Fragmented Visibility Conceals Risk and Stalls Business Innovation

Today's enterprises run on a complex web of automation spanning multiple schedulers, platforms, and environments. With 80% of companies using three or more automation platforms1Dimensional Research, How Too Many Obscure Automation Issues, 2023, this fragmentation creates silos that obscure dependencies and hide risk.

While basic observability and monitoring tools tell you what happened after a failure, they can't tell you what's about to happen or the true business impact. This leaves your teams in a constant state of reactive firefighting, leading to:

  • Unpredictable Service Delivery and Missed SLAs 

  • Increased Operational Risk and costly downtime (averaging over $1M per hour for large enterprises)

  • Wasted Resources and an inability to proactively optimize critical processes.

How Too Many Tools Obscure Automation Issues
ANALYST REPORT

How Too Many Tools Obscure Automation Issues

A Dimensional Research Global Survey of Security & IT Professionals and Executives

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THE ESSENTIALS

Automation Intelligence:
Advanced Analytics, Purpose-Built for Automation

To truly take control, you don’t need more monitoring; you need intelligence.

Automation Intelligence provides you with observability and so much more. It provides a unified view of your entire automation landscape, along with advanced analytics that enable you to analyze, predict, and optimize for business outcomes.

What is automation observability?

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Automation environments are extremely complex. At any given organization, there are often multiple automation tools and multiple vendors, with hundreds of thousands — if not millions — of individual jobs running every week. It’s essential to gain unified visibility and proactively manage your workload to keep critical processes humming happily.

What is SLA management for automation?

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Regardless of industry, automation tools play a critical role in business success. Service Level Agreements are often put in place to ensure that the business runs smoothly, maximizes its profits, and satisfies its customers.

Why is SLA management important for automation?

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By defining and monitoring SLAs for automated business processes, organizations gain the ability to measure and analyze past performance; monitor, alert, and act on today’s performance insights; and forecast future performance to minimize risk.

Why do you need a purpose-built solution for automation analytics?

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While tools like Splunk and Tableau provide data analysis and visualization, they have limited real-time monitoring, lack seamless integration, and limit proactive interaction with live data from enterprise automation solutions. AAI is a purpose-built solution for workload visualization and optimization with advanced SLA management and predictive analytics.

KEY BENEFITS

AAI: The Only Analytics Platform Purpose-Built for Automation

End-to-End Visualization

91%

of surveyed IT professionals want a more centralized view of workload automation across business and IT.2Dan Twing of EMA Research, Automation Intelligence: A Holistic View to Improve Business Outcomes, 2020

Move beyond tactical tasks and jobs to gain a holistic view of end-to-end business processes, while monitoring and optimizing them across complex interdependent systems and teams. AAI supports Automic Automation, AutoSys, CA 7, ESP, IBM Workload Automation, Control-M, Tidal, and Airflow.

Advanced SLA Management

85%

85% of surveyed IT professionals say they have had one or more SLA breaches in the last 12 months.3EMA, WLA Transformation Research, 2023

Ensure SLA delivery with smart alerting, dynamic and automated critical path visualization, and process dependency insight. Get SLA insight with role-based dashboards for workload teams, process owners, and executives, as well as customizable regulatory and compliance reporting.

Predictive Analytics

Know before you go

Find unseen impacts and dependencies across applications, platforms, and vendors.

Predict future performance issues and identify areas for optimization with an archive of historical contextual data and derived metrics combined with powerful proprietary statistical algorithms.

Data Insights on Business Impact

Everything you need in one place

Customizable insights dashboards include Audit History, Processing Load, Job Status, and more.

Gain actionable business insights from operational data generated by automated workflows. Provide service delivery managers, business process owners, and SRE leaders with dynamic, interactive, and shareable Data Insights that enable them to make informed decisions on optimizing automation strategies.

1. Dimensional Research, How Too Many Obscure Automation Issues, 2023
2. Dan Twing of EMA Research, Automation Intelligence: A Holistic View to Improve Business Outcomes, 2020
3. EMA, WLA Transformation Research, 2023

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