Ventana Research Analyst Perspectives

I am happy to share insights gleaned from our latest Buyers Guide, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research 2023 Analytics and Data Buyers Guide is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to Analytics vendors supporting the spectrum...

The 2023 Ventana Research Buyers Guide for Analytics and Data research enables me to provide observations about how the market has advanced.

Network security resilience is the ability to withstand and recover from cyber-attacks. To achieve this, organizations need to use DDI technology. DDI stands for DNS, DHCP and IPAM. These are three services that help devices connect and communicate on a network.

The data platforms market may appear to have little or nothing to do with haute couture, but it is one of the data sectors most strongly influenced by the fickle finger of fashion. In recent years, various architectural approaches to data storage and processing have enjoyed a phase in the limelight, including data warehouse, data mart, data hub, data lake, cloud data warehouse, object storage, data lakehouse, data fabric and data mesh. These approaches are often heralded as the next big thing,...

The acquisition of Splunk by Cisco marks a significant milestone in the digital security industry. This strategic move combines the strengths of two industry leaders, offering a suite of products and services underpinned by artificial intelligence technologies. However, like any major business decision, it comes with challenges and potential risks. Ventana Research presents an analysis of the strengths, weaknesses, opportunities and threats associated with this acquisition, offering valuable...

Despite a focus on being data-driven, many organizations find that data and analytics projects fail to deliver on expectations. These initiatives can underwhelm for many reasons, because success requires a delicate balance of people, processes, information and technology. Small deviations from perfection in any of those factors can send projects off the rails.

Customer relationship management systems have been around since Tom Siebel created one while working at Oracle in the late ‘80s and then monetized it founding Siebel Systems that eventually was bought by Oracle. When Salesforce launched its “No Software” slogan in the early 2000s, CRM moved to the cloud, but the concept was still based on a object model centered around an opportunity that represented a potential sale. The user interface allowed entry of data to the opportunity, along with...

In the realm of business process and workflow management, few names stand as tall as ServiceNow. After gaining traction for its cloud-based platform designed to help organizations manage and track IT service requests, the brand has grown into a behemoth, offering a wide range of services aimed at automating and optimizing business processes. Yet, in recent years, there’s been a notable and significant addition to the company's portfolio as it moved firmly into the realm of human capital...

Organizations are continuously combining data from diverse and siloed sources for analytical, artificial intelligence and machine learning projects. As the volume of data grows, it becomes challenging for organizations to manage and keep current to extract valuable insights in a timely manner.

I have written before about the rising popularity of the data fabric approach for managing and governing data spread across distributed environments comprised of multiple data centers, systems and applications. I assert that by 2025, more than 6 in 10 organizations will adopt data fabric technologies to facilitate the management and processing of data across multiple data platforms and cloud environments. The data fabric approach is also proving attractive to vendors, including Microsoft, as a...