ScanBizCards Business Card Reader Announces the Availability of a Manual Transcription Option for Business Cards on iOS and Android Mobile Devices

New York, New York (PRWEB) November 17, 2011

ScanBiz Mobile Solutions today announced the availability of an option to submit business cards for manual transcription in both the iPhone and Android versions of the application. While ScanBizCards' normal operation remains scanning card images using OCR technology within seconds on the phone, manual transcription meets the needs of some business professionals who prefer 100% accuracy every time through human verification. The manual transcription option carries an additional modest fee.

Unlike some other manual transcription apps, ScanBizCards uses an in-house dedicated transcription team - not the Amazon Mechanical Turk service - for increased privacy, more accurate results and much faster completion time. While ScanBizCards just became the best manual transcription option on iOS devices, it is the only transcription option currently available on Android phones and tablets. All manually transcribed cards appear in the same digital rolodex as other scanned cards, and all of ScanBizCards 32 advanced management and networking features are available for manually transcribed cards. In addition, all cards are accessible in real time from any browser in the user's ScanBizCards Web Sync account.

ScanBizCards is unlike any other business card reader with features usually reserved for full-blown, expensive enterprise CRM applications. Built specifically for the networked web, ScanBizCards 3.11 boasts new features that turn the iPhone into a powerful contact relationship management device. Support is available for scanning cards in 22 languages: Czech, Danish, English, German, Greek, Finnish, French, Hungarian, Italian, Lithuanian, Dutch, Norwegian, Polish, Portuguese, Romanian, Russian, Slovakian, Spanish, Serbian, Swedish, Turkish and Vietnamese.

Simply snapping a picture of a business card effortlessly adds its information to contacts, then enables a series of actions to follow-up, connect and forward the cards information to colleagues and partners through multiple web and mobile channels.

Exporting options include a direct export into Salesforce.com or Daylite CRM as well as exporting into an Excel CSV for integration with other CRM apps or apps such as Constant Contact, or exporting contacts to Data.com (Jigsaw) and Evernote. ScanBizCards is also the only iPhone scanning application with real-time backup of cards to the cloud, synchronization of cards across multiple devices as well as a web-based application to manage cards from any browser.

ScanBizCards is also a full desktop scanning solution enabling the upload of card images from a flatbed scanner for scanning online - all fully synchronized with iOS and Android devices, allowing office workers to share cards in real time with a mobile workforce. ScanBizCards turns business cards (or any image) into opportunities by putting a powerful mobile contact, social networking and calendar management system in the palm of your hand.

As ScanBizCards evolved into an increasingly powerful and complex card management tool used on multiple mobile devices as well as the desktop, the volume of cards scanned by many users kept increasing and it became evident that offering a manual transcription option was necessary to meet the needs of some users. Delivering that functionality enable access to all 32 extended ScanBizCards features to a new set of business cards power users," says Patrick Questembert, Co-Founder, ScanBiz Mobile Solutions.

Device Requirements:

iPhone, iPod touch, and iPad or Android 2.0 devices or above
Note: the iPad 2 and iPod Touch cameras are not sufficient for good photos of business cards. Using the application on these devices requires importing photos from another device.

Pricing and Availability: ScanBizCards Business Card Reader is $ 6.99 USD (or equivalent amount in other currencies) for the iPhone and iOS devices, and $ 4.99 for the Android version. The manual transcription option is an additional $ 0.18/card.

For more information visit http://www.scanbizcards.com

###

Leverage Unstructured Data for Maximum Business Impact: Industry Experts Share Insight and Expertise at Text Analytics World NYC, Oct 19-20

New York, NY (PRWEB) October 07, 2011

Learn the leading methods that tap into text analytics by attending Text Analytics World (TAW), produced by Rising Media and Prediction Impact, October 19-20 where Fortune 500 analytics competitors and other top practitioners share how to capitalize on text analytics to push businesses to the next level.

Can't-miss keynotes include: John F. Elder, CEO and Founder of Elder Research on Text Mining: Lessons Learned, David Gondek, IBM Technical Lead on Building Watson An Overview of the DeepQA Project, and author Thomas Davenport, Presidents Distinguished Professor at Babson College on Everyday Analytics: Making Leading Edge Pervasive.

TAW New York Citys agenda covers more than 25 case study sessions over 2 days, including hot topics and advanced methods such as churn risk detection, customer service and call centers, decision support, document discovery, document filtering, financial indicators from social media and fraud detection. TAW speakers also take an in-depth look at government and insurance applications, knowledge discovery, open question-answering, parallelized text analysis, risk profiling, sentiment analysis, social media applications, survey analysis, topic discovery, and voice of the customer and other innovative applications that benefit organizations in new and creative ways.

TAW attendees will also have the opportunity to hear first-hand how their peers and industry experts use text analytics across a variety of industries, including automotive, education, e-commerce, financial services, government, high technology, insurance, retail, social media, and telecom, such as Google, Accident Fund Insurance of America, Citibank and many more.

Case studies include Mining for Social Media Buzzwords on Socialmediatoday.com, New Insights from Big Legacy Data: The Role of Text Analytics at Bundle.com, Identifying Customers Who Expressed Intend-to-Churn or Defect from Large Number of Surveyed Verbatim at PayPal, Analyzing and Scoring Customer Problem Descriptions through Multi-focal Learning at Citibank, Babies on Elephants: Hadoop and Text Analytics at Intuit, Using Text Analytics to Accurately Segment Workers Compensation Injuries by Accident Fund Insurance Company of America, and others.

Take advantage of the full-day text analytics workshop: Hands-On Introduction to Text Analytics with IBM SPSS (Tim Daciuk, IBM) on Friday, October 21st. This workshop is an introduction to text analytics and provides true hands-on experience, using IBM SPSS Modeler and IBM SPSS Text Analytics software. The course will guide you to actively analyze text, improving the understanding of unstructured data, and using this understanding to enhance data mining models.

In addition to the featured text analytics workshop, eight (8) analytics workshops are offered including:

R Bootcamp: For Newcomers to R,
R for Predictive Modeling: A Hands-On Introduction
Predictive Analytics: Fundamentals and Use Cases
Hands-On Business Analytics: Insights to Impact
Hands-On Predictive Analytics with SAS Enterprise Miner
Driving Enterprise Decisions with Business Analytics
Modeling Methods: The Best and the Worst of Predictive Analytics
Deploying User-Friendly Predictive Analytics

Attend TAW and access the best keynotes, sessions, workshops, exposition, expert panel, networking coffee breaks, reception, birds-of-a-feather lunches, brand-name enterprise leaders, and industry heavyweights in the business.

TAW is sponsored by IBM, SAS, Sybase, AnalyticBridge, KDnuggets, ImprovementandInnovation.com and Toolbox.com.

Text Analytics World will be co-located alongside Predictive Analytics World as a part of Data Driven Business Week, providing reasonably priced cross-registration options for access to a wide scope of leading analytical coverage and case studies.

Register for Text Analytics World New York City.

View the full agenda

Register now and save an additional $ 200 on the two-day conference pass when you register a colleague at the same time.

About Rising Media

Rising Media is a global events producer excelling in Internet and technology-related conferences and exhibitions. Rising Media produced events include Data Driven Business Week, eMetrics Marketing Optimization Summit, Conversion Conference, GAUGE, Predictive Analytics World, Text Analytics World, Building Business Capability, Internet Marketing Conference, Social Media Economy Days, Web Effectiveness Conference and Search Marketing Expo in the US, Canada, UK, France, Germany, Sweden, Finland and Australia.

Rising Media events provide cutting-edge, practical knowledge for business professionals to improve their day-to-day effectiveness, driving higher returns for their organizations. Attendees learn from leading experts and share knowledge with each other, as well as interacting with innovative vendors in the space. Each event brings together the best, the brightest and the visionary, creating a forum for insight, energetic exchange and informed purchasing.

###