IT and Information Systems

Get the Most Efficient Way of Data Management with Automated SaaS Solutions

Adopting Trocco allows for the seamless creation and management of your data platform, by passing the need for extensive system development. By automating data extraction and integration, it tailors to the specific needs of different business units. This approach ensures organization-wide data accessibility, removing the inefficiency of handling data requests individually.

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Key Features

Utilise Trocco to best of your needs

From source to destination, our core functionality automates the extract and load replication process for all of our connectors, so you can enjoy total pipeline peace of mind.

Centralized Data Integration Hub

Trocco streamline shandling of numerous data integration requests with a high-efficiency processing system, ensuring swift response times. It is designed to alleviatethe bottleneck caused by the influx of demands from multiple business departments, there by facilitating smoother and faster data integration andanalytics support, accelerating business processes.

Automated Data Platform Management

Trocco reduces operational costs associated with manual updates and pipeline management by implementing automation for your in-house data platforms. This feature significantly cuts down laborexpenses and time spent on configurations and troubleshooting pipeline failures, optimizing operational efficiency and reducing financial overhead.

Seamless Tool Integration Framework

Trocco offers a streamlined process for incorporating new tools into the data stack, minimizing the time and resources required for implementation and support. This framework is built to simplify the expansion of your data platform's capabilities, ensuring that adding cutting-edge tools and technologies.

Use Cases (how Trocco can help you)

Manage your Data Pipelines easily and Optimise your time and resources for data implementation effectively.

Utilize SaaS to build your data platform Deploy an automated data-driven environment for your organization

Trocco supports integration from over 100 different data sources, including CRM systems such as Salesforce and kintone, data warehouses such as BigQuery, Snowflake, and Redshift, and databases such as MySQL, PostgreSQL,Oracle DB.Build and automate your pipelines tailored to the requirements of each business department, significantly reducing development and operational costs. Trocco further helps in -

Remove the need for system development and significantly reduce operational requirements, leading to over a 90% reduction in the cost needed to build and manage your data platform.

Internal processing is handled by Trocco, freeing you from connector development and error handling.

Facilitate a data-driven company culture by building an environment where data is easily accessible by the departments that need it.

Voices of Success

Let's hear how TROCCO has transformed various data teams.

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We Utilized TROCCO for building our data analysis platform and enabled our business staff to independently aggregate and analyze data from any location, significantly speeding up business processes and supporting remote work. The integration with Google BigQuery and Tableau allowed us for the efficient processing of large datasets, exceeding 1 billion records, and visualizing insights. The platform was developed quickly, with a small team achieving the first release within three months, highlighting TROCCO's cost-effectiveness and ease of use. These capabilities contribute to a more agile, data-driven decision-making process across the company.

“The adoption of TROCCO significantly improved efficiency that halved the time for data analysis requests from a month to two weeks for our teams, thereby expediting decision-making and optimum utilization of resources. It also offered cost benefits by maintaining manageable implementation and operational expenses, facilitating the internalization of the data analysis platform without causing financial burdens. TROCCO's user-friendly GUI interface caters to both technical and non-technical users in our company, enhancing accessibility and minimizing the need for extensive specialized knowledge.”

“TROCCO addressed key issues for us by integrating disparate data sets and reducing the need for extensive data engineering manpower, thereby solving the challenges of incentive design for sales activities and technical manpower shortages. TROCCO met all quality, cost, delivery, and scope criteria, leading to a 30% increase in sales conversion rates for our company and freeing up three man-months of engineering time by eliminating the need for manual maintenance and operation. Additionally, it reduced the data linkage lead time to a quarter, facilitating a faster, more data-driven approach to business and sales strategy refinement.”

Global C2C Marketplace

co-founder of Vacature Via

“Trocco addressed key issues for us by integrating disparate data sets and reducing the need for extensive data engineering manpower, thereby solving the challenges of incentive design for sales activities and technical manpower shortages. Trocco met all quality, cost, delivery, and scope criteria, leading to a 30% increase in sales conversion rates for our company and freeing up three man-months of engineering time by eliminating the need for manual maintenance and operation. Additionally, it reduced the data linkage lead time to a quarter, facilitating a faster, more data-driven approach to business and sales strategy refinement.”

Biggest C2C Marketplace

co-founder of Vacature Via

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Lidwin Janson

co-founder of Vacature Via

Frequently Asked Questions

01.

How to fix the error that occurs when the transfer volume from BigQuery is too large

Note This is a machine-translated version of the original Japanese article. Please understand that some of the information contained on this page may be inaccurate. summary When specifying BigQuery as the transfer source, an error may occur if ...

02.

How to specify elements and extract values when an array is included in the source column JSON

Note This is a machine-translated version of the original Japanese article. Please understand that some of the information contained on this page may be inaccurate. summary If the JSON of the transfer source column contains an array and you wan...

03.

How to generate a webhook URL in Slack

Note This is a machine-translated version of the original Japanese article. Please understand that some of the information contained on this page may be inaccurate. summary Learn how to issue the webhook URL required for notifications to Slack....

04.

Is it possible to increase the transfer speed?

Note This is a machine-translated version of the original Japanese article. Please understand that some of the information contained on this page may be inaccurate. summary When specifying BigQuery as the transfer source, an error may occur if ...

05.

Do you support transfers from an on-premise environment?

Note This is a machine-translated version of the original Japanese article. Please understand that some of the information contained on this page may be inaccurate. summary When specifying BigQuery as the transfer source, an error may occur if ...

06.

Do you support transfers from an on-premise environment?

Note This is a machine-translated version of the original Japanese article. Please understand that some of the information contained on this page may be inaccurate. summary When specifying BigQuery as the transfer source, an error may occur if ...