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Ventana Research recently announced its 2021 market agenda in the expertise area of Customer Experience. Most organizations have some degree of focus on managing how they interact with their customers, but it is often a disjointed and constrained process. Developing an effective customer experience has become an investment priority in recent years as organizations increasingly recognize the...

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Topics: Sales, Customer Experience, Marketing, Voice of the Customer, Analytics, Customer Service, Contact Center, Workforce Management, Digital Marketing, Digital Commerce, agent management, AI and Machine Learning


Ventana Research recently announced its 2021 market agenda for Analytics, continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value from technology investments to improve business outcomes.

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Topics: embedded analytics, Analytics, Business Intelligence, natural language processing, Process Mining, Streaming Analytics, AI and Machine Learning


Profitability management produces a sustainable competitive advantage but by 2025 only one-third of companies will have implemented a profitability management initiative, explains Ventana Research SVP and Research Director Robert Kugel. This brief video shows why FP&A organizations must be part of a profitability management approach to pricing and costing.

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Topics: FP&A, Office of Finance, Sales Operations, CFO, Profitability, Price and Revenue Management


Ventana Research has announced its market agenda for 2021, continuing the tradition of transparency in our efforts to educate and guide the technology market but also our independence as we do not share our market agenda or analyst perspectives with any external party. Each year, we proudly formulate our market agenda that is not biased by clients or the technology industry, focusing on education...

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Topics: Customer Experience, Human Capital Management, Marketing, Office of Finance, Analytics, Data, Digital Technology, Operations & Supply Chain, Office of Revenue


The post-pandemic world will see much returned to normal, but there will also be change. For businesses that faced shutdowns, these changes will include higher taxes to pay for the costs of mitigating the economic impact, and the loss of tax revenue. In addition to imposing higher tax rates, some governments will strive to raise revenue by accelerating their adoption of digital technologies to...

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Topics: Office of Finance, Financial Performance Management, ERP and Continuous Accounting, Revenue, robotic finance, lease and tax accounting


The industry is making huge strides with artificial intelligence (AI) and machine learning (ML). There is more data available to analyze. Analytics vendors have made it easier to build and deploy models, and AI/ML is being embedded into many types of applications. Organizations are realizing the value that AI/ML provides and there are now millions of professionals with AI or ML in their title or...

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Topics: Sales, Customer Experience, Marketing, Analytics, Business Intelligence, Data Preparation, Digital Technology, AI and Machine Learning


BlackLine recently held its first virtual user conference, Beyond the Black, where it detailed numerous additions and enhancements to its applications. Of note was the launch of BlackLine Cash Application, an accounts receivable (AR) processing software based on software originally developed by recently acquired Rimilia. The new application fits the company's product strategy of providing...

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Topics: Office of Finance, Business Planning, Financial Performance Management, ERP and Continuous Accounting, AI and Machine Learning


In the context of planning, budgeting and benchmarking, external data includes information about the world outside an organization such as economic and market statistics, competitors and customers. Today, a comprehensive set of external data is a “nice to have” item in most organizations, but that’s likely to change. External data is necessary for useful and accurate business-focused planning and...

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Topics: Information Management, Business Planning, Financial Performance Management, Predictive Planning, AI and Machine Learning


The contact center has long represented the starting point for customer experience initiatives. Now, however, most organizations are finding that they need to invest beyond this singular point of engagement. When organizations look at customer experience holistically, they see the need to incorporate the perspectives of people in other departments and channels of customer engagement. These...

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Topics: Sales, Customer Experience, Marketing, Contact Center


Data is becoming more valuable and more important to organizations. At the same time, organizations have become more disciplined about the data on which they rely to ensure it is robust, accurate and governed properly. Without data integrity, organizations cannot trust the information produced by their data processes, and will be discouraged from using that data, resulting in inefficiencies and...

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Topics: business intelligence, Analytics, Data Governance, Data Preparation, Information Management, Data, data lakes


Organizations are dealing with exponentially increasing data that ranges broadly from customer-generated information, financial transactions, edge-generated data and even operational IT server logs. A combination of complex data lake and data warehouse capabilities are required to leverage this data. Our research shows that nearly three-quarters of organizations deploy both data lakes and data...

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Topics: PROS Pricing, embedded analytics, Analytics, Business Intelligence, Collaboration, Data Governance, Data Preparation, Information Management, Data, data lakes, AI and Machine Learning


Businesses are transforming their organizations, building a data culture and deploying sophisticated analytics more broadly than ever. However, the process of using data and analytics is not always easy. The necessary tools are often separate, but our research shows organizations prefer an integrated environment. In our Data Preparation Benchmark Research, we found that 41% of participants use...

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Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Data Preparation, Information Management, Internet of Things, Data, Digital Technology, natural language processing, Conversational Computing, AI and Machine Learning


Traditional on-premises data processing solutions have led to a hugely complex and expensive set of data silos where IT spends more time managing the infrastructure than extracting value from the data. Big data architectures have attempted to solve the problem with large pools of cost-effective storage, but in doing so have often created on-premises management and administration challenges. These...

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Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Data Governance, Data Preparation, Data, data lakes, AI and Machine Learning


Organizations are always looking to improve their ability to use data and AI to gain meaningful and actionable insights into their operations, services and customer needs. But unlocking value from data requires multiple analytics workloads, data science tools and machine learning algorithms to run against the same diverse data sets. Organizations still struggle with limited data visibility and...

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Topics: business intelligence, embedded analytics, Analytics, Collaboration, Data Governance, Data Preparation, Data, Information Management (IM), data lakes, AI and Machine Learning


True leadership is the ability to motivate sales organizations to perform at their best. But the demand to do so requires the support of an orchestrated process and tools designed to help sales teams work in a directed manner that can help attain quotas through compensation plans. To manage quotas and resources and optimize sales compensation, everyone in the sales organization, from managers to...

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Topics: Sales, Sales Performance Management, intelligent sales, sales enablement


People analytics is a specific focus in Human Capital Management (HCM) that enables organizations to have data-driven insights that optimize the impact and value of the workforce. These analytics are essential for addressing a broad scope of HCM objectives, but while reducing compliance risks and highlighting demographic trends have dominated the people analytics landscape for decades, various...

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Topics: Predictive Analytics, Workforce Analytics, HR Analytics


The pandemic has raised the stakes for self-service in every part of the customer journey. In 2020, the customer service industry underwent a shock to its collective system by pulling up stakes and moving agents to remote work. At the same time, consumers moved away from in-person interactions in stores and branches. This systemic disruption has led to longer call wait times and tougher...

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Topics: Customer Experience, Contact Center, Digital Technology, natural language processing, Conversational Computing, agent management, AI and Machine Learning


Augmented reality (AR) is a critical component of digital technology. The role of AR is to virtualize the visualization and engagement of assets and products with information that can enhance the value of it for many purposes including manufacturing, marketing, sales and service. Consider how manufacturing and field service organizations are starting to use AR technology for hands-free call-up of...

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Topics: Sales, Business Continuity, Internet of Things, Business Planning, Digital Technology, Operations & Supply Chain, Digital transformation, mobile computing, extended reality


Can you imagine a more arcane and boring topic than accounts receivable? Unless you are the CFO, controller, chief accounting officer or treasurer of an organization, maybe not. Anecdotally, as it’s part of the trend to the digital transformation of all things in the department, there appears to be greater interest in this area of the Office of Finance. With populations locked down and the...

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Topics: Office of Finance, Financial Performance Management, ERP and Continuous Accounting, robotic finance, AI and Machine Learning


Teradata is not a name that is commonly associated with the customer experience marketplace, but that is likely to change as customer experience (CX) practitioners wrestle with the problems created by the multiple streams of data thrown off by the many applications and customer touchpoints they have to manage. Teradata’s Vantage CX is a tool for ingesting and managing customer information at...

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Topics: Customer Experience, Marketing, Analytics, Business Intelligence, Contact Center, Data, Digital Marketing, Digital Commerce, intelligent marketing, AI and Machine Learning


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