Ventana Research uses the term “data pantry” to describe a method of data storage (and the technology and process blueprint for its construction) created for a specific set of users and use cases in business-focused software. It’s a pantry because all the data one needs is readily available and easily accessible, with labels that are immediately recognized and understood by the users of the application. In tech speak, this means the semantic layer is optimized for the intended audience. It is...
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Topics:
Continuous Planning,
Business Intelligence,
Data Management,
Business Planning,
Data,
Financial Performance Management,
Enterprise Resource Planning,
continuous supply chain,
data operations,
digital finance,
profitability management,
Analytics & Data,
Streaming Data & Events,
AI and Machine Learning
In the face of a very uncertain future, companies have been discovering the value of rapid planning and budgeting cycles. As events unfold, they’re changing expectations for the future significantly on a daily or weekly basis. However, even when the world returns to a steadier state, companies will benefit from making their planning and budgeting processes faster, easier, more relevant, more strategic, more agile and more accurate.
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Topics:
Office of Finance,
IBP,
Business Planning,
CFO,
Integrated Business Planning
Vena Solutions offers organizations a platform for financial planning, analysis and reporting as well as software to manage accounting consolidation and close processes. From the start, Vena has designed its applications to meet the needs of midsize organizations, which typically have the same requirements as large enterprises but with significantly fewer resources to acquire, manage and maintain technology. Ventana Research named Vena a Value Index Leader in Adaptability and a Vendor of Merit...
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Topics:
Office of Finance,
Business Planning,
Financial Performance Management,
digital finance
The starting point of an era is never precise and rarely conforms to neat calendar delineations. For example, the start of the 20th century is associated with the outbreak of war in 1914. So I expect that decades from now, the consensus will hold that what became known as the 21st century began in the year 2020, with the pandemic serving as a catalyst that accelerated already existing trends and forced changes to prevailing norms and practices. This and other disruptive events that have...
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Topics:
Office of Finance,
Business Intelligence,
Business Planning,
Financial Performance Management,
digital finance,
profitability management,
operational data platforms,
AI and Machine Learning
IBM Planning Analytics with Watson is a comprehensive, cloud-based business planning application that supports what Ventana Research calls integrated business planning. We coined this term in 2007 to describe a high-participation approach to business planning that integrates strategy, operations and finance. Our Next Generation Business Planning Benchmark Research demonstrated the value of IBP: Organizations that link planning processes get better results. Sixty-six percent of organizations...
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Topics:
Predictive Analytics,
Office of Finance,
embedded analytics,
Business Intelligence,
Business Planning,
Financial Performance Management,
Watson,
Digital transformation,
digital finance,
profitability management,
AI and Machine Learning
The door opened to a new world in 2020, one that renders old assumptions suspect and future outcomes more varied and uncertain. It’s likely that the transition to what’s next will be bumpy, which makes planning more effectively that much more strategic.
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Topics:
Office of Finance,
Business Planning,
Financial Performance Management,
digital finance
Prophix offers cloud financial software for planning, budgeting, reporting and statutory financial consolidation designed to meet the requirements of midsize organizations and divisions of larger corporations. The company was one of the first to offer a planning platform capable of bringing together a company’s diverse planning processes and financial planning and budgeting. Its consolidation and close automation enable a shorter close and improved accounting staff productivity for midsize...
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Topics:
Office of Finance,
Business Planning,
Financial Performance Management,
ERP and Continuous Accounting,
digital finance
It’s likely that finance analytics trace back to when people first began to record transactions on clay tablets. Financial analytics were given a boost with the codification of double-entry bookkeeping, an elegant system for recording transactions that facilitate the assessment of the performance and health of an organization. Further advances were achieved with the first mechanical – and then digital system – for automating computations, while personal computing devices made the numbers...
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Topics:
Office of Finance,
Business Planning,
Financial Performance Management,
digital finance
Planful recently acquired Plannuh, a marketing-performance management application, to integrate into the Planful platform so that organizations can connect their marketing planning and analysis group with the finance department. There’s the old story of a CEO who said, “I know half my marketing spend is wasted, I just don’t know which half.” Plannuh is designed to answer that question.
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Topics:
Marketing Performance Management,
Office of Finance,
Business Planning,
Financial Performance Management,
intelligent marketing,
digital finance
A predictive finance department is one that can command technology to be more forward-looking and action-oriented while still fulfilling its core role of handling the financial elements of its organization including accounting, treasury and corporate finance. Beyond just automating rote tasks, technology also facilitates a shift toward becoming a predictive finance organization. Greater amounts of information, now available in near real time, and the increasing use of artificial intelligence...
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Topics:
Office of Finance,
Business Intelligence,
Data Management,
Business Planning,
Financial Performance Management,
ERP and Continuous Accounting,
digital finance,
AI and Machine Learning