Industry estimates from Gartner and IDC suggest that there will be between 25 billion and 210 billion M2M (machine-to-machine) devices in service by 2020. Currently, corporate initiatives for M2M and considerations for management include international regulation, data sovereignty, permanent roaming and fast tracking complete IoT (Internet of Things) immersion.
Network Control has conducted interviews with customers and CIOs to determine how best to plan, from a business perspective, preparation for the growing need to capture and monitor the entire device life cycle from on-boarding to monetizing the device. M2M initiatives and concerns fall short of being thoroughly addressed as compared to BYOD, based on interviews and analysis of corporate initiatives. Issues revealed by customers are lack of time, resources and expertise to create a sustainable plan for the upcoming M2M explosion. Since enterprises are already inundated with environment data, they want to know how to control and manage data flow with some sense of accuracy and report valuable information to executive management. This is where the need for an IT Asset Management platform comes to the rescue.
As Network Control begins to architect roadmaps for successful M2M/IoT initiatives with customers, the entire lifecycle of technology, business, and regulation and security realms are central to the solution; the volume of M2M traffic hitting and bypassing the networks and systems currently in place will be enormous and disruptive. Some questions that come up frequently are: How is corporate IT going to police such traffic volumes? Who is responsible for the policing? How fast will we be able to make sense of all the data and who will interpret the data? Whatever solutions are adopted, they will have to scale massively, be within budget parameters, be able to integrate with existing authentication systems and have minimal impact on network and data performance. This is where the telecom expense management industry’s OPEX-based managed and professional services can provide the required capacity without the CAPEX lock-in, and allow companies to assess operational costs and business opportunities. Expertise in linking datasets will play a significant role in generating new business insights and prove to be integral to the process of creating knowledge.
Managed Services Can Help the Big Data Revolution
Telecom expense management has a certain advantage in this managed service area over competitors such as pure play security providers, hardware and software vendors, and system integrators. The advantage is gained by playing in a familiar telecom management sandbox with established platforms possessing the ability to optimize, investigative response, governance capabilities, identity of endpoints, ownership and the ability to slice and dice mass amounts of data into meaningful business analytics to help manage the additional influx of information.
In the field, enterprise executives recognize the increased importance of advanced data analytics as part of the Internet of Things (IoT). Assessing the estates of smarter connected devices is generating more and more data, and applications with analytics tools are the driving forces behind the delivery of added business value. Given the importance of data analytics, enterprise executives have identified significant changes and new priorities that have emerged in data. The perfect opportunity to leverage existing expertise currently exists to create blueprints for this explosion and provide guidance for success.
Lately, the role of telecom management has been more as miners of big data, as petabytes of information are managed. Understanding telecom data in its raw form is not useful without the tools and expertise to derive meaning from the millions of data records available. The importance of the new science that is about to emerge is not the quantity of data managed; rather it’s how experts in the field, “data scientists”, can extract and execute on the importance of the data components while incorporating business input form key stakeholders.
According to IDC, there are four essential components to this M2M/IoT collaboration:
• Mobile Network Operators (MNO) that provide data,
• Enterprises that use the analyses made on the data,
• TEMs ¬ Analytics experts who make the data valuable for end-users
• Regulators that approve the transmittal of the data across international lines, permeant roaming and data sovereignty
So how do you prepare for the next revolution of big data?
1. Identify opportunities in Enterprise IoT
There are multiple starting points in identifying new service opportunities in Enterprise IoT. Expand conversations about design enhancements to existing products or implement best practice models. Part of the approach should be to identify and build a blueprint. Collaboration studies lead to idea generating processes such as interviews, analyzing the range of information provided by industry analysts, market research and other innovation trends.
2. Mining more valuable data sets
Prioritizing and narrowing of ideas may include assessments of contractual market conditions, financial evaluations, optimization feasibility assessments and recommendation considerations. What should also be considered when prioritizing new design innovations in Enterprise IoT is readiness of the organization to adopt new business models. With new-found data translation, the ability to manage financial impacts on the enterprise when transforming business models impacts new services created from sound business decisions. The new data sets will also pinpoint the planning for new service opportunities in Enterprise IoT.
3. Regulatory Red Tape
Be in front of all the international regulatory changes and adoptions around M2M/IoT. Consider these regulatory issues and scenarios:
Roaming rules As seen today, dealing with roaming devices is a big challenge for mobile technologies, particularly in the logistics, airline and travel industries. For example, a US-based logistics company riding alongside the Canadian US border risks receiving huge roaming bills for being in Canada when they never crossed country lines. Similar in effect are cruise ships traveling in uncertain roaming territories. These scenarios are popping up with M2M traffic and need to be addressed.
Number schemes PSTN numbering plans sound familiar. Currently, every SIM card has its own phone number once the service is activated. It may be that regulators have to revise their numbering schemes or allow providers to use alternative addressing methods to contact devices.
Data sovereignty Where data lives is going to continue to be an issue for cloud computing consumers, particularly given the varied laws between countries.
Data integrity is essential for the IoT, and accurately determining the identity of individuals and devices is going to be a challenge for those designing systems.
Data Exhaust This is known as “digital footprints” left behind by user behavior. This type of mobile study performed on digital behavior will be incorporated into the IoT world over the next year.
It is noteworthy to understand that the future of big data will not replace traditional data systems. For the foreseeable future, the utility of big data will depend on collaboration and combining big data traditional data sets to analyze the IoT phenomena.
IoT provides the infrastructure for the collection from various devices to be integrated and analyzed in different ways. This results in an explosive amount of data transmission called big data. As a Technology Expense Management company, Network Control has been involved with collecting, storing, processing, managing and monitoring our customers’ data and ever-growing machine to machine (M2M) services. In response to its customer interviews and industry knowledge, Network Control recently rolled out a new version of its management platform named Technology Data Management. This tool enables the management of increasing number of devices and the volume of data produced by M2M proliferation and allows customers to scale transparently, while keeping ahead of its customers’ growth needs.