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        Analyst Perspectives

        Organizations today create and collect data at ever faster rates, and this introduces challenges in ensuring that data is not just managed but used in a consistent manner for a range of operational and analytic tasks. This is made more difficult by new data sources whose definitions vary from standard and widely used formats. Making all information available and consistent is essential to support business processes and decision-making. A key technology tool for this effort is master data...

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        Topics: Big Data, Data Quality, Master Data Management, Sales, Sales Performance, Social Media, Supply Chain Performance, Golden Records., MDM, Operational Performance, Analytics, Business Analytics, Business Performance, Cloud Computing, Customer & Contact Center, Data Management, Financial Performance, Information Applications, Information Management, Workforce Performance

        When Salesforce.com began in 1999 its stated intent was “to reinvent CRM in the cloud.” In 15 years, the company has achieved much more than that, having a major impact on the way IT systems are delivered: Large numbers of vendors have followed its example to provide cloud-based systems. It added a platform as a cloud – a software development environment in the cloud – to its portfolio, introduced an apps store where many vendors sell their products and services, moved into social and mobile...

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        Topics: Big Data, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Self-service, Operational Performance, Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        Big data has great promise for many organizations today, but they also need technology to facilitate integration of various data stores, as I recently pointed out. Our big data integration benchmark research makes it clear that organizations are aware of the need to integrate big data, but most have yet to address it: In this area our Performance Index analysis, which assesses competency and maturity of organizations, concludes that only 13 percent reach the highest of four levels, Innovative....

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        Topics: Big Data, Operational Performance, Business Analytics, Business Intelligence, Business Performance, CIO, Cloud Computing, Data Integration, Information Applications, Information Management, Strata+Hadoop

        During this year talk has been widespread about the customer experience, which is good. What is not so good is that, according to my benchmark research into next-generation customer engagement, most companies still struggle to deliver satisfying experiences. However, the research and my discussions with users and vendors lead to some clear conclusions:

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        Topics: Big Data, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Self-service, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        To help companies improve the efficiency and effectiveness of their payroll management processes, we have assembled our 2015 Value Index for Payroll Management. It evaluates vendors of payroll management software to provide a guide for selecting the right application to suit specific needs. The executive summary is available for download, and this analysis provides a snapshot of the findings. Ventana Research defines payroll management as all activities associated with paying employees...

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        Topics: Human Capital Management, Office of Finance, Uncategorized, HR, HRMS, Talent Management

        The Ventana Research Value Index for Workforce Optimization in 2015 is now released. Workforce optimization covers all aspects of managing everyone who handles customer interactions and is thus vital to improve operational efficiency, and customer and employee satisfaction. It includes the following applications: interaction capture, quality monitoring and assurance, workforce management, coaching and learning management, variable compensation management, and interaction and agent analytics....

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        Topics: Big Data, Customer Analytics, Customer Experience, Speech Analytics, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, Text Analytics

        Interactive Intelligence is a well-established supplier of contact center systems and just celebrated its 20th anniversary. Customer Interaction Center (CIC) is its on-premises product, which provides integrated management of multiple communication channels and supports a high degree of customization. Communications as a Service (CaaS) is a virtual private cloud (for single tenants) version of CIC and as such offers less potential for customization. Recently Interactive Intelligence released ...

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        Topics: Big Data, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Self-service, Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        Those of us who have been in the technology industry for many years remember the phrase “No one ever got fired for buying IBM.” Then IBM was both a hardware and a system software vendor, and most IT managers new that hardly anyone would question a decision to go with IBM. These days IBM has done extensive marketing to make itself known for everything “smart” – planets, cities, commerce and of course technology. While its website suggests it offers a limited number of software products, in fact...

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        Topics: Big Data, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Self-service, Analytics, Business Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        A company’s enterprise resource planning (ERP) system is one of the pillars of its record-keeping and process management architecture and is central to many of its critical functions. It is the heart of its accounting and financial record-keeping processes. In manufacturing and distribution, ERP manages inventory and some elements of logistics. Companies also may use it to handle core human resources record-keeping and to store product and customer master data. Often, companies bolt other...

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        Topics: Sales Performance, Supply Chain Performance, ERP, Office of Finance, Operational Performance, Analytics, Business Performance, CIO, Customer & Contact Center, Financial Performance, Workforce Performance, CFO, Data, HR

        SYSPRO is a 35-year-old ERP vendor that focuses on products for midsize companies, particularly those in manufacturing and distribution. In manufacturing, SYSPRO supports make, configure and assemble, engineer to order, make to stock and job shop environments. The company attempts to differentiate itself through vertical specialization and its years of ongoing development, which can reduce the need for customization and cut the cost of initial and ongoing configuration to suit the needs of...

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        Topics: Performance Management, Supply Chain Performance, ERP, Human Capital Management, Office of Finance, Reporting, cloud ERP, container, Operational Performance, Analytics, Business Analytics, Business Performance, Cloud Computing, Collaboration, Dashboards, Financial Performance, Supply Chain, SCM, S&OP, Digital Technology
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        Our Analyst Perspective Policy

        • Ventana Research’s Analyst Perspectives are fact-based analysis and guidance on business, industry and technology vendor trends. Each Analyst Perspective presents the view of the analyst who is an established subject matter expert on new developments, business and technology trends, findings from our research, or best practice insights.

          Each is prepared and reviewed in accordance with Ventana Research’s strict standards for accuracy and objectivity and reviewed to ensure it delivers reliable and actionable insights. It is reviewed and edited by research management and is approved by the Chief Research Officer; no individual or organization outside of Ventana Research reviews any Analyst Perspective before it is published. If you have any issue with an Analyst Perspective, please email them to ChiefResearchOfficer@ventanaresearch.com

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