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Published on : Jun 23, 2016

ALBANY, New York, June 23, 2016: ResearchMoz.us, one of the top enablers of market research guidance, has added a new report to its vast repertoire on the global industries of telecommunications. The report, titled “Big data and analytics: Telco strategies, investments and use cases,” is of 39 pages, in which it gives users insights into the major factors that influence big data analytics. It also analyzes hindrances to this market in terms of telecom big data and its implementations.

According to the report, the key driver of most current big data analytics initiatives is the improving ratio of customer satisfaction to unresolved queries. Churn reduction has always been a core requirement for the success of any big data analytics project, and the report shows higher success rates for most of the companies that have been reviewed.

Another priority that has to be maintained by big data analytics providers is a high level of customization to their clients, a fact which is directly linked to the provider’s and the market’s overall revenue generation. Additionally, it was found that companies that successfully provide network optimization are also highly preferred, as it helps in cutting down overall expenses.

Communications service providers in the recent past have been widely adopting technology providers in a bid to offer a wider range of big data analytics projects. The report analysts have observed that the role of big data analytics is important in CSP, and while almost every major CSP today hosts big data analytics projects, this market is still in a nascent stage in terms of overall development.

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The report suggests a high rate of enthusiasm is being shown by CSPs towards the large scale implementation of big data analytics. This could imply a bright future for the BDA market in the coming years.

There are, however, a few obstacles currently in the way of the big data analytics market. These are the complications that arise with implementing big data projects in an existing organization framework, the difficulty of implementing big data analytics in siloed data structures, and the overall lack of trained professionals in BDA.

There is very little standardized knowledge on how big data analytics is structured within an organization. According to the report, about 40% of the companies that have been surveyed used a centralized approach for their big data analytics setup. On the other hand, only 20% are using a separate business unit.

Organization has thus been the biggest challenge faced by telecom operators while implementing BDA. The companies need to make major modification to their organization structure and culture in order to accommodate an efficient BDA system. The problem lies in the uniqueness of each organization, which makes it almost impossible to devise a common strategy for BDA implementation. However, the report does mention that there are multiple underlying themes common to certain types of telecom companies. These can help create a generalized idea on how an organization might incorporate BDA.
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