Houseware helps customers build data apps with Powered by Fivetran

Houseware provides a platform and toolkit for its customers to build internal data products.
“Fivetran has allowed us to not worry about orchestration or configuring Airflow. We can focus on making sure the data transformations are useful and the metrics are accurate.” — Shubhankar Srivastava, Co-founder, Houseware


Background:

  • Industry: Software Development
  • Company Size: <20
  • Departments supported: Sales, Marketing, Customer Support
  • Sources: Salesforce, Stripe, Outreach, Pipedrive, Amplitude, Apache Kafka, Google Analytics, Intercom, Segment, Hubspot, MongoDB, PostgreSQL
  • Destination: Snowflake, BigQuery
  • Additional components: dbt Core

Houseware provides a platform and toolkit for its customers to build internal data products that go beyond the scope of general analytics and data visualization tools. Instead of providing its users with tables, rows, columns, schemas—which is what’s exposed in most BI tools—Houseware delivers metrics. Examples of metrics include ARR, NRR, customer churn, conversion rate, and other KPIs familiar to almost every business.

Most importantly, the data applications that Houseware users build are designed to address the problem that every BI tool promises to solve but rarely does: data-informed action.

Shopping behavior triggers targeted emails to be sent to buyers, support tickets tell sales reps which accounts need attention so customer churn can be reduced, actions taken by users inside a product activate custom experiences to be delivered to users.

These are the types of data applications and workflows that are enabled by the Houseware platform.

Interact with this guided demo app


Before Fivetran

  • Lack of data insight, reliability and availability 
  • Inefficient marketing campaigns and ad spend
  • Inability to turn data into customer retention optimizations 
  • Decreased trust in data due to errors
Joining tables used to take two to three days of effort before Fivetran, but now can be done in three to four hours.

Negative consequences

  • Users had to learn data analytics tools and database methods, such as table joins, and develop custom metrics from scratch
  • Data dashboards and analytics often broke down, took too long to produce results, or required too much custom programming
  • Poor APIs and data pipelines limited the types of analytics that developers could construct to meet customer needs
  • Tools produced insights without any actionable recommendations
  • Building data connectors required lots of programming time and effort


Fivetran solution

  • Powered by Fivetran enables Houseware customers to easily connect their data to the Houseware platform 
  • More than 200 pre-built data connectors with comprehensive documentation 
  • Integration with dbt to automate data transformation processes
  • Free 14 day for each new connector Houseware adds to its implementation
  • Support for handling data at scale with well-crafted APIs that Houseware can build their product on top of
“During our proof of concept, Fivetran had tremendous proactive support and was able to predict usage and pricing on scaled-up volumes before we actually experienced that level of usage.” — Shubhankar Srivastava, Co-founder, Houseware


Outcomes

  • Customers can quickly turn interesting data insights into actionable and operational results
  • Using the language of metrics and templates rather than rows and columns makes data analysis more approachable and actionable
  • Free trials enable Houseware to build attractive proof of concepts for new customers
  • Houseware can build tools to enable follow-up sales calls based on actual product usage
  • Data access is no longer the limiting factor in building custom data analytics apps
  • Much shorter time to value when creating data-driven applications
  • Ability to leverage numerous data integrations using Fivetran Connect Cards and GitHub endpoints that work with legacy products as well as older (and less-capable) APIs
“Fivetran cares about the trust and reliability of its data connectors and puts them at the center of their business. That translates into trust from our customers as they move through their own data journeys.” — Shubhankar Srivastava, Co-founder, Houseware


Required capabilities

  • A solution that allowed developers to create apps without deep technical knowledge of data source APIs
  • Wide collection of data integration APIs and connectors needed to cover various client software tool configurations
  • Being able to easily interpret and understand customer trends revealed by data patterns
  • Being able to adapt workflows to different client and customer needs in how they obtain and process their data
  • Save on data engineering/devops labor costs through massive automation of common tasks, especially at scaling up their customer base
  • Build a solid platform that can be used in the future as the basis for a customer self-service portal

Get started with Powered by Fivetran today.

Start for free

Join the thousands of companies using Fivetran to centralize and transform their data.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Houseware helps customers build data apps with Powered by Fivetran

Company size
0-499
Region
North America
Industry
B2B technology
Key results
  • Reduced time to join tables from days to hours 
  • Removed data access limitations, enabling faster creation and quicker time to value for custom data analytics apps
  • Enhanced customer experience by enabling Houseware customers to effortlessly connect their data and swiftly turn insights into actionable outcomes
“Fivetran has allowed us to not worry about orchestration or configuring Airflow. We can focus on making sure the data transformations are useful and the metrics are accurate.”
— Shubhankar Srivastava, Co-founder, Houseware

Houseware provides a platform and toolkit for its customers to build internal data products that go beyond the scope of general analytics and data visualization tools. Instead of providing its users with tables, rows, columns, schemas—which is what’s exposed in most BI tools—Houseware delivers metrics. Examples of metrics include ARR, NRR, customer churn, conversion rate, and other KPIs familiar to almost every business.

Most importantly, the data applications that Houseware users build are designed to address the problem that every BI tool promises to solve but rarely does: data-informed action.

Shopping behavior triggers targeted emails to be sent to buyers, support tickets tell sales reps which accounts need attention so customer churn can be reduced, actions taken by users inside a product activate custom experiences to be delivered to users.

These are the types of data applications and workflows that are enabled by the Houseware platform.

Interact with this guided demo app


Before Fivetran

  • Lack of data insight, reliability and availability 
  • Inefficient marketing campaigns and ad spend
  • Inability to turn data into customer retention optimizations 
  • Decreased trust in data due to errors
Joining tables used to take two to three days of effort before Fivetran, but now can be done in three to four hours.

Negative consequences

  • Users had to learn data analytics tools and database methods, such as table joins, and develop custom metrics from scratch
  • Data dashboards and analytics often broke down, took too long to produce results, or required too much custom programming
  • Poor APIs and data pipelines limited the types of analytics that developers could construct to meet customer needs
  • Tools produced insights without any actionable recommendations
  • Building data connectors required lots of programming time and effort

Fivetran solution

  • Powered by Fivetran enables Houseware customers to easily connect their data to the Houseware platform 
  • More than 200 pre-built data connectors with comprehensive documentation 
  • Integration with dbt to automate data transformation processes
  • Free 14 day for each new connector Houseware adds to its implementation
  • Support for handling data at scale with well-crafted APIs that Houseware can build their product on top of
“During our proof of concept, Fivetran had tremendous proactive support and was able to predict usage and pricing on scaled-up volumes before we actually experienced that level of usage.”
Shubhankar Srivastava, Co-founder, Houseware

Outcomes

  • Customers can quickly turn interesting data insights into actionable and operational results
  • Using the language of metrics and templates rather than rows and columns makes data analysis more approachable and actionable
  • Free trials enable Houseware to build attractive proof of concepts for new customers
  • Houseware can build tools to enable follow-up sales calls based on actual product usage
  • Data access is no longer the limiting factor in building custom data analytics apps
  • Much shorter time to value when creating data-driven applications
  • Ability to leverage numerous data integrations using Fivetran Connect Cards and GitHub endpoints that work with legacy products as well as older (and less-capable) APIs
“Fivetran cares about the trust and reliability of its data connectors and puts them at the center of their business. That translates into trust from our customers as they move through their own data journeys.”
Shubhankar Srivastava, Co-founder, Houseware

Required capabilities

  • A solution that allowed developers to create apps without deep technical knowledge of data source APIs
  • Wide collection of data integration APIs and connectors needed to cover various client software tool configurations
  • Being able to easily interpret and understand customer trends revealed by data patterns
  • Being able to adapt workflows to different client and customer needs in how they obtain and process their data
  • Save on data engineering/devops labor costs through massive automation of common tasks, especially at scaling up their customer base
  • Build a solid platform that can be used in the future as the basis for a customer self-service portal

Get started with Powered by Fivetran today.

[CTA_MODULE]

The total economic impact of Fivetran

Learn how automated data movement boosts productivity and accelerates insights for your business.

Download the report
Are you a true data pioneer?

Our quiz will tell you where you are on your data journey and what tools you can unlock to level up.

Take the quiz
Why they chose Fivetran

Further reading
No items found.
No items found.
Related customer stories
Case study

Trinny London achieves up to £260K in savings with Fivetran

Case study

National Australia Bank enhances customer experiences and powers GenAI

Case study

Envision Pharma Group and Fivetran: Pioneering faster paths in pharma

Case study

Raiffeisen Bank International uses real-time data to win more customers

Case study

Saks achieves data efficiency and enables AI with Fivetran

Case study

Cemex connects 1,800+ global facilities in real-time

Case study

Gill Capital unlocks SAP data with Fivetran, boosts sales by 25%

Case study

HubSpot powers GenAI, saves $100,000 with Fivetran

Case study

Deliveroo turns food delivery into a data-driven enterprise

Case study

Paylocity transforms its go-to-market strategy with Fivetran

Let's get you moving data