What You Need to Know about the Security Operations Center Market in Switzerland
Managed security services providers in Switzerland are seeing success with the security operations center (SOC) model.
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Research
Silos in HR, Sales and Finance for Total Rewards Strategy
For decades, organizations have treated sales incentive compensation as a separate entity, isolated from the broader total rewards strategy. This isolation stems from historical operations, where sales compensation is designed and managed within Sales, with periodic budget oversight from Finance, while HR focuses on base pay, benefits and equity. Unfortunately, this siloed approach, further reinforced by outdated technology and entrenched business practices, limits companies from fully leveraging their total rewards strategy. As a result, I predict that by 2028, many companies will find their compensation processes ineffective, prompting a critical assessment of their alignment with desired priorities and values.
Research
Conversational Automation’s Impact on AI and CX
Conversational automation is one of those software segments that means something different depending on who you are or your role in an organization. According to my colleague Jeff Orr, the core of the idea is that conversational automation tools benefit from artificial intelligence (AI), allowing software agents, chatbots and virtual assistants to automate customer interactions and internal processes. This broad definition hits the mark, I think, because it identifies the core functions without putting too tight a straitjacket on the technology itself, which is developing very quickly. The software provider landscape is analyzed in the ISG Buyers Guide for Conversational Automation.
Research
Data Lakehouses Enable Data as a Product
I have previously described how data as a product was initially closely aligned with data mesh, a cultural and organizational approach to distributed data processing. As a result of data mesh’s association with distributed data, many assumed that the concept was diametrically opposed to the data lake, which offered a platform for combining large volumes of data from multiple data sources. That assumption was always misguided: There was never any reason why data lakes could not be used as a data persistence and processing platform within a data mesh environment. In recent years, data as a product has gained momentum outside the context of data mesh, while data lakes have evolved into data lakehouses. It has become increasingly clear that data lakehouses and data as a product are well matched, as the data intelligence cataloging capabilities of a lakehouse environment can serve as the foundation to enable the development, sharing and management of data as a product.
Research
Addressing Overwhelm in Enterprise Security Leadership
In an era defined by the relentless advance of cyber threats, enterprise security leaders grapple with an overwhelming landscape. Enterprises face complex challenges as sophisticated attacks and increasing responsibilities stretch security teams thin. Many describe daily experiences as perpetual "firefighting," trapped in cycles of reacting to incidents rather than developing proactive strategies to fortify defenses.
Research
What’s Next for AI and Sales?
Ten years have passed since artificial intelligence (AI) first appeared in sales technology, and the results are mixed. Early tools applied rudimentary machine learning (ML) models to customer relationship management (CRM) exports, assigning win probability scores or advising on the “ideal” time to call. The mathematics was sound, the demos impressive, yet adoption faltered because little thought was given as to how sellers should use this information.
