service analytics

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IDC Infobrief: 5 Lessons Learned from Transitioning to the Cloud

Published By: Forcepoint     Published Date: May 14, 2019
IDC Infobrief: How Security Solutions Enable Cloud Success Cloud applications have transformed how organizations conduct business, increasing productivity and reducing costs. However, moving to the cloud means critical data now flows outside the organization’s traditional security boundaries. Unsurprisingly, security concerns still rank as the number one reason for not using cloud services*. This IDC InfoBrief, sponsored by Forcepoint, outlines five key security considerations and best practices for safe cloud adoption, including: Multi-cloud adoption: exposing challenges for security architectures Cloud-first and GDPR implications Cloud application visibility and control Data management and DLP in the cloud Leveraging User and Entity Behavior Analytics (UEBA) for protection Read the eBook to find out the five information security lessons learned from transitioning to the cloud. *IDC’s 2017 CloudView Survey; IDC’s 2017 CloudImpact Survey
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Forcepoint

Are Your Customers Being One Hundred Percent Truthful With You?

Published By: Freshdesk     Published Date: Aug 15, 2016
There are quite a few things that your customers just aren’t telling you. But since you aren’t a telepath and you don’t own a Cerebro, the only thing you can do is wait for them to come to you with it. But not anymore. In this whitepaper, you'll learn the most important things that your support team should already know, but customers will never tell you, like: - Why you should design intelligence into your self-service experience - When you should resort to analytics and when "gut-feel" helps - How you can proactively manage, and prevent customer frustrations - What your core support bottlenecks are, and how to identify them - How to set a "Priority" driven support work-flow
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Freshdesk

Why One CIO Hopes Self-service Analytics Will Make IT Irrelevant

Published By: FusionOps     Published Date: Jun 15, 2016
Download this white paper to learn why Merck Animal Health's Dave Williams is striving for self service supply chain analytics with the help of cloud software.
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FusionOps

Ovum Decision Matrix: Selecting a Multichannel Cloud Contact Center Solution, 2017-18

Published By: Genesys     Published Date: Feb 27, 2018
With all the options in the rapidly changing marketplace for cloud-based contact centers, it’s a challenge to find the right solution for your business. Easily compare the leading contact center solution vendors in the Ovum Decision Matrix: Selecting a Multichannel Cloud Contact Center Solution, 2017-18, based on their ability to offer full voice call routing and multichannel customer service in the cloud. Learn why Genesys has been positioned as a leader who has solutions for businesses of all sizes and in all industries around the world. Read the Ovum Decision Matrix to: • Compare cloud contact center solutions based on the strength of their technology platforms • Contrast vendors on their ability to handle multichannel customer interactions and connect with customer and company data through analytics • Understand each vendor’s market impact and why Genesys was chosen as a leader
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ovum, multichannel cloud contact center, contact center, decision matrix
    
Genesys

ESG Brief: The Importance of a Common Distributed Data Services Layer

Published By: Gigamon     Published Date: Sep 03, 2019
The IT pendulum is swinging to distributed computing environments, network perimeters are dissolving, and compute is being distributed across various parts of organizations’ infrastructure—including, at times, their extended ecosystem. As a result, organizations need to ensure the appropriate levels of visibility and security at these remote locations, without dramatically increasing staff or tools. They need to invest in solutions that can scale to provide increased coverage and visibility, but that also ensure efficient use of resources. By implementing a common distributed data services layer as part of a comprehensive security operations and analytics platform architecture (SOAPA) and network operations architecture, organizations can reduce costs, mitigate risks, and improve operational efficiency.
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Gigamon

Equilibrium: The Secret to Success in Self-Service Business Intelligence

Published By: Gleanster Research     Published Date: Oct 11, 2012
Authored by two luminary Business Intelligence (BI) industry analysts. This 9 page report exposes best practices on Self-Service BI. The findings come from a Q3'12 survey on BI, which captured the experiences of 327 organizations.
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business intelligence, cio, self-service, business analytics, data warehouse, data, analysis, business technology
    
Gleanster Research

Unlocking the Power of IoT Through Actionable Insights from Data Analytics

Published By: Google     Published Date: Oct 26, 2018
The Internet of Things is growing fast: By 2025, IoT devices will transmit an estimated 90 zettabytes of data to their intended targets, according to IDC. Armed with information, businesses can revolutionise everything from fraud detection to customer service. But first, they need an architecture that supports real-time analytics so they can gain actionable insights from their IoT data. Read the complete report sponsored by Google Cloud, and learn how to mitigate key IoT-related challenges.
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Google

Unlocking power through IoT Unlocking the Power of IoT Through Actionable Insight

Published By: Google     Published Date: Dec 03, 2018
The Internet of Things is growing fast: By 2025, IoT devices will transmit an estimated 90 zettabytes of data to their intended targets, according to IDC. Armed with information, businesses can revolutionise everything from fraud detection to customer service. But first, they need an architecture that supports real-time analytics so they can gain actionable insights from their IoT data. Read the complete report sponsored by Google Cloud, and learn how to mitigate key IoT-related challenges.
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Google

Unlocking the Power of IoT Through Actionable Insights from Data Analytics

Published By: Google     Published Date: Jan 24, 2019
The Internet of Things is growing fast: By 2025, IoT devices will transmit an estimated 90 zettabytes of data to their intended targets, according to IDC. Armed with information, businesses can revolutionise everything from fraud detection to customer service. But first, they need an architecture that supports real-time analytics so they can gain actionable insights from their IoT data. Read the complete report sponsored by Google Cloud, and learn how to mitigate key IoT-related challenges.
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Google

5 Step Roadmap for Evaluating Ad Hoc Reporting Tools

Published By: GrapeCity, Inc.     Published Date: Feb 25, 2013
Since business-wide deployment of ad hoc reporting tools can be a resource-intensive process, this white paper offers five-step roadmap of evaluation steps to help fully assess the quality of the products under consideration.
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ad hoc reporting, ad hoc report designer, self-service bi, business intelligence, reporting, activereports, web-based reporting, mobile bi
    
GrapeCity, Inc.

Top 7 Tips for Choosing a Mobile BI Solution

Published By: GrapeCity, Inc.     Published Date: Feb 25, 2013
Gartner predicts that by 2016, 40 percent of the global workforce will be mobile, and, by 2018, 70 percent of workers will be mobile. This white paper discusses how to choose a mobile ad hoc BI solution.
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ad hoc reporting, ad hoc report designer, self-service bi, business intelligence, reporting, activereports, web-based reporting, mobile bi
    
GrapeCity, Inc.

How to Effectively Deploy Ad Hoc Reporting for Business Users

Published By: GrapeCity, Inc.     Published Date: Feb 25, 2013
Getting ad hoc reporting tools into users’ hands can be a logistical challenge. This white paper offers five tips for easing that process and discusses how to effectively deploy ad hoc reporting for business users.
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ad hoc reporting, ad hoc report designer, self-service bi, business intelligence, reporting, activereports, web-based reporting, mobile bi
    
GrapeCity, Inc.

10-Point Checklist for Ensuring Self-Service BI Adoption

Published By: GrapeCity, Inc.     Published Date: Feb 25, 2013
Encouraging self-service BI adoption is both a technical and a human resource effort. This white paper offers a 10-point checklist for improving this process, and includes these questions and more in this easy-to-read white paper.
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ad hoc reporting, ad hoc report designer, self-service bi, business intelligence, reporting, activereports, web-based reporting, mobile bi
    
GrapeCity, Inc.

5 Data Visualization Best Practices for Ad Hoc Reporting

Published By: GrapeCity, Inc.     Published Date: Feb 25, 2013
When it comes to explaining information, this white paper outlines a few basic data visualization tips to improve the impact of visualizations, ensuring that the story in the data is expressed as effectively as possible.
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ad hoc reporting, ad hoc report designer, self-service bi, business intelligence, reporting, activereports, web-based reporting, mobile bi
    
GrapeCity, Inc.

HotSchedules Takes Sales to the Next Level

Published By: Groove     Published Date: May 16, 2018
HotSchedules is a technology company that streamlines several aspects of running a business in the service industry. The sales team at HotSchedules had been using Salesforce for several years, but they were spending a lot of time on data entry and other manual tasks. They needed a way to simplify recordkeeping so they could spend more time talking to prospects. The HotSchedules sales team is taking advantage of the full suite of features in Groove to enhance their sales operations at every turn — from Salesforce integration to multi-step campaigns to analytics. Let’s take a look.
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Groove

Bridging to the Cloud: The Right Database Can Make the Difference

Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18

Putting An End To Content Chaos

Published By: Group M_IBM Q1'18     Published Date: Dec 21, 2017
Consider the volume of business content that your organization generates or receives every day: applications, forms, reports, office documents, audio, video, and even social media about your company. If it is poorly managed, not digitized, or disconnected from critical business processes, it creates chaos. This chaos impacts your ability to deliver exceptional customer service; it slows down important processes, increases security risk, and negatively impacts revenue. Conversely, controlling content chaos can significantly improve your analytics strategy by gaining insight and business value from dark or unstructured data sources. In this eBook, learn how cognitive and cloud-based Enterprise Content Management, or ECM, can help you protect your content while gaining a competitive advantage from it as you grow.
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business content, volume, cloud-based, enterprise content management, ecm
    
Group M_IBM Q1'18

Bridging to the Cloud: The Right Database Can Make the Difference

Published By: Group M_IBM Q1'18     Published Date: Jan 08, 2018
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18

Create a Tranformative Digital Experience

Published By: Group M_IBM Q1'18     Published Date: Feb 09, 2018
Thrill customers and empower employees with omni-channel, socially-infused digital experiences to drive better business outcomes IBM Customer Experience Suite features rich, integrated capabilities for managing web content, rich-media assets, real-time social communications, robust customer self-service capabilities, business analytics and mobile device delivery IBM Employee Experience Suite enables employees to easily find and share relevant information across multiple platforms, diverse geographies with multiple languages, and within the context of business applications
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digital experience, ibm, software
    
Group M_IBM Q1'18

Data Warehouse Appliances and the New World Order of Analytics

Published By: Group M_IBM Q119     Published Date: Mar 04, 2019
There can be no doubt that the architecture for analytics has evolved over its 25-30 year history. Many recent innovations have had significant impacts on this architecture since the simple concept of a single repository of data called a data warehouse. First, the data warehouse appliance (DWA), along with the advent of the NoSQL revolution, selfservice analytics, and other trends, has had a dramatic impact on the traditional architecture. Second, the emergence of data science, realtime operational analytics, and self-service demands has certainly had a substantial effect on the analytical architecture.
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Group M_IBM Q119

Data Warehouse Appliances and the New World Order of Analytics

Published By: Group M_IBM Q2'19     Published Date: Apr 02, 2019
There can be no doubt that the architecture for analytics has evolved over its 25-30 year history. Many recent innovations have had significant impacts on this architecture since the simple concept of a single repository of data called a data warehouse. First, the data warehouse appliance (DWA), along with the advent of the NoSQL revolution, selfservice analytics, and other trends, has had a dramatic impact on the traditional architecture. Second, the emergence of data science, realtime operational analytics, and self-service demands has certainly had a substantial effect on the analytical architecture.
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Group M_IBM Q2'19

Survey Report: Data Integration Reaches Inflection Point

Published By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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Group M_IBM Q2'19

HFS Top 10 Cognitive Assistant Service Providers

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

2019 Gartner Magic Quadrant for Data & Analytics service Providers, Worldwide

Published By: Group M_IBM Q4'19     Published Date: Sep 26, 2019
IBM has been named a Leader in Gartner's Magic Quadrant for Data & Analytics Services. According to the report, by 2022, 90% of corporate strategies are expected to view information as a critical enterprise asset, and analytics as an essential competency. Data and analytics service providers can help leaders accelerate and transform their ability to deliver data-driven insights and innovation solutions to businesses. Get complimentary access to Gartner's latest Magic Quadrant report for Data & Analytics Service Providers.
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Group M_IBM Q4'19

IBM IBV: The modern mainframe: The banking platform from the future

Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
There are three things that senior executives in the financial services industry want from their investments in computing systems. They are the same three things these institutions require for their very survival. First is unwavering security. The integrity of customer accounts and records is paramount to maintain trust across the financial ecosystem. Cybercrime is anathema to the core function of banking and cannot be tolerated. Next is captivating, personalized experiences based on real-time data analytics leading to instantaneous customer fulfillment. And finally, there is the essential delivery of these secure experiences while providing a cost and efficiency advantage over competing solutions
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Group M_IBM Q418
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