How to Build Cross-Functional Status Reports Without Manual Data Pulls
Every week, it’s the same picture. You have three tabs open, manually pulling status updates from your engineering tool, your CRM, and your roadmap tool before you can even build the report stakeholders need. Then, you need to feed all that data into a spreadsheet or a BI tool. Some of these tools have built-in connections to pull data, but maybe they don’t pull all the data they need, or the export cadence doesn’t match your reporting cadence. Either way, you’re stuck manually exporting data every week to keep stakeholders in the loop.
Reporting isn’t the real timesink. Pulling data is. But it doesn’t have to be that way.
Why manual data pulls still happen
The average organization uses 106 SaaS apps, according to BetterCloud data. Even organizations with robust integration strategies still have gaps, which tend to cluster in workflows that weren’t prioritized for integration in the first place. Reporting workflows often fall in that category. Instead of having dedicated integration solutions that meet all your criteria, you’re expected to patch together manual data pulls into a report stakeholders can consult in a spreadsheet or BI tool.
Let’s look at an example of this. It starts at 9am on a Friday, when a team lead needs to start working on a report for a stakeholder meeting the following Monday. They open tabs for every tool they need to pull data from. By noon, they’ve identified the tools and the data they need, and they’re ready to make their exports. But when they get back from lunch, a sudden update (e.g., a stalled project, an influx of new business) completely changes that data. Any exports they made are outdated, and the rest have to be set up all over again. They have to pull all that data again, re-check it against what’s changed, and hope nothing else changes before they’re done. By the time 3pm rolls around, they need to put the actual report together, importing data into their tool of choice. When it’s time to leave the office, they have a report finalized, but they haven’t had time to analyze it, validate their data, or draft their conclusions. That will all have to be done Monday morning, if it even gets done at all.
The tools used in your reporting workflows are often less likely to have the built-in integrations you need. Tools like Jira have built-in integrations for platforms like GitHub and Azure DevOps, since software teams expect to switch back and forth between them. Similarly, project management tools like Asana often integrate natively with other project management tools. But pairing Jira and Tableau? Or Salesforce and ServiceNow? Built-in integrations might not be available at all. And, when they are, they might not cut it. So you’re left with no other option but manually exporting and cleaning CSV files from three or more tools to get all the data you need in your BI tool of choice.
Even organizations with multiple integration platforms in their tool stack still have to pull data manually. This is especially true in reporting workflows.
Why BI tools don’t solve this
Most business intelligence tools have many built-in integrations for popular tools, from CRMs like Salesforce to marketing data tools like Google Analytics. They even allow developers to build custom integrations with API access, patching gaps in their integration library. But both of these approaches share a problem: they rely on data that’s already collected and structured.
Imagine a marketing team that uses Tableau to represent everything from their customer acquisition cost to qualified leads. That information comes from platforms like Salesforce, HubSpot, Google Analytics, and Pipedrive. Tableau might have built-in integrations for each of these tools, allowing it to pull data from each one. But what happens when you have conflicting data in two tools? Or duplicates? Or, if you find an issue with your data you need to investigate further, do you know where to start looking?
BI tools handle real-time data well, as long as you’re only pulling from the sources their built-in integrations cover. But few teams work so narrowly, leading to visibility gaps throughout your tool stack.
Your BI tool is the endpoint for your data. But in the same way that throwing three lanes of traffic into a single-lane highway leads to a traffic jam, pushing data from multiple tools into one platform without the right architecture creates more problems than it solves.
The sync-layer architecture
The best way to build the architecture you need to streamline and automate your reporting workflows is a two-way sync. Unlike other integration solutions, a two-way sync builds a permanent relationship between work items in different tools, automatically replicating changes you make, copying work items you create manually, and updating statuses as you work.
Two-way sync tools like Unito can pair a data source with a reporting layer, whether that’s a spreadsheet or a BI tool, using a single flow. That means you can connect multiple tools to a single report with a few flows instead of the dozens of automations a workflow automation tool would require.
Imagine an engineering leader that needs to build a report covering shifting priorities in ProductPlan, software work in Jira, and user stories detailed in Salesforce cases. That report is built in Google Sheets, from where it’s shared with multiple stakeholders. With a two-way sync solution, each data source is paired with that spreadsheet using a flow. Three flows, three connections. Changes in ProductPlan, like a de-prioritized feature, are synced right to your spreadsheet. Similarly, new user stories in Salesforce are automatically recreated in Google Sheets as new rows, where you can review them and consider them in your strategic planning. And, because it’s a two-way sync, you can make comments and changes in Google Sheets that are automatically replicated in source tools. No need to do any investigative work when a specific user story or initiative doesn’t make sense. You can check up on it all within your report. From the operational side, that means you only need to set up three connections to keep data flowing between three tools; they take minutes to set up and little maintenance.
Better yet, no manual data pulls. It all runs automatically in the background after you set it up. Your reporting workflow becomes “open Google Sheets” rather than scrambling to pull and reconcile data from multiple tools every week.
Can sync platforms create a unified view for cross-functional status reports?
When you start looking into using a sync platform like Unito to get a single unified view on three or more tools at once, you might find advice out there that says it isn’t possible, that tools like Unito can create three-way syncs between your tools.
That’s technically true.
Tools like Unito don’t create three-way syncs between tools A, B, and C. They create two-way syncs between tools A and B, B and C, as well as A and C. But that doesn’t mean you can’t create a single unified view for cross-functional status reports. If tool C is your reporting tool, you can still sync all the data you need to it by pairing tools A and C, and B and C. Your data still lands in your reporting tool.
Digistore24 is a full-service online sales platform provider. Their product team works in Jira, and a content marketing manager had to manually rewrite tickets from Jira to ClickUp to create more visibility for the team. Feature requests were separately shared in Slack, but they’d just get lost in the noise. That’s why Digistore24 uses Unito to connect ClickUp, Jira, and Slack to create automated reporting and oversight. All without a single three-way sync.
The benefits of fully automated data pulls
When you use a two-way sync platform to automate the data pulls for your reporting, you unlock significant benefits for leadership, managers, and individual team members. Benefits like:
- Time reallocation: Manual data pulls eat up focus time every week. With the right integration, you can eliminate hours of wasted time spent exporting data, copying and pasting work items, and reconciling across tools. That time can then go to deeper analysis and better decision-making.
- Data freshness: A manual data export is outdated the moment it’s created. It captures a snapshot of what your tool’s data looked like at a specific point in time; it doesn’t capture any changes made after that. Even if you were to export data every day, your exports would be outdated. An automated data pull, powered by a two-way sync, is always up to date.
- Reduce reconciliation errors: Manually cross-referencing data across multiple systems introduces the risk of errors, whether due to manual data entry or specific data points being missed in one tool. Integrations eliminate these risks.
- Consistency across reporting cycles: Integrations pull the same data the same way every time. Manual processes tend to drift, leading to mistakes or inaccurate reports.
- Scalability: Manual data pulls eventually become impossible as you scale. There are too many data sources and too many reports for anyone to manage it all manually. Integrations scale with your needs.
- Earlier risk visibility: A continuous reporting workflow, powered by the right integration, gives you real-time data on your projects and responsibilities. That means everything from slipping deadlines to stalled deals and sprints falling behind can be spotted before they lead to bigger issues.
Automate your data pulls and get better reports
You don’t need to rely on manual data pulls for your reports. Even if you’re building reports with multiple data sources, a two-way sync solution can build relationships between your tools and can completely automate data exports and create real-time dashboards. From there, you can feed that data to your BI tools, your spreadsheets, or any other platform you need for reporting.
Instead of scrambling to get reports done on a Friday, you can just check in on real-time dashboards whenever you need them, live during a presentation or meeting. That doesn’t just free up time; it makes data more accessible to everyone in your organization, which could surface solutions to your more complex problems.
Ready to see this in action?
Book a product demo and see what Unito integrations can do for your reporting workflows.
FAQ: Manual data pulls
Can a sync tool replace a BI tool like Tableau or Power BI?
The goal of a sync tool isn’t to replace your BI tool, it’s to build better data architecture. A two-way sync tool centralizes data from multiple tools into a single reporting layer, whether that’s a spreadsheet or a BI tool. Because it’s two-way, any updates made in either your reports or data sources are updated automatically in the other tool. That means your BI tools pull data automatically from a single clean source rather than needing you to manually pull data from multiple platforms.
Do roadmap tools need native integrations to prevent manual data pulls?
While native integrations with popular product management and software engineering tools like Jira and Azure DevOps can make it easier to pull data, they’re not your only option. Two-way sync platforms, for example, can build reliable flows that keep data up to date in your roadmap tool without manual data pulls.
How is a two-way sync different from exporting CSVs?
Exporting a CSV usually requires at least some manual intervention, whether it’s in triggering the actual export or scheduling in advance. Additionally, CSVs give you a snapshot of the data in one tool, which becomes outdated the moment it’s created. A two-way sync keeps a constant, live relationship between multiple tools, so they’re always up to date as you work. That makes it better for ongoing reporting.
What happens if a custom field changes in one of the source tools?
This depends on the tool you use to manage your reporting workflows. If you’re using CSV exports, your data will be outdated until your next export accounts for the custom field change. If you’re using a one-way automation platform, the automation might break until you address the change. A two-way sync platform can account for these changes and keep data flowing.