ETL your product, customer service, and marketing data into a data warehouse today and analyze starting tomorrow.
It is a common practice for business users to rely on the reporting capabilities provided along with the application they are using for customer service, product, analytics, and more. However, these reporting tools have limitations because they don’t allow users to slice and dice these reports and create custom views of data for deeper analysis.
In addition to this, these reporting tools don’t often allow users to drill down into a particular dataset and explore the data set in further detail. Historical analysis of data is totally out of question. The end result is that when analysts are asked to analyze data from these systems, they run reports, export that data into a spreadsheet and then create the necessaries data slices that the business requires. This process is not only time consuming, but it is also very inefficient.
- How effectively are you leveraging your product customer service and marketing data today?
- Are they manually pulling the data together in spreadsheets and then trying to manipulate the data in a spreadsheet?
- Is this process repeated every time there is a need for the same analysis to be performed?
- Are you needing historical performance analysis from these systems?
With the rise in cloud data warehousing technology and data pipelines like Daton, analysts can easily pipe data from these systems to your data warehouse with just the click of a few buttons.
Watch the video below to get a quick view of how easy it is to use Daton and pipe data to a BigQuery data warehouse in a matter of minutes.
What used to take months and hundreds of thousands of dollars until just a few years back only takes a few minutes and a few hundred dollars today.
If you have questions, our friendly data architects are here to clarify all of your questions. Contact Us