Our expertise is rooted in our unique, industry-leading research in the field of Order-to-Cash. This knowledge can enable your organization to enhance customer satisfaction, boost department productivity and accelerate cash clow. Use our practical insights for a comprehensive assessment and improvement of your Order-to-Cash digital transformation initiatives.
Using our research, best practices and expertise, we help you understand how to optimize your business processes using applications, information and technology. We provide advisory, education, and assessment services to rapidly identify and prioritize areas for improvement and perform vendor selection
We provide guidance using our market research and expertise to significantly improve your marketing, sales and product efforts. We offer a portfolio of advisory, research, thought leadership and digital education services to help optimize market strategy, planning and execution.
Services for Technology Vendors
We provide guidance using our market research and expertise to significantly improve your marketing, sales and product efforts. We offer a portfolio of advisory, research, thought leadership and digital education services to help optimize market strategy, planning and execution.
Order-to-Cash
How we can help
Consulting
Consulting where we deliver expert guidance with our experience, expertise and market research through workshops and assessments for better business outcomes.
Advisory
Advisory through our proactive and informed expert advice and insights for optimization of decisions through our Ventana On-Demand service designed for value every month of the year.
Research
Research enables insights from our industry analyst team and market research with our Benchmark Research, Dynamic Insights and Value Index research products that provide facts for decisions.
Education
Education in a range of business, technology and vertical industry topics through our publishing of digital content in mediums and styles for impactful insights across an entire organization.
Some of our Latest Research
You Can’t Spell ERP Without AI
Analyst Perspective
The reason why artificial intelligence (AI) has been the focus of endless keynote speeches, product roadmap announcements by ERP providers and development efforts across all categories of business software is that AI-embedded systems promise (and will ultimately deliver) software that more closely molds its operation to the needs of a specific enterprise and individual user. The technology is making business software more powerful and easier to use. This is a major breakthrough after decades of enterprises and individuals having to adapt to the limitations of the systems.
Tokenizing Working Capital to Improve Performance and Efficiency
Analyst Perspective
Tokenization is an emerging topic for business software providers. Tokenization is the process of representing something valuable or complex with a simple computer-readable substitute to enhance security or improve the efficiency and usability of a system. Tokens are already widely used in commerce. It’s now common for sensitive data used in a transaction, such as a bank account number or credit card information, to be tokenized. However, there are use cases for tokenization of other transaction-related documentation, including invoices, sales orders and sales contracts to make these more useful in AI-embedded business software such as ERP systems.
NetSuite Next: Productivity by a Thousand Cuts with AI
Analyst Perspective
Oracle NetSuite’s presentations and announcements at its recent user group meeting, SuiteWorld, focused on an initiative called NetSuite Next, a set of artificial intelligence (AI), generative AI (GenAI) and agentic AI capabilities that will be an inherent part of the NetSuite suite of applications starting in 2026. The company’s objective is to facilitate customers’ transition to this AI-centric environment, giving the option to adopt it immediately or defer to a scheduled implementation. The intention is to give customers a relatively simple path to an environment that offers an expanding set of embedded AI features and capabilities. As usual, the caveat, “the devil is in the details,” applies, since there will be many factors determining how fast and how easy the transition will be for each customer.
Data Is the Structural Steel of Finance Departments
Analyst Perspective
There's a saying among military historians that amateurs debate strategy while professionals talk about logistics. In a similar vein, those rooted deeply in the workings of information technology (IT) pay close attention to data because it is fundamental to the proficiency and effectiveness of any IT system. Visionaries speak of data being the oil or gold of the information economy; practitioners recognize that it is the structural steel. Potentially, one of the unexpected benefits of the artificial intelligence (AI) revolution may be the ability and willingness to address the decades-long problems of data quality and availability. More powerful data management tools and the motivation to invest in and use them are likely to significantly reduce (but by no means eliminate) these issues. This, as much as the power of AI—in all its forms—to streamline and even automate business process execution, will lead to a step-function increase in the productivity of the Office of Finance.
Use AI and Technology to Optimize Working Capital
Analyst Perspective
Working capital includes current assets (short-term items such as cash, money due from customers and inventory) and current liabilities (typically payments due to suppliers and loan amounts that must be repaid within one year). Working capital management is a prime function of the finance organization, designed to balance often-conflicting objectives related to revenue, liquidity, risk and profitability. Working capital is largely the confluence of how order-to-cash (O2C) and procure-to-pay (P2P) are executed. The basics of working capital management were established at the dawn of commerce, but today’s technology can enable finance organizations to handle these basic management tasks more efficiently and effectively than ever.
Successful AI Adoption: Change Management is Essential
Analyst Perspective
Organizational change management is the discipline and process of guiding individuals, teams and organizations to a desired future structure. This is frequently an issue when implementing new technology designed to enable new strategies or business models. It is often a challenge because of human resistance to change, which is driven by a desire for stability, fear of personal consequences and the possible loss of control or power, among other factors. Executives can compound the issue through poor communication about the purpose of the change, leading to confusion and doubt, especially if trust in their ability or the ability of the enterprise to be successful in transformation is limited. Without competent leadership, it is always difficult for organizations with deep-rooted cultural norms to overcome resistance. Especially with technology, the buying process often underestimates the people side of the equation, focusing too much on systems and “speeds and feeds” requirements. ISG has a consulting practice that focuses on helping executives deal with change management. Here, I’m focusing on what software providers can do to accelerate adoption of artificial intelligence (AI) and agents in support of change management efforts.
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