Usage & Data
Pricing Usage Data
Processing Raw Data
Migration of data between disparate systems remains a significant challenge for organizations as they consider onboarding new back office systems. Organizations will often procrastinate and delay the procurement of a much-needed business transformation due to their legitimate fear of the data migration headaches this may cause. While this fear is legitimate, it also means that many companies continue to maintain archaic systems and tools thereby impacting their operational efficiencies. It is evident then that simplifying the data migration challenge can go a long way towards alleviating service provider concerns.
In the fairly recent past, collecting general demographic data on your customers—such as age, income, industry, geographic location, etc.—gave you enough insight to target your customers at a basic level and remain competitive in the field. However, with the rise of big data, customers are increasingly looking for more tailored options. The general data you collected in the past is no longer enough to acquire and retain customers. In an environment where telecom customers have numerous options, even your most loyal customer might switch to a competitor if they feel their needs can be better met elsewhere. To prevent this, you need to develop a deeper understanding of your customers through data. Using a data-driven approach will help you retain customers and increase your revenue.
API is the acronym for Application Programming Interface, which is a software intermediary that allows two applications to talk to each other. For example, a Customer Relationship Management (CRM) system might need to communicate with the Billing system to access product catalog information. This communication would be done via API calls. It should be clear from this example, that a rich set of APIs is essential to integrate multiple Enterprise Resource Planning (ERP) and back office systems. A true software platform needs to be architected using API first principles in order to facilitate frictionless integrations between multiple systems.
The IoT is beginning to shape the future of numerous industries, by generating an unprecedented amount of data. As the market for IoT platforms matures, vendors will need to address not only a number of issues relating to platform capabilities and features, but also the competitive landscape to serve users better.
The Internet of Things has been heralded as the Fourth Industrial Revolution because it will underpin every industry and most daily behaviours that we take for granted.
If you think mid-year sales tax changes are merely an inconvenience, think again.
The Supreme Court ruling in South Dakota v. Wayfair, Inc. (Wayfair) on June 21, 2018, opened the floodgates to a slew of new compliance rules and requirements that could become a big deal for your business if you’re not prepared. And it isn’t the only major shift to happen with sales and use tax in the second half of 2018.
If you are involved in providing IOT (Internet of Things) connectivity services to your end customer, then you’re probably aware that your customers are expecting significant personalization when it comes to how your services are deployed.
As competition heats up; customers are not willing to just write a cheque. They expect to pay on usage-based outcomes.
We're here to outline some creative ways you can personalize your usage based models while protecting your bottom line.
In a market where connectivity prices for IoT (Internet of Things) services are reducing rapidly or where service providers or MVNOs (Mobile Virtual Network Operators) are reselling services, there are pressures on direct margin pricing models. To grow your margins, service offerings need to be looked at differently.
All relationships take work to succeed, make yours last with your customer.
Service providers need to set up contractual relationships with their customers to ensure a degree of predictability in their customer relationships and partner in their growth.