Excellent analytics - great Insights
Lack of predictability of IP quality, IP delivery timescales or simply, what's the return on my verification investment?
Difficulties in scaling verification platform due to inadequate data accessibility or interpretation.
Difficulty in creating plausible business case to the Board for investment into verification methodology, people, tools and platform.
Am I spending enough, or too little?
Scarcity of data competence in teams
What are the fundementals needed to give you answers?
Baseline of your team's current "data insights" capability
Data strategy - Detailed data schema and frameworks for data architectures
Data & analytics development plan and resourcing
Predictive modelling to model necessary efficiency and effectiveness improvements needed
Advice and expertise - how to mobilize your data more efffectively
What problems are you trying to solve?
Mobilizing engineering data to create insights
Silicon Insights offer expertise in data schemas needed for verification methodology.
Data engineering frameworks for start-ups or more established engineering teams
Support for multiple database and analytics solutions (Postgres, Mongo, ELK, PowerBI, Metabase, Grafana etc.)
Generation of multiple verification datasets to model effectiveness and efficiency improvements to methodology and platform investments.
Analytic - Sim results by Testbench & clock runtime analysis - created in Grafana
Analytic - Sim results show clear case for shift left! Platform costs predicted. Created in Metabase
Analytic - Sim results show runtime by testbench - Created in Kibana
Analytic - Bug discovery in design testbenches over time, with project milestone markers - Created in PowerBI