Smart Grid Data Analytics for Business Intelligence

NEW YORK, Aug. 13, 2013 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

Smart Grid Data Analytics for Business Intelligence
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Smart Grid Data Analytics for Business Intelligence

Business analytics has traditionally been used by utilities to provide business intelligence (BI) for financial and production planning, around a set of predefined key performance indicators via reports, dashboards, and web portals. Today, faced with the prospect of a data deluge resulting from the deployment of smart grid technologies, utilities are trying to understand the potential for data analytics applications beyond those provided by traditional BI tools. BI analytics can leverage smart meter data and asset monitoring data to improve efficiency of meter-to-cash operations, enhance revenue assurance, provide greater visibility into system performance and asset utilization, and enable load and generation forecasting for energy trading or production planning activities.
Smart meter deployments have been the main driver for BI analytics, with meter data management (MDM) continuing to be the preferred choice for utilities to manage smart meter data. However, more advanced analytics applications depend on integrating data from multiple sources, including IT and OT systems as well as third-party, public data sources. As the volume and variety of structured and unstructured data increases, the limitations of transaction-based MDM systems will become more apparent. The most innovative utilities are starting to investigate alternative approaches to big data management. Navigant Research expects North America and Europe to remain major BI analytics markets, with growth in Asia Pacific driven by smart meter deployments in China, India and Japan.
This Navigant Research report analyzes the global market opportunity for business intelligence analytics. The report provides an assessment of the drivers, barriers, technology issues and use cases, associated with the developing market. Key industry players are profiled and forecasts for worldwide spending on BI analytics, segmented by region, extend through 2020.

Key Questions Addressed:

What are the drivers shaping the market for data analytics providers targeting business intelligence?
What are the barriers to adoption of analytics for business intelligence?
What use cases can be served by data analytics for business intelligence?
How do the demand drivers for business intelligence analytics vary in different world regions?
Who are the key players offering business intelligence analytics?
What is the market opportunity for vendors of data analytics solutions for business intelligence?

Who needs this report?

Smart grid hardware vendors
Database technology providers
Smart grid data analytics vendors
Meter data management system providers
Energy management platform providers
Utilities
Investor community



Table of Contents

1. Executive Summary
2. Market Update
2.1 Introduction
2.2 Drivers and Inhibitors
2.2.1 Market Drivers
2.2.2 Market Inhibitors
2.3 Technology and Solutions
2.3.1 Technology Issues
2.3.2 Use Cases
2.4 Key Players
2.4.1 Aclara
2.4.2 eMeter (Siemens)
2.4.3 Oracle
2.4.4 SAP
2.4.5 SAS
2.4.6 Ventyx (ABB)
2.5 Global Trends
2.5.1 North America
2.5.2 Europe
2.5.3 Asia Pacific
2.5.4 Latin America
2.5.5 Middle East & Africa
2.6 Market Forecast
3. Conclusions and Recommendations
3.1 Recommendations for Utilities
3.2 Recommendations for Vendors

List of Charts, Tables, and Figures

Meter Data Management Installed Base by Region, World Markets: 2012-2020
BI Analytics Capability Continuum
Business Intelligence Analytics Spending by Region, World Markets: 2012-2020

To order this report:
Energy_technology Industry: Smart Grid Data Analytics for Business Intelligence

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