utility analytics

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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
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
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
Tags : cost-benefit analysis, der, analytics, platform, utility, smart grid
     Landis + Gyr
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
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.
Tags : cloud-based data management, sustainability energy, future of energy, data analytics, utility analytics, grid optimization, advanced analytics integration, cloud-based services
     IBM
By: IBM     Published Date: Apr 13, 2015
IDC Retail Insights defines omni-channel merchandise optimization as the set of technologies, data assets, skills, processes, and management intent required to develop and maintain sets of targeted and localized offers that best satisfy important business objectives. These goals include customer satisfaction, customer lifetime value, and category, channel, and corporate performance. By "offers," IDC Retail Insights means the broad set of attributes that characterize assortments, products, services, prices, utility, and convenience that match customers' buying criteria and shopping behaviors. Targeted and localized offers present a compelling "choice set" that satisfies and delights consumers. Download this white paper to read the questions posed by IBM to Greg Girard, program director of Omni-Channel Analytics Strategies at IDC Retail Insights, on behalf of IBM's customers.
Tags : omni-channel merchandise, ibm, targeted offers, localized offers, customer satisfaction, corporate performance
     IBM
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
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
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