Ventana Research Analyst Perspectives

The Office of Finance Research Agenda for 2017

Posted by Robert Kugel on Feb 16, 2017 6:33:20 AM

Senior finance executives and finance organizations that want to improve their performance must recognize the value of technology as a key tool for doing high-quality work. Consider how poorly your organization would perform if it had to operate using 25-year-old software and hardware. Having the latest technology isn’t always necessary, but it’s important for executives to understand that technology shapes a finance organization’s ability to improve its overall effectiveness.

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Topics: Big Data, data science, Mobile, Mobile Technology, Office of Finance, cloud computing, Continuous Planning, revenue recognition, Business Intelligence, Collaboration, analytics, Financial Performance Management, recurring revenue, Price and Revenue Management, Inventory Optimization, Billing and Recurring Revenue, Operations & Supply Chain, Enterprise Resource Planning, Sales and Operations Planning, Machine Learning and Cognitive Computing, ERP and Continuous Accounting, Collaboration for Business

Vertex Enterprise Addresses Today’s Tax Challenges

Posted by Robert Kugel on Feb 7, 2017 12:15:01 AM

I’ve long advocated the use of effective technology in the tax function, especially for organizations that operate in multiple jurisdictions or have complex legal structures manage direct tax provision and analysis using outdated or inappropriate tools. Our Office of Finance benchmark research reveals that most organizations use spreadsheets to manage their tax provision and analysis: Half (52%) rely solely on spreadsheets, and another 38 percent mainly use them. I recommend to corporations that operate in multiple countries and that have even a moderately complex legal entity structure that they consider establishing what I call a tax data warehouse of record.

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Topics: Big Data, Office of Finance, Continuous Planning, analytics, Financial Performance Management, ERP and Continuous Accounting

B2B Price and Revenue Optimization Goes Mainstream

Posted by Robert Kugel on Jan 24, 2017 12:16:47 AM

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, product and service portfolio, and marketing strategy.

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Topics: Big Data, data science, Office of Finance, cloud computing, Sales Performance Management, analytics, Financial Performance Management, sales, Price and Revenue Management

Oracle Plus NetSuite Equals More

Posted by Robert Kugel on Dec 16, 2016 11:17:22 PM

Oracle and NetSuite have completed their merger. The combination is likely to be positive for customers because NetSuite will have access to “more,” a word repeated many times over the course of Oracle’s post-acquisition webcast. Existing NetSuite customers will benefit from increased investment as well as economies of scale that Oracle can bring to R&D and sales and marketing. Oracle has stated that there’s little overlap between its target customer base and NetSuite’s. However, there is substantial overlap with NetSuite’s application partner network because of Oracle’s own broad application portfolio. As such, many of these partners are likely to shift their attention to NetSuite’s cloud-only competitors (for example, FinancialForce and Intacct), which will benefit those rivals’ sales and marketing efforts.

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Topics: Sales, Customer Experience, Human Capital Management, Marketing, Office of Finance, Continuous Planning, revenue recognition, Customer Service, HRMS, recurring revenue, Price and Revenue Management, Billing and Recurring Revenue, Work and Resource Management, Digital Commerce, Operations & Supply Chain, Enterprise Resource Planning, Sales and Operations Planning

Cryptic Data: Challenges and Rewards in Finding and Using It

Posted by Robert Kugel on Feb 18, 2016 7:10:21 PM

Using information technology to make data useful is as old as the Information Age. The difference today is that the volume and variety of  available data has grown enormously. Big data gets almost all of the attention, but there’s also cryptic data. Both are difficult to harness using basic tools and require new technology to help organizations glean actionable information from the large and chaotic mass of data. “Big data” refers to extremely large data sets that may be analyzed computationally to reveal patterns, trends and associations, especially those related to human behavior and interaction. The challenges in dealing with big data include having the computational power that can scale to the processing requirements for the volumes involved; analytical tools to work with the large data sets; and governance necessary to manage the large data sets to ensure that the results of the analysis are accurate and meaningful. But that’s not all organizations have to deal with now. I’ve coined the term “cryptic data” to focus on a different, less well known sort of data challenge that many companies and individuals face.

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Topics: Big Data, data science, Planning, Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, forecasting, FP&A, Human Capital, Marketing, Office of Finance, Operational Performance Management (OPM), Budgeting, Connotate, cryptic, equity research, Finance Analytics, Kofax, Statistics, Operational Performance, Analytics, Business Analytics, Business Performance, Financial Performance, Business Performance Management (BPM), Datawatch, Financial Performance Management (FPM), Kapow, Sales Performance Management (SPM), import.io