Ventana Research Analyst Perspectives

2020 Reporting: Improving Visibility, Transparency and Perspective

Posted by Robert Kugel on Jun 26, 2020 6:00:00 AM

FP&A and business analysts can make reporting more effective by reimagining how, what and when their company does its reporting. They should provide the users of their reports the information they want in a form they want it. They should be thinking about how they can make reporting more effective by rethinking how data is presented, how interactive it is, and what visualizations are used. Rethinking how to combine narratives, data, charts and graphics to everyday communications. How to add audio and video where it’s appropriate. Reimagine reporting to make it a more effective form of communications designed to improve a company’s performance.

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Topics: FP&A, Office of Finance, CFO, Financial Performance Management, financial reporting, financial standards, tax planning

Self-Describing Data Powers B2B Blockchain Distributed Ledgers

Posted by Robert Kugel on Feb 15, 2018 7:22:37 AM

The use of blockchain distributed ledgers in business processes is now a common theme in many business software vendors’ presentations. The technology has a multitude of potential uses. However, presentations about the opportunities for digital transformation always leave me wondering: How is this magic going to happen? I wonder this because the details about how data flows from point A to point B via a blockchain are critically important to blockchain utility and therefore the pace of its adoption.

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Topics: Planning, Predictive Analytics, Forecast, FP&A, Machine Learning, Reporting, budget, Budgeting, Continuous Planning, Analytics, Data Management, Cognitive Computing, Integrated Business Planning, AI, forecasting, consolidating

Predictive Finance Organizations Are More Valuable

Posted by Robert Kugel on Feb 12, 2018 4:31:44 AM

Ventana Research uses the term “predictive finance” to describe a forward-looking, action-oriented finance organization that places emphasis on advising its company rather than fulfilling the traditional roles of a transactions processor and reporter. Technology is driving the shift away from the traditional bean-counting role. The cumulative evolution of software advances will substantially reduce finance and accounting workloads by automating most of the mechanical, rote functions in accounting, data preparation and reporting. (I recently summarized these in a “Robotic Finance”)

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Topics: Planning, Predictive Analytics, Forecast, FP&A, Machine Learning, Reporting, budget, Budgeting, Continuous Planning, Analytics, Data Management, Cognitive Computing, Integrated Business Planning, AI

Financial Performance Management Software Vendors Face Challenges

Posted by Robert Kugel on Jan 13, 2017 12:05:24 AM

Ventana Research defines financial performance management (FPM) as the process of addressing often overlapping issues involving people, process, information and technology that affect how well finance organizations operate and support the activities of the rest of their organization. FPM software supports and automates the full cycle of finance department activities, which include planning and budgeting, analysis, assessment and review, closing and consolidation, internal financial reporting and external financial reporting, as well as the underlying information technology systems that support them.

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Topics: Performance Management, ERP, FP&A, Human Capital Management, Office of Finance, Consolidation, Financial Performance Management, FPM

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, 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)