1. Storytelling with Data (Data Visualization)
Storytelling with Data (Data Visualization)
June 12, 2014

2. Jason Josko Data Solutions, PwC
Over 14 years of experience helping clients transform their underlying data into actionable intelligence, focusing on large scale data analytics, visualization, reconciliation and data quality assurance.
Helps Internal Audit teams develop their analytics strategy as well as conduct targeted audit analytics.
Experience developing procurement compliance programs, dashboard reporting packages, and working capital improvement solutions.
BS in Accounting from University of Iowa
Interests and Passion:
Storytelling with Data - Data Visualization
June 12, 2014

3. Paba DMello Data Solutions, PwC
Over 6 years of experience in data analytics
Focus on Data Visualization and understanding business analytics needs of the clients
Experience in integrating information from multiple data sources a efficiently executing assignment using dynamic tools.
Involved in data cleansing, data preparation and visualization stages of a project
BS in Computer Science from University of Mumbai, India
Interest and Passion:
Storytelling with Data - Data Visualization
June 12, 2014

4. Kate Reva Data Solutions, PwC
Over 4 years of industry experience in corporate accounting and data analytics
Focus on Data Analytics to facilitate External and Internal Audit engagements as well as Fraud Analytics and Data Visualization tools
Served clients in a variety of industries, including financial services, manufacturing, insurance, pharmaceuticals, consumer products and technology
BS in Accounting from DePaul University
CISA certified
Interests and Passion:
Storytelling with Data - Data Visualization
June 12, 2014

5. Today’s Discussion Data Creates Opportunities
What are the benefits, characteristics and value of Data Visualization Analytics?
Analytics in Action
QlikView and Tableau case study and live demonstration of analytics through data visualization
Data Visualization Tool Landscape
What are the key players? What is the difference between them?
Storytelling with Data - Data Visualization
June 12, 2014

6. Data Creates Opportunities
Storytelling with Data - Data Visualization
June 12, 2014

7. Data Visualization What is it?
Data Visualization is an emerging area of data analytics that combines quantitative information with technology and graphical design to tell stories, convey ideas and make decisions.
An exciting new way to incorporate raw information into a visual interactive medium
A way to dissect increased volumes of rows and columns of information to understand trends, patterns and make strategic, operational and tactical decisions
A powerful way to simplify the ever increasing size and complexity of information
Storytelling with Data - Data Visualization
June 12, 2014

8. Data Visualization Why is it a hot topic?
Data discovery became a mainstream BI and analytic architecture - Gartner
Provide an intuitive, interactive user experience with immediate response time, and eliminate the need for training and IT assistance.
Increase user autonomy with self-service discovery of relevant insights – anytime, anywhere
Help business users see the big picture while navigating the details – for fully informed decisions
Empower users to uncover connections and trends in new and unexpected areas
Storytelling with Data - Data Visualization
June 12, 2014

9. Data Visualization Data to Insight
Quickly answers questions:
Which product-region pair is the best seller?
Which product-region pairs have high sales but lose money?
Storytelling with Data - Data Visualization
June 12, 2014

10. Data Visualization Data to Insight
Quickly answers questions:
Which product-region pair is the best seller?
Which product-region pairs have high sales but lose money?
Storytelling with Data - Data Visualization
June 12, 2014

11. Benefits of Data and Visual Analytics
Traditional Approach vs
Visual Analytics
Static queries and reports
Takes time to adjust and refresh
Reduces the time spent creating analysis
Faster and more informed decision making
Core Capabilities of Visual Analytics
Trending analysis
Collaborative data discovery
Better understand Relationships
Interactive charts and reports
Shorter time to insight
KPI monitoring
Identify
Prove
Scale
Repeat
Clean
Data
Define
Baseline
Hard
Analytics
Soft
Refine
Analysis
Quick Hits
Baseline
Time
Performance
Storytelling with Data - Data Visualization
June 12, 2014

12. Characteristics of analytics today
Analytics; discovery and communication of meaningful patterns in data
Big data; collection of large and complex data sets
Data
Financial, Operational
Structured, Unstructured,
Internal, External
Visualization
Trending & comparisons
Accessibility and portability; available anytime, anywhere
Dashboarding
Storytelling with Data - Data Visualization
June 12, 2014

13. Analytics in Action: Tableau Product Pricing Override Audit
Storytelling with Data - Data Visualization
June 12, 2014

14. Auditing Approach Leveraging Data Analytics
Business Development 1 5 4 2 3
Foundation
Fieldwork
Quality
Reporting
Planning
Foundation: Leverage data to identify key risks to be addressed through the Audit Plan
Planning: Plan and scope the audit to focus on high risk areas and newly identified risks
Fieldwork: Develop risk based and value added analytics for the audit
Reporting: Analyze results to quantify impact, and report findings utilizing data visualization
Quality: Monitor managements responses through Dashboards
Storytelling with Data - Data Visualization
June 12, 2014

15. I. Foundation: Risk Assessment
Issue
Analyze financial data to gain insight over declines in net revenue.
Internal audit identified product pricing as a key risk area
Action
Analyze key financial data and adjust their audit plan to address their high risk areas.
Impact
Annual quarter over quarter revenue decline
Storytelling with Data - Data Visualization
June 12, 2014

16. II. Planning: Project Risk Assessment
Issue
Varying gross margins across 3 retail channels
Utilized data visualization software to analyze the stores by retail channel.
Action
Identified limited controls around product price overrides/adjustments have been identified
Impact
Unexpected spikes in price overrides
Storytelling with Data - Data Visualization
June 12, 2014

17. II. Planning: Audit Scoping
Issue
Identify high risk stores affecting gross profit through the use of overrides
Utilized data visualization software to analyze the total price override amounts against gross profit to identify outliers and anomalies
Action
Identified stores that had negative gross profits or negative overrides
Discovered that products can have price overrides that result in losses
Impact
Negative gross profit due to price overrides
Storytelling with Data - Data Visualization
June 12, 2014

18. III. Fieldwork: Targeted Analytics Testing
Instances where the override amount is less than the cost of the item.
Total amount and frequency of overrides by store and sales associate.
Total amount and frequency of overrides by override code.
Trending of overrides by store over the audit time period.
Override reason codes leading to negative gross profit
Storytelling with Data - Data Visualization
June 12, 2014

19. IV. Reporting: Confirm and Report Results
Internal Audit team determined there were no controls around overrides of product prices
Sales associates overriding to negative gross profit
Sales associates entering in negative override amounts
Outlier of sales associate with potential unusual activity
Storytelling with Data - Data Visualization
June 12, 2014

20. V. Quality: Remediation Follow Up
Issue
Monitor managements response to the findings of the pricing audit
Utilized data visualization software to leverage the analytics and dashboards created during the assessment, scoping, and testing phases
Action
Ability to continuously monitor the compliance in a consistent manner with minimal manual effort
Impact
Storytelling with Data - Data Visualization
June 12, 2014

21. Analytics in Action: QlikView KPI (Key Performance Indicators) Dashboard
Storytelling with Data - Data Visualization
June 12, 2014

22. KPI (Key Performance Indicators) Dashboard
Enable effective Risk- Based Internal Audit Approach
Improve the cost and effectiveness of audits
Uncover trends in new and unexpected areas
Develop KPI Dashboard in QlikView
Identify High Risk Areas
Directly communicate with data
Refresh Data on monthly basis
KPI Dashboard to be included as part of the Risk Assessment package
See the big picture while navigating the details – for fully informed decisions
Enable Continuous Monitoring
Storytelling with Data - Data Visualization
June 12, 2014

23. Data Visualization Tool Landscape
Storytelling with Data - Data Visualization
June 12, 2014

24. Who are some of the key players?
- Gartner BI magic quadrant
Source: Magic Quadrant for Business Intelligence and Analytics Platforms. February 20, 2014
Storytelling with Data - Data Visualization
June 12, 2014

25. Limited data mining and analytic capabilities
Governance, consistency and skill silos challenges
Limited data mining and analytic capabilities
Lower licensing costs per user
Connects to a variety of data sources
Low cost to implement
Easy to use for ordinary business users and developers
Strengths
Strengths
Strengths
Strengths
Higher annual maintenance fee
Cautions
Cautions
Source: Magic Quadrant for Business Intelligence and Analytics Platforms. February 20, 2014
June 12, 2014

26. Limited data mining and analytic capabilities
Security and administering large number of users concerns
Limited data mining and analytic capabilities
Mobile functionality
Associative search function
Relatively low cost of ownership
Highly customizable and easy to use
Strengths
Strengths
Strengths
Strengths
Higher developer learning curve
Cautions
Cautions
Source: Magic Quadrant for Business Intelligence and Analytics Platforms. February 20, 2014
June 12, 2014

27. Limited data mining and analytic capabilities
Support quality and cost of software concerns
Limited data mining and analytic capabilities
Higher quality (stability, reliability and free from bugs)
Enterprise deployment readiness
Easy to use for end users
Advanced modeling and building analytical models
Strengths
Strengths
Strengths
Strengths
Limited formatting options
Cautions
Cautions
Source: Magic Quadrant for Business Intelligence and Analytics Platforms. February 20, 2014
June 12, 2014

28. Contact Information
Jason Josko
Office: (312)
Paba DMello
Office: (312)
Kate Reva
Office: (312)