Too much data and not enough analytics!

| Copyright ©. SafePaaS, Inc.
SafeInsight™ Predictive Analytics
Discover Hidden Risks, Improve Bottomline with Advanced Controls
The Leader in
Information Risk Management
Webinar January 22
2020

| Copyright ©. SafePaaS, Inc.| Copyright ©. SafePaaS, Inc.
• Introduction
• Too Much Data, Not Enough Analytics!
• A 2020 Vision of your Enterprise
• Actionable Analytics with SafeInsight
• Case Study
2
AGENDA

• GRC Handbook: The GRC Handbook for Oracle
Applications with Oracle VP, Nigel King
• E-Book Series: GRC insight, best practices and
trends
• Monthly Educational Webinars: Every third
Wednesday of the month 1pm GMT 12pm
EST
• Oracle OpenWorld Dubai - January 2020
• Rocky Mountains Oracle User Group – User
Provisioning – Colorado February 20 2020
• Breakfast Round Table – Partner Event –
London – March 2020
• Collaborate 2020 Las Vegas - April 19th 2020
• ISACA CACS NA – Baltimore – May 12 – 14
2020
• GRC ISACA – Houston August 15th 2020
PROVEN EXPERTISE
✔ Multi-Platform SoD
✔ Transaction/Config Monitoring
✔ Roles Management
Global Insights
Thought Leadership
3

CUSTOMERS ACROSS ALL MAJOR INDUSTRIES Successful
track record
GOVERNMENT OIL & GAS/ENERGY FINANCIAL SERVICES RETAIL
COMMUNICATIONS MANUFACTURING TRANSPORTATION NATURAL RESOURCES
MEDIA/ENTERTAINMENT HEALTHCARE/EDUCATION TECHNOLOGY LIFE SCIENCES
4

• Introduction
• Case Study
5
AGENDA

Data is everywhere, but viewing data in spreadsheets makes it nearly
impossible to uncover critical business insights
6
37%of an analyst’s time is spent just
searching for data.
60%of analyst models have five or more
data sources.
$60Bis spent on manual models inside
spreadsheets.
13%of data science models never get
deployed.
Source:
“The State of Data Discovery and Cataloging,” IDC
“ Data Blending: A Powerful Method for Faster, Easier Decisions,” HBR
“The State of Self-Service Data Preparation and Analysis Using Spreadsheets,” IDC
Data Science Survey, Rexer Analytics

Common Challenges
•Due to many analytic inefficiencies,
employees are stuck in spreadsheet
hell trying to analyze their data —
instead of using their time wisely to
affect changes based on what the
data reveals.
•Many teams spend time building
custom solutions, deploying analytic
products, or consuming analytic
commodities or utilities — even when
they already exist.
•Many finance organizations lack a
single “source of truth,” or one
location where all data is stored that
serves as the reference point for
review and accuracy. This lack of a
single source creates work and
rework as teams are operating in
informational silos. 7

Test scripts for “big-
data” is costly
unreliable
• SQL based queries & data dumps
• IT dependency
• Specialized skill set to build
• Challenge to get right data &
format
• Manual searches
• Labor intensive
• Inconsistent
• Time Consuming
• Sampling instead of 100% coverage
• No alert monitoring, point-in-time

ACL Script
ineffective for
complex ERP
Models

Executive Time Spent on Risk
Is your organization laboring with outdated tools & unnecessary
complexity?
“Executive Guidance: Reducing Risk Management’s
Organizational Drag”, CEB, 2014
Opportunity
to reduce time via:
- Streamlined Processes
- Automation
- Standardization
- Simplicity / Ease of use
Freeing up resources to
address strategic risk
Greatest risk to
market cap

• Introduction
• Case Study
11
AGENDA

Predictive analytics is a category of data analytics aimed at making predictions about
future outcomes based on historical data and analytics techniques such as statistical
modeling and machine learning.
The science of predictive analytics can generate future insights with a significant
degree of precision. With the help of sophisticated predictive analytics tools and
models, any organization can now use past and current data to reliably forecast trends
and behaviors milliseconds, days, or years into the future.
With predictive analytics, organizations can find and exploit patterns contained within
data in order to detect risks and opportunities. Models can be designed, for instance, to
discover relationships between various behavior factors. Such models enable the
assessment of either the promise or risk presented by a particular set of conditions,
guiding informed decision-making across various categories of supply chain and
procurement events.
12
Predictive Analytics Defined

Predictive analytics has captured the support of wide range of organizations, with a
global market projected to reach approximately $10.95 billion by 2022, growing at a
compound annual growth rate (CAGR) of around 21 percent between 2016 and
2022, according to a 2017 report issued by Zion Market Research.
The predictive analytics market is segmented on the basis of deployment into cloud-
based & on-premises installation. The cloud-based segment accounted for the
largest market share in 2016. This segment is expected to exhibit significant growth
in the years to come due to increasing IT priorities among different enterprises over
the past couples of years. Cloud-based predictive analytic solutions have a much
faster time to value than its alternatives which represent a critical advantage for the
approach. Based on software solutions, predictive analytics market has been
classified into financial intelligence, customer intelligence, financial intelligence,
decision support systems, data mining and management, fraud and security
intelligence and others.
13
Market Adoption

• Predictive analytics makes looking into the future more accurate and reliable than
previous tools.
• Forecast inventory requirements, manage shipping schedules and configure store
layouts to maximize sales. Set prices reflecting past trends.
• Generate new customer responses or purchases, as well as promote cross-sell
opportunities. Predictive models can help businesses attract, retain and nurture their
most valued customers.
• Detect and halt various types of criminal behavior before any serious damage is
inflected.
• Monitor user behaviors and actions, an organization can detect activities that are out
of the ordinary, ranging from credit card fraud to corporate spying to cyberattacks.
14
Business Benefits

Modern Analytics Delivers Actionable Insight
15
76%of analytics users can work with the
data they need.
72%don’t need IT assistance to create
insight.
66%can connect and consolidate in a
repeatable process.
66%can standardize and integrate
source data for analytics.
Source: “Maximize Financial Planning and Analysis Performance with Superior Analytics,” Aberdeen Group

• Introduction
• Case Study
16
AGENDA

Information Controls Maturity Model
Informal:
▪ Adhoc approach
▪ Compliant but at a
high cost to
business
▪ Manual control
▪ No best practices
Reactive:
▪ Tactical approach
▪ Risks are
documented
▪ Manual risk
assessment
▪ After the fact
reporting
Proactive:
▪ Unified,
standardized &
strategic approach
▪ Policies are
enforced
▪ Automated process
▪ Prevent policy
Optimized:
▪ Control objectives
embedded
throughout the
organization
▪ Analyze and trend
▪ Automated risk
mitigation /
Predictive risk
assessments
IT Governance: Continuous Controls Monitoring
Process Controls Management
Predictive Analytics
IT Governance: Application Access Controls
Audit, Risk and Compliance Management

Information Management Controls Platform
Predictive Analytics
Process Controls Management
IT Governance: Access Controls Management IT Governance: Continuous Controls Monitoring
Audit Risk and Compliance Management
SafeInsight
ProcessPaaS
ARCPaaS
AccessPaaS MonitorPaaS
Process Analytics Risk Analytics Audit Analytics ERP Analytics Access Analytics Data Analytics
Customer Order Manager Data/Doc ManagerFinancial Close Manager People ManagerProcurement Manager
Policy Monitor
Roles Manager
SOD Scanner
iAccess
Access Monitor
FireFighter
Master Data Monitor
Data Privacy Monitor
App Life Cycle Monitor
Transaction Monitor
Configuration Monitor
Audit Manager Risk Manager Compliance Manager Policy Manager Rules Repository Risk Library
DataProbeIntegrationServices
Fine-Grained
IDM WatchlistMonitor

Turn Hidden Risks into Opportunities
Data GroupsDB Schema API’sUser Events
Data-source
SP Change Records Security
SafeInsight™ Advanced Analytics
Data Discovery
• Interact with your data quickly
and intuitively
• Use dynamic charts and graphs
to understand key relationships
Risk Analysis
• Apply quality-tested algorithms
based on the latest risk
methodologies
• Quantify Risk, Prepare adequate
risk treatment
Process Optimization
• Find bottlenecks, rework, order
changes, and other symptoms
of waste an inefficient
processes.
Quantitative Measure
• Identify relevant process KPIs
and Measure transparently for
improvement
Simulation
• Consider business scenarios
• Determine the best allocation of
resources
• Implement the best plans for
accomplishing goals
Rules Repository
• Metadata driven global
business best practices
• Get fast access to business
bottlenecks and risks

| Copyright ©. SafePaaS, Inc.20
DataProbe – Configurable ETL for Risk Discovery in Cloud & on Premise
Metadata Audit Rules Datasource Map Secure Transfer Workflows
MULTI-PLATFORM

Pareto Analysis
Clustering
Fuzzy Matching
Anomaly detection
Automate Data Analysis Prevents Risk Events
Control Evidence
Data-source
Enterprise
Data Graph
AIEnabledAuditAnalyticsEngine
SemanticReasoningPatternReasoning
Data Analysis
Engine
AuditAnalyticsWorkbench
SafePaaSControlsCatalog
Incidents
SELF-LEARNING
FEEDBACK LOOP
Benford Analysis
Algorithms Workbench

Deep Learning

• Introduction
• Case Study
23
AGENDA

A global leader in the lifestyle footwear controls cost with SafeInsight
• Designs, develops, markets, and distributes footwear
for men, women, and children, as well as performance
footwear for men and women
• The company operates through four segments:
Domestic Wholesale Sales, International Wholesale
Sales, Retail Sales, and E-commerce Sales.
• The company operates 122 concept stores, 131
factory outlet stores, and 71 warehouse outlet stores in
the United States; and 44 concept stores and 26
factory outlets internationally.

• Accounts Payable Audits: Track all your claims closely and prevent future losses by catching them earlier.
Improve vendor relationships by submitting only verified high-quality claims, all resulting in less work for
you, and more accurate, more profitable results
• Merchandise Audits: Detect merchandising errors early by finding the facts as close to the transaction as
possible. This helps your company reduce operating expenses through recoveries.
• Vendor Risk Assessment: Comprehensive vendor risk analysis to analyze all available data for optimal
results. Research a wide variety of potential vendor risks – from fraud and conflicts of interest to lapsed
business licenses and liability concerns.
• Freight Audits: Safeguard freight-related disbursements by identifying payment errors and analyzing
whether vendors and carriers have complied with your shipping guidelines
• Media Audits: Agency and media invoices match up. Identify duplicates and overpayments, review
contracts, media plans, insertion orders, print orders and billing statements, and accurately determine
whether there have been mistakes and under-achieving performance.
• Contract Compliance: In-depth review of contract compliance combines automated techniques with
focused strategic buyer discussions. Identify the causes behind over payments and developing customized
prevention techniques for minimizing future exposure.
Analytics use cases

AP Audit
Claims Trend

Merchandise
Merchandise Losses
Net Price

Vendor Risk

Freight

Media

Prevent Duplicate Invoices

Prevent Unauthorized Data Changes

Setup ERP Data Source
Deployment

Deploy Objects

Setup Workflow and Roles

Respond to Risk Events Deployment

Analyze Risk Incidents

Predict Hidden Risks and Bottlenecks with SafeInsight
User Roles
3-Way
Match
Track
Payments
Approve
Discounts
Conditional
Workflow Prevent
Split
Purchase
Orders
Prevent
Materialized
SOD Risks
Prevent
Duplicate
Payments
Approve
accounts
over
Threshold
Prevent
Duplicate
Vendors
Approve
Setup
Changes
Master
Data
Audit Trial
Prevent
Split
Purchase
Orders
Fuzzy
Logic,
‘similar
values’
SafePaa
S
Standar
d
Controls
Approval
Hierarchies
Track
Discounts

For more information contact:
https://safepaas.com
emma.kelly@safepaas.com
You can also follow us at:
https://www.linkedin.com/company/safepaas/
https://twitter.com/safepaas

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