Welcome!

Open Source Cloud Authors: Pat Romanski, Elizabeth White, Liz McMillan, Rostyslav Demush, Charles Araujo

News Feed Item

GLDS and SubscriberWise Integrate to Provide Powerful Risk Management for Cable Operators

GLDS and SubscriberWise Integrate to Provide Powerful Risk Management for Cable Operators

Great Lakes Data Systems, Inc. today announced a partnership with SubscriberWise®, Ltd. to offer broadband service providers a powerful risk management solution. Operators will have real-time access to data that will help them better understand subscriber payment behavior and credit risk, all from within the WinCable® subscriber management and billing software.

“Fully integrating our solutions will add significant value and enhance the cable operations experience for our mutual customers,” said David Howe, president of SubscriberWise. “By combining GLDS’ expert knowledge of subscriber management systems with the proven power of SubscriberWise decision analytics and best practices, this alliance will boost our customers’ success through automation, increased efficiency, and cost savings.”

GLDS was the first billing provider to partner with SubscriberWise and has already scheduled beta testing of the fully-integrated solution for an undisclosed customer.

SubscriberWise Risk Management Solutions incorporate TransUnion's® robust consumer credit data with the highly predictive power of FICO® scoring and analytics. Statistical data is combined with proprietary decision factors based on years of cable industry experience. The total approach results in more relevant data for operators.

The integrated solution allows storage of a calculated risk rating to each subscriber’s WinCable billing system account record. Customer service personnel can then apply pre-defined company policies to credit limits, deposit amounts, and other important new customer decisions. Ongoing account activity within WinCable will be used to update subscriber metrics, reduce collections risks and determine customer eligibility for special handling and future product offerings.

“GLDS sought out SubscriberWise as part of a larger commitment to helping WinCable users better understand their customers,” said Garrick Russell, VP Operations at GLDS. “SubscriberWise has a field-proven solution that, when combined with customer information from WinCable, will provide operators with an unparalleled understanding of their customers.”

About Great Lakes Data Systems, Inc.

Great Lakes Data Systems, Inc. provides the cable industry’s leading Windows-based billing, subscriber management, and provisioning solutions. Privately held and profitable since 1980, GLDS in-house and ASP/Internet versions of the GLDS software feature Digital Authorization, PPV, DOCSIS-compliant Cable Modem Provisioning, VOD, VoIP, Credit Card/ACH processing and Web-Enabled Customer Self Care. GLDS has installed software for over 300 systems in 49 of the 50 U.S. States and 38 countries. More information is available at (800) 882-7950 and online at www.cablebilling.com.

About SubscriberWise

SubscriberWise (www.subscriberwise.com) is the leader in risk management solutions for the cable industry. SubscriberWise solutions incorporate a comprehensive approach to risk and decision management across the subscriber life cycle from origination and retention to fraud and debt recovery. Based in Massillon, Ohio, SubscriberWise was founded on the premise that an intelligent understanding of subscriber behavior can significantly reduce an operator’s risk exposure without compromising growth and selling opportunities. SubscriberWise Risk Management Solutions incorporate TransUnion's® robust consumer credit data with the highly predictive power of FICO® scoring and analytics; combined with years of cable industry data, these solutions help operators make cost-effective decisions before approving a customer’s service and installing costly equipment. SubscriberWise is a registered trademark of SubscriberWise, Ltd.

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

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...