Analyst Perspectives

The publication of Ventana Research’s 2023 Operational Data Platforms Value Index earlier this year highlighted the importance of incorporating analytic processing into operational applications to deliver personalization and recommendations for workers, partners and customers. This importance is being accelerated by interest in generative AI, especially large language models. The emergence of intelligent applications has impacted the requirements for operational data platforms with the need to...

Increasing threats and challenges from cyberattacks, data breaches and other incidents have made digital security a critical concern for organizations. These dangers have devastating consequences, including financial loss, reputational damage, legal liabilities and operational disruption. Adopting effective and efficient digital security strategies is key to protecting data, assets and customers from risk.

I recently attended Sage Software’s Partner Summit. Implementation partners account for most of the sales and implementation of finance and accounting applications designed for small and midsize businesses, so they are important to the success of the software vendor. These events are designed to inform partners of product enhancements and the product and technology roadmap as well as provide a perspective on market conditions and trends.

Perhaps no human capital management-related topic has been more widely examined in recent years than the struggle to find and retain top talent. Software has flooded the market to address the challenge from every angle — automated sourcing and stack ranking of candidates; artificial intelligence-powered employee sentiment analysis for identifying and reducing the risk of attrition; and internal skills gap identification with connected learning opportunities to help organizations quantify what...

Verint came to its Engage customer conference in June with the goal of changing the industry’s conversation around Contact Center as a Service (CCaaS). The industry commonly considers CCaaS to be equivalent to cloud-based voice routing, an old and perhaps outdated way of thinking about provisioning contact centers. Verint wants to flip the narrative: voice routing is not special enough anymore to warrant being the core around which buying decisions are made. In Verint’s telling, CCaaS is more...

Despite best intentions, many organizations still struggle with some fundamental aspects of data processing and analytics. Taking data from operational applications and making it available for analysis is a first step, but data management remains a perennial challenge. Data movement and transformation difficulties can lead to delays and data quality problems that prevent organizations from generating value from data. The inability to govern and integrate data from multiple data sources prevents...

Since acquiring InContact in 2016, NICE has moved far from its roots in call recording and contact center quality optimization. That acquisition birthed what was effectively a hybrid that married cloud contact center operations (CCaaS) with a focus on advanced customer experience (CX) analytics. NICE held its annual customer event, Interactions 2023, in June in New York, gathering end users to hear the company talk about its work in these areas and its efforts to use new AI technologies for CX.

Cloud computing has emerged as the catalyst for a shift from digital transformation to digital modernization. This technology offers many advantages, including heightened agility, cost reduction, improved collaboration, enhanced security and accelerated innovation. Hybrid and multi-cloud strategies offer distinctive strengths that enable organizations to optimize the IT infrastructure necessary for digital transformation and modernization efforts.

Maintaining data quality and trust is a perennial data management challenge, often preventing organizations from operating at the speed of business. Recent years have seen the emergence of data observability as a category of DataOps focused on monitoring the quality and reliability of data used for analytics and governance projects and associated data pipelines. There is clear overlap with data quality, which is more established as both a discipline and product category for improving trust in...

Organizations increasingly rely on real-time analytics to make informed decisions and stay competitive in today’s data-driven business landscape. As the complexity of data grows with the continuous addition of diverse sources, customers and workers alike expect real-time responsiveness. Accelerated query performance is crucial to process and extract valuable insights from data in a timely manner. Traditional analytics applications are often insufficient for managing the scale, velocity and...