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Fra Luca Pacioli, a 15th-century Franciscan friar living in what’s now Italy, is credited with codifying double-entry bookkeeping, which is the foundation of accounting. Pacioli, a polymath, was well acquainted with his contemporary and fellow polymath Leonardo Da Vinci. So, given they were at times collaborators, it’s fitting that one of the most important applications of SAP’s Leonardo...

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Topics: ERP, Machine Learning, Office of Finance, Internet of Things, CFO, Artificial intelligence, AI, Leonardo


A lot is being written and said about the omnichannel customer experience and the role contact center agents play in providing such experiences. From the customer’s perspective, I think it boils down to four things: that the interaction is easy, personal to them, within the context of the relationship and previous interactions, and consistent no matter with whom or what technology they interact....

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Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Service, Contact Center, Omnichannel, Robotic Process Automation, Workforce Optimization


In 2016 Unit4 acquired Prevero, a financial performance management software company. The acquisition reflects a trend toward the convergence of transactional and analytical business applications. ERP and financial management software vendors increasingly are adding analytic capabilities – especially in financial performance management (FPM) – to the core functions of transaction processing and...

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Topics: Marketing, Office of Finance, Continuous Planning, Analytics, Business Intelligence, Cloud Computing, Collaboration, Workforce Management, Financial Performance Management, FPM, Work and Resource Management, Operations & Supply Chain, Sales Planning and Analytics


Workiva’s Wdesk, a cloud-based productivity application for handling composite documents, will have a larger role to play as companies adopt new revenue recognition standards governing accounting for contracts. The Financial Accounting Standards Board (FASB), which administers Generally Accepted Accounting Principles in the U.S. (US-GAAP), has issued ASC 606 and the International Accounting...

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Topics: close, closing, XBRL, CFO, Document Management, SEC, 10Q, SEDAR, Composite document


Recently Hortonworks announced some significant additions to its products at the DataWorks Summit. These additions reflect the fact that the big data market continues to evolve, as I have previously written.

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Topics: Big Data, Machine Learning, Analytics


Our benchmark research into next-generation customer engagement shows the telephone is far from dead as a channel of customer engagement. Although the research shows other channels are likely to grow more quickly over the next two years, nearly half (46%) of organizations said they expect to see significant or some growth in the volume of calls they need to handle. So, as well as supporting...

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Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Service, Contact Center, Omnichannel, Workforce Optimization, Revenue


Centage recently released Budget Maestro Version 9, a complete revamping of its longstanding budgeting application designed for midsize companies. The software, now offered as a multitenant cloud-based offering, delivers several structural improvements that can enhance the effectiveness of a company’s planning processes and at the same time is easier to use. Budget Maestro Version 9 is designed...

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Topics: Planning, Reporting, Budgeting, Consolidation, Analytics, Business Planning, headcount planning


Natural language generation (NLG), the process of generating text or narratives based on a set of data values, can reach a broader audience. NLG narratives can be used for a variety of purposes, but in this perspective I focus on how NLG can be used to enhance business intelligence (BI) processes. In the case of BI, NLG can be used to explain what has happened and why it is happening, and even...

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Topics: Machine Learning, Natural Language, Analytics, Business Intelligence


Our benchmark research over the last couple of years confirms what we all instinctively know: Consumers engage with each other and organizations using an increasing number of engagement channels. Indeed, our latest research into the next-generation contact center in the cloud shows the average number of channels organizations now support has grown to almost eight. The same research confirms that...

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Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Feedback Management, Customer Service, Contact Center, Omnichannel, Robotic Process Automation, Customer Journey Maps, Workforce Optimization


Earlier this year Zuora acquired revenue recognition software vendor Leeyo. Zuora, which initially focused on taming the complexities of subscription billing, has been broadening its software offerings to handle a wider set of the operational and financial requirements of a subscription business. Leeyo held a Revenue Recognition Summit in 2016 and the event was recently repeated. The need for the...

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Many organizations continue to struggle with preparing data for use in operational and analytical processes. We see these issues reported in our Data and Analytics in the Cloud benchmark research, where 55 percent of organizations identify data preparation as the most time-consuming task in their analytical processes.  Similarly, in our Next-Generation Predictive Analytics research, 62 percent of...

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Topics: Analytics, Collaboration, Data Preparation, Datawatch


Not many years ago, building and running a contact center was a complex task. Organizations typically had to license all the systems they required (most of them proprietary and on-premises), customize them to meet their requirements and integrate them into a workable architecture. But beyond all the systems issues, the key to running the center was forecasting the right number of skilled agents...

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Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Feedback Management, Customer Service, Contact Center, Omnichannel, Robotic Process Automation, Customer Journey Maps, Billing and Recurring Revenue, Workforce Optimization, Digital transformation


Customer engagement is undergoing its biggest transformation in decades. Consumers now use a significantly greater number and variety of channels to engage with organizations – everything from phone, email and the corporate website to social media, text messaging, chat, mobile apps and video. This is forcing organizations to change in order not to miss out on business opportunities.

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Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Feedback Management, Customer Service, Contact Center, Omnichannel, Robotic Process Automation, Customer Journey Maps, Billing and Recurring Revenue, Workforce Optimization


I have been involved in the call center market for around 30 years, first as a consultant building call centers for organizations and later as an analyst covering developments in organizations’ customer engagement best practices and vendor product developments. Looking back over the first 20, maybe even 25 years, it has been a slowly developing market. Early call centers essentially included an...

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Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Service, Contact Center


Customer engagement is nothing new – organizations have been engaging with customers in one way or another ever since business began. Over the years, however, the nature of this engagement has changed dramatically, from largely face-to-face encounters and the written word to telephone, email, fax and text messaging and now to text-based applications, social media, mobile apps and video. These...

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Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Service, Contact Center, Workforce Optimization, Knowledge Management


Today many conversations about contact centers and CRM focus on customer engagement and the customer experience. Customer engagement should be relatively straightforward, addressing how organizations interact with customers through different channels of engagement. However, when it comes to customer experience, I believe many miss the point. The key word is experience, which means it is...

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Topics: Customer Analytics, Customer Engagement, Customer Experience, Cloud Computing, Customer Service, Contact Center, Billing and Recurring Revenue, Workforce Optimization


Longview recently completed the acquisition of Tidemark Systems, a planning software vendor. Longview Plan powered by Tidemark is a suite of cloud-based applications that enable corporations to plan, assess performance and communicate results more effectively. The software facilitates what Ventana Research calls “continuous planning.” This is a highly collaborative, action-oriented approach to...

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Topics: Mobile, Office of Finance, Recurring Revenue, Continuous Planning, Analytics, Business Intelligence, Financial Performance Management, Price and Revenue Management, ERP and Continuous Accounting, Sales Planning and Analytics


This is my second analyst perspective based on our IoT Benchmark Research. In the first, I discussed the business focus of IoT applications and some of the challenges organizations are facing. Now I’ll share some of the findings about technologies used in IoT applications and the impact those technologies appear to have on the success of users’ projects.

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Topics: Big Data, Analytics, Business Intelligence, IOT, NoSQL


Our benchmark research into next-generation customer engagement finds that three-quarters (77%) of organizations participating in the research said it is very important to improve the way they engage with customers. The two main drivers behind this are improving the customer experience (cited by 74%) and improving performance of the customer service organization (70%). This is important because...

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Topics: Mobile, Customer Analytics, Customer Engagement, Customer Experience, Customer Feedback Management, Cloud Computing, Collaboration, Customer Service, Internet of Things, Contact Center, Digital Technology, Omnichannel, Customer Journey Maps, Billing and Recurring Revenue


If we look at the focus of technology vendors for analytics and business intelligence or business applications providers deploying these capabilities in the last five years, we see that they have elevated the importance on the value of visualization and dashboards. These promotions might be understandable, but will they make business and the people using them more intelligent?

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Topics: Big Data, Data Science, Mobile, Machine Learning, Analytics, Business Intelligence, Cloud Computing, Collaboration, Information Optimization, Digital Technology, Machine Learning and Cognitive Computing


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