Establishing Production Capability (PC) to use Automated Data Analysis Tools and Resources

Size: px
Start display at page:

Download "Establishing Production Capability (PC) to use Automated Data Analysis Tools and Resources"

Transcription

1 Establishing Production Capability (PC) to use Automated Data Analysis Tools and Resources To increase the effectiveness of the Citizens Internal Audit effort. Prepared By: I. Steve Wolkomir CPA Citizens Director of Internal Audit File: Audit Planning Establishing PC Data Analysis Tools 1

2 What is the purpose of using Data Analysis Tools? To proactively identify control issues ideally before they impact Citizens. To search for areas of possible cash recovery. Ask: What areas within Citizens might we have potential for cash recovery? To use technology to improve business processes. Manual process analysis takes too long. Maximizes/leverages IA s time. What types of Data Analysis Tools are available and what are their characteristics? ACL (IDEA is similar): Can validate integrity and accuracy of transactions at the transaction data level (i.e., raw data), versus using and relying upon older data queries; thus providing business assurance. Can access entire population of data, with no limitation, and is platform independent. Is a parameter based system; must know what you want to achieve. Has rather steep learning curve to learn basic and then learn to script or write applications. As a result, once begun, it must be used often. Model is to have dedicated staff to use and apply. Adapts well to Continuous Audit Assurance; i.e., once a test set or script is developed, it can be run multiple times at little additional cost. 2

3 Tools availability/characteristics (Cont d)? WizRule: A Data Mining auto-rule generator tool. Nearly the opposite approach to a parameter based tool as Data Mining is defined to be: The nontrivial extraction of implicit, previously unknown, and potentially useful information from data. It uses machine learning, statistical (e.g. the tool ActiveData for Excel; a possible useful tool for IA) and visualization techniques (e.g. the tool BI3) to discover and present knowledge in a form easily comprehensible to humans. This tool finds all rules in a database and tries to break them; i.e., to find exceptions to the rule(s)/norm. Exceptions then can be further analyzed and investigated. It assumes, as does those knowledgeable in data bases, that there are a great number of errors that occur in data bases; whether unintentional or intentional or through malfunction. Unlike ACL, this tool is simple to use. Like ACL, this tool adapts very well to being used continuously. 3

4 Tools availability/characteristics (Cont d)? All of these tools have a few things in common: They all facilitate finding uncommon exceptions. They all augment and support audit, review and investigative efforts. They all support a much more continuous look at a set of data or control points, versus the traditional approach of looking at data/control points at a point in time; with an historic backward look. They all are Heuristic in nature; An art and science of discovery. A way of directing our attention much more fruitfully. A way of reviewing data base populations down to the transaction level; a practical impossibility otherwise. Acts like divining rods that don t necessarily provide an exact answer, but rather point us in the right general direction. Note: ACL, being more of a parameter tool, will be more likely to produce more specific answers than the more pure Data Mining tools. 4

5 IA s Action Plan is as follows: Committed to establishing PC to use Data Analysis tools. With regard to ACL, IA s Plans are; Typical traditional approach would be to; Buy the software $2k to purchase and $420 per year to warrant and obtain customer support. Train on the software» Attend vendor seminars ($1,300, $1,350, and $1,650)» Buy books.(see below for test sets)» Talk to users. Apply using Trial and Error; very time consuming with IA having no time for this. Run Reports, with no certainty of success. IA s approach will be a paradigm shift; Run Reports» Will, at no cost, obtain ACL Beta license for 60 days.» Will purchase two books for $200 per from a vendor who specializes in writing test sets/scripts. The $400 will include over 100 test sets in both A/P and Revenues.» Depending on the approved Audit Plan, IA will run selected reports either ad hoc or within the scope of an audit.» IA will then report on the results of this testing. This up-front method effectively eliminates the Trial and Error period shown above. After some successes, IA will purchase the software, and through training or other means, will work toward developing test sets tailored to Citizens unique environment. This may include;» Purchasing tailored test sets from the above mentioned vendor who bills his work at $125/hr. This vendor would be given access to our data base in a controlled manner, extract data, and analyze that data. Again, the end result is what IA is focused upon. This approach lets the computer do the data analysis; with IA concentrating on results. Advantages include; These pre-developed test sets were developed to get fast results. The test sets include;» Audit objectives, Audit Program Steps, and Reports that can be s elected to accomplish specific Audit Objectives. Minimizes risk and investment. Can be run continuously with little IA time. With regard to WizRule; IA plans on buying this tool and using it as soon as possible. With regard to ActiveData for Excel, IA plans on looking into the purchase/use of this tool. 5

6 Any questions or comments? 6

Data Mining: Unlocking the Intelligence in Your Data. Marlon B. Williams, CPA, ACDA Partner, IT Advisory Services Weaver

Data Mining: Unlocking the Intelligence in Your Data. Marlon B. Williams, CPA, ACDA Partner, IT Advisory Services Weaver Data Mining: Unlocking the Intelligence in Your Data Marlon B. Williams, CPA, ACDA Partner, IT Advisory Services Weaver 0 Today s Agenda Big Data What is it? Data Mining at a Glance Why the Accounting

More information

Preferred Strategies: Business Intelligence for JD Edwards

Preferred Strategies: Business Intelligence for JD Edwards Preferred Strategies: Business Intelligence for JD Edwards For the fourth year in a row, Business Intelligence software tops the list for IT investments according to Gartner Research. If you are not currently

More information

DATA MINING TECHNIQUES FOR CRM

DATA MINING TECHNIQUES FOR CRM International Journal of Scientific & Engineering Research, Volume 4, Issue 4, April-2013 509 DATA MINING TECHNIQUES FOR CRM R.Senkamalavalli, Research Scholar, SCSVMV University, Enathur, Kanchipuram

More information

2/5/2013. Session Objectives. Higher Education Headlines. Getting Started with Data Analytics. Higher Education Headlines.

2/5/2013. Session Objectives. Higher Education Headlines. Getting Started with Data Analytics. Higher Education Headlines. + Getting Started with Data Analytics Prepared for the UCOP Auditor s Symposium January 30, 2013 and February 14, 2013 Session Objectives 2 Higher Education Headlines New IIA Guidance Visual Risk IQ s

More information

Survey of more than 1,500 Auditors Concludes that Audit Professionals are Not Maximizing Use of Available Audit Technology

Survey of more than 1,500 Auditors Concludes that Audit Professionals are Not Maximizing Use of Available Audit Technology Survey of more than 1,500 Auditors Concludes that Audit Professionals are Not Maximizing Use of Available Audit Technology Key findings from the survey include: while audit software tools have been available

More information

HOW DO YOU MAKE COMPLEX DATA FUNCTIONAL AND RELIABLE?

HOW DO YOU MAKE COMPLEX DATA FUNCTIONAL AND RELIABLE? The Industry Insurance is the backbone of modern innovation. In its absence, thousands of modern businesses and individuals would be unable to live productive lives or take the risks necessary for progress.

More information

Introduction to Data Mining and Machine Learning Techniques. Iza Moise, Evangelos Pournaras, Dirk Helbing

Introduction to Data Mining and Machine Learning Techniques. Iza Moise, Evangelos Pournaras, Dirk Helbing Introduction to Data Mining and Machine Learning Techniques Iza Moise, Evangelos Pournaras, Dirk Helbing Iza Moise, Evangelos Pournaras, Dirk Helbing 1 Overview Main principles of data mining Definition

More information

Data Mining Techniques and Opportunities for Taxation Agencies

Data Mining Techniques and Opportunities for Taxation Agencies Data Mining Techniques and Opportunities for Taxation Agencies Florida Consultant In This Session... You will learn the data mining techniques below and their application for Tax Agencies ABC Analysis

More information

A Review of Data Mining Techniques

A Review of Data Mining Techniques Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology IJCSMC, Vol. 3, Issue. 4, April 2014,

More information

Transforming the Telecoms Business using Big Data and Analytics

Transforming the Telecoms Business using Big Data and Analytics Transforming the Telecoms Business using Big Data and Analytics Event: ICT Forum for HR Professionals Venue: Meikles Hotel, Harare, Zimbabwe Date: 19 th 21 st August 2015 AFRALTI 1 Objectives Describe

More information

BIG DATA What is it? Data Mining: Unlocking the Intelligence in Your Data. Today s Agenda 1/16/2014. Big Data What is it? Data Mining at a Glance

BIG DATA What is it? Data Mining: Unlocking the Intelligence in Your Data. Today s Agenda 1/16/2014. Big Data What is it? Data Mining at a Glance Data Mining: Unlocking the Intelligence in Your Data Marlon B. Williams, CPA, ACDA Partner, IT Advisory Services Weaver Brian J. Thomas, CISA, CISSP Partner-in-Charge, IT Advisory Services Weaver 0 Today

More information

Introduction to Data Mining

Introduction to Data Mining Introduction to Data Mining a.j.m.m. (ton) weijters (slides are partially based on an introduction of Gregory Piatetsky-Shapiro) Overview Why data mining (data cascade) Application examples Data Mining

More information

AuditNet 2012 Survey Report on Data Analysis Audit Software

AuditNet 2012 Survey Report on Data Analysis Audit Software AuditNet 2012 Survey Report on Data Analysis Audit Software Data analysis technology tools provide auditors with tremendous opportunities in today's digital world. However according to the IIA's Global

More information

OVERVIEW OF THE ISSUE

OVERVIEW OF THE ISSUE Feature Automated Audit Testing for Sap Data Benefit or Just Another Black Box? Stefan Wenig is chief executive officer (CEO) of the dab:group, a company that specializes in data extraction, analysis of

More information

Data Analytics Leveraging Data Visualization and Automation in Audit Real World Examples

Data Analytics Leveraging Data Visualization and Automation in Audit Real World Examples Data Analytics Leveraging Data Visualization and Automation in Audit Real World Examples June 3, 2015 Cliff Stephens, CISA Agenda Introductions Technological Advances in Analytics Capitalizing on Analytics

More information

Microsoft Confidential

Microsoft Confidential Brock Phillips, CPA, CFE, CCEP Forensic Accounting Sr. Manager Financial Integrity Unit Microsoft Audit Group Lou DeCola, CPA, CIA, CFE Forensic Accounting Sr. Manager Financial Integrity Unit Microsoft

More information

Software License Monitoring

Software License Monitoring Software License Monitoring Leverage asset management data to quickly turn information into knowledge that can form the basis of ongoing IT planning. Reduce software costs and manage license compliance

More information

Fig. 1 Southwest Credit s Continuous Improvement Strategy

Fig. 1 Southwest Credit s Continuous Improvement Strategy Collections contact centers and Accounts Receivables Management (ARM) firms face a constant challenge: being able to maximize payments while staying compliant and up to date with new rules and regulations.

More information

Analytics for Oil & Gas

Analytics for Oil & Gas Analytics for Oil & Gas Table of Contents Project Delivery. 3 Sales & Operations. 5 Resources. 8 Finance. 10 Contact Us. 14 2 Are you tracking and maximizing the profitability of every project? Don t let

More information

Chapter 7 - Month End & Year End Close

Chapter 7 - Month End & Year End Close Chapter 7 - Month End & Year End Close This Section Includes: 7.1 Close Period 7.2 Prepare to Close the Ledger (Year End Close) 7.3 Process the Year End Transactions 7.3.1 Processing the Year End Close

More information

BI Software Implementation Pitfalls

BI Software Implementation Pitfalls BI Software Implementation Pitfalls Sis en se July 2014 What to examine before deciding on a BI solution Index Part #1 What to consider before choosing a BI solution Part #2 Tips for a successful Proof

More information

Modern IT Operations Management. Why a New Approach is Required, and How Boundary Delivers

Modern IT Operations Management. Why a New Approach is Required, and How Boundary Delivers Modern IT Operations Management Why a New Approach is Required, and How Boundary Delivers TABLE OF CONTENTS EXECUTIVE SUMMARY 3 INTRODUCTION: CHANGING NATURE OF IT 3 WHY TRADITIONAL APPROACHES ARE FAILING

More information

Business Intelligence for the SME

Business Intelligence for the SME Business Intelligence for the SME White Paper Mark Canes ABSTRACT A white paper explaining why Business Intelligence is becoming important to small and mid-size businesses in order to enhance fast and

More information

A business intelligence agenda for midsize organizations: Six strategies for success

A business intelligence agenda for midsize organizations: Six strategies for success IBM Software Business Analytics IBM Cognos Business Intelligence A business intelligence agenda for midsize organizations: Six strategies for success A business intelligence agenda for midsize organizations:

More information

Challenges of Analytics

Challenges of Analytics Challenges of Analytics Setting-up a Data Science Team BA4ALL Eindhoven November 2015 Laurent FAYET CEO @lbfayet www.artycs.eu 1 Agenda 1 About ARTYCS 2 Definitions 3 Data Value Creation 4 An Approach

More information

TECHNOLOGY CONSULTING SERVICES DIRECTOR AH Consulting

TECHNOLOGY CONSULTING SERVICES DIRECTOR AH Consulting TECHNOLOGY CONSULTING SERVICES DIRECTOR AH Consulting Present day organisations are under pressure to increase accountability and transparency as an assurance tool through: Real time reports Instant identification

More information

Outline. What is Big data and where they come from? How we deal with Big data?

Outline. What is Big data and where they come from? How we deal with Big data? What is Big Data Outline What is Big data and where they come from? How we deal with Big data? Big Data Everywhere! As a human, we generate a lot of data during our everyday activity. When you buy something,

More information

North Highland Data and Analytics. Data Governance Considerations for Big Data Analytics

North Highland Data and Analytics. Data Governance Considerations for Big Data Analytics North Highland and Analytics Governance Considerations for Big Analytics Agenda Traditional BI/Analytics vs. Big Analytics Types of Requiring Governance Key Considerations Information Framework Organizational

More information

Data Mining is sometimes referred to as KDD and DM and KDD tend to be used as synonyms

Data Mining is sometimes referred to as KDD and DM and KDD tend to be used as synonyms Data Mining Techniques forcrm Data Mining The non-trivial extraction of novel, implicit, and actionable knowledge from large datasets. Extremely large datasets Discovery of the non-obvious Useful knowledge

More information

Tackling ERP Modernization: A New Approach for State and Local Government

Tackling ERP Modernization: A New Approach for State and Local Government Tackling ERP Modernization: A New Approach for State and Local Government Today s Speakers Joe Morris Lead Analyst Center for Digital Government Government Technology Mike Bailey Finance Director City

More information

Database Marketing, Business Intelligence and Knowledge Discovery

Database Marketing, Business Intelligence and Knowledge Discovery Database Marketing, Business Intelligence and Knowledge Discovery Note: Using material from Tan / Steinbach / Kumar (2005) Introduction to Data Mining,, Addison Wesley; and Cios / Pedrycz / Swiniarski

More information

Increasing Marketing ROI with Optimized Prediction

Increasing Marketing ROI with Optimized Prediction Increasing Marketing ROI with Optimized Prediction Yottamine s Unique and Powerful Solution Smart marketers are using predictive analytics to make the best offer to the best customer for the least cost.

More information

Current Uses and Trends in ACL and Data Mining

Current Uses and Trends in ACL and Data Mining Current Uses and Trends in ACL and Data Mining Weaver and Tidwell, L.L.P. January 10, 2013 Marlon B Williams, CPA, ACDA Partner, Assurance Reema Parappilly, CISA Senior Manager, IT Advisory Objective Discuss

More information

www.pwc.com PwC The Path Forward for Data Analysis and Continuous Auditing May 2011

www.pwc.com PwC The Path Forward for Data Analysis and Continuous Auditing May 2011 www.pwc.com The Path Forward for Data Analysis and Continuous Auditing May 2011 Agenda What are we hearing in the market? The CA Maturity Path Where to start? What is the difference between CA & CCM? Best

More information

Making Business Intelligence Easy. Whitepaper Measuring data quality for successful Master Data Management

Making Business Intelligence Easy. Whitepaper Measuring data quality for successful Master Data Management Making Business Intelligence Easy Whitepaper Measuring data quality for successful Master Data Management Contents Overview... 3 What is Master Data Management?... 3 Master Data Modeling Approaches...

More information

See below for data warehouse examples in New York State:

See below for data warehouse examples in New York State: TOPIC: Data Warehouses and Data Mining OFFICE: Auditor STATE: NY DATE: 04/17/2014 QUESTION / ISSUE: The New York State Comptroller's Office (OSC) is expanding its data mining functions. As part of this

More information

FAQ. ImageCast 6 Frequently Asked Questions

FAQ. ImageCast 6 Frequently Asked Questions FAQ ImageCast 6 Frequently Asked Questions Q. What is ImageCast 6? A. ImageCast 6 is a fast, intelligent, powerful solution for system imaging and deployment: Fast the new leader in System Imaging performance

More information

G Cloud Services Definition Document. Compliance Service. Invigilatis Limited. Contents. Pages. Invigilatis Applications 1.

G Cloud Services Definition Document. Compliance Service. Invigilatis Limited. Contents. Pages. Invigilatis Applications 1. G Cloud Services Definition Document Compliance Service Invigilatis Limited Contents Pages Invigilatis Applications 1 Modules 2 Business Intelligence 3 Service Definition 4-6 Service Levels Access Upgrades

More information

Whitepaper. 5 Dos and Don ts of Embedded Analytics. www.sisense.com

Whitepaper. 5 Dos and Don ts of Embedded Analytics. www.sisense.com Whitepaper 5 Dos and Don ts of Embedded Analytics Who Needs Embedded Analytics? Whether you re producing automation software, SaaS products or cloud applications, it s likely to assume you re collecting

More information

Effective Sales Compensation for SaaS Companies

Effective Sales Compensation for SaaS Companies Effective Sales Compensation for SaaS Companies Teanna Spence Co-Founder and Compensation Director Makana Solutions, Inc. tspence@makanasolutions.com 781-652-7021 Agenda SaaS Challenges Best Practices

More information

Financial Solutions. Herman Miller Financial Solutions: Powered by LEAF. 2014 Herman Miller, Inc.

Financial Solutions. Herman Miller Financial Solutions: Powered by LEAF. 2014 Herman Miller, Inc. Z Financial Solutions Financial Solutions We ve partnered with LEAF Commercial Capital to bring you Herman Miller Financial Solutions. LEAF s expertise in financing combined with our knowledge of work

More information

2004-2005 Performance Evaluation

2004-2005 Performance Evaluation 2004-2005 Performance Evaluation Name: Rod Myers Title: Research Analyst III, Institutional Research Evaluator: Barbara A. Stewart Period: March 1, 2004 through February 28, 2005 Date: 3/14/05 NOTE: Documentation

More information

Using Process Mining to Bridge the Gap between BI and BPM

Using Process Mining to Bridge the Gap between BI and BPM Using Process Mining to Bridge the Gap between BI and BPM Wil van der alst Eindhoven University of Technology, The Netherlands Process mining techniques enable process-centric analytics through automated

More information

These are some labor burden test queries that auditors can make if they have the contractor s or vendor s labor burden breakdown:

These are some labor burden test queries that auditors can make if they have the contractor s or vendor s labor burden breakdown: Applying Data Mining and Analytics to Efficiently Audit Vendors and Contractors By Paul Pettit, Protiviti Inc. Each year, companies spend billions of dollars to start up, operate and maintain their businesses

More information

Contents of This Paper

Contents of This Paper Contents of This Paper Overview Key Functional Areas of SharePoint Where Varonis Helps And How A Project Plan for SharePoint with Varonis Overview The purpose of this document is to explain the complementary

More information

Agile Business Intelligence Data Lake Architecture

Agile Business Intelligence Data Lake Architecture Agile Business Intelligence Data Lake Architecture TABLE OF CONTENTS Introduction... 2 Data Lake Architecture... 2 Step 1 Extract From Source Data... 5 Step 2 Register And Catalogue Data Sets... 5 Step

More information

The New Landscape of Business Intelligence & Analytics New Opportunities, Roles and Outcomes

The New Landscape of Business Intelligence & Analytics New Opportunities, Roles and Outcomes The New Landscape of Business Intelligence & Analytics New Opportunities, Roles and Outcomes Michael Corcoran Sr. Vice President & CMO Dr. Rado Kotorov Vice President, Market Strategy Summit 2015 Orlando

More information

CoolaData Predictive Analytics

CoolaData Predictive Analytics CoolaData Predictive Analytics 9 3 6 About CoolaData CoolaData empowers online companies to become proactive and predictive without having to develop, store, manage or monitor data themselves. It is an

More information

Whitepaper: Commercial Open Source vs. Proprietary Data Integration Software

Whitepaper: Commercial Open Source vs. Proprietary Data Integration Software Overview The debate about the advantages of open source versus proprietary data integration software is ongoing. The reality of the situation is that the decision about whether open source or proprietary

More information

Business process, document archiving and workflow, all words when joined together can add significant cost to your business

Business process, document archiving and workflow, all words when joined together can add significant cost to your business Business process, document archiving and workflow, all words when joined together can add significant cost to your business The management, maintenance and storage of hard copy documents within your business

More information

How To: Choosing the Right Catalog for Software License Management

How To: Choosing the Right Catalog for Software License Management Software License Management Guide How To: Choosing the Right Catalog for Software License Management Software License Management tools all rely on a catalog to reference and validate data. In this guide

More information

Facilitating Efficient Data Management by Craig S. Mullins

Facilitating Efficient Data Management by Craig S. Mullins Facilitating Efficient Data Management by Craig S. Mullins Most modern applications utilize database management systems (DBMS) to create, store and manage business data. The DBMS software enables end users

More information

IBM SmartCloud Monitoring

IBM SmartCloud Monitoring IBM SmartCloud Monitoring Gain greater visibility and optimize virtual and cloud infrastructure Highlights Enhance visibility into cloud infrastructure performance Seamlessly drill down from holistic cloud

More information

Data & Analytics in Internal Audit. January 13, 2015

Data & Analytics in Internal Audit. January 13, 2015 Data & Analytics in Internal Audit January 13, 2015 With You Today KPMG Brian Greenberg, Director, Data & Analytics-enabled Internal Audit (National) Sean Mulyanto, Manager IT Advisory (Los Angeles) 1

More information

Comparison of Generalized Audit Software

Comparison of Generalized Audit Software Comparison of Generalized Audit Software In today s modern and computerized world even small companies have huge numbers of financial transactions going through the books. As an (external) auditor, it

More information

5 Common MYTHS about Applicant Tracking Software

5 Common MYTHS about Applicant Tracking Software 5 Common MYTHS about Applicant Tracking Software Copyright 2013 North Star Human Resources Inc. All rights reserved. This material is not to be copied or reproduced in whole or part without the written

More information

SQL Server 2005 Features Comparison

SQL Server 2005 Features Comparison Page 1 of 10 Quick Links Home Worldwide Search Microsoft.com for: Go : Home Product Information How to Buy Editions Learning Downloads Support Partners Technologies Solutions Community Previous Versions

More information

I N T E L L I G E N T S O L U T I O N S, I N C. DATA MINING IMPLEMENTING THE PARADIGM SHIFT IN ANALYSIS & MODELING OF THE OILFIELD

I N T E L L I G E N T S O L U T I O N S, I N C. DATA MINING IMPLEMENTING THE PARADIGM SHIFT IN ANALYSIS & MODELING OF THE OILFIELD I N T E L L I G E N T S O L U T I O N S, I N C. OILFIELD DATA MINING IMPLEMENTING THE PARADIGM SHIFT IN ANALYSIS & MODELING OF THE OILFIELD 5 5 T A R A P L A C E M O R G A N T O W N, W V 2 6 0 5 0 USA

More information

REQUEST FOR INFORMATION RFI No.: 15-0006 FOR FRAUD ANALYTICS SOFTWARE

REQUEST FOR INFORMATION RFI No.: 15-0006 FOR FRAUD ANALYTICS SOFTWARE REQUEST FOR INFORMATION RFI No.: 15-0006 FOR FRAUD ANALYTICS SOFTWARE This is a Request for Information (RFI) issued by Citizens Property Insurance Corporation ( Citizens ). Citizens is seeking market

More information

Vendor Audit and Cost Recovery: Improving Bottom Line Results WHITE PAPER

Vendor Audit and Cost Recovery: Improving Bottom Line Results WHITE PAPER Vendor Audit and Cost Recovery: Improving Bottom Line Results WHITE PAPER 2002 ACL Services Ltd. All rights reserved. AMWE109003 ACL and the ACL logo are registered trademarks of ACL Services Ltd. All

More information

Lesson 5: Inventory. 5.1 Introduction. 5.2 Manufacturer or Retailer?

Lesson 5: Inventory. 5.1 Introduction. 5.2 Manufacturer or Retailer? Lesson 5: Inventory 5.1 Introduction Whether it is a brick and mortar or digital store, for many businesses, inventory management is a key cog of their operations. Managing inventory is an important key

More information

Real World Application and Usage of IBM Advanced Analytics Technology

Real World Application and Usage of IBM Advanced Analytics Technology Real World Application and Usage of IBM Advanced Analytics Technology Anthony J. Young Pre-Sales Architect for IBM Advanced Analytics February 21, 2014 Welcome Anthony J. Young Lives in Austin, TX Focused

More information

Making Sense of the Madness

Making Sense of the Madness Making Sense of the Madness Deploying Big Data techniques to deal with real world Bigish Data issues Copyright James Mitchell 2014 1 Introduction Warning! Parental Guidance Recommended Please read the

More information

Connected Product Maturity Model

Connected Product Maturity Model White Paper Connected Product Maturity Model Achieve Innovation with Connected Capabilities What is M2M-ize? To M2Mize means to optimize business processes using machine data often accomplished by feeding

More information

AVLOR SERVER CLOUD RECOVERY

AVLOR SERVER CLOUD RECOVERY AVLOR SERVER CLOUD RECOVERY WHITE PAPER 1 Table of Contents Abstract... 2 1. Introduction... 3 2. Server Cloud Recovery... 3 3. Amazon AWS Cloud... 4 a. What it is... 4 b. Why Use AWS?... 5 4. Difficulties

More information

INVESTOR PRESENTATION. Third Quarter 2014

INVESTOR PRESENTATION. Third Quarter 2014 INVESTOR PRESENTATION Third Quarter 2014 Note to Investors Certain non-gaap financial information regarding operating results may be discussed during this presentation. Reconciliations of the differences

More information

MD AOC Project Introduction to PeopleSoft

MD AOC Project Introduction to PeopleSoft Insert Pictures that represent Customer on Master slide MD AOC Project Introduction to PeopleSoft PeopleSoft Vendor Management Agenda Introduction Session Objectives PeopleSoft Overview Key Features Business

More information

flex support Service Overview

flex support Service Overview NTS Technology Partners introduce NTS FLEX a unique portfolio of Managed Services, Cloud and Support solutions for any business size. flex support Service Overview Version 1.1 For Further Information see

More information

The Sales Talent Audit 3.0 Program

The Sales Talent Audit 3.0 Program The Sales Talent Audit 3.0 Program A single, objective and predictive tool that provides an ongoing sales profile and skills inventory for alignment, development, selection and restructuring. Solid Science,

More information

The Power of Business Intelligence in the Revenue Cycle

The Power of Business Intelligence in the Revenue Cycle The Power of Business Intelligence in the Revenue Cycle Increasing Cash Flow with Actionable Information John Garcia August 4, 2011 Table of Contents Revenue Cycle Challenges... 3 The Goal of Business

More information

Mitel Professional Services Catalog for Contact Center JULY 2015 SWEDEN, DENMARK, FINLAND AND BALTICS RELEASE 1.0

Mitel Professional Services Catalog for Contact Center JULY 2015 SWEDEN, DENMARK, FINLAND AND BALTICS RELEASE 1.0 Mitel Professional Services Catalog for Contact Center JULY 2015 SWEDEN, DENMARK, FINLAND AND BALTICS RELEASE 1.0 Contents MITEL PROFESSIONAL SERVICES DELIVERY METHODOLOGY... 2 CUSTOMER NEEDS... 2 ENGAGING

More information

Understanding Your Data and Best Practices in Data Analytics

Understanding Your Data and Best Practices in Data Analytics Understanding Your Data and Best Practices in Data Analytics Lance E. H. Schmidt, CPA, CFE, Principal Investment advisory services are offered through CliftonLarsonAllen Wealth Advisors, LLC, an SEC-registered

More information

G Cloud Services Definition Document. Property Management Service. Invigilatis Limited. Contents. Pages. Invigilatis Applications 1.

G Cloud Services Definition Document. Property Management Service. Invigilatis Limited. Contents. Pages. Invigilatis Applications 1. G Cloud Services Definition Document Property Management Service Invigilatis Limited Contents Pages Invigilatis Applications 1 Modules 2 Business Intelligence 3 Service Definition 4-6 Service Levels Access

More information

The expansive benefits of DIY business applications

The expansive benefits of DIY business applications The expansive benefits of DIY business applications 2013 TrackVia, Inc. All rights reserved. CONTENTS Introduction Custom applications for custom needs Custom CRM can enhance employee integration A custom

More information

Independent Accountant s Compilation Report

Independent Accountant s Compilation Report Example 1- Standard GAAP Compilation Report To the Shareholders of Jeff Sailor Seminars, Inc. We have compiled the accompanying balance sheet of Jeff Sailor Seminars, Inc. as of December 31, 2010, and

More information

A THEORETICAL COMPARISON OF DATA MASKING TECHNIQUES FOR NUMERICAL MICRODATA

A THEORETICAL COMPARISON OF DATA MASKING TECHNIQUES FOR NUMERICAL MICRODATA A THEORETICAL COMPARISON OF DATA MASKING TECHNIQUES FOR NUMERICAL MICRODATA Krish Muralidhar University of Kentucky Rathindra Sarathy Oklahoma State University Agency Internal User Unmasked Result Subjects

More information

Integrated business solutions and services for the KBB industry

Integrated business solutions and services for the KBB industry Integrated business solutions and services for the KBB industry 02 03 Smart Systems specialise in the development of the best business management solutions for retail and manufacturing companies involved

More information

Using Business Intelligence to Achieve Sustainable Performance

Using Business Intelligence to Achieve Sustainable Performance Cutting Edge Analytics for Sustainable Performance Using Business Intelligence to Achieve Sustainable Performance Adam Getz Principal, About is a software and professional services firm specializing in

More information

Based on discussions at the Common Solutions Group Meeting, 14 May 2009 (Edited and expanded by Jerry Grochow, MIT, 10 August 2009)

Based on discussions at the Common Solutions Group Meeting, 14 May 2009 (Edited and expanded by Jerry Grochow, MIT, 10 August 2009) Cost and pricing of shared IT services Based on discussions at the Common Solutions Group Meeting, 14 May 2009 (Edited and expanded by Jerry Grochow, MIT, 10 August 2009) INTRODUCTION The goal of our discussion

More information

Applied Business Intelligence. Iakovos Motakis, Ph.D. Director, DW & Decision Support Systems Intrasoft SA

Applied Business Intelligence. Iakovos Motakis, Ph.D. Director, DW & Decision Support Systems Intrasoft SA Applied Business Intelligence Iakovos Motakis, Ph.D. Director, DW & Decision Support Systems Intrasoft SA Agenda Business Drivers and Perspectives Technology & Analytical Applications Trends Challenges

More information

Why banks and credit unions should outsource their ATM back-office

Why banks and credit unions should outsource their ATM back-office Why banks and credit unions should outsource their ATM back-office ATM program management is costly and complicated, yet it isn t a core business for financial institutions that deploy ATMs as part of

More information

Chapter ML:XI. XI. Cluster Analysis

Chapter ML:XI. XI. Cluster Analysis Chapter ML:XI XI. Cluster Analysis Data Mining Overview Cluster Analysis Basics Hierarchical Cluster Analysis Iterative Cluster Analysis Density-Based Cluster Analysis Cluster Evaluation Constrained Cluster

More information

Mitigating Risks and Monitoring Activity for Database Security

Mitigating Risks and Monitoring Activity for Database Security The Essentials Series: Role of Database Activity Monitoring in Database Security Mitigating Risks and Monitoring Activity for Database Security sponsored by by Dan Sullivan Mi tigating Risks and Monitoring

More information

Welcome to Metafile. Solving document issues for over 30 years. Matt Akin msa@metafile.com 800-638-2445 x 301

Welcome to Metafile. Solving document issues for over 30 years. Matt Akin msa@metafile.com 800-638-2445 x 301 Welcome to Metafile Solving document issues for over 30 years Matt Akin msa@metafile.com 800-638-2445 x 301 Janine Peck jgp@metafile.com 800-638-2445 x 303 Metafile helps many companies with their AP,

More information

Automating Software License Management

Automating Software License Management Automating Software License Management Automating license management saves time, resources, and costs. It also consistently produces high quality data and a documentable method for mapping software licenses

More information

MICROSOFT DYNAMICS NAV

MICROSOFT DYNAMICS NAV MICROSOFT DYNAMICS NAV Quick to implement and easy to use Enterprise Resource Planning (ERP) software. Already increasing efficiency in more than 100,000 companies worldwide. Manage your finances, supply

More information

CREATING BUSINESS VALUE THROUGH INTEGRATION

CREATING BUSINESS VALUE THROUGH INTEGRATION CREATING BUSINESS VALUE THROUGH INTEGRATION WHAT BIZTALK SERVER AND SQL SERVER PROVIDE DAVID CHAPPELL DECEMBER 2009 SPONSORED BY MICROSOFT CORPORATION CONTENTS Why Integration Matters... 3 Application

More information

POWERFUL, FLEXIBLE, AND AFFORDABLE ERP SOLUTION

POWERFUL, FLEXIBLE, AND AFFORDABLE ERP SOLUTION POWERFUL, FLEXIBLE, AND AFFORDABLE ERP SOLUTION Let Xeo Software show you how our Hybrid ERP gives you the best of all worlds INDEX What is ERP and Why Does it Matter for SMBs?....................... 2

More information

Preventing Duplicate Payments for Lawson Customers

Preventing Duplicate Payments for Lawson Customers White Paper Preventing Duplicate Payments for Lawson Customers By Brian Rosenberg, Senior Partner, RPI Consultants Duplicate Payments are far more common than most companies realize or are prepared to

More information

Big Data at Cloud Scale

Big Data at Cloud Scale Big Data at Cloud Scale Pushing the limits of flexible & powerful analytics Copyright 2015 Pentaho Corporation. Redistribution permitted. All trademarks are the property of their respective owners. For

More information

Considerations for Management of Laboratory Data

Considerations for Management of Laboratory Data Considerations for Management of Laboratory Data 2003 Scientific Computing & Instrumentation LIMS Guide, November 2003 Michael H Elliott Drowning in a sea of data? Nervous about 21 CFR Part 11? Worried

More information

Open Doors with B2B Social Networking

Open Doors with B2B Social Networking Dow Jones ebook Open Doors with B2B Social Networking How social networking technology is changing the competitive landscape during the economic storm By Tom Aley SVP and Managing Director Business & Relationship

More information

BASIS OF ACCOUNTING WHICH ONE SHOULD YOU USE?

BASIS OF ACCOUNTING WHICH ONE SHOULD YOU USE? From time to time a question is raised by managers and board members regarding the basis of accounting that should be used when preparing interim financial statements for a homeowners association. Before

More information

Using a Big CA(A)T to Tame the Big Data Jungle

Using a Big CA(A)T to Tame the Big Data Jungle Using a Big CA(A)T to Tame the Big Data Jungle Cathy Blunt Manager Internal Audit Griffith University Mario Bojilov Meta Business Systems Pty Ltd Thursday 21 st November World Continuous Auditing & Reporting

More information

Best Practices for Implementing Global IoT Initiatives Key Considerations for Launching a Connected Devices Service

Best Practices for Implementing Global IoT Initiatives Key Considerations for Launching a Connected Devices Service Best Practices for Implementing Global IoT Initiatives Key Considerations for Launching a Connected Devices Service White Paper Jasper Technologies, Inc. 02 For more information about becoming a service

More information

IBM Tivoli Netcool network management solutions for SMB

IBM Tivoli Netcool network management solutions for SMB IBM Netcool network management solutions for SMB An integrated approach enhances IT as it supports business needs for the SMB environment Highlights Automate management tasks to reduce IT workload and

More information

Tap Unexplored Markets Using Segmentation The Advantages of Real-Time Dynamic Segmentation

Tap Unexplored Markets Using Segmentation The Advantages of Real-Time Dynamic Segmentation Tap Unexplored Markets Using Segmentation The Advantages of Real-Time Dynamic Segmentation What is Segmentation and How Does it Apply to Website Traffic? Market segmentation, the practice of breaking down

More information

BUSINESS INTELLIGENCE. Keywords: business intelligence, architecture, concepts, dashboards, ETL, data mining

BUSINESS INTELLIGENCE. Keywords: business intelligence, architecture, concepts, dashboards, ETL, data mining BUSINESS INTELLIGENCE Bogdan Mohor Dumitrita 1 Abstract A Business Intelligence (BI)-driven approach can be very effective in implementing business transformation programs within an enterprise framework.

More information

MEMORANDUM. 2015 Risk Assessment, 2015 Audit Plan, and 2014 Audit Plan

MEMORANDUM. 2015 Risk Assessment, 2015 Audit Plan, and 2014 Audit Plan ORANGE COUNTY EMPLOYEES RETIREMENT SYSTEM MEMORANDUM DATE: January 21, 2015 TO: FROM: SUBJECT: s of the Audit Committee David James, Director of Internal Audit 2015 Risk Assessment, 2015 Audit Plan, and

More information

Software License Asset Management (SLAM) Part III

Software License Asset Management (SLAM) Part III LANDesk White Paper Software License Asset Management (SLAM) Part III Structuring SLAM to Solve Business Challenges Contents The Third Step in SLAM: Optimizing Your Operations.... 3 Benefiting from Step

More information