Data is now widely used in almost any function and in all industries, but many decision makers are not really confident in the data they use. Nor that they can derive actionable information from it.
The value of a data platform is in transforming data into information that the business can use.
Trust in the information supporting enterprise wide decisions is essential.
We guide our customers to achieve trust in their information by transforming the raw data into information in a rigorous, audit-able way, while being agile and capitalising on the existing analytical skill in the company.
A 2020 study by Trifacta [1] found that 75% of C level executives are not confident in the quality of their data.
This is concerning because of the already wide and ever increasing use of data.
Having this problem despite the huge amount of investment in data platforms means that just throwing money and time at it is not enough, and a radical shift needs to be done.
We propose to shift data platform development from art to industry, very much like the general software development industry has, in the last 10 years, with the DevOps movement.
You can call it DataOps if you like buzzwords.
The signature mark of modern software development is the adoption of automation and best practices to put the development team at the center and enable the team components to focus on delivering the solution and guaranteeing its robustness, while minimising the work on menial tasks.
Our data platform automation development, based on open tools and cloud database like Snowflake, incorporates the following enablers for an industrial level result:
The advantages for our customers fall in these categories:
This is our proposed road to information driven decision making.
Agile and business centric, rooted in strong software engineering best practices and automation.
If you are interested in the topic, please follow our live workshop that we presented at the Data Innovation Summit in 2020 or ask us for a demo.
Video content:
Roberto Zagni
Principal Consultant @ Kaito Insights
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[1] Obstacles to AI & Analytics Adoption in The Cloud
https://www.trifacta.com/resource-library/cloud-ai-adoption-survey/?thanks=true