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1 TEXT BOXES Meant to be used as modules for smaller text amounts. Copy/paste the box(es) you want and replace with your own text. Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat Keynote Speech Exchange Summit Berlin 2018 Presented by: Bengt Nilsson Presented to: Exchange Summit, Berlin Date: October 2018 Information class: External

2 Applications Have Ruled, Data Will Prevail! Bengt Nilsson Co-Chair, European E-Invoice Service Providers Association European-level trade association for E-Invoicing Service Providers Represent the industry, recommend best practice, promote interoperability and promote e-invoicing ONE CONNECTION GLOBAL REACH CEO, Pagero Global, open, cloud-based network and applications Designed for full integration and interoperability across any ERP, best-of-breed solutions and other business networks Founder, former CEO Global provider of ERP, EAM, FSM and ESM services

3 A (Brief) History of Data Analogue to Digital INDUSTRY 4.0 INDUSTRY 1.0 Mechanization, steam power, weaving loom INDUSTRY 2.0 Mass production, assembly line, electrical energy INDUSTRY 3.0 Automation, computers and electronics End-to-End, Internet of Things, connected networks BUT!!! Demands accurate real-time data Hearsay Analogue Semi-Digital Digital

4 The Cost of Digitisation The value of data is dependant on its accuracy #1 Risk & Challenge Poor data quality identified as the biggest risk and greatest challenge Forrester 2014 global survey of 235 data management professionals $14.2m Estimated average annual cost Cost of data quality issues as estimated by respondents Gartner 2013 global survey of 333 organisations (public and private) Data quality will be the limiting factor for overall process quality as businesses become more automated - Gartner, % Revenue growth 7% increase in revenue (constant currency) in data quality tools market in 2016, compared with 5.2% in 2015 Gartner 2016 global analysis of data integration tools and data quality tools

5 The (Less than Ideal) Solution Data cleansing COST Import Data Export Data Verify & Enrich Average annual spend De-Duplicate on data quality tools: $208,000 Normalize Standardize Gartner 2016 Data Quality Survey* Rebuild Missing Data Merge Data Sets Import Data However, human error for validation and enrichment remains a vulnerability DATA CLEANSING CYCLE *2016 global survey of 368 organizations regarding their data quality initiatives and deployments of data quality tools

6 Hidden Costs of Data Management Data Quality Inspection Costs IT Costs Operational Costs Staffing Cost VISIBLE COSTS Project Delays Budget Overrun Sales Inaccurate Sales Pipeline Inaccurate Win-Lost Rate Loss of Potential Revenue Excessive Field Service Expenses Customer Services Customer Dissatisfaction Complaint Handling Costs Customer Retention Costs HIDDEN COSTS Quality data form the foundations for high-quality procurement, sourcing and management decisions Data Analytics Inaccurate Analysis Inaccurate Reporting Bad recommendation Finance Increasing Costs Overdue Receivables Pricing or Billing Error Procurement PO Overpayments Maverick Spend Overpayments Management Poor Decision Making Company Reputation Damage

7 A Better Solution Smart, Open Networks SMART OPEN

8 What is a Smart, Open Network? 01. SMART NETWORK Data is validated as it enters the system Business rules ensure that data cannot pass through the network until validated Touchless operations mean identification, enrichment, validation and where possible automatic correction occur without human intervention Correct data is the basis for operations and AI / Machine Learning 02. OPEN NETWORK Designed for easy integration and inter-operability Interoperability provides customers with greatest reach Easy integration means customers have full choice of applications and best-of-breed solutions A technology-focus is required to remain open in order to keep pace with innovation and leverage opportunities

9 The Cost of Falling Behind For Customers Poor data means poor control, business decisions and ultimately subpar performance Increasing investments into data cleansing and manual error handling will be required over time Businesses will fall further and further behind competitors leveraging smart, open networks

10 The Cost of Falling Behind For Business Networks Platforms capable of integrating with new service providers and evolving technologies will become preferred networks, offering customers more choice, flexibility, functionality and better ROI Networks designed for interoperability will increasingly out-perform closed networks on reach

11 What to Look For in Your B2B Network A Smart Network that validates, corrects and enriches data The ability to support local compliance globally An Open Network capable of integrating with new technologies, service providers and networks A Cloud-Based solution providing full connectivity to all trading partners A provider that supports full traceability across 100% digital operations A system designed for zero downtime

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