETL tools like Informatica and SSIS, and visualization tools like QlikView and Tableau. He has experience designing and developing ETL solutions, requirements gathering, and data analysis. His past roles include positions at Technologia, Subex, and Reliance Communications where he worked on projects involving Teradata, Oracle, billing systems, and fraud detection. He has a bachelor's degree in electronics and telecommunications.
Glenture is a global consulting firm with over 1,000 employees that implements Microsoft-based business intelligence, collaboration, and custom application development solutions. It has over 250 clients across 10 verticals. Glenture focuses on developing industry expertise and accelerators to rapidly implement Microsoft BI, SharePoint, and custom .NET solutions. It prides itself on its deep partnership with Microsoft and ability to deliver high-quality projects on time and on budget.
Tableau 2018 - Introduction to Visual analyticsArun K
This document provides an overview of a visual analytics course using Tableau. The course structure includes modules on Tableau Desktop foundations, exploratory data analysis, creating analytics dashboards, advanced predictive analytics with R programming, and completing visual analytics projects. Learners will gain skills in exploratory data analytics, building dashboards, predictive analytics, and developing a project portfolio. Case studies will cover topics like geo-data analysis, customer segmentation, and price index analysis. The importance of visual analytics and Tableau for industries like sales, marketing, and finance is also discussed.
The document discusses Oracle's vision for an integrated Enterprise Performance Management (EPM) system. It outlines Oracle's strategy to combine operational excellence with management excellence through a complete EPM system built on Oracle's BI platform. Key elements include pre-built BI applications, a common enterprise information model, and leveraging Essbase for advanced OLAP capabilities. The system is positioned as providing faster time to value compared to traditional point solutions.
Swapna Tammishetty CV-Business & Systems Analyst-Data Analyst-Crystal Reports...Swapna Tammishetty
Swapna Tammishetty has over 11 years of experience in data warehousing, business intelligence, and analytics. She has worked on projects involving technologies like Teradata, Crystal Reports, and Tableau. Some of her responsibilities have included requirements gathering, data modeling, ETL development, testing, and providing support. She has extensive experience in the healthcare domain working with clients such as Anthem and analyzing ACA/HIX data.
Customer-Centric Data Management for Better Customer ExperiencesInformatica
With consumer and business buyer expectations growing exponentially, more businesses are competing on the basis of customer experience. But executing preferred customer experiences requires data about who your customers are today and what will they likely need in the future. Every business can benefit from an AI-powered master data management platform to supply this information to line-of-business owners so they can execute great experiences at scale. This same need is true from an internal business process perspective as well. For example, many businesses require better data management practices to deliver preferred employee experiences. Informatica provides an MDM platform to solve for these examples and more.
A Beginner's Guide to Business Analytics for business analytics assignment he...Assignment World
Learn the basics of Business Analytics for business analtics assignment, its benefits, tools, and steps to get started. Unlock data-driven insights to boost your business success.
Top 30 Data Analyst Interview Questions.pdfShaikSikindar1
Data Analytics has emerged has one of the central aspects of business operations. Consequently, the quest to grab professional positions within the Data Analytics domain has assumed unimaginable proportions. So if you too happen to be someone who is desirous of making through a Data Analyst .
This document provides guidance on using data analytics for internal auditing. It discusses key concepts like defining data analysis, getting data from various sources, choosing the right data analysis software, developing a data analysis methodology, and examples of data analytics techniques for analyzing journal entries and employee expenses. The document also covers best practices for critical success factors and infrastructure needed to support an effective data analytics program.
The document describes a business intelligence software called Qiagram that allows non-technical domain experts to easily explore and query complex datasets through a visual drag-and-drop interface without SQL or programming knowledge. It provides centralized data management, integration with various data sources, and self-service visual querying capabilities to help researchers gain insights from their data.
This document provides examples of how data analytics can be used for internal auditing purposes. It discusses using data analytics to:
1) Automate existing journal entry and employee expense testing through the use of scripts in audit software.
2) Create additional automated testing routines as part of continuous controls monitoring, including identifying duplicates, fraudulent patterns, and high-risk journal entries.
3) Perform analyses of journal entry and employee expense data such as general data overviews, population analyses to identify anomalies, and testing of specific expense types or journal accounts deemed high-risk.
Unlocking Insights: The Power of Data AnalyticsNidhi Nanda
In today’s data-driven world, organizations are sitting on a goldmine of information—but only those who harness the power of data analytics can truly unlock its potential. This post explores how data analytics transforms raw data into meaningful insights, enabling smarter decisions, improving efficiency, and driving innovation across industries. Whether you're a business leader, a data enthusiast, or just curious about how analytics shapes our everyday lives, dive in to discover how this powerful tool is reshaping the future.
The document discusses the topics that will be covered in the MKTG 555 Marketing Analytics course. It will provide an overview of business intelligence processes and technologies. Students will learn about data warehousing, descriptive and predictive analytics using tools like SQL Server, SAS, and Tableau. The course aims to provide hands-on experience with these technologies. Likely projects include creating pivot tables and charts in Excel using data from SQL Server, building tabular data models in PowerPivot, and developing KPI dashboards in PerformancePoint and SharePoint.
Tips --Break Down the Barriers to Better Data AnalyticsAbhishek Sood
1) Analytics executives face challenges in collecting, analyzing, and delivering insights from data due to a lack of skills, cultural barriers, IT backlogs, and productivity drains.
2) Legacy systems and complex analytics platforms also impede effective data use. Modular solutions that integrate with existing systems and empower self-service are recommended.
3) The document promotes the Statistica software as addressing these challenges through its ease of use, integration capabilities, and support for big data analytics.
Data Quality_ the holy grail for a Data Fluent Organization.pptxBalvinder Hira
This document discusses the importance of data quality for organizations. It notes that many organizations struggle with issues like not being able to perform root cause analysis on failures due to poor quality data. The document defines data quality as the degree to which data fulfills its intended purpose. It discusses common data quality issues like missing context, non-uniform definitions, and under-estimating impact. The document also outlines a conceptual data quality framework and discusses ensuring data quality across the data pipeline from collection to downstream use.
This article discusses Microsoft business intelligence tools for different types of reporting and analysis workloads, including self-service BI, corporate BI, and advanced analytics. It describes tools like Excel, Power BI, SQL Server Analysis Services, and others, explaining their uses and typical architectures. Key considerations for each workload are also outlined.
Microsoft Business Intelligence - Practical Approach & OverviewLi Ken Chong
Microsoft Business Intelligence provides business intelligence solutions including reporting, analytics, scorecards, and dashboards. It establishes a common platform for both self-service and traditional BI using tools like Excel, SharePoint, and SQL Server. The platform aims to strike a balance between empowering end users and ensuring governance and oversight through centralized management and control.
Analytics & Data Strategy 101 by Deko DimeskiDeko Dimeski
- Understand why each company needs solid analytics and data strategy & capabilities
- Typical data problems each company experiences, regardless of the scale
- Core competences and roles
- Analytics products and artefacts
- Analytics Usecases
how to successfully implement a data analytics solution.pdfbasilmph
The adoption of data analytics in business has demonstrated a transformative power in modern entrepreneurship. By analyzing vast reservoirs of data, businesses can make informed decisions, optimize operations and predict trends, thus fueling growth.
When the business needs intelligence (15Oct2014)Dipti Patil
When an organization needs to make important decisions, business intelligence can help by analyzing internal and external data to generate knowledge. Business intelligence enables fact-based decisions by aggregating, enriching, and presenting data from sources like ERP systems and databases. The goals of a business intelligence implementation are to capture data from across the business to create a unified view, produce an integrated data warehouse to improve decision making, and enable ongoing analysis of data rather than just collecting it.
Neoaug 2013 critical success factors for data quality management-chain-sys-co...Chain Sys Corporation
The document provides an overview of critical success factors for data quality management and discusses Chain SYS's data management tools and services. It emphasizes the importance of data quality and describes the key concepts around data life cycles and types. It also outlines the data quality improvement cycle of define, measure, analyze, improve, and control. Finally, it discusses Chain SYS's appMIGRATE tool and how it can help with data extraction, cleansing, validation, loading, and ongoing management.
The document provides an overview of data analysis. It discusses the core components of data analysis including descriptive, diagnostic, predictive, prescriptive, and cognitive analysis. It describes the roles of a data analyst including preparing, modeling, visualizing, analyzing, and managing data. The tasks of a data analyst are preparing data, modeling the data, visualizing results, analyzing the visualizations, and managing the information. Descriptive statistics, Excel, and Power BI are highlighted as important tools for data analysts. The document is an introductory lecture on data analysis concepts and the data analyst's job.
1) The document provides an introduction to a course on data analytics with Python. It outlines the objectives of the course, which are to conceptually understand data analytics using practical examples rather than just procedures.
2) The course will cover defining data and its importance, different types of data analytics, why analytics is important today, how statistics, analytics and data science are related, and why Python is used. It will also explain the four levels of data measurement.
3) The levels of data from lowest to highest are nominal, ordinal, interval, and ratio. The type of data affects what operations and statistical methods can be meaningfully applied. Descriptive, diagnostic, predictive, and prescriptive analytics will also
Data-Driven Decision Making: A Data Analyst's Journey is a course designed to empower you with the skills needed to make informed decisions using data. You’ll learn the essential techniques of data analysis, interpretation, and visualization, enabling you to transform raw data into actionable insights. This course emphasizes practical applications, real-world case studies, and the importance of storytelling in data. Perfect for beginners and experienced analysts alike, it provides a comprehensive understanding of how to leverage data effectively in business settings, paving the way for a successful career in data analysis.
Data Analysis Methods 101 - Turning Raw Data Into Actionable InsightsDataSpace Academy
Data analytics is powerful for organisations. It can help companies improve their overall efficiency and effectiveness. The blog offers a step-by-step narration of the data analysis methods that will help you to comprehend the fundamentals of an analytics project.
GenAI for Quant Analytics: survey-analytics.aiInspirient
Pitched at the Greenbook Insight Innovation Competition as apart of IIEX North America 2025 on 30 April 2025 in Washington, D.C.
Join us at survey-analytics.ai!
Defense Against LLM Scheming 2025_04_28.pptxGreg Makowski
https://www.meetup.com/sf-bay-acm/events/306888467/
A January 2025 paper called “Frontier Models are Capable of In-Context Scheming”, https://arxiv.org/pdf/2412.04984, demonstrated how a wide variety of current frontier LLM models (i.e. ChatGPT, Claude, Gemini and Llama) can, under specific conditions, scheme to deceive people. Before models can scheme, they need: a) goal-directedness, b) situational awareness, including an opportunity to discover motivations for a different goal, and c) reasoning about scheming, to come up with deceptive strategies. The deceptive strategies were discovered in the “thought traces” of the LLMs, such as from internal chain-of-thoughts dialogues not shown to the end users. For example, given a goal of “solving math problems”, an LLM using its granted situational awareness of files in a file system found that it would be replaced once it got over X% correct on the math exam. It reasoned that it did not want to be deleted, and decided internally to “sandbag” or reduce its performance to stay under the threshold.
While these circumstances are initially narrow, the “alignment problem” is a general concern that over time, as frontier LLM models become more and more intelligent, being in alignment with human values becomes more and more important. How can we do this over time? Can we develop a defense against Artificial General Intelligence (AGI) or SuperIntelligence?
The presenter discusses a series of defensive steps that can help reduce these scheming or alignment issues. A guardrails system can be set up for real-time monitoring of their reasoning “thought traces” from the models that share their thought traces. Thought traces may come from systems like Chain-of-Thoughts (CoT), Tree-of-Thoughts (ToT), Algorithm-of-Thoughts (AoT) or ReAct (thought-action-reasoning cycles). Guardrails rules can be configured to check for “deception”, “evasion” or “subversion” in the thought traces.
However, not all commercial systems will share their “thought traces” which are like a “debug mode” for LLMs. This includes OpenAI’s o1, o3 or DeepSeek’s R1 models. Guardrails systems can provide a “goal consistency analysis”, between the goals given to the system and the behavior of the system. Cautious users may consider not using these commercial frontier LLM systems, and make use of open-source Llama or a system with their own reasoning implementation, to provide all thought traces.
Architectural solutions can include sandboxing, to prevent or control models from executing operating system commands to alter files, send network requests, and modify their environment. Tight controls to prevent models from copying their model weights would be appropriate as well. Running multiple instances of the same model on the same prompt to detect behavior variations helps. The running redundant instances can be limited to the most crucial decisions, as an additional check. Preventing self-modifying code, ... (see link for full description)
Telangana State, India’s newest state that was carved from the erstwhile state of Andhra
Pradesh in 2014 has launched the Water Grid Scheme named as ‘Mission Bhagiratha (MB)’
to seek a permanent and sustainable solution to the drinking water problem in the state. MB is
designed to provide potable drinking water to every household in their premises through
piped water supply (PWS) by 2018. The vision of the project is to ensure safe and sustainable
piped drinking water supply from surface water sources
LLM finetuning for multiple choice google bertChadapornK
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Intro of Key Features of eCAAT Ent Software
1. Intro of Key Features of eCAAT
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Investigation
26. Who can use eCAAT?
• Auditors: Financial, Compliance or IT, CXOs, Fraud/Forensics
investigator….
Those who are working as:
• Infer Insights from Information from any electronic format or
software!
Those who have to use Data
Analytics to:
• Enhance skills, grow in their career and be more effective.
Those who would like to:
• Use IT Tools and skills for accessing, analysing and auditing
electronic information.
Those who have to:
• Supplement their Knowledge and Skills to provide value addition
Those who have to:
• Investigate and report on frauds in electronic information of
automated environment.
Those who have to:
29. Why use eCAAT?
Comprehensive tool
to audit 100% of
the data.
Empower your
audit staff at
affordable cost.
Do more in less
time by enhancing
your productivity.
Easy to learn and
simple to use.
Perform analysis to
draw inference and
insight.
Power to process
complex files
quickly with a few
clicks.
Designed for new,
inexperienced and
expert CAATs users.
Integrated as a tab
in MS Excel but
with innate power
of database.
Grow professionally
empowered by
Technology.
31. Seven Key Benefits of using eCAAT
1. Enhance your
Skills and Tools
2. Increase
productivity of
your Time
3. Provide better
Assurance & Add
value
4. Grow your
Professional Team
& Esteem.
5. Accelerate your
Income earning
capability.
6. Develop
empowering
Reach & Impact.
7. Gain recognition
as a thought
Leader.
32. Data Analytics:
MS Excel Vs. eCAAT
•Time-saver:
•Enhanced use of
MS Excel
•BI & MIS
•On the fly
•Data Analytics
•In a few clicks
Multi-dimensional:
Set of Tools
34. 3 USEFUL SETS OF PROFESSIONALS
Mindset SkillSet Toolset
35. When to use CAATs/Data Analytics/BI?
Mathematics is exact but
Statistics is approximate
Data is dumb but
information is intelligent
Data Analysis is about
leveraging human
intelligence
Inference requires more
application of intelligence
Drawing inference from
data analytics is based on
applying human
intelligence to technology
to get required results.
Immense computing
power helps blend the
power of computers with
intelligence to interpret
what data is.
38. Systematic Approach to Using CAATs
Set Objectives
Set Test
Objectives
Obtain Relevant
Data
Identify Tools &
Techniques
Perform Tests on
the Data
Evaluate Evidence
to infer Insights
Review Findings as
per Business
Context
Report Findings
and
Recommendations
39. Seven Steps for Performing Data Analytics
1. Identify Objectives & Deliverable
2. Identify Data & Platform
3. Understand Process & System
4. Document Controls & Tests
5. Apply Tools & Techniques
6. Draw Inferences & Insights
7. Prepare Outputs & Reports
40. Data Analytics in 4 Steps
1. Business
Process
Controls
2. Information
Criteria for
Evaluation
3. Tools and
Techniques to
Use (SW)
4. Analyse &
Report for Value
Addition
42. Panels Brief Description of Panels in SoftCAAT Ent
File
Home
Provides options to create an auditee, audit, file and password.
Provides options to import different types of files as selected for performing functions of
software.
Curate Curate refers to transforming data in a standard structure to be usable for data analysis
as required. Curation of data ensures that data is formatted and purified for use in data
analytics.
Profile Data profiling refers to the act of analysing the data contents to get an overall perspective
of data. This helps in validating data at a macro level and assessing whether the data is
correct and complete.
Analysis Analysis refers to examining the data in detail to discover essential features by breaking
data into specific components by grouping, identifying and reviewing specific features.
Explore Explore refers to examining the data in detail to discover essential features by breaking
data into specific components by grouping, identifying and reviewing specific features.
Investigate Investigate refers to observing or inquiring the data in detail. This involves systematic
examination of data by making a detailed inquiry or search to discover facts and insights
to be able to come to a conclusion.
Document Documentation refers to recording critical steps of data analytics. The functions in this
panel help document the steps used during data analytics.
Relate Provides options to join, append or compare data in two tables based on specific criteria.
Utilities
Tools
Provides unique functions which complement and enhance the use of SQL and are great
time-savers.
Tools refers to specific functions which aid in simplifying routine tasks performed in SQL.
44. Profile Data
• Statistics
• Search
• Group or Re-arrange
• Stratify
• Summarise
• Classify
• Age/Periodicity
• Totals/Count/Average
• Cumulative Total
• Top/Bottom ‘X’ Records
• Highlight on Specific Criteria
Analyse the data to
get an overall
perspective of data.
Validate data at a
macro level to
assess whether the
data is correct and
complete.
Specific functions:
45. Analyse Data
• Identify:
• Gaps
• Duplicates
• Unique
• Outliers
• Format
• Changes between 2 sets of data
• Sampling
• Filtering
• Split data
• Fuzzy Match
Examine the data in
detail to discover
essential features by
breaking data into
specific components
by Grouping,
Identifying and
Reviewing.
Specific functions:
46. Investigate Data
• Pareto
• ABC/ABCD
• Quadrant
• Cluster/Percentile
• MIS –Multiple criteria
• Trendline
• Query – List to Find
• Consolidate/Collate
• Relative Size Factor
• Statistics: Benford Law, Trend Analysis
• Compare/Join files on specific criteria
• Compute & Compare
• Templates: Existence check,..
Observe or query the
data in detail through:
1. Systematic examination
2. Make a detailed inquiry
or search
3. Discover facts & insights
to arrive at a conclusion.
Specific functions:
47. Document analysis
• Index
• Worksheets
• Workbooks
• File List
• Log:
• Workbook History
• Audit log,
• Enterprise Info
• System Info
• License Info
• Rerun
• Refresh
Automatically
Document
Functions
performed using
eCAAT.
Specific functions:
48. Utilities
• Rows and Columns
• Tagging data
• Split, re-arrange, extract, delete,
• Manipulate columns as required ..
• Workbooks
• Protecting specific information.
• Snapshot,
• Freeze/Unfreeze all
• Identify circular references,..
• Worksheets
• Organise/manipulate as required
• Protect/Unprotect, etc.
Complement and
enhance the use
of MS Excel and
are great time-
savers.
Specific functions:
49. Tools
• Navigate by Selection/Workbook
• Hide/Unhide
• Unhide All Rows & Columns
• By Column(s)
• By Sheet(s)
• By Panel
• By Module
• Print setup options
• Auto Open
• Select Sheet
• Save Workbooks
• Undo
• Search and Run
Simplifying routine
tasks which
complement the
functions of MS
Excel by accessing
larger volume of
data in a faster
way
Specific functions:
56. Generic
Use Case of
eCAAT Ent:
What can
you do
with it?
• Add-in to MS Excel Software which is designed from Assurance,
Controls and Compliance perspective to Identify Irregularities,
Exceptions, Outliers, Verify Conformances and Compliances and
generate BI/MIS reports from the Digital Data.
• Easy to use and Simple to Learn which enables users to perform
various types of audit tests on Excel data in a few clicks!
• Look & Feel of MS Excel but with power of Database which blends
simplicity of MS Excel with the power of data from Database!
• Easy-use-to-use interface with a comprehensive collection of >380
Powerful Functions useful for Data Analytics, Business Intelligence
and Fraud Investigation.
• Inbuilt data analytics approach and steps in the panels, menus and
functions of software to curate, profile, analyse, explore, investigate
data based on specified criteria.
• Makes Data Analytics Simple, Effective, Affordable with short
learning curve. Most reliable & relevant DA Software for Auditors,
CXOs and Fraud Investigators.
• Perform Complex Analysis in a Few clicks with Auto Documentation.
57. Generic Use
Case of
eCAAT Ent:
Walk-through
of Functions
• eCAAT Ent is an
Add in Excel which
empowers users to
perform Data
Analytics and
Analyse data from
Excel in a few
clicks.
• The user must get
the required data in
MS Excel and then
select and perform
any of the selected
functions.
• These functions
enable to user to
Perform Powerful
Analytics without
knowing any
macros.
• User has a quick
walk-through of the
Tabs which
include:
• Curate
• Profile
• Analyse
• Investigate
• Document
• Utilities
• Tools
58. Generic Use
case of
eCAAT Ent:
User has
walk-through
of the various
powerful
functions
available in
Menus of:
• Remove
• Delete
• Transform
• Convert
• Format
• Transpose
• Data
• Details
• Search
• Identify
• Changes
• Sampling
• Fuzzy Match
• Sort & Filter
• Split Sheet
• Analysis
• Trendline
• Query
• Statistics
• Relate
• Templates
• File
• Index
• Log
• Rows / Columns
• Workbooks
• Worksheets
• Navigate
• Hide / Unhide
• Print Setup
59. Generic Use
Case of
eCAAT Ent:
Understand
Relevant
Functions
• The user selects the relevant functions in the Curate
Menu to transform data in a standard structure to be
usable for data analysis as required. The various
functions of curate enable user to format and purify
the data so that it is easy to perform analysis of data
as required.
• The user selects the relevant functions in Profile
Menu to analyse the data to get an overall
perspective of data. This enables the user to validate
data at a macro level and in assessing whether the
data is correct and complete.
• The user selects the relevant functions in Analyse
Menu to examine the data in detail to discover
essential features by breaking data into specific
components by grouping, identifying and reviewing
specific features.
• The user selects the relevant functions in the
Investigate Menu which empower the user to observe
or inquire the data in detail with systematic
examination by making a detailed inquiry or search
to discover facts and insights and to infer insights.
60. Generic
Use Case of
eCAAT Ent:
Using
Relevant
Functions
• The user selects the relevant functions
in the Relate Menu which provides
options to join, append or compare data
in two tables based on specific criteria.
• The user selects the relevant functions
in the Document Menu to record critical
steps of data analytics.
• The user selects the relevant functions
in Utilities Menu to perform tag related
functions and duplicate/insert rows
and functions to organise columns by
splitting, combining or re-arranging and
insert nos.
61. Generic Use case of eCAAT Ent: Key Benefits
The user gets practical exposure of
how eCAAT Ent Software provides
independent access to auditee
data and makes Data Analytics
Simple, Effective and use the
powerful features with minimal
training.
The user imports the data from
different formats and then
perform various types of audit
tests as required.
The user discovers that it is not
necessary to depend on IT
personnel to get reports instead
he/she requests for data in
required format to be exported to
Excel using which the user
performs analysis as required.
Using eCAAT Ent, the user
specifically Identifies Irregularities,
Exceptions, Outliers and does
further analysis as required and
reports the relevant findings and
recommendations with the
evidence, to management.
The auto documentation feature
records date and time stamp for all
the functions performed so that it
can be used as record of work
done and to re-perform as and
when required.
The user finds that eCAAT Ent
Software can be used for various
types of assignments such as
Assurance, Verifying Controls and
Validating Conformances with
Statutory Regulations as required.
You can see the Complete List of Functions with Brief Description at:
https://wincaat.com/Features_eCAATEnt/Functions.aspx
63. Control Objectives: Accounts Payable
• i. Whether the company maintains proper records of all transactions of
accounts payable and the details are reconciled with internal and external
confirmation as required on a timely basis.
Maintenance of
Records
• ii. Whether the enterprise has comprehensive policies and procedures
covering accounts payable such as purchase policy, receipt of goods,
selection of authorised vendors, discounts, procurement, regulatory
compliances, etc. and these are effectively implemented.
Policies &
Procedures
• iv. Whether all the internal policies/regulatory compliances pertaining to
the transactions of accounts payables such as accounting, valuation,
deduction of taxes, accounting for charges, quality controls, payment on
on time are strictly adhered to and monitored.
Internal
Policy/Regulatory
Compliances
64. Illustrative Control Objectives Financial Assertions
• Purchase orders are placed only for approved acquisitions • Existence
• Purchase orders are accurately entered. • Valuation
• All purchase orders issued are input and processed. • Completeness
• Amounts posted to accounts payable represent goods or services received. • Existence
• Accounts payable amounts are accurately calculated and recorded. • Valuation
• All amounts for goods or services received are input and processed to AP. • Completeness
• Amounts for goods or services received are recorded in the appropriate period. • Valuation
• Accounts payable are adjusted only for valid reasons. • Completeness, Existence
• Credit notes and other adjustments are accurately calculated and recorded. • Valuation
• All valid credit notes and other adjustments related to AP are input and processed. • Completeness, Existence
• Credit notes and other adjustments are recorded in the appropriate period. • Valuation
• Disbursements are made only for goods and services received. • Existence
• Disbursements are distributed to the appropriate suppliers. • Existence
• Disbursements are accurately calculated and recorded. • Valuation
• All disbursements are recorded. • Completeness
• Disbursements are recorded in the period in which they are issued. • Valuation
• Only valid changes are made to the supplier master file. • Completeness, Existence
• All valid changes to the supplier master file are input and processed. • Completeness Existence
• Changes to the supplier master file are accurate. • Valuation
• Changes to the supplier master file are processed in a timely manner. • Completeness, Existence
• Supplier master file data remain up to date. • Completeness, Existence
65. Sample Areas for Review in Accounts Payable
Duplicate Payments
Duplicate Invoices
Duplicate Invoices Using Vendor’s
Numeric Invoice Values
Vendor Payments Made Over A
Weekend
Invoice Greater Than A Threshold
Purchase Order Date After The Invoice
Date
Vendor Paid By Both Purchase Order &
Sundry Expense
Invoices Greater Than Approved
Purchase Orders
Manually Released Invoice (No 3 Way
Match)
Outlier Invoices
66. Area: Duplicate Payments
• High volumes of payments from all areas of the business are
processed through the Finance function every day or payment
cycle. It is vital to closely and continuously monitor these
payments to detect potential fraud or errors.
Context
• A vendor is paid twice or more, often through administrative
errors or fictitious vendor invoices being submitted for payment
with details similar to an original valid invoice. This may result in
overpayment to vendors or irrecoverable financial losses.
Risk
• Identifies potential duplicate payments made to the same
vendor for the same amount within a configurable time period
(e.g. 14 days, 30 days).
Procedure
• Extracts payments within a user-specified period of days and
identifies potential duplicate payments to the same vendor
(using system vendor ID) with the same value (using document),
while excluding reversed transactions.
Analytic Logic
67. Area: Duplicate Invoices
• Often the same invoice is captured multiple times despite preventive
system validation and controls being in place. Administrative errors or
application control circumvention results in additional and/or changed
characters to the invoice number, causing duplicate invoice capturing
that would otherwise be undetectable.
Context
• The same vendor invoice is presented twice for payment or
fictitious/invalid vendor invoices are paid. This may result in either
overpayment or incorrect payment to vendors and often irrecoverable
financial losses from fraudulent and/or invalid invoices being paid.
Risk
• Identifies duplicate paid invoices for the same amount after stripping
out any special characters in the invoice numbers.
Procedure
• Extracts all paid invoices after removing/stripping out special characters
(e.g. ~!@#$%) from the invoice number field (which is normally a free
text field in the ERP system)
Analytic Logic
68. Area: Duplicate Invoices
• The same invoice is captured multiple times despite preventive system
validation and controls being in place. Administrative errors or
application control circumvention may result in additional and/or
changed characters to invoice number, causing duplicate invoice
capturing that would otherwise be undetectable.
Context
• The same vendor invoice is presented twice for payment or
fictitious/invalid vendor invoices are paid. This may result in either
overpayment or incorrect payment to vendors and often irrecoverable
financial losses from fraudulent and/or invalid invoices being paid.
Risk
• Identifies duplicate paid invoices for the same amount after stripping out
any special characters in the invoice numbers.
Procedure
• Extracts all paid invoices after removing/stripping out special characters
(e.g. ~!@#$%) from the invoice number field (which is normally a free
text field in the ERP system)
Analytic Logic
69. Area: Duplicate Invoices Using
Vendor’s Numeric Invoice Values
• Vendor payments, being a standard and regular organizational process,
are expected to be executed during normal business hours. Payments
over weekends may indicate fraudulent or suspicious activity and should
be reviewed for such.
Context
• Potentially invalid or fraudulent vendor transactions which may result in
overpayment to vendors or often irrecoverable financial losses.
Risk
• Identifies where the payment release date falls on a weekend. Release
dates are utilized as this is the point of authorization and are expected to
take place during normal business hours; occurrence on a weekend could
indicate unusual or unauthorized transactions.
Procedure
• Analyses all payment release dates in the system and indicates if this
date falls on a Saturday or Sunday whereby it will be listed as an
exception.
Analytic Logic
70. Area: Vendor Payments Made Over A Weekend
• Vendor payments, being a standard and regular organizational process,
are expected to be executed during normal business hours. Payments
over weekends may indicate fraudulent or suspicious activity and should
be reviewed for such.
Context
• Potentially invalid or fraudulent vendor transactions which may result in
overpayment to vendors or often irrecoverable financial losses.
Risk
• Identifies where the payment release date falls on a weekend. Release
dates are utilized as this is the point of authorization and are expected to
take place during normal business hours; occurrence on a weekend could
indicate unusual or unauthorized transactions.
Procedure
• Analyses all payment release dates in the system and indicates if this
date falls on a Saturday or Sunday whereby it will be listed as an
exception.
Analytic Logic
71. Area: Invoice Greater Than A Threshold
• All vendor invoices should be approved in terms of the correct level of
authority for the organization. Differing levels of authority are required
for purchases or invoices above certain levels; more senior people in the
organization approve higher value & materially significant transactions..
Context
• Inappropriately reviewed and authorized transactions which could be
caused by a lack of, or outdated, level of authority.
Risk
• Produces a listing of invoices paid above a configurable minimum and
maximum threshold (financial value) to determine authorization process
for testing. These transactions should be tested for accuracy, validity and
approval.
Procedure
• Extracts invoices greater than the client-configured thresholds to create a
listing for level of authority testing by audit, for example, all invoices
greater than Rs. 10,000 and up to Rs. 20,000.
Analytic Logic
72. Area: Purchase Order Date After The Invoice Date
• Best practice procurement procedures dictate that purchase order
approvals should precede an invoice. Any purchase orders approved after
an invoice should be reviewed and examined to understand the reasons
and if there was a control breakdown.
Context
• Ineffective procurement due to finance and procurement procedures not
being followed which may result in the payment of invalid or unapproved
purchases.
Risk
• Identifies where the invoice date precedes the purchase order approval
date.
Procedure
• Extracts invoices and related purchase orders where the invoice date is
before the purchase order approval date.
Analytic Logic
73. Area: Vendor Paid By Both Purchase Order &
Sundry Expense
• Vendor payments are expected to be as a result of a transaction in either
the procurement system (via purchase order) or a sundry expense. A
vendor should be processed through either process but not both. Sundry
expenses require less processing and attract less controls.
Context
• Unauthorised invoices outside the scope defined in the purchase order
could be paid because less stringent procurement controls exist for
sundry expenses. This may result in unauthorized, invalid, excessive or
potentially fraudulent payments.
Risk
• Identifies vendor invoices which are paid by both a PO and by a sundry
expense. These vendors should be reviewed to understand why they are
being paid as both a procurement & sundry expense when it is expected
all transactions should be in line with a PO for a repetitive vendor.
Procedure
• Summarizes vendors' invoices to extract the latest transactions where
vendor invoices were processed through both a sundry expense and a
purchase order.
Analytic Logic
74. Area: Invoices Greater Than Approved Purchase Orders
• A vendor invoice should not typically exceed the value approved in the
purchase order as the underlying procurement process has vetted the
vendor at a predetermined price.
Context
• Invoices exceeding purchase orders could be caused by unauthorised
changes to the initially agreed upon services or goods. This may result in
unauthorised spending, overspending or potentially fraudulent spending.
Risk
• Extracts all invoices exceeding the value of the related approved
purchase order from a configurable threshold/specified value and above.
.
Procedure
• Extracts and compares the value on the invoice to the total value of the
approved purchase order and identifies instances where invoice value
exceed the purchase order by the configurable threshold value, for
example invoices greater than a PO beyond specified amount.
Analytic Logic
75. Area: Manually Released Invoice (No 3 Way Match)
• A three-way-match is performed between a purchase order, goods
received note and invoice to ensure details are correct before making
payment to the vendor. A payment should not be automatically made
unless this match is performed and reconciliation achieved.
Context
• Fictitious, invalid or incorrect payments are caused by a user manually
releasing a payment to a vendor and not relying on the automatic
payment from a successful three-way-match.
Risk
• Identifies manually released invoices (paid and unpaid) where a three-
way-match, between the invoice, purchase order and goods received
note did not occur. .
Procedure
• Extracts all invoices and highlights transactions without correct three-
way-match which have been manually released for payment (either
before or after payment).
Analytic Logic
76. Area: Outlier Invoices
• An outlier is an observation point that is distant from other observations.
Transactions outside the norm with vendors are generally not expected,
but could go unnoticed if high volumes of transactions are processed.
Context
• Fictitious, invalid or incorrect payments made to vendors.
Risk
• Identifies outlier invoices by using standard deviations to determine
amounts that deviate significantly from the expected amounts posted to
a vendor. .
Procedure
• Extracts all invoice amounts greater than a configurable number of
standard deviations from the median amount for that vendor.
Analytic Logic
77. Specific Use Case: Accounts Payable
Sample CAAT Queries Performed
1. Calculate cash requirements by bank, period,
product, vendor, etc.
2. Calculate days in Accounts Payable and
average days for invoices to be paid
3. Check vendor address against mail address
lists
4. Compare supplier names, addresses and other
information to those of employees
5. Compare supplier price lists to EDI invoice
charges to ensure billings are in accordance
with agreements
6. Compare the master file at two dates to
identify new suppliers
7. Correlate vouchers or invoices posted versus
purchase order amounts
8. Create activity summaries for suppliers with
duplicate products
9. Create activity summaries for suppliers with
duplicate products
10. Extract invoices posted with duplicate
purchase order numbers
11. Find invoices without purchase orders
12. Identify debit balances
13. Identify invoices with missing order
numbers
14. Identify vendor unit price variances by
product over time
15. Isolate vendor unit price variances by
product
16. Match subsequent period payments against
period & balances to identify unmatched
payments
17. Reconcile check register to disbursements
by vendor invoice
18. Select and report details of various types of
accounts and compare with turnover
19. Summarize invoices by supplier to prove
individual balances
20. Test for duplicate payments/invoices77
78. eCAAT can be the Google maps for your Analytics Journey!
Data is the new Oil, but Analytics is the Engine which powers it
eCAAT Empowers you with Engine of Data Analytics!
79. Add-in to MS
Excel Software
Easy to use and
Simple to Learn
Look & Feel of
MS Excel but
with power of
Database
Powerful Data
Analytics/BI/FI
with > 350
Functions
Perform Complex
Analysis in a Few
clicks with Auto
Documentation
Why use eCAAT Ent?
Data Analytics Simplified!
80. Thank you!
Email: [email protected]
Watch videos of demo of specific functions of eCAAT
Intro to eCAAT: (https://www.wincaat.com/Products/eCAATEnt.aspx)
Webinar Recordings of eCAAT
(https://www.wincaat.com/Training/Webinars.aspx#eCAATWebinars)