TMCnet News

Research and Markets: Real-time Analytics: NOW Would Be Good
[September 18, 2014]

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

  • Big Data, Data Science, and IT teams
  • Product and Sales & Marketing teams, including the CMO
  • Core Customer Data, including Help Desk/Call Center
  • C-Suite
  • All other line of business (LOB) stakeholders

Communications service providers (CSPs)

  • All Enterprise areas above
  • Network and Operations
  • Customer Experience Management (CEM)
  • Revenue and Relationships

he main conclusions and key takeaways are as follows:



  • 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.
  • 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.
  • 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.
  • 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


[ Back To TMCnet.com's Homepage ]