Earlier today I presented findings from my recent EMA Radar for Workload Automation (WLA): Q1 2016 report. The recording for the webinar is now live here.
Q&A from EMA Radar for Workload Automation (WLA): Q1 2016
Rewarding Impatience with User Self-Service
There seems to be a direct correlation between how successful business professionals are and their level of impatience. While I am not familiar with any studies on this particular subject, it is simple logic that the most productive employees are those who most frequently demand rapid response to service requests. From my past experience managing and providing IT administrative support, I can attest that these individuals are usually the most irritating—constantly requesting access to new applications, data, and other business resources with expectations of an immediate response. Begrudgingly, I must acknowledge that these are the folks who are also most likely to close deals, beat deadlines, increase revenues, and win awards. In the modern world of highly competitive markets and increased organizational requirements, impatience may actually be a virtue.
Developing an Information Management Strategy Within the EMA Hybrid Data Ecosystem
Enterprise Management Associates (EMA) has recognized that big data implementers and consumers rely on a variety of platforms to meet their big data requirements. These platforms include new data management technologies such as Hadoop, MongoDB, and Cassandra, but the collection also includes traditional SQL-based data management technologies supporting data warehouses and data marts; operational support systems such as customer relationship management (CRM) and enterprise resource planning (ERP); and cloud-based platforms. EMA refers to this collection of platforms as the Hybrid Data Ecosystem (HDE):