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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


Through 2021, one-half of organizations will realize that digital transformation (DX) investments have not met the organizational readiness requirements of business continuity, leading to a new focus on innovative digital technologies that more reliably sustain operations. Which processes does your organization need to prioritize most to operate continuously? Who are the organization’s...

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Topics: Business Continuity, Business Planning, Digital transformation


One of the oddities of corporate management is that, as a rule, nobody oversees managing profitability. CEOs are accountable for meeting company-wide financial targets and assign responsibility for achieving profitability levels to business unit owners across and down an organization. Sales quotas designed to achieve revenue goals are put in place, and budget owners have cost and margin...

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Topics: Office of Finance, Sales Performance Management (SPM), Financial Performance Management, Price and Revenue Management, Digital Commerce, Predictive Planning, Subscription Management


Although historically there has been a hard divide between what are colloquially called “Inside and Field Sales,” changes over the last 10 years have narrowed the distinction. The pandemic has only accelerated the path to unifying sales activities commonly performed to engage buyers and customers. Characterized by a very disciplined and controlled endeavor, inside sales teams have been heavier...

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Topics: Sales, embedded analytics, Analytics, Business Intelligence, Collaboration, Internet of Things, Sales Performance Management (SPM), natural language processing, intelligent sales, sales enablement, AI and Machine Learning


The annual Ventana Research Digital Innovation Awards showcases advances in the productivity and potential of business applications, as well as technology that contributes significantly to improved efficiency and productivity in the processes and the performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations that advance...

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Topics: Analytics, Collaboration, Data Governance, Data Lake, Data Preparation, IOT, Data, Information Management (IM), Digital Technology, blockchain, Conversational Computing, collaborative computing, mobile computing, extended reality, AI and Machine Learning


Determining and providing the appropriate compensation for each person — whether it involves base pay, variable pay such as commissions or bonuses or longer-term incentives in the form of cash or equity or other rewards — is critical to being able to attract and retain productive members of the workforce, whether full- or part-time employees, contingent workers or contractors. The complexities of...

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Topics: Analytics, collaborative computing, total rewards management, AI and Machine Learning


The annual Ventana Research Digital Innovation Awards showcases advances in the productivity and potential of business applications, as well as technology that contributes significantly to improved efficiency and productivity in the processes and the performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations that advance...

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Topics: Continuous Planning, Data, Digital Technology, Operations & Supply Chain, Enterprise Resource Planning, blockchain, continuous supply chain


A data lake is a centralized repository designed to house big data in structured, semi-structured and unstructured form. I have been covering the data lake topic for several years and encourage you to check out an earlier perspective called Data Lakes: Safe Way to Swim in Big Data? for background. Our data lake research has uncovered some points to consider in your efforts, and I’d like to offer...

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Topics: Data Governance, Data Lake, Information Management, Data, Digital Technology


In preparing this research note I took the precaution of searching “value-based planning” to see what came up. Over the years, the term has been used in several contexts each with different shadings. By my definition it’s an approach to planning and budgeting that maximizes the long-term value of an organization by considering all its objectives – not just the financial targets. Value-based...

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Topics: Office of Finance, Financial Performance Management, Predictive Planning


Enterprise resource planning (ERP) systems are central to nearly every organization’s management of operational and financial business processes. They are essential to the smooth functioning of an organization’s record keeping, accounting and finance tasks. In manufacturing and distribution, ERP manages inventory and logistics. Some ERP software vendors incorporate an extended set of capabilities...

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


Every organization performing analytics with multiple employees needs to collaborate. They should be collaborating in the analytics process and in communicating the results of those analyses. As I continue my evaluation of analytics and data vendors, I have to admit some disappointment at the level of collaborative capabilities some analytics vendors provide. To be fair, the level of capabilities...

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Topics: business intelligence, Analytics, Collaboration, Data Governance, Data Preparation, Information Management, Data, Digital Technology, collaborative computing


The annual Ventana Research Digital Innovation Awards showcases advances in the productivity and potential of business applications, as well as technology that contributes significantly to improved efficiency and productivity in the processes and the performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations that advance...

Read More

Topics: embedded analytics, Analytics, Business Intelligence, Collaboration, Digital Technology, natural language processing, Conversational Computing, collaborative computing, mobile computing, AI and Machine Learning


This has been a dramatic year for contact centers. The underlying technology has been changing for some time, but that change is now accelerating because of the urgent operational shifts forced by the pandemic. When you can’t gather dozens or hundreds of people into a single, open-plan site, you must look at alternative models for staffing and interaction handling. You must also work harder to...

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Topics: Customer Experience, Voice of the Customer, Analytics, Contact Center, Product Information Management, Digital Commerce, Subscription Management, agent management, AI and Machine Learning


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