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        Analyst Perspectives

        The business intelligence market is bounded on one side by big data and on the other side by data preparation. That is, to maximize their performance in using information, organizations have to collect and analyze ever increasing volumes of data while the tools available are constantly evolving in the big data ecosystem that I have written about. In our benchmark research on big data analytics, half (51%) of organizations said they want to access big data using their existing BI tools. At the...

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        Topics: Big Data, Analytics, Business Intelligence, Collaboration, Data Integration, Data Preparation, Information Management, Internet of Things

        Price and revenue optimization (PRO) is a business discipline used to produce demand-based pricing; it applies market segmentation techniques to achieve strategic objectives such as increased profitability or greater market share. In essence, PRO enables companies to surf the demand curve using dynamic rather than fixed pricing to achieve the most desirable trade-offs between revenue volume and profit margins. The trade-off is defined by strategic factors such as the company’s market position,...

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        Topics: Big Data, Data Science, Sales, Office of Finance, Analytics, Cloud Computing, Sales Performance Management, Financial Performance Management, Price and Revenue Management

        The big data market continues to evolve, as I have written previously. Vendors are attempting to differentiate their offerings as they seek to encourage customers to pay for technology that they could potentially download for free.

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        Topics: Big Data, Analytics, Business Intelligence, Internet of Things, Information Optimization

        IBM recently held its inaugural World of Watson event. Formerly known as IBM Insight, and prior to that IBM Information on Demand, the annual event, attended by 17,000 people this year, showcases IBM’s data and analytics and the broader IBM efforts in cognitive computing. The theme for the event, as you might guess, was the Watson family of cognitive computing products. I, for one, was glad to spend more time getting to know the Watson product line, and I’d like to share some of my observations...

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        Topics: Big Data, Data Science, Machine Learning, Analytics, Cloud Computing, Data Governance, Data Integration, Internet of Things, Information Optimization, Machine Learning and Cognitive Computing

        Ventana Research recently awarded Workday a 2016 Technology Innovation Award for its newly released application, Workday Planning, because it simplifies and streamlines the budgeting and planning processes while facilitating collaboration, deepening visibility into spending and enabling tight fiscal control. These capabilities can help a variety of user organizations in several ways.

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        Topics: Big Data, Marketing, Office of Finance, Budgeting, Controller, In-memory, CFO, Workday, demand management, Financial Performance Management, financial reporting, FPM, Integrated Business Planning

        SYSPRO is a 35-year-old software vendor that focuses on selling enterprise resource planning (ERP) systems to 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...

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        Topics: Big Data, SaaS, ERP, Governance, Human Capital Management, Office of Finance, close, Continuous Accounting, Analytics, CIO, Cloud Computing, Collaboration, CFO, CRM, CEO

        I recently spent time at Strata+Hadoop World 2016 in New York. I attended this event and its predecessor, Hadoop World, off and on for the past six years. This one in New York had a different feel from previous events including the most recent event in San Jose at the end of March. Perhaps because of its location in one of the financial and commercial hubs of the world, the event had much more of a business orientation. But it’s not just location. Past events have been held in New York also,...

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        Topics: Big Data, Predictive Analytics, Strata+Hadoop

        I recently attended Oracle OpenWorld for the first time in several years. The message at this year’s event was clear: Oracle is all in on the cloud. I had heard the message, but I didn’t get the full impact until I arrived at the Moscone Center in San Francisco. All signage at the event contained the word “cloud,” and Oracle issued 18 press releases in conjunction with OpenWorld related to cloud computing. I also found out that Oracle has its own definition of “cloud.”

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        Topics: Big Data, Office of Finance, Analytics, Business Intelligence, Cloud Computing

        The annual Oracle OpenWorld user group meeting provides an opportunity to step back and take a longer view of business, industry and technology trends affecting the company. Last year, after listening to Larry Ellison’s and Mark Hurd’s vision for the future of IT, I wrote that Oracle had to continue shifting its focus to business applications because the accelerating shift to cloud computing would lead corporations to outsource their IT infrastructures, services and security to third parties....

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        Topics: Big Data, Performance Management, SaaS, ERP, Office of Finance, Analytics, Cloud Computing, PaaS, Digital Technology

        I recently attended Oracle OpenWorld for the first time in several years. The message at this year’s event was clear: Oracle is all in on the cloud. I had heard the message, but I didn’t get the full impact until I arrived at the Moscone Center in San Francisco. All signage at the event contained the word “cloud,” and Oracle issued 18 press releases in conjunction with OpenWorld related to cloud computing. I also found out that Oracle has its own definition of “cloud.”

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        Topics: Big Data, Predictive Analytics, Business Analytics, Business Intelligence, Cloud Computing, Information Management
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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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