Get access to the Forrester report about Simplifying and Automating file management!
Enabling DevOps through Jobs as Code. See the Forrester thought leadership paper report commissioned by BMC.
BMC commissioned Forrester Consulting to conduct a Total Economic ImpactTM (TEI) study to examine the business benefits that financial services organizations may realize by deploying Control-M. The purpose of this study is to provide readers with a framework to evaluate the potential financial benefit of using Control-M within their organizations.
To better understand these benefits, Forrester interviewed several existing financial services industry customers with multiple years of experience using Control-M to automate, schedule, monitor, and manage their enterprise workloads....
Analyzing big data poses multiple challenges. Highly parallel distributed data architecture is
one solution, but until recently it has been mostly limited to databases, not business intelligence (BI) application servers. In this report, application development and delivery (AD&D) pros working on BI initiatives will learn about the capabilities of distributed BI platforms mostly based on Hadoop.
The demands of digital business call for a more efficient approach to IT operations. This Forrester thought leadership paper evaluates how companies are using workload automation to support business workflows more accurately and with greater control.
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Eliminate manual scripting to increase efficiency and productivity
Gain a single view of scheduled jobs across the enterprise
Reduce operational waste to meet business needs better and faster
If you’ve ever watched the classic comedy-drama sports movie Jerry Maguire, you’re familiar with the phrase, “Show me the money.” And that’s exactly what Forrester does in a new study that provides an in-depth look at the business benefits and total economic impact (TEI) of Control-M software from BMC. The commissioned study conducted by Forrester Consulting on behalf of BMC describes how large financial organizations can increase reliability and productivity of digital business services while saving an average of more than $6 million over a three-year period with Control-M.
Enterprise job schedulers increase IT productivity by providing better control and reducing manual interventions and errors.