energy analytics

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Keep the lights on by predicting when an outage might occur

Published By: Group M_IBM Q2'19     Published Date: Apr 10, 2019
Today's energy, environment, and utility companies face an unfamiliar landscape in which they must integrate alternative energies, expand situational awareness across the system, and deepen their relationships with customers-all while continuing to deliver reliable, safe, and affordable electricity, gas and water to everyone.By combining predictive analytics with IoT, cloud and mobile technologies, utilities companies can Lower costs, improve operational efficiency and increase equipment reliability.
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Group M_IBM Q2'19

Keep the lights on by predicting when an outage might occur

Published By: Group M_IBM Q2'19     Published Date: Apr 10, 2019
Today's energy, environment, and utility companies face an unfamiliar landscape in which they must integrate alternative energies, expand situational awareness across the system, and deepen their relationships with customers-all while continuing to deliver reliable, safe, and affordable electricity, gas and water to everyone.By combining predictive analytics with IoT, cloud and mobile technologies, utilities companies can Lower costs, improve operational efficiency and increase equipment reliability.
Tags : 
    
Group M_IBM Q2'19

Keep the lights on by predicting when an outage might occur

Published By: Group M_IBM Q2'19     Published Date: Apr 10, 2019
Today's energy, environment, and utility companies face an unfamiliar landscape in which they must integrate alternative energies, expand situational awareness across the system, and deepen their relationships with customers-all while continuing to deliver reliable, safe, and affordable electricity, gas and water to everyone.By combining predictive analytics with IoT, cloud and mobile technologies, utilities companies can Lower costs, improve operational efficiency and increase equipment reliability.
Tags : 
    
Group M_IBM Q2'19

Keep the lights on by predicting when an outage might occur

Published By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
Today's energy, environment, and utility companies face an unfamiliar landscape in which they must integrate alternative energies, expand situational awareness across the system, and deepen their relationships with customers-all while continuing to deliver reliable, safe, and affordable electricity, gas and water to everyone.By combining predictive analytics with IoT, cloud and mobile technologies, utilities companies can Lower costs, improve operational efficiency and increase equipment reliability.
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Group M_IBM Q3'19

Select the right solution for integrated workplace management

Published By: Group M_IBM Q4'19     Published Date: Sep 26, 2019
Today’s buildings and workplaces are major generators and receivers of data. By capturing and analyzing this data, organizations can gain improved understanding of their operational effectiveness, accelerated ability to react to change and increased returns from real estate-related decisions. This IBM buyer's guide outlines the features and capabilities of an effective IWMS, addressing the following key areas: Real estate management, Capital project management, Facilities management, Facilities maintenance and operations, Environmental and energy management, Cross-functional capabilities, Management system architecture. Create smarter buildings by integrating workplace data with analytics and automation with IBM TRIRIGA. Download the whitepaper.
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Group M_IBM Q4'19

Making a case for problem solving in the energy and utilities industries

Published By: IBM     Published Date: Dec 07, 2010
Energy and utility companies need to manage incidents such as customer complaints or disputes to improve customer service while protecting the business should escalations occur. Advanced case management (ACM) provides enhanced service and risk management throughout the lifecycle of a case.
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ibm, advanced case management podcast, acm, energy and utilities industries, customer service, risk management, business intelligence, content and process management, analytics, business rules, collaboration, utility computing, business process management, customer interaction service, customer relationship management, customer satisfaction, content management system
    
IBM

Spotlight on Energy and Utilities: Featuring Research from Gartner

Published By: IBM     Published Date: Jul 27, 2015
Read this issue to learn how to tap into the massive amounts of data and information across your organization.
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cloud-based data management, sustainability energy, future of energy, data analytics, utility analytics, grid optimization, advanced analytics integration, cloud-based services
    
IBM

Building Analytics Now and for the Future

Published By: IBM     Published Date: Oct 09, 2015
In this white paper, IDC Energy Insights discusses the current and future challenges that utilities face in meeting their business objectives and the role analytics will play.
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ibm, analytics, research, data, demand growth, utilities, energy, it management, business technology
    
IBM

How Good is Your Energy & Utilities Organization at Analytics?

Published By: IBM     Published Date: Nov 20, 2015
Discover how proficient your organization is at using advanced analytics to transform the way you do business. Take the assessment.
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ibm, energy, utilities, analytics, business technology
    
IBM

Building Analytics Now and for the Future

Published By: IBM     Published Date: Feb 02, 2016
In this white paper, IDC Energy Insights discusses the current and future challenges that utilities face in meeting their business objectives and the role analytics will play.
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analytics, energy, utilities, ibm, big data, analytical applications, business intelligence, productivity
    
IBM

Powering Up Customer Experience: How utilities can reinvent their business model

Published By: IBM     Published Date: Feb 02, 2016
Read this editorial to learn about the challenges and opportunities ahead for energy companies, and find out how utilities can use analytics to improve satisfaction by gaining insight into consumption and billing patterns—as well as the products and services that interest customers most.
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ibm, analytics, energy, utilities, customer experience, social media, data, customer management
    
IBM

CEM For Energy Companies: The Path to Happy Customers & Greater Results

Published By: IBM     Published Date: Feb 02, 2016
Energy firms should build and nurture a customer-centric culture delighting clients while maximizing operational and financial results. In doing so, we’ll highlight the crucial role analytics plays in helping energy firms ensure operational efficiency and customer satisfaction.
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ibm, energy, analytics, utility, customer experience, data, customer satisfaction, analytical applications
    
IBM

Customer Experience Management For Energy Companies: The Path to Happy Customers & Greater Results

Published By: IBM     Published Date: Apr 20, 2016
Energy firms should build and nurture a customer-centric culture delighting clients while maximizing operational and financial results. In doing so, we’ll highlight the crucial role analytics plays in helping energy firms ensure operational efficiency and customer satisfaction.
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ibm, customer experience management, cem, energy, utilities, energy sector, aberdeen group
    
IBM

Powering Up Customer Experience: How utilities can reinvent their business model to delight customer

Published By: IBM     Published Date: Apr 21, 2016
Read this editorial to learn about the challenges and opportunities ahead for energy companies, and find out how utilities can use analytics to improve satisfaction by gaining insight into consumption and billing patterns—as well as the products and services that interest customers most.
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ibm, customer experience, energy, utilities, customer relations
    
IBM

The Future of Energy and Utilities - An IBM POV

Published By: IBM     Published Date: Feb 28, 2017
Energy companies are being challenged on multiple fronts. Core expectations require the delivery of safe, reliable, affordable and sustainable energy. Business models are being challenged by alternatives such as renewables and consumers demanding more sophisticated interactions through social and mobile. Energy companies need to: Disruptively innovate business processes through analytics driven operational excellence to increase agility and responsiveness, reduce operational costs and improve asset reliability Assume the role of energy integrator to optimally balance supply and demand points Deliver a 360-degree customer-of-one experience to increase customer satisfaction and loyalty, reduce costs, and improve management of energy demand
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ibm, energy & utilities, utility trends, pov, ibm pov, customer experience, sustainable energy, affordable energy
    
IBM

Using Smart Building Energy Analytics to Drive Down Energy Costs

Published By: IBM US Smarter Buildings     Published Date: Apr 23, 2012
According to IDC - "Smart Building Energy Analytics solutions are the pivotal piece of intelligence from the end user's perspective because they bring heightened visibility into facility operations and maintenance to enable a new level of sophistication in building management." Learn more - download the study today.
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ibm, smarter buildings, eam, asset management, workplace solutions
    
IBM US Smarter Buildings

DER and Analytics: How New Analytics Platforms Meet a Critical Need

Published By: Landis + Gyr     Published Date: Mar 17, 2016
The rapid acceleration of Distributed Energy Resources (DER) presents a range of challenges for electric utility management. The good news is that a strategic approach, one that taps the power of data analytics, can meet the rising need to manage DER. Download this white paper, to learn about the current state of DER and how to get started with a smart grid analytics solution: • Cost-benefit analysis • Challenges of integrated DERs • Planning considerations • Advanced analytics tools and predictive grid analytics benefits • Choosing a platform
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cost-benefit analysis, der, analytics, platform, utility, smart grid
    
Landis + Gyr

Case Study: J.R. Simplot Data Center Refurbishment

Published By: Raritan Inc.     Published Date: Aug 04, 2010
This Case Study explores how they installed energy management software and intelligent rack PDUs with outlet-level power monitoring to add remote energy management, power monitoring of individual devices, environmental monitoring, and sophisticated and accurate power usage reports and analytics.
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raritan, power, processing, energy management, data center efficiency, power management, instrumentation, green, green computing, efficiency, power load, it equipment, pts, datacenter, cooling, distributed computing, infrastructure, network architecture, network management, passive & discrete components
    
Raritan Inc.

10 Ways Analytics Can Make Your City Smarter

Published By: SAS     Published Date: Jan 17, 2018
For many of us, the term “smart city” conjures up images of sensors collecting data about everything from traffic patterns to energy use. It’s common for government leaders to think, “That’s not for us. We’re not there yet.” But if your organization is collecting data of any kind, you are in a position to use that data to create a smarter city for your citizens. Download this whitepaper for 10 examples of analytics being used to solve problems or simplify tasks for government organizations.
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SAS

Navigant: Charging Ahead with EV Analytics

Published By: SAS     Published Date: Jun 11, 2018
Electric vehicle technology touches all areas of the utility business, including IT, forecasters and grid operations. The growth of IoT-connected devices, both in the utility-owned grid and customer-owned smart energy apps, makes this a rich field for innovation. But what analytics infrastructure is needed in order to manage the future demand coming from EVs? And what opportunities and risks do EVs present? This white paper from Navigant Research, sponsored by SAS and Intel, explores the analytics infrastructure that utilities need to prepare for and benefit from the growth of EVs.
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SAS

Why the Energy Sector Needs a More Intelligent Distributed IoT Solution

Published By: Sierra Wireless     Published Date: Jun 19, 2019
The IoT is transforming the energy industry by eliminating tradeoffs between operation, SCADA systems, maintenance and new services for assets deployed in industrial and power facilities, buildings and across the grid. When it comes to building the best IoT system for your business application, it’s vital to keep your use case and business requirements at the forefront of your technical design strategy. In the energy industry, accessing and collecting data at the edge from disparate, heterogenous, multi-site, fixed topologies and transferring that data efficiently to the cloud to perform analytics and action business decisions is still the greatest challenge. Mission-critical data collected from the edge is integral to energy facility operations and cannot be excluded or corrupted.
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Sierra Wireless

Keep Up With Explosive Data Growth Up Using Analytics in the Cloud

Published By: Teradata     Published Date: Jan 22, 2014
Trying to keep up with explosive data growth? Want to reduce your energy consumption costs? Or keep up with a constantly “on-the-go” consumer and workforce? You need Analytics in the Cloud.
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cloud analytics, big data, private cloud, public cloud, cloud computing, infrastructure
    
Teradata

Vestas Spins Up Wind Generation with Spotfire

Published By: TIBCO Software     Published Date: Sep 21, 2018
BUSINESS CHALLENGE “Vestas is a global market leader in manufacturing and servicing wind turbines,” explains Sven Jesper Knudsen, Ph.D., senior data scientist. “Turbines provide a lot of data, and we analyze that data, adapt to changing needs, and work to create a best-in-class wind energy solution that provides the lowest cost of energy. “To stay ahead, we have created huge stacks of technologies—massive amounts of data storage and technologies to transform data with analytics. That comes at a cost. It requires maintenance and highly skilled personnel, and we simply couldn’t keep up. The market had matured, and to stay ahead we needed a new platform. “If we couldn’t deliver on time, we would let users and the whole business down, and start to lose a lot of money on service. For example, if we couldn’t deliver a risk report on time, decisions would be made without actually understanding the risk landscape.
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data solution, technology solution, data science, streaming data, fast data platform, self-service analytics
    
TIBCO Software
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