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The term SaaS-pocalypse has been popularized lately to summarize the idea that the traditional business software providers’ business model is about to undergo a tectonic structural shift because artificial intelligence will change how work is performed, rendering applications and their subscription pricing models obsolete. In this telling, AI assistants or agents can reduce the need for humans to...

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Topics: Office of Finance, Operations & Supply Chain, Office of Revenue, AI & Technologies, Business & Technologies


Buying HR technology is a significant decision. It requires months of software provider reviews, internal alignment, business case development and implementation planning. When the contract is signed and the system goes live, it often feels like the hard part is over. In reality, the work that determines actual success is just beginning.

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Topics: Employee Engagement, Learning Management, Talent Management, Workforce Management, Payroll Management, Total Compensation Management, Employees & HCM - Business & Technologies


Revenue leadership is under pressure. Pipeline predictability is eroding, seller productivity is stalling and artificial intelligence (AI)-generated noise is clouding decision-making. While boards demand consistent growth, the operational scaffolding beneath most revenue engines remains outdated, over-reliant on siloed KPIs, fragmented tech stacks and an overpromised customer relationship...

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Topics: sales engagement, Revenue Performance Management, Office of Revenue, Business & Technologies, Revenue Lifecycle Management


I have been using the term “data pantry” (somewhat tongue in cheek) to describe a curated, governed and readily accessible collection of enterprise data that business users can draw on to support the use of core business software. This includes ERP, CRM and supply chain management software, as well as essential business processes such as analytics, forecasting and planning. This form of data...

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Topics: Office of Finance, Analytics, Digital Business, digital finance, Generative AI, Customers and CX - Business & Technologies, Employees & HCM - Business & Technologies, Office of Revenue - Business Technologies, Supply Chain and Operations, AI & Machine Learning


I previously stated that too many enterprises allow the IT department to be wholly responsible for data and analytics, with the risk that strategies become divorced from business objectives and KPIs. I also stated that a pragmatic approach to organizing and operating data, analytics and artificial intelligence (AI) initiatives is essential to treating data as a business discipline. There are...

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Topics: Governance, Operations, Analytics, Data Platforms, Generative AI, Data Intelligence, AI & Technologies, Streaming & Events, AI & Machine Learning


We are kicking off our Supply Chain Planning Buyers Guide™ for 2026. ISG Software Research defines supply chain planning (SCP) as the business discipline of coordinating the future supply of materials and services used in the creation of specific products and services with the expected demand for them. The purpose of planning is to optimize the flow of goods and materials with related services...

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Topics: Supply Chain Planning, Business Planning, supply chain management, Supply Chain and Operations


There are many reasons why the contact center market is in flux, but chief among them is the drive towards convergence: traditional telephony, digital channels, customer relationship management (CRM), workforce tools and analytics are expected to operate as a unified system, rather than as a set of disconnected point solutions. This creates a problem for enterprises: how to modernize their...

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Topics: Contact Center, Customer Experience Management, CCaaS, Customers and CX - Business & Technologies, Zoho


Let's be blunt: The pressure to adopt AI in HR is a panic button being hit by the C-suite. The mandate from the boardroom is clear, and the pressure is intensifying: HR must adopt AI to remain competitive. This directive often lands on the desks of HR leaders who are already managing complex environments, creating a dangerous disconnect between executive ambition and operational reality.

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Topics: Employee Engagement, Learning Management, Talent Management, Workforce Management, Payroll Management, Total Compensation Management, Employees & HCM - Business & Technologies


Digitally transforming finance operations has been a priority since 2020. Especially with the application of artificial intelligence in all its forms, software can streamline purchasing and the procure-to-pay (P2P) cycle, shorten process times, reduce unnecessary costs, provide greater visibility into cash flows, increase control and improve results. The application of AI will increasingly...

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Topics: Office of Finance, ERP and Continuous Accounting, Procure-to-Pay, Generative AI, Business & Technologies, AI & Machine Learning


Time is a critical element in business decision-making. To make decisions at the speed of business, it is fundamentally important that enterprises have access to relevant data in a timely manner. It is also essential, however, that data is processed and analyzed in the correct time sequence. In order to decide when to buy or sell, a trader needs to be sure that the price data they are analyzing...

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Topics: Data Platforms, AI & Technologies, AI & Machine Learning


Revenue organizations are running out of room to hide. With increasingly complex buyer journeys, longer sales cycles and rising expectations for personalized outreach, today’s CROs face a mounting challenge: deliver predictable growth in a market that’s anything but predictable while simultaneously building a team that doesn’t burn out.

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Topics: Sales Performance Management, Revenue Performance Management, Revenue Lifecycle Management, Office of Revenue - Business Technologies


Prophix One is a finance and accounting platform that provides enterprises a single point of entry and common authentication for financial applications. It uses in-memory cube technology to enable enterprises to handle complex planning tasks built on very large datasets to eliminate barriers to integrated business planning. The platform and its dedicated data store support the use of artificial...

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Topics: Office of Finance, Analytics, Business Planning, digital finance, Generative AI, Consolidate and Close Management, Business & Technologies, AI & Machine Learning


I previously described data intelligence as fundamental to providing data analysts and business users with governed self-service access to data across an enterprise by delivering information about how data is produced and consumed across the organization. Data intelligence relies on a combination of technical and business metadata and functionality for knowledge graph, data inventory, data...

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Topics: Governance, Operations, Data Platforms, Generative AI, Data Intelligence, AI & Technologies, AI & Machine Learning


Integration has evolved from a technical requirement into a strategic cornerstone in today’s HR technology landscape. Yet many organizations still treat connectivity between systems as a back-end IT concern rather than the foundation of the employee experience. That mindset is rapidly becoming a liability. The reality is simple: If your systems cannot connect, your strategy cannot connect either.

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Topics: Employee Engagement, Learning Management, Talent Management, Workforce Management, Payroll Management, Total Compensation Management, Employees & HCM - Business & Technologies


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...

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Topics: Office of Finance, ERP and Continuous Accounting, digital finance, Generative AI, Order-to-Cash, Business & Technologies, AI & Machine Learning


HR technology is entering a new era, and with it comes a challenge that many leaders underestimate: the need to embrace platform thinking as a core competency. For years, we’ve approached technology decisions as a way to solve pain points—patching gaps, fixing inefficiencies and responding to immediate needs. That mindset is understandable, but it’s also the reason so many organizations are...

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Topics: Employee Engagement, Learning Management, Talent Management, Workforce Management, Payroll Management, Total Compensation Management, Employees & HCM - Business & Technologies


Requirements for sustainability reporting have been undergoing a political shift over the past year, including modifications to the EU’s reporting requirements. The difference between European and North American attitudes to sustainability as a priority, which were significant 15 years ago, began to converge toward the end of the ‘teens but now appear to be diverging. In the U.S. in particular,...

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Topics: digital finance, Sustainability Management, Business & Technologies, Supply Chain and Operations


As I previously stated, although most enterprises are reliant on batch data processing, it is an artificial construct driven by the historical limitations of computing capabilities to generate and process data at the same time without impacting performance. While real-time data processing has previously been seen as a niche requirement for low-latency applications, it is increasingly being...

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Topics: Governance, Generative AI, AI & Technologies, Streaming & Events, AI & Machine Learning


ISG recently published the 2025 ISG Buyers Guides for DataOps, providing an assessment of 51 software providers offering products used by data engineers, data scientists, and data and AI professionals to facilitate the use of data for analytics and AI needs. The DataOps Buyers Guide research generated three reports and five quadrants assessing providers in relation to overall DataOps, Data...

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Topics: Operations, Generative AI, AI & Technologies, AI and Machine Learning


I recently wrote about the evolving requirements for operational data platforms to support artificial intelligence (AI) workloads. Operational data platforms providers are rapidly updating their products, driven by the development of intelligent applications infused with contextually relevant recommendations, predictions and forecasting that are in turn driven by machine learning (ML), generative...

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Topics: Data Platforms, Generative AI, AI & Technologies


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