Empower your enterprise with a unified, data-driven strategy to simplify IT complexity, boost productivity, and drive business success
Managing modern enterprise IT environments, with their complex and distributed systems, is no easy feat. IT teams face a deluge of data as they seek insights to troubleshoot and optimize workplace technology, infrastructure, and end-user support. Meanwhile, CIOs must sift through various reports and dashboards to evaluate IT performance and ensure alignment with business goals.
Also Read:A Comprehensive Guide to DDoS Protection Strategies for Modern Enterprises
Having a Robust Data Strategy is Crucial
Each key area of IT — such as infrastructure, workplace technology, and support center — has its own unique data sources and reporting mechanisms. To harness the full potential of these data sources and achieve effective, data-driven IT management, a comprehensive data strategy must:
- Ensure data integrity: Cross-reference data sources to ensure that the information is accurate and reliable.
- Integrate data silos: Deliver information from diverse input sources to create a comprehensive context for understanding IT performance.
- Link IT performance to business outcomes: Establish connections between IT metrics and business functions to better grasp how IT impacts overall business success.
Despite the wealth of data available, a recent Earnst & Young study reveals that 35% of C-suite respondents in large organizations lack a data strategy, while 45% are only beginning to develop one.
If leveraging data for strategic planning and IT management is still on your to-do list, you will need:
- A unified, real-time view of IT operations
- Actionable insights from advanced analytics and experts for optimizing the entire IT landscape
- The necessary technology, teams, and partners to implement improvements
This is where Full Lifecycle Observability comes in. It empowers IT leaders with a comprehensive understanding of their IT environment — from sourcing to integration, support, and disposition. By leveraging AI, advanced analytics, and automation, data from multiple sources can be correlated and enhanced, providing meaningful context and actionable insights.
Making Full Lifecycle Observability Work (people + process + technology)
Successful implementation of Full Lifecycle Observability goes beyond simply acquiring AI and observability tools and platforms. It requires a cohesive framework that integrates the right data sources, technology, expertise, and processes. Advanced tools must be integrated with your infrastructure and workplace technologies to aggregate and contextualize various data types — metrics, traces, and logs — across multiple systems. By leveraging AI and machine learning, this framework can deliver:
- Automated anomaly detection
- Predictive analytics
- Root cause analysis
- User experience insights
These advanced analytics, combined with continuous improvement recommendations from skilled technicians — such as automation and orchestration — enable your team to transition from reactive to proactive IT management, ensuring an efficient IT environment poised for future demands.
One Dashboard to Rule Them All
“AIOps and observability are not just buzzwords…The principles that both these technologies and complimentary practices offer are the future of IT operations management because high-performance IT demands it. Embrace these technologies and practices to enable your organization to navigate the complexities of modern IT infrastructures and thrive in the digital age.” — Carlos Casanova, Principal Analyst, Forrester
At Compucom, we’ve developed our Full Lifecycle Observability Framework (FLO Framework) as an advancement of our Experience Management and AIOps capabilities. Rather than being a standalone product, it integrates with all our services, providing real-time AI-driven insights through a centralized dashboard.
This dashboard offers a comprehensive overview of your IT landscape, with drill-down capabilities to closely monitor systems and identify gaps and issues.
Our FLO Framework is designed to offer:
- Power of Choice: Select underlying tools that fit your needs and budget.
- Flexibility: Leverage your own tools, Compucom’s stack, or a mix of both.
- Customization: Tailor outputs beyond the constraints of platforms governed by strict tool partnerships.
Our primary goal is to simplify IT complexity and empower IT and business leaders to make proactive data-driven decisions.
Optimizing Your IT Landscape at Your Fingertips
Imagine starting your day looking at a clear, real-time overview of your IT environment’s performance, segmented into key areas such as Infrastructure, Workplace, Sourcing, and Employee Experience.
By selecting the Workplace module, for example, you can access performance indicators for your endpoint devices, along with tailored optimization suggestions for device right-sizing and health. Implementing these recommendations—such as automation or process improvements—will enhance your company’s digital employee experience, streamline operations, boost productivity, and reduce costs.
Compucom’s FLO Framework enhances every aspect of an IT ecosystem’s health and performance throughout its lifecycle, from sourcing and deployment to decommissioning.
We Are Customer One
Compucom is experiencing the transformative power of data and our FLO Framework firsthand. By integrating AI and orchestration tools, we use our FLO Framework to streamline IT operations, enhance employee productivity for our 6,500 associates, and reduce costs. As the CIO/CTO at Compucom, I recognized that being Customer One would strengthen our business and help us develop a better framework for our hundreds of customers.
Also Read: Secure with Simplicity: Why IT Teams Need Better Backup Processes
REAL-WORLD RESULTS
Our commitment to empowering enterprises is backed by tangible results, including:
- Smarter asset management and allocation: By identifying over- and under-provisioned devices by persona, our customer benefitted from $200K estimated annual savings ($1,000 per device)
- Reduced incident volume: Outage incident volume reduced by almost 90% and overall volume by close to 1/4 through correlation and enrichment of ticket data for a retail customer
- Reduced downtime: Automated troubleshooting and remediation of mission-critical Wireless Access Points helped a healthcare customer avoid downtime.
Empowering IT Decisions, Business Success
With the level of complexity of today’s enterprise IT environments, leveraging AI and Full Lifecycle Observability is essential for optimizing operations and driving business success. The FLO Framework helps deliver several key benefits to the enterprise, including:
- Data-Informed Decision Making: By providing a holistic view of your IT landscape and service performance across all technology layers, IT leaders can align IT initiatives with business outcomes, facilitating informed decisions on strategy, innovation, and operations.
- Greater Employee Productivity and Better Digital Employee Experience (DEX): Proactive monitoring and enhanced digital support elevate DEX, resulting in higher user satisfaction and increased productivity.
- Improved IT Efficiency and Lower Costs: Advanced analytics and a top-down view of your IT environment simplify complexity, empowering IT teams to gain insights into their infrastructure and take effective actions.
Embracing Full Lifecycle Observability enables your organization to effectively navigate the complexities of modern IT and positions you for sustained growth and success.
