Sensitivity to environmental, social and governance issues – or ESG – has grown over the years and with it, increasing attention by some investors and government entities urging organizations to measure and disclose ESG metrics.
The topic of revenue operations has been extensively covered recently, not least by vendors extolling the virtues of their particular offering. But as with much of the software industry, vendors often see the market through the lens of their current product capabilities rather than what is necessarily needed. With the rise of the mixed-revenue model that includes subscription and usage pricing as well as one-time sales, combined with the growth in self-service commerce, the result is more teams...
It’s likely that finance analytics trace back to when people first began to record transactions on clay tablets. Financial analytics were given a boost with the codification of double-entry bookkeeping, an elegant system for recording transactions that facilitate the assessment of the performance and health of an organization. Further advances were achieved with the first mechanical – and then digital system – for automating computations, while personal computing devices made the numbers...
I have written a few times in recent months about vendors offering functionality that addresses data orchestration. This is a concept that has been growing in popularity in the past five years amid the rise of Data Operations (DataOps), which describes more agile approaches to data integration and data management. In a nutshell, data orchestration is the process of combining data from multiple operational data sources and preparing and transforming it for analysis. To those unfamiliar with the...
Artificial intelligence and machine learning are valuable to data and analytics activities. Our research shows that organizations using AI/ML report gaining competitive advantage, improving customer experiences, responding faster to opportunities and threats and improving the bottom line with increased sales and lower costs. No wonder nearly 9 in 10 (87%) research participants report using AI/ML or planning to do so.
Planful recently acquired Plannuh, a marketing-performance management application, to integrate into the Planful platform so that organizations can connect their marketing planning and analysis group with the finance department. There’s the old story of a CEO who said, “I know half my marketing spend is wasted, I just don’t know which half.” Plannuh is designed to answer that question.
Ventana Research’s Data Lakes Dynamics Insights research illustrates that while data lakes are fulfilling their promise of enabling organizations to economically store and process large volumes of raw data, data lake environments continue to evolve. Data lakes were initially based primarily on Apache Hadoop deployed on-premises but are now increasingly based on cloud object storage. Adopters are also shifting from data lakes based on homegrown scripts and code to open standards and open...
Much has been written in recent years on the emergence of subscription management as a new revenue model that both vendors and buyers are embracing as the future. The benefits speak to the value of a predictable revenue stream for the vendor, but more importantly, the advantages to the customer who needs a lower initial outlay, predetermined expense over the lifetime of usage and the ability to cancel or suspend on demand.
As I recently pointed out, process mining has emerged as a pivotal technology for data-driven organizations to discover, monitor and improve processes through use of real-time event data, transactional data and log files. With recent advancements, process mining has become more efficient at discovering insights in complex processes using algorithms and visualizations. Organizations use it to better understand the current state of systems and business processes. It is also used to enable ...
I have written before about the continued use of specialist operational and analytic data platforms. Most database products can be used for operational or analytic workloads, and the number of use cases for hybrid data processing is growing. However, a general-purpose database is unlikely to meet the most demanding operational or analytic data platform requirements. Factors including performance, reliability, security and scalability necessitate the use of specialist data platforms. I assert...
A year ago, I wrote about how technology could be useful in an inflationary period, correctly anticipating the world we live in now. Responding effectively to changes in costs is always challenging, but even more so because of the choppy and chaotic nature of the current environment. Many organizations have a limited or no ability to raise prices, and are forced to find ways to minimize the impact of rising costs. And while it’s true that some organizations have a degree of pricing power,...
Through 2025, establishing customer experience application suites on a common platform will be the focal point of the drive to optimize customer and organizational engagement. Organizations that are passionate about improving the customer experience are choosing to empower processes and people with intelligence through smarter applications that embrace analytics, artificial intelligence and automation to personalize and optimize the customer journey, whatever the channel of customer choice.
Earlier this year I described the growing use-cases for hybrid data processing. Although it is anticipated that the majority of database workloads will continue to be served by specialist data platforms targeting operational and analytic workloads respectively, there is increased demand for intelligent operational applications infused with the results of analytic processes, such as personalization and artificial intelligence-driven recommendations. There are multiple data platform approaches to...
A predictive finance department is one that can command technology to be more forward-looking and action-oriented while still fulfilling its core role of handling the financial elements of its organization including accounting, treasury and corporate finance. Beyond just automating rote tasks, technology also facilitates a shift toward becoming a predictive finance organization. Greater amounts of information, now available in near real time, and the increasing use of artificial intelligence...
Process mining is defined as the analysis of application telemetry including log files, transaction data and other instrumentation to understand and improve operational processes. Log data provides an abundance of information about what operations are occurring, the sequences involved in the processes, how long the processes are taking and whether or not the processes are completed successfully. As computing power has increased and storage costs have decreased, the economics of collecting and...
