This eBook explains that business analytics success depends on making a series of practical choices that start well before any dashboard build: identify and document where enterprise data lives and which sources matter, establish data quality ownership and a clear system of record to avoid “garbage in, garbage out,” and digitize missing data so insights are complete. It also emphasizes balancing analytics with human judgement, selecting tools based on business needs and skills rather than assuming one size fits all, and treating cost as relative to long-term growth and savings. It notes many teams lack data science specialists, so modern tools must empower analysts and knowledgeable business users, and it flags integration and time-to-value as key constraints, advocating cloud options when

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