Welcome!

@ThingsExpo Authors: Zakia Bouachraoui, Yeshim Deniz, Liz McMillan, Elizabeth White, Pat Romanski

News Feed Item

MetraTech to Host Free Webinar Series on Big Data Revenue Opportunities and the Future of Commerce

Three-Part Webinar Series With THINKstrategies Will Detail How to Leverage Data to Increase Profitability

WALTHAM, MA -- (Marketwire) -- 06/06/12 -- MetraTech Corp., the leading provider of agreements-based billing and compensation solutions, today announced that it will host a three-part webinar series focused on helping businesses monetize customer data. The first webinar, "Making Money With Big Data: The Future of Commerce In A Data-Driven World," will take place on Thursday, June 14 at 1 p.m. EDT. The one-hour session will feature panelists from MetraTech and industry analyst firm THINKstrategies.

This webinar series is designed for decision-makers in online, mobile and big-data environments that are changing the way customers purchase products and services. As customers choose subscriptions, consumption-based packages or multimodal options, they generate an enormous amount of granular transactional data. Businesses that learn to mine that data to expose trends, segment customers and automate business processes will reap greater profits.

"There is a new generation of cloud-based business models that will reward organizations who can effectively capture, mine and act upon big sets of customer data," said Jeff Kaplan, managing director of THINKstrategies, a consulting firm focused on the business implications of the technology industry's transition from a product-centric to services-driven model. "In these webinars, we'll teach attendees how to make big data financially actionable to lower churn, drive greater monthly recurring revenue (MRR), increase lifetime value (LTV), and improve overall profitability."

Joining Kaplan on the webinar panel will be Jason Mondanaro, Metanga product director at MetraTech and a global leader in transactional data and micropayment technologies. Kaplan and Mondanaro will cover:

  • New commerce, consumption and buyer models
  • How cloud applications generate big data
  • Data storage, synthesis and analysis challenges
  • Benefits of affinity group modeling and trending
  • Big data marketing strategies for the future

Advanced registration is required. To register for the webinar, please click here.

About MetraTech
MetraTech Corp. offers an innovative approach to billing, compensation and customer care. We empower organizations to embrace change through a unique agreements-based billing and compensation solution that models and supports fluid, personalized, multi-party agreements. We automate business processes and business models to address rapidly changing or complex business strategies. Our products are deployed globally, and our customers use MetraTech to securely collect revenue, compensate partners and manage their customer lifecycles in 12 languages, 28 currencies and 90 countries. Customers include Concur, The Depository Trust and Clearing Corporation (DTCC), CETIP, the City of Chicago, Microsoft, PGi and OnStream (National Grid). The company is headquartered in Boston with offices in San Francisco, Paris, Rio de Janeiro and London. MetraTech is a venture-backed, privately held company whose investors include Accel Partners, Meritech Capital and Vesbridge Partners. For more information, please visit www.metratech.com and www.metanga.com.

Erin Rohr
Metis Communications
617-236-0500
[email protected]

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...