it analytics

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Published By: Hewlett Packard Enterprise     Published Date: Jul 25, 2019
With digital IT transformation solutions and new business models driven by the democratization of data, advanced analytics, and a citizen-centric approach, HPE helps cities like yours get smarter—and continue to evolve into great places for your citizens to live. Visit hpe.com/info/public-sector to learn how you can take the next step on your journey.
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Hewlett Packard Enterprise
Published By: RMS     Published Date: Jul 18, 2019
The more holistic view of risk a property underwriter can get, the better decisions they are likely to make. In order to build up a detailed picture of risk at an individual location, underwriters or agents at coverholders have, until now, had to request exposure analytics on single risks from their portfolio managers and brokers. Also, they had to gather supplementary risk data from a range of external resources, whether it is from Catastrophe Risk Evaluation and Standardizing Target Accumulations (CRESTA) zones to look-ups on Google Maps.
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RMS
Published By: RMS     Published Date: Jul 25, 2019
U.S. Flood is a high-gradient, intricate peril incorporating various sources, and causing a variety of effects. It requires sophisticated models, data science, and analytics technology to properly understand and assess each risk.
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RMS
Published By: Google     Published Date: Aug 05, 2019
"Agile BI requires more than just agile dashboards. True agility means prototyping data models quickly so business users can continuously iterate on them. Application development and delivery professionals working on BI initiatives should consider adding DWA platforms to their BI toolbox. This Forrester report discusses how seven data warehouse automation vendors bring Agile options to all phases of BI/analytics application development. Read more to find out how these platforms help facilitate shorter development cycles."
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data warehouse automation, forrester, agile solutions, business intelligence, analytics
    
Google
Published By: Google     Published Date: Aug 05, 2019
As organizations continue to produce vast quantities of data, they increasingly need platforms that allow them to analyze, store, and extract meaningful insights from that data. Gartner helps data and analytics leaders evaluate 19 vendors in an increasingly split market. Download the Gartner Magic Quadrant report and find out more.
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data management, database solutions, databases, enterprise database, managed database
    
Google
Published By: KPMG     Published Date: Jul 31, 2019
From intelligent automation to advanced analytics, disruptive technology will enable the finance function to provide all of its services more effectively and efficiently. Find out how technology will change the way finance delivers transactional services, expert services and business partnering, Read this report to discover: • how automation in finance can deliver expert services more reliably and with smaller workforces • how to design an agile workforce of humans and technologies • how the finance function will shift to be part of a cross-functional analytics model that provides key insights to the business
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KPMG
Published By: InMoment     Published Date: Aug 08, 2019
According to research from Digital Banking Report2, FinServ organizations must focus on five crucial CX priorities in order to meet the needs of their evolving clients: -Digital Experience Enhancement -Advanced Analytics for Personalization -Omnichannel Engagement -Proactive Sales and Advisory -Lifetime Engagement
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InMoment
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
Published By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
HfS published the Top 10 Cognitive Assistant Service Provider report that explores the emerging conversational service provider ecosystem across key areas including execution ability, innovation capability, and the voice of the customer. The conversational services called as Cognitive Assistants, go beyond the traditional chatbots and augment human-customer interaction across both front- and back-office business operations. IBM was recognized for its market leadership in Cognitive Assistant that harness the power of IBM Watson capabilities – including NLP, conversation and analytics. HfS also merits IBM for demonstrating the greatest volume and depth of cognitive assistant use cases across industry verticals and enterprise processes.
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Jun 27, 2019
Organizations continue to rush down the digital transformation path. Whether by modernizing their IT infrastructures, leveraging the cloud, or becoming data-centric and data-driven, organizations must become more agile in their business practices and within their IT infrastructure stack to effectively compete in today’s dynamic business environment. Between the speed and distributed nature of modern businesses, as well as the expectation of instantaneous access to data from everyday users, it’s not surprising that nearly one in three organizations are looking into ways to improve data analytics for real-time business intelligence and customer insight.
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Group M_IBM Q3'19
Published By: Infinidat EMEA     Published Date: May 14, 2019
Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and website interaction data are all being collected and analyzed. In addition, as IT budgets are already under pressure, Big Data footprints are getting larger and posing a huge storage challenge. This paper provides information on the issues that Big Data applications pose for storage systems and how choosing the correct storage infrastructure can streamline and consolidate Big Data and analytics applications without breaking the bank.
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Infinidat EMEA
Published By: Infinidat EMEA     Published Date: Jun 10, 2019
Digital disruption, economic instability, political upheavals and skills shortages have all at some point in the past 24 months been blamed for business failure, or at the very least, lost profitability and earnings. It’s perhaps not a huge surprise that a Gartner CEO survey on business priorities revealed that digital business is a top priority for next year. Survey respondents were asked whether they have a management initiative or transformation program to make their business more digital. The majority (62 percent) said they did. Of those organisations, 54 percent said that their digital business objective is transformational while 46 percent said the objective of the initiative is optimisation.* So, for businesses it’s a case of learning to evolve and be agile, to use technology to help compete more efficiently and not fall victim to inertia. As businesses become increasingly dependent on the insights from data analytics and face-up to competition fuelled by the 24/7 society of in
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Infinidat EMEA
Published By: Flexential     Published Date: Jul 17, 2019
In a data environment that’s become increasingly centralized by public cloud services, the “edge” is emerging as a critical solution for reducing latency for network-based services. Consumption habits of services and the need for analytics are shifting beyond core population centers, becoming local and even hyper-local within a region or city. As the online population continues to grow and new services emerge, the ability to handle data traffic securely – close to the customer or application – will become a common pattern for the new service evolution.
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Flexential
Published By: Artemis Health     Published Date: Aug 08, 2019
Consultants and advisors are on the front lines of benefits data analytics. They’re the folks who dig through thousands of rows in a spreadsheet to surface problems and find solutions. In this whitepaper, we’ll dive deep on the advantages consultants offer to employers: • Access to data analytics, trend analysis, and program measurement • The expertise to identify, track, and take action on chronic conditions in a member population • The industry insight into public policy and regulation changes
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Artemis Health
Published By: Artemis Health     Published Date: Aug 08, 2019
Artemis Health teamed up with Employee Benefit News to research the current “benefits landscape.” We surveyed self-insured employers to find useful trends, interesting stats, and info on what leaders like you are doing to improve their benefits strategy. In this whitepaper, you'll discover: • Regional differences in benefits offerings and priorities • What benefit leaders believe they can accomplish with benefits data analytics • The features and functionality your peers are looking for when they evaluate a data solution
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Artemis Health
Published By: ttec     Published Date: Jul 24, 2019
Let’s face it: in today’s B2B landscape, the buyers call the shots. Buyers today are proactive, research their own options, and often include many decision makers rather than just one who can be wooed on a golf course or over dinner. So, where does that leave the salesperson? To succeed in this new landscape, sales professionals must understand how the buyer’s journey has changed and unlock the advantages that data analytics and statistical modeling can offer. Sales and marketing teams must also learn how to align their efforts to present a truly coordinated experience. Read this paper to learn how to take advantage of untapped opportunities for helping sales teams evolve in today’s buyer-empowered landscape.
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ttec
Published By: Juniper Networks     Published Date: Jul 31, 2019
When data center architecture extends beyond even moderate amounts of sophistication and complexity, it becomes a daunting challenge for operators to understand what is going on by relying on common tools and processes alone. Read this eGuide for five recommendations that can help you make sense of your data.
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cloud providers, cloud provisioning, cloud services, data centre, data centre provider
    
Juniper Networks
Published By: Juniper Networks     Published Date: Jul 31, 2019
As modernized data centers scale up and out, there is a strong potential for growing complexity as well. IT teams need to be vigilant in simplifying architectures and operations as the technological landscape changes. While the potential of monitoring and analytics in your data center is huge, to take advantage, you'll need an architecture that can handle shifting traffic patterns. In this expert eGuide, you'll discover three ways of simplifying architectures, and how they can help you reduce complexity, improve workforce efficiency, and ease administration.
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cloud providers, cloud provisioning, cloud services, data centre, data centre provider
    
Juniper Networks
Published By: Cohesity     Published Date: Aug 09, 2019
An Italian bank with an appetite for innovation and infrastructure standardization, automated, and cloud-ready Cohesity Data platform. In two years, the organization has simplified its secondary stage environment with a single data management pane to improve backup SLAs, cut costs, and deliver up-to-date and relevant data for test & dev and analytics teams at scale to test fast, fail fast, and innovate fast.
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Cohesity
Published By: Genesys     Published Date: Jun 19, 2019
Successfully managing a contact center requires a collaborative, multidisciplinary approach to handle a broad range of operational and tactical tasks. Planning, day-to-day operations and quality management must be seamlessly orchestrated, along with human resources functions like recruitment, learning and development, and employee scheduling. Read this executive brief to learn how to transition to an AI strategy that can take your team – and business results – to the next level. See how you can: Create an AI strategy with a single data model that includes routing, interaction analytics, forecasting/scheduling and predictive engagement Harness the power of your data to align customers with the best resource Drive employee effectiveness by ensuring you hire the right people and manage their performance to drive their success over the long term
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Genesys
Published By: SAS     Published Date: Jun 26, 2019
From child welfare and public health to combating prescription abuse and improving education, analytics is improving government programs around the world. The articles in this e-book touch on several areas where analytics is making, or could make, a significant impact in the way governments operate. We’ve pulled together some of our favorite best practices that showcase the role analytics plays in better decision making.
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SAS
Published By: SAS     Published Date: Jun 26, 2019
To support open government initiatives and uphold the values of transparency, participation and collaboration in the US, federal agencies today make their data open, or publicly accessible. Citizens can use this open data to assess college affordability, the economy, educational issues, environmental damage, health care, taxes, agriculture, the climate and more. Governments can use APIs to pull this open data into SAS Visual Analytics as a way to identify trends and patterns and obtain all sorts of new insights. With public health surveillance, for example, governments can monitor and evaluate indicators that point to high-risk areas so they’ll know where and how to focus efforts. Such public health surveillance can serve as an early warning system for impending emergencies, document the impact of an intervention, track progress toward public health goals, and clarify health problems to inform public health policies and strategies.
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SAS
Published By: Simba by Magnitude     Published Date: Jul 12, 2019
Today’s C-level executives expect data and analytics to provide them with speed and agility to deliver competitive advantage and to disrupt new markets. But, in today’s complex data environment exists a near paradox between these expectations, that companies will be able to rapidly deliver value using data and analytics--and the complexities of the data landscape, making it more difficult to find, govern, connect to and access the data needed to deliver that value. Once thing is clear: if management expectation is to be met, simplifying connectivity is a must.In this white paper, veteran analyst Mike Ferguson, Managing Director of Intelligent Business Strategies explores how simplifying data access –connectivity –aligns expectations with data realities thus decreasing time to value.
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Simba by Magnitude
Published By: Sitecore     Published Date: Nov 04, 2009
This report highlights the strategic value of a next generation web content management system integrated with lead scoring, email marketing, customer relationship management, and web analytics. The report links the technology and practices of Best-in-Class organizations to engage customers, provide personalized experiences and manage the lead lifecycle.
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sitecore, aberdeen, lifecycle management, web content management, analytics, crm, emarketing, email marketing, lead generation
    
Sitecore
Published By: Sitecore     Published Date: Jan 06, 2009
This guide offers insight into the WCM technology choices available today, discusses some of the requirements both IT and business users should consider when selecting a WCM solution, and includes advice for ensuring a successful evaluation process.
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sitecore, aberdeen, lifecycle management, web content management, analytics, crm, emarketing, email marketing, cms, lead generation
    
Sitecore
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