The Changing Landscape of Operational Support Systems (OSS): Technologies, Solutions, and Organizational Impacts
Operational Support Systems (OSS) are the essential set of tools required for a Communications Service Provider (CSP) to design, deploy, monitor and maintain the content, networks and services that their customers pay to use. There are significant changes underway in the CSP industry that are causing fundamental re-evaluations of business models, technology stacks and service offerings. These disruptions to the status quo are similarly influencing, and being influenced by, OSS.
This research assesses a range of relatively nascent technologies that have the potential to change the dynamic of OSS, whether via the networks they manage, or as building blocks on which to build better OSS tools. The report evaluates various technologies including cloud delivery, network virtualization, network security, Big Data, Machine Learning and Predictive Analytics, resource models, orchestration and automation, wireless sensor networks, IoT/ M2M, Self-organizing Networks (SON), software development models, and standards such as ITSM / ITIL.
This report is must-reading for anyone involved in planning or optimizing OSS as well as anyone with a vested interest in realizing positive financial returns from OSS investment. All purchasers of this report will be entitled to Self-Organizing Networks (SON) Challenges and Market Opportunities for 3G, LTE, and Beyond, Fourth Edition at no additional cost. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.
SDN solution providers
Network and services integrators
Cloud and virtualization companies
Fixed and mobile network operators
OSS/BSS products and services suppliers
Next generation network infrastructure providers
Third party providers of content, commerce, and apps
Companies in Report:
Alcatel Lucent S.A.
Clarity (part of Synchronoss)
Digi-Data (part of Synchronoss)
Ericsson (Telefonaktiebolaget L. M. Ericsson)
European Telecommunications Standards Institute (ETSI)
F-Secure (part of Synchronoss)
Hewlett Packard Company
Lightbridge Communications Corporation
Metro Ethernet Forum (MEF)
Miyowa (part of Synchronoss)
NetCracker Technology Corp. (part of NEC)
NTT Communications Corporation
Nuel (part of Huawei)
Open Networking Foundation (ONF)
Siebel (part of Oracle)
Strumsoft (part of Synchronoss)
Tata Consultancy Services Limited
Tech Mahindra Limited
Telcordia (part of Ericsson)
ThingWorx (part of PTC)
Voxmobili (part of Synchronoss)
WindRiver (part of Intel)
Wisor (part of Synchronoss)
Younited (part of Synchronoss)
Mind Commerce Publishing's research methodology encompasses input from a wide variety of sources.
We rely heavily upon our Subject Matter Experts (SME) in terms of their market knowledge, unique perspective, and vision. We utilize SME industry contacts as well as previous customers and participants in our market surveys and interactive interviews.
In addition, we rely upon our extensive internal database, which contains modeling, qualitative analysis, and quantitative data. We review secondary sources and compare to our primary sources to update previous findings (for prior version reports) and/or compile baseline information for technology and market modeling.
We share preliminary models with industry contacts (select previous clients, experts, and thought leaders) to verify the veracity of initial modeling. Prior to final report production (analysis, findings, and conclusions), we engage in an internal review with internal SMEs as well as cross-expertise, senior staff members to challenge results.
We believe that forecasts should be prepared as part of an integrated process which involves both quantitative as well as qualitative factors. We follow the following 3-step process for forecasting.
Step 1 - Forecasts Input: The inputs for the present and historical revenues are derived from industry players. Financial and other quantitative data for individual sub-market categories are derived from original research and tested with interviews with major industry constituents.
Step 2 - Forecasting of Future Years: Mind Commerce extends forecasts based on a variety of factors including demand drivers as well as supply side data. Key success factors and assumptions are considered.
Step 3 - Validation of Data: The final step is to validate projections, which is accomplished in consultation with both internal and external industry experts, including both topic and regional experts. Adjustments are made to the forecasts based on factors identified throughout this process.
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