Sublime

User behavior analytics (click paths, engagement) Business analytics (active users, conversion rate, lifetime value, retention) Financial analytics (ASP, billings, time to close) Performance (load time, uptime) Operational costs (storage, hosting) Go‐to‐market costs (acquisition costs, cost of sales, programs) Sentiment (NPS, customer satisfaction,

management. Companies that manage BI as a portfolio have the opportunity to leverage BI infrastructure investments and technical experience across specific BI investments, thereby reducing costs and technical risk.

As part of a BI program effort, it is necessary to provide resources and funding for new supporting functions such as data management and meta-data management. Data management requirements can range from defining enterprise-level naming conventions, definitions, and business rules to ensuring standards of data quality.

numbers. Using a variety of approaches (TAM, cost savings, macro market trends), our goal is to build a compelling narrative to determine whether our metaphorical fish is swimming in a big enough pond.