IT operational data is often spread across monitoring tools, applications and databases. This makes it harder to compare related information, investigate trends or build reporting from a consolidated view.
Analytics Plus brings these data sources together for dashboards, reporting, correlation and analysis. IT teams can use its anomaly detection, event analysis, narrative report insights and natural-language questions to examine operational data in more depth.
Analytics Plus is suited to analysing service costs alongside service quality and speed, building framework-specific dashboards from compliance metrics, and consolidating data from local or cloud databases. It also supports alert triage through correlation of data from multiple sources and scenario planning through forecasting algorithms.
Analytics Plus fits IT estates where relevant data is held across applications, monitoring tools and local or cloud databases. Supported database contexts include Oracle, IBM Informix, Amazon RDS, Amazon Redshift and Google Cloud.
Gives IT teams a consolidated basis for examining operational information from multiple sources.
Helps teams identify trends, correlations and anomalies in consolidated IT data.
Adds automated narrative insights to help readers interpret IT reports.
Correlates data from multiple sources to filter and triage alerts.
Create dashboards and reports from operational data held across IT systems.
Present compliance metrics in framework-specific dashboards for ongoing visibility.
Analyse service costs alongside service quality and speed.
Bring local and cloud database data into a consolidated IT analytics view.
Use forecasting algorithms to run simulations and support planning.