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As Software has eaten the world, every software company is becoming a SaaS Company, and every SaaS company has a massive volume of data. As organizations transition to data-driven decision-making, they require the adopted SaaS products to provide in-product analysis abilities or data API to support their thriving needs on data.
The benefits of such data products for the SaaS company are
You might have the same question in mind as me: What exactly is a data product?
As defined by DJ Patil, the U.S. Chief Data Scientist, a data product is " a product that facilitates an end goal through the use of data."
From my perspective, a data product can sometimes be the synonym of data application; for the general consumer, as we all experience in our daily life, it can be either a digital banking statement or a Covid-19 cases tracker like this one.
Through a data application or a data product, the end-users can consume the data within the proper context and easily make sense of the data.
Conceptually, depending on the user persona and the use cases, there are 4 different types of data products:
There are more examples to demonstrate different types of data products.
In this use case, the internal data team is the data product producer. Data engineers and analysts prepare the data pipeline and data model for business users to perform self-service analysis. And power analysts will design the canned dashboard for business owners and business stakeholders to view on a given frequency set.
Next, I will share some of the typical customer stories of different types of data product use cases.
AppZen overhauls the way finance teams work, automating spend approvals and providing insights that help finance auditor reduce spend, comply with policy, and streamline process. What AppZen achieved:
Combining Kyligence and Apache Superset, AppZen can provide rich self-service audit analytic dashboards and reports to the expense auditor. As a result, the auditor can now have visibility of expenses at all levels with summarized and detailed data consistency.
Strikingly is one of the best free website builders for anyone to create a gorgeous, mobile-friendly website easily. For the website builders, Strikingly provides Built-in Analytics, a Google Analytics-like website traffic analytics.
Strikingly Built-in analytics gives their end-user information about:
Kyligence helps Strikyling with:
In this blog, I explained my understanding of data products, four common use case, and how at Kyligence we help empower SaaS companies to provide their in-apps data product for their end-users.
If you are interested in the data product solution Kyligence provides, here is what you try as a next step
Reference & Credit:
 Simon O'Regan, Designing Data Products (2018), Medium.com
 Max Beauchemin, How the Modern Data Stack is Reshaping Data Engineering (2021), Preset.io
 Zhamak Dehghani, How to Move Beyond a Monolithic Data Lake to a Distributed Data Mesh (2019), martinfowler.com
 Mastermind Analytics from AppZen Provides Big and Small Picture on Spending (2020), AppZen [
5] Integrate Artifical Intelligence into Your Expense Audits & Systems, AppZen
 Experience AppZen: Expense Audit (2021), AppZen
 All You Need To Know About Your Website Stats (2021), Strikingly
 Using Your Strikingly Built-in Analytics (2021), Strikingly
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A detailed step-by-step guide on how to connect Excel to ClickHouse within Kyligence Tiered Storage and achieve sub-second query latencies.
The fact that OLAP software can be utilized to gather these big data insights is proof of its relevancy today. And it will continue to persist because, again, it is rooted in sound theory.
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