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infrequently, then there is little a data product can add. In contrast, how a
sales team decides to discount for new customers is an area that may hap-
pen often and can be informed by an understanding of the long-term value
of the new customer.
The following prioritization process helps identify where to start:
1. Build a comprehensive list of processes, functions, and decision-points
that happen in your organization. You may want to start from the first
point you interact with a customer and trace all the interactions directly
or indirectly related to the customer. Consider functional areas such as
human resources, finance, supply chain, operations, and sales.
2. For each element, rate it on a scale of one to five for importance to the
success of your organizational goals. One means the element has little to
no impact on organizational success; five means it is a core and critical
decision.
3. For each element, rate it on a scale of one to five for the value better data
can bring to decisions. One means data brings little to no value to the
decision process; five means data always makes the difference between
good and bad decisions.
4. Plot all the elements in a chart, as shown in Figure 7-3.
Product
portfolio
Hiring
Marketing
spending
Travel
scheduling
Lunch
menu
Better decisions with data
FigureĀ 7-3 An approach for prioritizing data product needs
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