// END-USER INSIGHT //
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WE ’ VE ACHIEVED
FURTHER REDUCTION SINCE THEN
THROUGH INTRODUCING
VARIOUS EFFICIENCY
IMPROVEMENTS TO THE DATA WAREHOUSE AND OUR PIPELINES .
improved performance that ’ s enabled things like being able to separately provision resources for different user groups ’ general performance improvements . And then the redesign of the warehouse itself , the structure of the warehouse and the data that sits on it is not necessarily a Snowflake thing but having a platform that is as performant and cost-effective as Snowflake has allowed us to do things that were probably costprohibitive previously . And that generally enables data sharing across the board . It can therefore be said to contribute to a culture shift in terms of just data-driven decision making more broadly .
That being said , the data warehouse sits behind the scenes for a lot of people in there . And you do get users who don ’ t really know the difference between the data warehouse and Tableau , for example , and who are not necessarily going to understand what the cause of the improved performance is . They ’ ll just see that data is suddenly more accessible and more available for them .
How will the migration help Deputy grow ?
Migrating to Snowflake has resulted in two big things that support Deputy ’ s growth . Scalability is one . We ’ ve talked about the improved costeffectiveness and improved ability to allocate resources for specific purposes . Those two things are pretty critical in enabling scalability and the use of data .
And the second one is interoperability . And that refers to the ease of integrating different data sources . Snowflake Data Sharing in particular , I would call out here as a service that we can use to make data more available to us internally , as well as if we want to provide a service even for our own customers , to see the data that they ’ re generating through use of our product .
What are the organisation ’ s plans for using data to derive business insights and contribute to overall goals and investment plans ?
The progression of data maturity inside of Deputy is , on the lowest level , just making data available for reporting . So having access to a set of numbers in a dashboard , or some other way , that tells you the state of the business as they exist today – that ’ s the minimum , so you just have a window into what ’ s going on . The next step is identifying what are the points of leverage , where applying that data can contribute to better decision making in a high-impact way and having dedicated teams of analysts , or other people who are knowledgeable about interpreting data contribute to making those decisions .
The third stage is making data itself a source of value for the business . So , can we directly monetise data ? Can we incorporate it as part of the product ? That ’ s probably more difficult and has more requirements in terms of enabling real-time and complexity of the analysis and models that go into generating that value for customers . A bit more complexity in terms of security considerations , but it ’ s probably the final stage that we would look to . �
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