Analyst Perspectives

The starting point of an era is never precise and rarely conforms to neat calendar delineations. For example, the start of the 20th century is associated with the outbreak of war in 1914. So I expect that decades from now, the consensus will hold that what became known as the 21st century began in the year 2020, with the pandemic serving as a catalyst that accelerated already existing trends and forced changes to prevailing norms and practices. This and other disruptive events that have...

IBM Planning Analytics with Watson is a comprehensive, cloud-based business planning application that supports what Ventana Research calls integrated business planning. We coined this term in 2007 to describe a high-participation approach to business planning that integrates strategy, operations and finance. Our Next Generation Business Planning Benchmark Research demonstrated the value of IBP: Organizations that link planning processes get better results. Sixty-six percent of organizations...

The idea of partnerships in business is most definitely not new. Wholesaling through distributors and retailers is centuries old. For some industries, their entire model is selling and servicing through partners. Think auto parts, and the auto part stores visible in most neighborhoods. But what is new is that partnerships are moving beyond this reseller model towards product partnerships, where a seller’s products and services are supplemented by other vendors’ offerings from adjacent and...

It has been three years since Oracle hosted a CloudWorld event live in Las Vegas, and it is clear the time has not been wasted. With 12 new releases since the last event, the Oracle human capital management product team has made significant advances in both product and service. Three areas of note: Oracle HCM’s continued focus on personalization of experience, meeting the HCM needs of the healthcare industry and advancing the Oracle Cloud Recruiting offering.

If you’ve ever been to London, you are probably familiar with the announcements on the London Underground to “mind the gap” between the trains and the platform. I suggest we also need to mind the gap between data and analytics. These worlds are often disconnected in organizations and, as a result, it limits their effectiveness and agility.

I have previously written about growing interest in the data lakehouse as one of the design patterns for delivering hydroanalytics analysis of data in a data lake. Many organizations have invested in data lakes as a relatively inexpensive way of storing large volumes of data from multiple enterprise applications and workloads, especially semi- and unstructured data that is unsuitable for storing and processing in a data warehouse. However, early data lake projects lacked structured data...

The door opened to a new world in 2020, one that renders old assumptions suspect and future outcomes more varied and uncertain. It’s likely that the transition to what’s next will be bumpy, which makes planning more effectively that much more strategic.

Prophix offers cloud financial software for planning, budgeting, reporting and statutory financial consolidation designed to meet the requirements of midsize organizations and divisions of larger corporations. The company was one of the first to offer a planning platform capable of bringing together a company’s diverse planning processes and financial planning and budgeting. Its consolidation and close automation enable a shorter close and improved accounting staff productivity for midsize...

For quite a few years now, two trends have put the contact center on a collision course. First, the technology used to handle customer inquiries has been evolving quickly, moving organizations farther and farther away from the traditional mode of primarily answering voice calls. At the same time, consumers have become much more demanding. There’s no doubt that customers are more likely to use quality of service as a gauge for whether they should continue doing business with an organization....

I have written recently about the similarities and differences between data mesh and data fabric. The two are potentially complementary. Data mesh is an organizational and cultural approach to data ownership, access and governance. Data fabric is a technical approach to automating data management and data governance in a distributed architecture. There are various definitions of data fabric, but key elements include a data catalog for metadata-driven data governance and self-service, agile data...