With a year of AI-everywhere-all-the-time chatter now in the rearview mirror, finance and accounting department executives appear to be in a state of apprehension and well-tuned skepticism about the impact this technology will have on their organization. There are solid reasons to believe that the next few years will be transformative, making it important for departments to adopt a fast-follower approach to artificial intelligence. Rather than being a laggard, leaders must be ready to take...
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Topics:
Office of Finance,
Business Planning,
ERP and Continuous Accounting,
digital finance,
Procure-to-Pay,
Order-to-Cash,
Consolidate and Close Management
I have previously written about the impact of intelligent operational applications on the requirements for data platforms. Intelligent applications are used to run the business but also deliver personalization, recommendations and other features generated by machine learning and artificial intelligence. As such, they require a combination of operational and analytic processing functionality. The emergence of these intelligent applications does not eradicate the need for separate analysis of...
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Topics:
Analytics,
Artificial intelligence,
data platforms,
Analytics & Data,
Generative AI,
AI and Machine Learning
We live in an era of uncertainty, not unpredictability. Managing in uncertain times is always difficult, but tools are available to improve the odds for success by making it easier and faster to plan for contingencies and scenarios. Software makes it possible to manage ahead of any future event, connecting the tactical trees to the strategic forest. The purpose of planning is not just to create a plan: Enterprises spend time thinking ahead because it enables leadership teams, executives and...
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Topics:
Office of Finance,
Continuous Planning,
Data Management,
Business Planning,
data operations,
digital finance,
AI and Machine Learning
Unstructured data has been a significant factor in data lakes and analytics for some time. Twelve years ago, nearly a third of enterprises were working with large amounts of unstructured data. As I’ve pointed out previously, unstructured data is really a misnomer. The data is structured; it's just not structured into rows and columns that fit neatly into a relational table like much of the other information enterprises process. Consequently, it requires different skills, different technology...
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Topics:
Artificial intelligence,
Analytics & Data,
AI and Machine Learning,
Computer Vision
Digitally transforming finance operations has been a priority since 2020. For purchasing and the procure-to-pay cycle, software can streamline processes, shorten process times, reduce unnecessary costs, provide greater visibility into cash flows, increase control and improve results. Digitizing operations helps attract and retain the best talent because professionals spend less time on mechanical, repetitive tasks. For all these reasons, beginning this year, Ventana Research’s Office of Finance...
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Topics:
Office of Finance,
Continuous Planning,
Business Planning,
digital finance,
supplier relationship management,
Continuous Supply Chain & ERP,
Generative AI,
Procure-to-Pay
The migration of on-premises applications to the cloud has become more than just a technological shift; it’s a strategic imperative for enterprises. This transition, driven by the need for competitiveness, agility and responsiveness in a rapidly evolving business environment that operates at the speed of digital, is not a simple task. It requires a careful balance between the technology roadmap and the strategic business objectives of the organization.
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Topics:
Cloud Computing,
Digital Technology,
CloudOps,
Migration
The increasing importance of intelligent operational applications driven by artificial intelligence (AI) is blurring the lines that have traditionally divided the requirements between operational and analytic data platforms. Operational data platforms have traditionally been deployed to support applications targeted at business users and decision-makers to run the business, with analytic data platforms typically supporting applications used by data and business analysts to analyze the business.
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Topics:
embedded analytics,
Analytics,
Cloud Computing,
Analytics & Data,
operational data platforms,
Analytic Data Platforms
We’ve been saying for years that natural language processing (NLP) and natural language analytics would greatly expand access to analytics. However, prior to the explosion of generative AI (GenAI), software providers had struggled to bring robust natural language capabilities to market. It required considerable manual effort. Many analytics providers had introduced natural language capabilities, but they didn’t really resonate with enterprise requirements. They required significant effort to...
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Topics:
business intelligence,
Artificial intelligence,
natural language processing,
Analytics & Data,
Generative AI,
GenAI
Revenue and sales performance used to be the preserve of a few software providers as many enterprises made do with in-house solutions, often built on the ubiquitous spreadsheet. But increasingly managing revenue and sales performance is becoming too complex as business models are changing in response to customer behavior.
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Topics:
Office of Revenue,
Revenue Performance Management
Ventana Research recently announced its 2024 Market Agenda for Human Capital Management, continuing the guidance we have offered for two decades to help enterprises derive maximum potential from workforce- and people-related technology investments and initiatives. In crafting this Market Agenda, we focused on essential themes that are critical for HR organizations and for the software providers supporting them. The transformative nature of AI has not just begun to bring intelligence to HCM; it...
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Topics:
Human Capital Management,
Learning Management,
Talent Management,
Workforce Management,
Payroll Management,
Total Compensation Management,
employee experience
We are going through an analytics revolution in and around contact centers. There is more data to analyze and better tools to conduct the analysis. One important advancement is assessing customer sentiment and using it to predict (and influence) behavior. Enterprises are using customer experience programs to identify and act upon hidden "moments of leverage" where customers may be inclined or primed to make a purchase. To do that effectively, enterprises need insight into how the customer...
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Topics:
Customer Experience,
Voice of the Customer,
Contact Center,
Customer Experience Management,
Field Service,
Intelligent Self-Service
I am excited to announce that I have joined Ventana Research and ISG to lead coverage of the Human Capital Management technology practice, including Continuous Payroll, Employee Experience, Learning Management, Talent Management, Total Compensation Management and Workforce Management.
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Topics:
Human Capital Management
I have previously written about the functional evolution and emerging use cases for NoSQL databases, a category of non-relational databases that first emerged 15 or so years ago and are now well established as potential alternatives to relational databases. NoSQL is a term used to describe a variety of databases that fall into four primary functional categories: key-value stores, wide-column stores, document-oriented databases and graph databases. Each is worthy of further exploration, which is...
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Topics:
Data,
data operations
With Ventana Research’s 2024 Digital Business Market Agenda, we continue the guidance we have offered for two decades to help enterprises derive maximum value from digital business technology investments. Through our market research and expertise, we identify trends and best practices and share insights on how to achieve technological effectiveness, particularly in key processes and systems to engage the workforce.
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Topics:
Performance Management,
Digital Business,
Digital Communications,
Work Management,
Experience Management,
Sustainability and ESG,
Generative AI,
Digital Applications,
Digital Operations,
Digital Intelligence
Sales and revenue operations teams have for the most part traditionally relied on CRMs for information relating to leads and opportunities. For inside sales (sometimes referred to as high-velocity sales) as well as field sales, relevant product, pricing and customer have been loaded or entered into the CRM to be accessed via reports, dashboards or spreadsheets. For inside sales teams, dialers with prioritized seek lists were an additional need. Yet traditional CRM software providers were...
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Topics:
CRM,
Sales Engagement,
Office of Revenue
Ventana Research recently announced its 2024 Market Agenda in the expertise area of Marketing, continuing the guidance we have offered for nearly two decades to help enterprises derive optimal value from business technology and improve outcomes.
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Topics:
Marketing,
Marketing Performance Management,
Digital Marketing,
intelligent marketing,
product experience management,
Digital Experience Platform,
Customer Data Platforms
Ventana Research recently announced its 2024 Market Agenda for Artificial Intelligence, continuing the guidance we have offered for two decades to help enterprises derive optimal value from technology and improve business outcomes.
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Topics:
Artificial intelligence,
natural language processing,
Generative AI,
Computer Vision,
Model Building and Large Language Models,
Deep Learning
Ventana Research recently announced its 2024 Market Agenda for Digital Technology. This agenda is designed to provide expertise to enterprises across various industries, helping them prioritize technology investments that enhance workforce effectiveness, customer engagement and enterprise agility. Digital Technology is especially important for CIO and Chief Digital Officers looking to rationalize and modernize their IT portfolio. Our expertise will see a significant expansion on this topic in...
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Topics:
Business Continuity,
Cloud Computing,
IT Service Management,
Digital Technology,
Digital Security,
Observability,
DevOps and Platforms,
IoT and Edge Computing,
Intelligent Automation,
ITOps
The speed of innovation and transformation has picked up considerably in the 2020s, thanks to the confluence of artificial intelligence (AI), cloud computing and the pandemic. Modern consumers have wildly different expectations than their predecessors when it comes to service delivery, whether that means a preference for digital channels and self-service or a willingness to do their own troubleshooting and research. As a result, buying an operating platform for a contact center is not a simple...
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Topics:
Customer Experience,
Contact Center,
agent management,
Intelligent Self-Service