Nine quarters, three phases: how Cisco's Data Solutions & Insights capability moved from reporting foundations, through AI-assisted analytics, to persona-based, AI-enabled decisioning.
Early features centred on introducing ThoughtSpot AI-based self-service analytics, executive KPI metrics, data integration, security, asset management reporting, proactive issue support and operational reporting, establishing DSI as a central analytics capability supporting Device Experience with trusted reporting, early self-service analytics and business-facing dashboards.
The roadmap expanded into establishing standards around Snowflake data ingestion, data governance, Data Diet, DBT migration, Business Objects replacement, proactive support and stakeholder data requests, shifting DSI from reporting delivery into a more mature data product and operations capability, with stronger data foundations and reduced reporting risk.
Focus moved to a Power BI workspace audit, tripwire alerts, DBT ops integration, ThoughtSpot expansion, KPI dashboard simplification and Snowflake resiliency, improving reliability, scalability and adoption of analytics products while reducing manual effort, dashboard sprawl and operational risk.
Features focused on KPI consistency, strategic and operational dashboard updates, OS security compliance tracking, Mac data collection, ThoughtSpot adoption and removing GCP dependencies, strengthening DSI's role as a trusted decision-support function by improving KPI accuracy, simplifying data environments and supporting cross-platform operational insights.
The roadmap included data pipeline security, Aisera workflow integration, Insights Center KPI automation, a My Teams redesign, support case AI summaries and data quality analysis, beginning the move from traditional BI into AI-assisted analytics, automated executive insights and more proactive data quality management.
Major features included AI-enabled Support Case Q&A, the DSI Assistant, monthly case summarisation, Device Performance Score, a Data Quality KPI, crisis prevention and Laptop Performance-Based Refresh reasoning modules, creating the foundation for AI-enabled decision support, proactive insights and performance-based refresh recommendations.
Features focused on laptop refresh recommendations, forecasting, app utilisation discovery, Click2Chat KPI dashboards, DSI Assistant accuracy and the Snowflake Stage environment, expanding DSI into predictive and prescriptive analytics that supported better stock planning, laptop recommendation logic and service channel visibility.
The roadmap included Windows KPI AI summaries, support case and history table data quality KPIs, DSI Assistant resiliency, Laptop Performance-Based Refresh app utilisation, DBT Docs discovery, Fleet migration and AI-enabled dashboard creation, maturing the AI and refresh roadmap while improving data lineage, resiliency, observability and the speed to generate insight.
Features included Laptop Performance-Based Refresh persona profiles, Splunk device observability ingestion, laptop forecasting, app utilisation expansion, AI-enabled BI, Druva dashboards and continued data quality KPIs, moving toward a richer, persona-based decisioning model that combined performance, app usage, forecasting and AI-enabled analytics to improve refresh strategy and investment planning.