Cost-effective data warehousing with Daton and Google BigQuery

Posted By: administrator
Posted On: 21 Nov 2019

Businesses these days are gravitating more and more towards the best of breed applications to fulfill specific requirements of their various business groups and as a result, creating data siloes. A cloud data warehouse is the right antidote for companies that are serious about growth.

The fast-paced digital marketplace presently generates a lot of information. The major portion of this raw data is obtained from various applications used by the business intelligence team.

Here are some examples of popular applications that support business functions:

Analytics: Google Analytics, Mixpanel, Heap Analytics to capture user behavior on websites.

Customer Service: Zendesk, Freshdesk, Service Now, Salesforce, etc.

Databases: Oracle, SQL Server, MySQL, IBM DB2, Mongo DB, etc.

Files: CSV, JSON, Parquet, XML etc

Marketing: Mailchimp, Klaviyo, Oracle Bronto, Sendgrid, etc

Marketing Automation: Listrak, Dot Digital, WebEngage, CleverTap, Eloqua, Marketo, etc

CRM: Salesforce, Freshsales, Pipedrive, Oracle Sales Cloud, 

As businesses grow, the need for looking deeper into their data and finding room for efficiencies increases. All the relevant information needs to be collected and unified. Business leaders often rely on analysts to do this job. However, not empowering analysts with the tools they need to hone their craft often results in sub-par results. Analysts end up spending most of their time doing work that is not generating any business value. This work, more specifically, the job of data aggregation is easily automated and that too at a fraction of the cost of what you pay an analyst.  

Here is an example scenario. 

Let’s say an analyst makes $5,000 a month and they spend 40% of their time on data gathering. Effectively, the business is spending $2,000 on data gathering every month. Compare that to the cost of Daton which starts at $150/Mo and eliminates entirely the efforts needed for data gathering. 

Imagine what else can an analyst do with the 40% of their time that they just got back by using Daton?

A data warehousing solution is a perfect solution for automating data aggregation. A cloud data warehouse acts as the consolidated data store for your heterogeneous data, to automatically archive all of your data, and to make your information easily accessible for the team of analysts. Google Bigquery is one of the most popular DBaaS services in the market today. It is a serverless, low-cost enterprise data warehouse. 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. 

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.

By leveraging Daton and BigQuery, analysts can completely eliminate the need for manual data gathering and focus their entire efforts on generating insights that can propel the business forward.

Sign up for a free trial of Daton and use this link to get free credits for Google BigQuery and kick-start your analytics practice today! If you have questions, our friendly data architects are here to clarify all of your questions.

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