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By: Avi Networks     Published Date: Mar 06, 2019
OpenShift-Kubernetes offers an excellent automated application deployment framework for container-based workloads. Services such as traffic management (load balancing within a cluster and across clusters/regions), service discovery, monitoring/analytics, and security are a critical component of an application deployment framework. Enterprises require a scalable, battle-tested, and robust services fabric to deploy business-critical workloads in production environments. This whitepaper provides an overview of the requirements for such application services and explains how Avi Networks provides a proven services fabric to deploy container based workloads in production environments using OpenShift- Kubernetes clusters.
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     Avi Networks
By: TIBCO Software APAC     Published Date: Feb 14, 2019
Tips and best practices for data analytics executives Organizations today understand the value to be derived from arguably their greatest asset—data. When successfully aggregated and analyzed, data can unlock valuable insights, solve problems, improve products and services, and help companies gain a competitive edge. However, analytics executives face significant challenges in collecting, validating and analyzing data to deliver the right analytic insight to the right person at the right time. This e-book is designed to help. First, we'll explore the growing expectations for data analytics and the rise of the analytics executive. Then we'll explore a range of specific challenges those executives face, including those around data blending, analytics, and the organization itself, and offer best practices and strategies for meeting them.
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     TIBCO Software APAC
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
By: HPE Intel     Published Date: Mar 15, 2016
As more enterprises adopt technologies such as cloud, mobile, and analytics to help achieve strategic competitive advantage, CIOs and IT managers must support business-critical processes at a very high level across the enterprise. At the same time, IT organizations must manage complex hybrid IT infrastructures that include both cloud and on-premises technologies from multiple vendors and support providers. IDC believes that to tackle these challenges, IT organizations should look to support providers for comprehensive offerings to help optimize IT operations and improve the efficiency of IT service delivery. In addition, IDC recommends that IT organizations looking to manage rapid change in today’s IT landscape consider support providers with a record of innovative support services and a focus on advanced technology in support delivery.
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     HPE Intel
By: Oracle     Published Date: Jan 08, 2018
In the age of the customer, businesses realize the need to take their big data insights further than they have before, in order to win, serve, and retain their customers. Today’s modern company has more data than ever before and is now looking to derive insights from the data that will help propel it forward. As firms move data analytics to the cloud, there is a new set of challenges and barriers to overcome, but with the help of insights-platforms-as-a-service, companies will be able to innovate with data and drive business forward.
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     Oracle
By: LogMeIn     Published Date: Mar 19, 2015
Remote support technology, including remote control, desktop sharing, and web collaboration, is one of the most popular platforms used across TSIA service disciplines. Today’s remote support solutions offer much more than just remote control for PCs, their functional footprint is expanding to include support for more devices and richer analytics for trend analysis and supervisor dashboards. Remote support solutions are typically well regarded by users, consistently delivering one of the highest average satisfaction scores in TSIA’s annual Global Technology Survey. Service executives should acquaint themselves with the new features and capabilities being introduced by leading remote support platforms and find ways to leverage the capabilities beyond technical support. Field services, education services, professional services, and managed services are all increasing adoption of these tools to boost productivity and avoid on-site visits. Download this white paper to learn more.
Tags : remote support, remote technology, customer support, productivity, remote technology, crm & customer care, marketing research, sales
     LogMeIn
By: SurveyMonkey     Published Date: Oct 23, 2015
Watch our webinar, 4 Steps to Building a Customer Satisfaction Engine. SurveyMonkey's Director of Customer Success, Jeffrey Coleman, will show you how to: - Ask questions that yield actionable data - Scale follow-up actions and improvements - Analyze survey data and get key metrics - Close the loop by turning data into action
Tags : survey monkey, customer satisfaction, customer success, data analytics, survey data, client services, customer operations, salesforce
     SurveyMonkey
By: Pega     Published Date: May 25, 2016
IT leaders working on customer service projects must display an incredible amount of diligence. An organization’s CRM system has become its lifeline to customers, but as customer needs evolve so has the requirements of CRM. According to Gartner, today’s CRM solution must include a laundry list of capabilities outside its traditional core functionality including: native mobile support of the vendor's customer service and support business applications; real-time analytics; industry-specific functionality and workflow; context mining of voice and text; scalable cloud-based systems; social media engagement; suggested next agent action; multimodal capabilities, such as chat within mobile self-service; and even co-browsing. Gartner surveyed the CRM field and evaluated each vendor including Pegasystems. Download this Gartner Magic Quadrant analysis and gain a better understanding each vendors’ CRM Customer Engagement Center solutions.
Tags : best practices, customer support, business intelligence, business optimization, customer engaement
     Pega
By: Adobe     Published Date: Apr 23, 2018
Adobe sits at the nexus of content, media, and marketing. Adobe provides an EMSS offering spanning marketing, advertising, analytics, and content management capabilities. Of the vendors included this study, Adobe maintains the highest degree of overall strategic focus on marketing and consumer engagement. Adobe is investing heavily in its platform’s core services to unify data, content, and shared functionality across products. Adobe stands out for its digital intelligence, content handling, and aggressive rollout of AI features. Reference clients praise Adobe for their application usability and account management.
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     Adobe
By: Adobe     Published Date: Apr 23, 2018
Adobe article that condenses/highlights key findings from the Econsultancy Digital Marketing in the Financial Services and Insurance Sector 2017 Study, an in-depth, 5000+ word report covering FSI executives’ opinions on: – General trends in retail banking, investment banking, and insurance – Internal structures their companies are using to execute digital transformation – The biggest threats/disruptions in the industry – The biggest priorities in 2017 (leaders are focusing on both customer retention and customer acquisition, mainstream is focusing just on customer retention) – Main sources of sales and leads (digital + mobile are steadily increasing sources) – Digital marketing budgets & investment areas (leaders are investing more in digital marketing automation and analytics) – Use of the cloud and AI to automate analysis and marketing – The importance of multichannel personalization – Innovation in the types/formats of products/services provided (leaders are focusing on i
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     Adobe
By: Oracle CX     Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure 1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data. In-memory databases have helped address p
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     Oracle CX
By: Cognizant     Published Date: Oct 03, 2017
Impact that situation awareness can have on extended supply chain operations w/focus on logistics companies
Tags : data science, predictive analytics, applications services, systems integration, business process management, digital transformation, social mobile analytics cloud (smac), integrated cloud services
     Cognizant
By: Cognizant     Published Date: Sep 19, 2017
Focus on creating consistent terminology in order to generate insights from the digital data encircling employees, partners, processes and customers.
Tags : data science, predictive analytics, applications services, systems integration, business process management, digital transformation, social mobile analytics cloud (smac), integrated cloud services
     Cognizant
By: Cognizant     Published Date: Sep 21, 2017
Additional insight on Forbes Research that ends with four “How To Get Started” steps.
Tags : data science, predictive analytics, applications services, systems integration, business process management, digital transformation, social mobile analytics cloud (smac), integrated cloud services
     Cognizant
By: Cognizant     Published Date: Sep 21, 2017
The impact that state-of-the-art simulation and modeling techniques can have on supply chain operations.
Tags : data science, predictive analytics, applications services, systems integration, business process management, digital transformation, social mobile analytics cloud (smac), integrated cloud services
     Cognizant
By: IBM APAC     Published Date: Nov 22, 2017
Using IBM Watson’s cognitive capabilities, companies can quickly differentiate their customer service quality by being more pro active and responsive to customer needs. Simply put, chatbots and virtual agents are the future of customer interactions. Building apps from scratch that incorporate natural language processing, speech to text recognition, visual recognition, analytics, and artificial intelligence requires broad expertise in these disciplines, large staffs, and a huge financial commitment. Making use of IBM Watson cognitive services brings these capabilities in-house quickly and without the capital investment that would be needed to develop the technologies within an organization.
Tags : decision making, deeper data, insights, cognitive, analytics, ibm, watson, virtual agents
     IBM APAC
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