Starting with Data Step 1: Identify Core Data Stores Begin by listing the primary data sources tied to the business functions you are investigating. While it may be unrealistic to catalog every possible data source within the company, the task becomes manageable by narrowing the focus to specific departments (e.g., customer service, marketing, legal) or broader goals (e.g., “increasing manufacturing efficiency” or “improving customer loyalty and cart value”). Step 2: Align Data with Business Processes For each data set, hypothesize how it might enhance or streamline business workflows. Consider questions like: By linking the data to these business use cases, you start to uncover the potential value of integrating data into key workflows. Step 3: Validate Business Cases with Experts Once you’ve identified how data could be valuable, collaborate with data scientists and subject matter experts (SMEs) to review and refine your hypotheses. Create a formal list of use cases that clearly outline how data, algorithms, and business workflows could come together to add value or automate a process. This ensures a practical approach for leveraging data to drive business outcomes. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more
