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        Analyst Perspectives

        IBM held its 20th annual IBM Connect conference (previously known as Lotusphere) as part of its IBM Social Business efforts at the end of January. The conference focuses on business and social collaboration technology, which our business technology innovation research found to be the second-ranked priority for business innovation. At the conference IBM made a series of significant announcements, including a new version of its social collaboration suite, IBM Connections, and the ability to use...

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        Topics: Sales Performance, Social Media, Supply Chain Performance, Human Capital Management, Kenexa, Learning, Performance, Recruiting, Smarter Analytics, Smarter Workforce, Social Business, Social Collaboration, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, IBM, Workforce Performance, Compensation

        The proper use of technology enables businesses to be more efficient. Our recent research into technology for business innovation found that 56 percent indicate innovative technology is very important, yet only 9 percent are very satisfied with theirs, showing plenty of room for improvement. As we enter 2013, businesses have more choices than ever for technology to improve business and IT. Our firm has identified six key technologies that give organizations significant competitive advantages:...

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        Topics: Big Data, Sales Performance, Social Media, Supply Chain Performance, Mobile Technology, Social Collaboration, IT Performance, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, CMO, COO, CTO

        Banking giant JP Morgan raised eyebrows in 2012 when it revealed that it had lost a substantial amount of money because of poorly conceived trades it had made for its own account. The losses raised questions about the adequacy of its internal controls, and broader questions about the need for regulations to reduce systemic risk to the banking system. At the heart of the matter were the transactions made by “the London Whale,” the name given to a JP Morgan’s trading operation in the City by its...

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        Topics: Sales, Sales Performance, GRC, Office of Finance, error, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Financial Performance, Information Management, Data, controls

        Actuate this week announced BIRT Analytics, and thereby puts itself firmly into supporting a range of business analytics needs from data discovery and visualization to a range of data mining and predictive capabilities that allows itself new avenues of growth. Actuate has long been a staple of large Business Intelligence deployments; in fact the company claims that ActuateOne delivers more insights to more people than all other BI applications combined. This is likely true, given that Actuate...

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        Topics: Data Scientist, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, CIO, Financial Performance, Information Applications, Operational Intelligence, Data Discovery, commodity model, Quinterian

        Recently Verint announced a new development in its workforce optimization suite Impact 360 Workforce Optimization that it calls Personalized Guidance. It aims to improve the customer experience by prompting anyone handling customer interactions with what they should do next. The principle is simple and logical: Analyze all the data you can so you understand the customer and context of the interaction, identify best next action, and prompt the person handling the interaction with this action so...

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        Topics: Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Verint, Workforce Force Optimization

        SAP just released strong preliminary quarterly and annual revenue growth, which in many ways can be attributed to a strong strategic vision around the HANA in-memory platform and strong execution throughout the organization. Akin to flying an airplane while simultaneously fixing it, SAP’s bold move to HANA may at some point see the company continuing to fly when other companies are forced to ground parts of their fleets.

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        Topics: Sales, Sales Performance, SAP, Supply Chain Performance, Business Objects, Business Objects predictive analytics, Crystal reports, Operational Performance, Visi, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, IBM, Operational Intelligence, Workforce Performance, cognos insight, SAP predictive analytics, Sybase IQ

        My recent benchmark into the unified customer service agent desktop shows how critical the agent desktop is to improving agent satisfaction, meeting key customer-related metrics and enhancing the customer experience. The typical agent desktop contains multiple systems that allow agents access to multiple communication channels, business applications, messages and performance dashboards. The result is that the desktop is cluttered with systems, frustrating agents, driving up average interaction...

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        Topics: Sales Performance, Customer Experience, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Cisco, Contact Center, CRM, Upstream Works, Workforce Force Optimization

        Managing the access, storage and use of data effectively can provide businesses a competitive advantage. Last year I outlined what the big deal is in big data, as the initial focus on the volume, velocity and variety of data – what my colleague Tony Cosentino calls the three V’s – is only one small piece of how organizations should evaluate this technology. The more balanced approach is to include what he calls the three W’s – the what, so what and now what, which shifts the focus to an...

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        Topics: Big Data, Master Data Management, Predictive Analytics, Sales Performance, MDM, Operational Performance, Business Analytics, Business Intelligence, Business Performance, CIO, Cloud Computing, Data Governance, Data Integration, Financial Performance, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Product Information Management

        My research into the customer service agent desktop shows that most centers expect a lot of their contact center agents: more than half (59%) handle between two and five different services (such as general queries, complaints and sales) and 14 percent handle seven or more. Nearly half (49%) are expected to handle between six and 15 calls per hour, and as well as calls, the majority (75%) are expected to handle other forms of interactions, with most handling between one and five per hour. To...

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        Topics: Sales Performance, Social Media, Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

        Did you catch all the big data analogies people used in 2012? There were many, like the refinement of oil analogy, or the spinning straw into gold analogy, and less useful but more entertaining ones, like big data is like a box of chocolates, or big data is like The Matrix (because “there’s no way Keanu Reeves learns Kung Fu in five seconds without using big data”). I tend to like the water analogy, which I’ll use here to have a little fun and to briefly describe how I see the business...

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        Topics: Big Data, Sales Performance, Social Media, Supply Chain Performance, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, Data
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        • 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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