Updated on by Hayley Brown
Data is everywhere, whether it is customer data, product, or employee the list can be somewhat never ending. It can therefore be overwhelming trying to not only collect data but to collate it into a single unified source. Especially without integrations.
Data is crucial for any business due to its ability to influence business decisions. As well as your product development, marketing and sales functionality, and so on. Using data tools and integrating them with applications you already own can help standardise and automate your data collection. Then present it all in one place.
What are data tools?
Data tools help to consolidate data across multiple applications. With data integrations you can build workflows that combine the data from multiple sources into a single unified view.
The applications come with useful embeddable features for real-time reporting, and data exploration. They are often scalable platforms that grow as you do with reliable security and version control.
As well as data management and governance. Ensuring standardisation and consistent data. These applications also feature useful data visualisation aspects. Usually in the form of charts, maps and diagrams helping users to interpret and communicate the data received.
Popular Data Tool Connectors
Typical Data Tool Integrations
Using an embedded iPaaS can help your SaaS ecosystem collect, and collate your data. It can also retrieve data from multiple applications all at once with useful integrations. The integrations can be used for monitoring, issue tracking, or receiving timely notifications. As well as providing an in-depth analysis of your product, customers usage, and so on.
Data Tools and Collaboration
Integrating data tools with collaboration applications such as GitHub, Jira and Campfire are useful. This is due to the ability to track and monitor changes made. As well as triggering new tasks for team members when an event has arisen in the data tool. This aids your app development.
Examples Collaboration and Data Tool Integrations
- Create new documents for new files in collaboration application
- Update existing issues with new information when received
- Create issues from triggered alerts in your data tool
Data Tools and Support
Building automated workflows with data tools is especially useful in regards to customer support. Integrations with the likes of Zendesk, and Trello can allow you to track and report any issues experienced within your SaaS application.
For instance, tickets can be created in your support application when a new issue arises. Then an event or document can be created in your data tool for continuous monitoring.
Examples Support and Data Tool Integrations
- Track new features from code changes
- Monitor and graph ticket count metrics by status, user, and satisfaction rating
- Create and update tickets using specific application mentions
Data Tools and CRM
Building integrations between your data applications and your CRM are valuable for monitoring customer information. These CRM integrations can greatly assist your sales team close deals by enhancing their knowledge of the prospect they are working with.
Examples CRM and Data Tool Integrations
- Create a new CRM lead from a new row in a spreadsheet
- Add a won CRM deal to spreadsheet with a calculated sales commission
- Set monitors on events in your CRM platform
Data Tools and Communication
Having communication integrations between your data applications helps stay on top of the latest data developments or changes. As notifications can be triggered for the likes of Slack, RSS and Servicenow when a new event has occurred.
Examples Communication and Data Tool Integrations
- Add new graphs to messaging channel
- Get notification messages for when new documents are added
- Add new events from custom sources to your stream
- Get notifications when new code changes have been made
Data Tools and Form/Survey
Implementing automated workflows for your data collection tools such as Typeform, with your data application can help to orchestrate your data. When a new form submission has been made a document can be added to your data tool. This can track or monitor the survey details and then send a notification of the new document.
Examples Support and Data Tool Integrations
- Create new documents from new form submissions
- Add new form entries as rows on a spreadsheet
- Add a new contact from a Contact Form 7 submission to a new row in a spreadsheet
Data tools are beneficial for your organization
Using and integrating data tools is advantageous to your organisation. This is because the data they collect provides you with a deeper understanding of your customers, product and market. They can also improve the quality of your customer database, improve their experience, and increase their lifetime value. The consumer data collated can also improve your other business strategies, such as your marketing and customer support. As it can allow for better personalisation, or improve customer support response times.
An embedded integration platform provides users with low code tools to orchestrate their data with third-party applications. Allowing you to build quick and reusable automated workflows to your data tools. Helping you to standardise business processes, remove manual tasks and improve the quality of your data through native integrations.