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 analyzing large amounts of log data have become much more attractive.
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Topics: Analytics, Business Intelligence, AI and Machine Learning, Process Mining
Investment in LMS is an Investment in Organizational Success
Posted by
Quincy Valencia on Sep 30, 2022 3:15:00 AM
The learning management system technology market has evolved dramatically over the past two decades. Learning management systems, now commonly referred to as learning experience platforms, are an integral resource for any organization concerned about productivity, organizational agility and operational excellence. These technologies enable organizations to demonstrate an investment in people, as the LMS not only facilitates regulatory and legal compliance and other forms of cost and risk avoidance but also improves internal mobility, career growth and the employee experience, leading to improved employee productivity, engagement and retention.
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Astronomer’s Cloud-Based Data Orchestration Brings Efficiency
Posted by
Matt Aslett on Sep 29, 2022 3:00:00 AM
I have recently written about the organizational and cultural aspects of being data-driven, and the potential advantages data-driven organizations stand to gain by responding faster to worker and customer demands for more innovative, data-rich applications and personalized experiences. I have also explained that data-driven processes require more agile, continuous data processing, with an increased focus on extract, load and transform processes — as well as change data capture and automation and orchestration — as part of a DataOps approach to data management. Safeguarding the health of data pipelines is fundamental to ensuring data is integrated and processed in the sequence required to generate business intelligence. The significance of these data pipelines to delivering data-driven business strategies has led to the emergence of vendors, such as Astronomer, focused on enabling organizations to orchestrate data engineering pipelines and workflows.
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Topics: Cloud Computing, Data Management, Data, data operations, Analytics & Data
Workday Rising Shows Advances for the Office of Finance
Posted by
Robert Kugel on Sep 28, 2022 3:00:00 AM
Workday held its first in-person Rising user group meeting since 2019 in Orlando. Three topics are worth commenting on: Workday’s Extend offering, its industry accelerators and its progress with the Workday Adaptive Planning offering.
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Topics: Office of Finance, Business Planning, Financial Performance Management, ERP and Continuous Accounting, digital finance
Cloud Computing Realities Part 2: Hybrid and Multi-Cloud Architectures
Posted by
David Menninger on Sep 27, 2022 3:00:00 AM
In my first perspective on cloud computing realities, I covered some of the cost considerations associated with cloud computing and how the cloud costing model may be different enough from on-premises models that some organizations are taken by surprise. In this perspective. I’d like to focus on realities of hybrid and multi-cloud deployments.
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Topics: Cloud Computing, Digital Technology
