BMC on BMC: Real-World Tested Solutions for Your Business

Before State: A siloed and inefficient offboarding process led to an average of $100K in waste due to under-utilization and neglect of configuration items (CIs) owned by departing developers.

Impact: The inefficiencies in the offboarding process had a direct impact on financial health and operational efficiency. Additionally, the manual nature of the offboarding process led to delays, errors, and increased operational costs.

BMC Solution & After State: By leveraging TrueSight Orchestration, employee departures could be captured and analyzed to identify CI ownership and automatically reassign them for review, reassignment, or disposal/reclamation.

Outcome:

• 2,400 developer virtual machines reclaimed annually
• $100K in recaptured resources per developer
• 6 hours of monthly manual effort automated

Before State: Manual provisioning of guest Wi-Fi credentials for thousands of visitors per year was inefficient and ineffective. The support team manually processed each ticket and performed six manual steps per request.

Impact: The inefficiencies in the manual provisioning of guest Wi-Fi had a notable impact on both operational efficiency and customer satisfaction. Additionally, the manual process increased the risk of errors.

BMC Solution & After State: Leveraging TrueSight Orchestration, the team created a seamless customer experience for auto-provisioning guest Wi-Fi credentials.

Outcome:

• 10,000 annual guest Wi-Fi requests
• 2-hour turnaround time reduced to 2 minutes
• 32K hours of annual effort automated

Before State: BMC IT encountered significant operational inefficiencies that raised the risk of errors but also consistently drained valuable time and resources for manual cleanup tasks post incomplete decommissioning attempts.

Impact: BMC IT addressed the challenges by leveraging BMC Helix Digital Workplace, BMC Helix ITSM, and TrueSight Orchestration. We developed an automated end-to-end process for server decommissioning, streamlining the workflow from request to execution.

BMC Solution & After State: BMC IT addressed the challenges by leveraging Helix Digital Workplace, Helix ITSM, and TrueSight Orchestrator. We developed an automated end-to-end process for server decommissioning, streamlining the workflow from request to execution.

Outcome:

• 9 tasks automated
• 4-hour time to complete reduced to 10 minutes
• 98% reduction in rework

Before State: Idle assets using capacity and dollars contributed to unnecessary expenditure and unnecessary capacity use and an inefficient bottom line.

Impact: Resources were underutilized, leading to increased operational costs and reduced overall efficiency.

BMC Solution & After State: BMC Helix Continuous Optimization provided a comprehensive set of tools and features to identify idle assets, including virtual machines (VMs), by utilizing tags, ETLS, and queries. By leveraging capabilities, teams were empowered to reduce unnecessary spending and free up capacity, addressing root cause.

Outcome:

• 10% reduction in overall storage spend
• 50% reduction in idle VMs
• Ability to reduce VMware licenses and better manage capacity within the power and cooling limitations of the data center

Before State: Estimating the cost of migrating resources to cloud environments proved to be time-consuming, manual, and inaccurate. The lack of a streamlined and accurate cost estimation process hindered our ability to make informed decisions regarding cloud migration options, impacting planning and efficiency.

Impact: Resources were underutilized, leading to increased operational costs and reduced overall efficiency.

BMC Solution & After State: BMC Helix Continuous Optimization provides predictable cost estimates based on performance requirements, and it allows for a data-driven decision and execution of cloud migration initiatives.

Outcome:

• Data-informed recommendations:  BMC Helix Continuous Optimization allows for data-informed recommendations on cloud migration options
• Predictable cost estimates:  BMC Helix Continuous Optimization enables easy prediction of migration costs to various cloud platforms

Before State: The existing network infrastructure struggled to meet the demands of a workforce operating in a hybrid environment and challenged the ability to offer seamless connectivity for employees.

Impact: The mismatch between network capacity and the requirements of a hybrid work model led to connectivity issues.

BMC Solution & After State: BMC Helix Continuous Optimization allows teams to analyze user connections, multiprotocol label switching (MPLS), and internet connections at each site and run "what-if models" to ensure that proper bandwidth is achieved to meet the needs of a hybrid workforce.

Outcome:

• Ability to analyze and optimize network bandwidth to avoid expenses from under-utilized networks
• "What-if" models offer predictive data to ensure smooth operations during the ebbs and flows of business needs

Before State: Maintaining high resource efficiency within the data center was difficult, and issues related to surge capacity were frequent.

Impact: The inefficiencies in forecasting and addressing surge capacity had a direct impact on data center operations. This hindered resource efficiency and capacity planning.

BMC Solution & After State: BMC Helix Continuous Optimization provided the capability to forecast saturation for computer, storage, and data center infrastructure management (DCIM) resources. This allowed for a more proactive and informed strategy for addressing surge capacity and optimizing resource utilization.

Outcome:

• Ability to simulate new hardware platforms to determine if an increase would create a CPU bottleneck or other slowdown
• Ability to identify underutilized resources and simulate consolidation before making purchase recommendations

Before State: Database servers that are unused or unoptimized are costly to IT teams.

BMC Solution & After State: BMC Helix Continuous Optimization allows teams to analyze usage on AIX Logical Partition and run "what-if" models against the workload, which can help appropriately size for optimum CPU.

Outcome:

• Reduction in Logical Partition (LPAR) footprint also causes a reduction in AIX Frame requirement
• Ability to analyze data and run “what-if” models based on the environment
• Ability to make recommendations on resizing options that can reduce license costs

Before State: Manual refreshes of Salesforce development and sandbox environments at BMC were error-prone, leading to delays that adversely impacted application delivery timelines.

Impact: The manual refreshes of SFDC development and sandbox environments was error-prone, introducing inconsistencies and issues. This caused delays, directly impacting application delivery timelines and creating challenges for the development team.

BMC Solution & After State: BMC addressed the error-prone and time-consuming manual refreshes of SFDC development and sandbox environments by implementing an automated solution using Control-M custom web services, command line interface (CLI) options, Application Integrator, and workload automation functionality

Outcome:

• 500+ hours per year of system administrative overhead eliminated
• 6,000 hours per year of Salesforce developer productivity improvement
• Fully automated notifications
• Reduced refresh timelines and increased development agility

Before State: Manual tasks in the software delivery process slow down delivery, impeding scalability, and thus leaving the team unable to respond quickly to threats and opportunities. This also created bottlenecks in the overall delivery timeline.

Impact: The manual nature of the delivery process resulted in a slowdown, directly affecting scalability and responsiveness. The team faced challenges in adapting quickly to changing circumstances, limiting their ability to seize opportunities and respond effectively to emerging threats.

BMC Solution & After State: BMC implemented Control-M, streamlining the continuous integration/continuous delivery (CI/CD) process. This allows for streamlined package and build, security scanning, deployment, and automated testing.

Outcome:

• 12,000 administrative hours per year avoided
• 1,500 more deployments per year possible with automation 
• 7,000 hours per year of productivity improved
• Increased efficiency and productivity, reduction of manual errors, and fully automated testing

Before State: Administrative processes migrating Oracle Application Object Library (AOL) from environment to environment resulted in decreased developer productivity.

Impact: The reliance on manual processes for AOL migration resulted in decreased developer productivity. Administrative workloads increased, creating delays and inefficiencies in the migration process, ultimately affecting the development team's ability to deliver timely and high-quality results.

BMC Solution & After State: Control-M self-service capability was implemented to automate migration of the AOL from environment to environment, enabling faster feedback cycles and reduced administrative workload on developers.

Outcome:

• 12x faster end-to-end migration completion
• 400+ hours per year saved in work order fulfillment
• Improved auditing, compliance, accuracy, and consistency

Before State: MicroStrategy reporting creates duplicate caches of data, giving inconsistent views and resulting in confused and frustrated users.

Impact: The presence of duplicate caches in MicroStrategy reporting created inconsistencies and frustrated users, undermining the data's reliability and hindering the effectiveness of analytics. This inconsistency had the potential to introduce business risks associated with decisions based on conflicting information.

BMC Solution & After State: BMC addressed this challenge by implementing Control-M to systematically clean up duplicate caches of data. This solution ensured that users were provided with a more consistent and reliable dataset for their analytics needs.

Outcome:

• 200 hours per year of administrative effort eliminated
• Increase in customer centricity and customer retention
• Reduced business risk due to conflicted data