What are we really solving for?
We all know businesses today are swamped with data. Every click, every customer interaction, and every transaction generates mountains of information. Over the last two decades, technology has evolved dramatically to help us collect and store this data. We've built massive systems to house it and complex tools to sift through it. However, despite these advances, many companies still find it tough to leverage this data to foster growth and make improvements.
The Old Way
Traditionally, handling data in a business setting goes something like this:
Gathering Data: You pull information from everywhere—CRM tools, product analytics, marketing platforms, and spreadsheets.
Cleaning and Storing: You tidy up this data and store it in a centralized place like Snowflake or Redshift.
Building Insights: You then churn through this data with specialized tools. If you're code-savvy, you might use SQL; if not, perhaps a no-code tool or even good old pivot tables in spreadsheets.
Charting: From there, you produce various charts and graphs. These visuals are supposed to show what’s working, what isn’t, and indicate next steps, often ending up in BI dashboards for viewing.
Acting on Insights: When it’s time to act— let’s say, launching a targeted upsell campaign for enterprise customers or a specific ad campaign for a customer segment—you often need to leave these tables and charts behind. You might export a CSV or script some automation to move data into CRMs or ad platforms.
Evaluating and Iterating: Finally, to see if your efforts are bearing fruit, you start the whole process over again, adding new analyses to your dashboards as needed.
This approach is costs more than just money:
Details Get Lost: Switching tools can mean losing valuable insights.
Information Gets Stuck: Each department’s data ends up siloed, hindering collaboration.
Systems are Costly and Slow: Companies pour millions of dollars and months of engineering work into setting up and integrating these data tools.
Actions are Delayed: Disconnected tools make swift, informed actions difficult.
All this effort and expense often just leads to more complexity, particularly because many tools cater primarily to those with technical expertise, leaving others in the lurch.
The Airbook Way
Airbook offers a full-stack, seamless approach that bridges the gap from exploring insights to taking action. Imagine a single collaborative workspace that integrates pulling data from any source, jointly exploring insights using SQL or no-code options, building dashboards for presentations, and creating workflows to activate these insights across different tools and teams. And all of this comes in one intuitive, simple, affordable solution.
Consider this scenario: You’re the head of product at a tech startup. You’ve noticed that adoption rates for a new feature are disappointing, despite initial positive feedback.
With Airbook, you can quickly aggregate data from CRMs, product databases, and more to analyze user behavior and pinpoint why specific user segments aren't engaging. You can then seamlessly work with your marketing team to launch an in-app tutorial campaign to guide users on the benefits of the new feature, all without switching tools or waiting on technical support.
Our aim is to make working with data not just more straightforward but more connected, ensuring that insights lead directly to actions that drive growth.