Wohlig delivers business reports to its client while optimizing data ops cost using Hevo

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About Wohlig

Wohlig is a firm that provides technology consulting services to alter the way clients perceive technology and enables them to leverage the constantly evolving digital revolution. Their primary goal is to offer clients a flexible shift in perspective using cutting-edge technology, innovative solutions, ongoing research into emerging trends, and adaptable operational procedures.

What do they do What do they do?
None
Industry Industry
IT Services
Location Location
India

Wohlig is a technology consultancy that assists clients in maximizing their business efficiency, reducing costs, and staying ahead of the curve through their technological expertise. They have a client in the fantasy sports industry, striving to become the premier online platform by offering user-friendly means of wagering on various matches and depositing monies.

Wohlig assisted the fantasy sports platform in developing new features and maintaining the product. As the partnership progressed, the client's leadership wanted to establish an analytics division to gain a better understanding of how their users are interacting on the platform and to delve deeper into the data that they had already collected.

Darsh, a business analyst from Wohlig, worked with the fantasy sports company to achieve their goal. Darsh and his team mirrored all the company data from MongoDB to Snowflake using Hevo to create BI reports. In the process, Darsh also unlocked a new use case in which he read a significant proportion of product data from Snowflake itself to save a lot of costs.

Darsh shares his experience of using Hevo to move the client's data to generate their business reports and discover an inventive use case that optimized the client's data operation expenses. This achievement helped him become the champion for his client and help them derive business growth.

The Solution

Darsh chose Hevo to effortlessly mirror the complete client data from MongoDB to Snowflake, including product, marketing, sales, and other business data, due to Hevo's scalable architecture and automated schema mapping capabilities.

He then connected Power BI to Snowflake, enabling him to create self-serving reports for the client's leadership teams and departments like sales and marketing.

Everything and anything that is a requirement other than a feature development then has to go to Snowflake or a tertiary database to decide in the future. And that will only be possible through Hevo. It's like that bridge that you need to cross the ocean.

Darsh Murarka, Data Analyst, Wohlig Transformations

However, this was only the beginning for Darsh. He discovered a new use case to leverage the centralized data at Snowflake, and started reading product dashboard data from Snowflake instead of MongoDB. For example, he fetched the data for the customer wallet balance dashboard, which includes the overall financial statement of customer activity, from Snowflake.

This resulted in lower costs for querying product data and faster processing. They have already shifted 40+ production product API calls from MongoDB to Snowflake, with plans to shift more.

Product dashboards are crucial for an online betting app, as even a single record can significantly impact calculations. Thanks to Hevo's 99.9% data accuracy, zero data loss, and low latency, Darsh confidently made this transition and delivered more value to the client. 

Key Results

Darsh is extremely impressed with Hevo's ability to automatically maintain consistent schema changes. If not for Hevo, Darsh's team would have needed to assign 15 engineers solely to monitor and implement these schema changes. He is confident that he can concentrate on other important tasks and rely on Hevo to keep their data schemas up-to-date without any need for manual intervention.

Switching from MongoDB to Snowflake to read the product dashboard's data saved a whopping 20% in data ops costs!

With Snowflake, querying for data became more efficient and cost-effective. The first time they ran a query, it took about 7-10 seconds to get results. But with each subsequent query, the fetch time dropped to a mere 10 milliseconds by the third run!

I'm able to work with their term efficiently and will be able to bring more value onto the table, and every such innovation or development would have a direct impact at an organizational level

Darsh Murarka, Data Analyst, Wohlig Transformations

After witnessing the impressive results Hevo delivered for its fantasy sports platform client, Wohlig plans to start integrating this same approach for all its other clients. With the level of support and assistance they provided, Darsh is confident that they could achieve similar success for their other clients as well.

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