[September 18, 2014] |
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Research and Markets: Real-time Analytics: NOW Would Be Good
DUBLIN --(Business Wire)--
Research and Markets (http://www.researchandmarkets.com/research/c8kj3r/realtime)
has announced the addition of the "Real-time
Analytics: NOW Would Be Good" report to their offering.
This report provides analysis and guidance about the benefits of
adopting a real-time analytics strategy, and the essential components to
execute on such a strategy.
The report is intended to speak to the needs of these roles and teams:
Enterprises
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Big Data, Data Science, and IT teams
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Product and Sales & Marketing teams, including the CMO
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Core Customer Data, including Help Desk/Call Center
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C-Suite
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All other line of business (LOB) stakeholders
Communications service providers (CSPs)
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All Enterprise areas above
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Network and Operations
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Customer Experience Management (CEM)
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Revenue and Relationships
he main conclusions and key takeaways are as follows:
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If a company has deployed a Big Data and analytics system, accessing,
managing, and distributing analytic insights to the organization, that
is laudable. It is also not enough. The game has (already) changed.
Companies must deliver analytic insights when needed; and the answer
to the question when? is becoming: in real time.
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Clear definitions and a blueprint for a successful real-time analytics
deployment are needed and this report offers both. Stratecast's
definition of real-time analytics centers on providing users with
immediate insights before placing data into storage. The ingredients
to achieve this include stream processing of data; in-memory
computing; Big Data supporting infrastructure, including
shared-nothing processing and fault tolerance; and a number of ongoing
open source initiatives at the Apache Software Foundation.
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Real-time analytics can benefit any organization in any sector. It is
also essential to artificial intelligence (AI). Empowering machines to
learn and to exhibit other human-like behaviors means enabling a
multitude of intricate, ultra-high-speed maneuvers; and real-time
analytics is needed to provide data feeds every robotic step of the
way.
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Deploying real-time analytics adds cost and complexity to existing IT
processes, and can overwhelm an organization with a tidal wave of new
data. Yet, companies must adapt to the new real-time paradigm.
Stratecast believes that sometime in 2015, real-time analytics will
become a standard requirement of all data management systems.
Key Topics Covered:
1. Executive Summary
2. Introduction
3. Defining Real-time Analytics
4. Three-fourths of Survey Respondents Use or Plan to Use Real-time
Analytics
5. A Blueprint for Real-time Analytics
6. Real-time Analytics Can Deliver Big-time Usability and Business Value
7. Real-time Analytics Can Accelerate Artificial Intelligence
8. The Case for NOT Implementing Real-time Analytics
9. The Last Word
For more information visit http://www.researchandmarkets.com/research/c8kj3r/realtime
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