How to Leverage Big Data in the Mobile World
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Jennifer Veensenmeyer is the Vice President of Digital Analytics at Merkle, Inc. She gave a presentation on mobile analytics covering 7 deadly sins to avoid in mobile analytics, 5 table stakes for effective mobile analytics, examples of using big data in mobile marketing, and 7 cool use cases for applying big data to mobile marketing including location data, multichannel CRM data, ad network data, and social data.
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Breaking Up is Hard to Do: Small Businesses’ Love Affair with Checks
This document discusses small businesses' reliance on checks and the challenges they face in adopting electronic payments. It notes that small businesses write billions of checks per year at high costs. While checks meet their needs of being easy to use and widely accepted, electronic payments could offer benefits like cost savings and fraud protection. However, small businesses are often too busy with core operations to prioritize alternatives. The document also outlines hurdles small businesses face in using ACH or credit cards, such as navigating bank requirements and understanding fees. It suggests that businesses more open to electronic payments tend to have standardized payment processes or receive remittance data with payments.
EY Smart Commerce Report
Banks see Smart Commerce as a growing threat that could distance them from customers. Smart Commerce is defined as involving digital payment methods that simplify purchases and enriched communication between merchants and consumers using mobile technology. It is driven by demand from both consumers and merchants, and by large profit pools outside of just payments, particularly merchant sales promotions. Many banks believe Smart Commerce will become widespread within two years and pose the main risk of intermediating banks and reducing their relevance in consumer commerce.
EY Global Consumer Banking Survey 2014
This document summarizes key findings from a global consumer banking survey conducted by EY. Some of the main points include:
1. Customer advocacy and trust in their primary banking provider is high, driven largely by positive customer experiences. However, banks still have opportunities to improve certain aspects of the customer experience.
2. Convenience through digital banking channels is important to customers, but mobile banking features still lag online banking. Simplifying fees and communications remains a top priority.
3. Customers are generally satisfied with their primary bank but open to switching for better service or advice. Segmenting customers reveals opportunities for banks to better meet different needs.
4. Banks should focus on making banking simple and clear
EY Global Consumer Banking Survey
This document summarizes the key findings from EY's 2014 Global Consumer Banking Survey. Some of the main points include:
1. Customer trust and advocacy are important drivers of growth for banks. Customers with complete trust in their primary bank are much more likely to recommend them.
2. Customer experience is a key factor influencing trust and advocacy. Customers cited how they are treated and quality of communications as important reasons for trust. Experience also influenced account openings and closings.
3. Banks can improve the customer experience by making banking simple and clear, providing helpful advice, and resolving problems well. Specifically, banks should improve fee transparency, mobile and online banking, and customer service.
Serano
Sereno is a fraud detection solution that uses image analysis and multi-source correlation modeling to identify check fraud. It integrates with existing image processing systems and analyzes check images using multiple recognition engines to flag potential fraud. Sereno reduces false positives and focuses analysts on a small number of suspect transactions. It builds databases of check stock and signatures over time to improve accuracy. Sereno provides cost savings through reduced manual review and losses from fraud while allowing banks to expand their fraud detection capabilities.
Accura XV
Orbograph's new Accura XV solution leverages Next Generation Recognition (NGR) Technology to provide virtually 100% check processing performance at the teller. The solution achieves read rates as high as 95% and can attain 100% read rates on small transactions using V100 mode. It provides tangible benefits like reducing data entry costs and recognition errors as well as intangible benefits like highly reliable technology and streamlined processes. Accura XV is the foundation for all of Orbograph's centralized and distributed recognition solutions and services.
Automation for RDC and Mobile
Growth in remote deposit capture is driving additional requirements in check recognition. Orbograph provides a scalable check recognition solution for RDC that uses multiple recognition engines to achieve read rates from 90-98%. The solution can identify alterations, validate fields, and ensure image quality to reduce fraud while streamlining the deposit process. Orbograph offers flexible licensing and deployment options to meet the needs of various sized financial institutions supporting desktop, consumer, and mobile RDC.
Healthcare Payments Automation Center
The document introduces Orbograph's Healthcare Payments Automation Center (HPAC), a cloud-based platform that hosts two services: P2Post for converting paper explanation of benefit forms into electronic files for practice management systems, and E2Post for matching electronic funds transfer payments to remittance advices. By leveraging image processing and recognition technologies, HPAC can convert claims at high volumes while reducing costs up to 60% by eliminating manual data entry and exceptions. The platform provides adaptive onboarding of forms, HIPAA compliance, and guaranteed performance.
Next Generation Recognition Solutions
The document discusses next generation check recognition technologies that can improve teller image capture (TIC) and remote deposit capture (RDC) workflows. It outlines several business problems with early generation technologies like low read rates, balancing issues, and fraud risks. Next generation technologies aim to solve these by using multi-engine correlation, dynamic thresholding, item verification, and check box detection to achieve near 100% recognition performance and reduce errors. The benefits include cost savings, improved efficiency, customer experience, and reduced fraud.
Automation Services
Orbograph introduces Automation Services and Automation Services LE, innovative recognition solutions that provide up to 40% labor cost savings through high levels of automation and accuracy. Automation Services achieves 98% automation and 99%+ accuracy, while Automation Services LE attains 90% automation with 99% accuracy. Both solutions support various check processing workflows and can be implemented on Orbograph's legacy OrboCAR platform or new G6 Enterprise Recognition Technology platform. Orbograph also offers managed recognition services to continuously monitor performance and ensure solutions meet guaranteed service levels.
Company Overview
Orbograph is a provider of electronic solutions for healthcare revenue cycle management and check processing recognition software. It has over 1,500 financial institution and biller clients that process billions of documents annually using Orbograph's technologies. Orbograph converts paper-based documents like EOBs into electronic files to automate payment data reconciliation and provide reporting tools. It is a subsidiary of Orbotech and was founded in 1996, employing over 50 people who serve the banking, financial, and healthcare industries.
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How to Leverage Big Data in the Mobile World
- 1. JENNIFER VEESENMEYER VP, Digital Analy7cs Merkle, Inc. Mobile Marketing Association
- 2. What we’ll cover today Context & Level-Set Application Deadly Table Cool Use Cases Sins of Stakes for for Big Data Mobile Mobile in Mobile Analy7cs Analy7cs Marke7ng Mobile Marketing Association
- 3. 7 Deadly Sins of Mobile Analy:cs 1. Lumping cell phones and tablets together 2. Measuring mobile marke:ng in a silo 3. Ignoring the context of purchase process 4. Measuring usage rather than impact 5. Repor:ng on mobile as a channel (when you’re using it as a plaKorm) 6. Guessing instead of tes:ng 7. SeOling for subpar analy:cs Mobile Marketing Association
- 4. 5 Table Stakes for Mobile Analy:cs 1. Tools: Get the right analy:cs tools in place 2. Metrics: Know what is important to measure 3. Process: Establish an end-‐to-‐end data-‐analy:cs-‐op:miza:on process 4. Research: Understand your mobile customers 5. Plan to Integrate: Have a plan to integrate mobile into your overall measurement strategy These are the bare minimum capabili1es for mobile analy1cs. Seriously. If you don’t have these in place, you’re behind. Mobile Marketing Association
- 5. Big Data + Mobile Marke:ng • What is “Big Data”? Volume, velocity and variety • Examples of Big Data in mobile marke:ng – Loca:on – Mul:channel CRM – Ad network – Social • Two keys to successfully using Big Data for mobile marke:ng – Get personal – Go real :me Mobile Marketing Association
- 6. 7 Cool Use Cases for Big Data in Mobile Marke:ng Loca7on Data 1. Tes:ng coupon value vs proximity 2. Predic:ng traffic paOerns and “behavioral fencing” 3. Researching cross-‐shopping, mobile-‐instore dynamics, mo:vators, etc Mul7channel CRM Data 4. Enriching customer profiles with mobile data 5. Targe:ng the omnichannel customer Ad Network Data 6. BeOer targe:ng with more audience aOributes Social Data 7. Experimen:ng with Social MRI Mobile Marketing Association
- 7. JENNIFER VEESENMEYER VP, Digital Analy7cs 443.542.4611 612.356.4191 (cell) jveesenmeyer@merkleinc.com Mobile Marketing Association