Big data as a service is a cloud-based framework, which provides end-to-end big data solutions to enterprises on their demand. It can be defined as a combined structure of data-as-a-service (DaaS), hadoop-as-a-service (HDaaS), and data analytics-as-a-service.
The augmenting need for ensuring the high data quality and creating a channelized data flow in enterprises has fueled the need for technologically advanced big data solutions to gather, store, assess, visualize, and make predictions from the information gained from large data volumes.
With the rising usage of cloud-based predictive analytics, the global market for big data as a service is likely to witness strong growth in the years to come.
Analytics of big data can help telcos and telecoms improve profitability by optimizing network services/usage, enhancing customer experience, and improving security. The potential for Telco’s and telecom to profit from implementing data science effectively is substantial.
It helps to foresee the time-slots of heaviest network usage, and method steps to relieve congestion, recognize the customers most likely to defect, and curate steps to prevent churn, identify customers most likely to default on paying bills, and target steps to improve the recovery of payments.
Some of the most prominent Key Vendors:
Accenture, Deloitte, Hewlett- Packard, IBM, PricewaterhouseCoopers, SAP, Teradata, Alteryx, Atos, Attivio, Chartio, Cirro, ClearStory Data, Cloudera, Continuum Analytics, Datameer, DataStax, Doopex, Dell, Enthought, Hortonworks, MAANA, MapR Technologies, MarkLogic, Microsoft, MongoDB, Mu Sigma, Predixion Software, SAS Institute
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Global big data as a service market is primarily driven by the increasing requirement of structured data for analysis which helps the organizations to achieve targets and grow at a faster pace. The demand for data science and predictive analysis is increasing which boosts the big global data as a service market.
The conclusions driven by the use of big data are accurate with novel insights when compared to traditional analytics is also one of the factors driving the big global data as a service market. Moreover, the expansion of big data analytics, covering data from intelligent systems such as smart meters, in-vehicle infotainment, sensors, etc.
further boosts the big global data as a service market.
Examiners likewise surveyed each factor that could be used to separate adequacy, prospects, shortcomings, and challenges of the Global Big Data Services Market. Some of which are annual costs, key sections, production capacity and new items.
Industry standards are likewise recognized for market division. This is done consolidated with the surveying business practices inside the market.
Understanding government's participation in the business, perceiving influence of Big Data Services Market all inclusive, evaluating profitable terms and conditions and investigating market circumstances and growth forecasts.
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Table of Contents:
Global Big Data Services Market Research Report 2017
Chapter 1 Big Data Services Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Global Market Forecast
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