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© Andrew Carruthers 2024
A. Carruthers, Tuning the Snowflake Data Cloud, https://doi.org/10.1007/979-8-8688-0379-6_9
CHAPTER 9
Client Expectations
This chapter covers how to tune your approach to client interactions. Reducing both cost
and time for your client is a key selling point of your products. Your client expectations
are critically important in delivering successful business outcomes.
Curated data products are the result of applying your organization’s intellectual
property to data to realize a commercial offering. I discussed the DIKW pyramid in
Chapter 8, showing the relationship between data, information, knowledge, and
wisdom; for more information, see
https://en.wikipedia.org/wiki/DIKW_pyramid
.
A simple example of a curated data product is extracting data marketplace revenue
figures from financial reports and showing trends over time. The intellectual property
could include identifying and collating the raw data from differently formatted company
reports, applying your bespoke logic, and then presenting information in a simple
manner showing the historical trends. You might enrich your report with relevant
supporting context such as links to each company website and then deliver your report
as part of a comprehensive market analysis to clients.
Many legacy source data sets are currently points in time only; that is, only the
current view of data is available, and the latest changes overwrite the current records.
Later in this chapter, I will discuss how to provide historical point-in-time reporting.
Many clients want the ability to re-create reports for any given time period. By utilizing
Snowflake’s built-in capability, you can serve up temporal data to provide this additional
commercial opportunity.
This chapter focuses on how you can deliver your curated data products to your
clients, preferably exceeding their expectations. Presenting a consistent, well-articulated
approach supported by a trusting relationship often results in increased sales. Also, a
happy customer consumes more and demands less from your support functions and can
help your organization through positive feedback and critiques.
In support of a “go to market” proposal, a data distribution strategy should address
multi-platform data interchange and cross-platform data sourcing for augmentation
to which Snowflake is a significant contributor. Your client experience may be wider