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Unlocking Business Intelligence with Tacton CPQ and Google BigQuery
Your CPQ system is sitting on a goldmine of data. Every quote, every product configuration, and every customer interaction holds valuable information that, if used strategically, can reveal patterns, predict trends, and drive better business decisions. Yet, many companies struggle to extract these insights from their CPQ data, leaving valuable opportunities unexplored.
This is where business intelligence (BI) integration with tools like Google BigQuery comes in. With Tacton CPQ, a powerful product configurator, and Google BigQuery’s robust data storage and processing capabilities, companies can unlock their CPQ data and transform it into actionable insights. In this article, we’ll explore how the integration between Tacton CPQ and BigQuery works, what kinds of insights it can deliver, and how cpq.se’s shared-cost model makes it affordable for organizations of all sizes.
Why CPQ Data is So Valuable
CPQ (Configure, Price, Quote) systems capture a wealth of sales and product data that holds the potential to improve decision-making at every level. Information on the configurations that customers choose, the prices they accept, and the deals that succeed or fail provides insights into product demand, pricing effectiveness, and customer preferences.
However, the data stored in CPQ systems like Tacton CPQ is often complex and segmented. It might be scattered across different modules or stored in formats that are hard to access or analyze. BI solutions change the game by extracting this data, consolidating it, and making it easy to visualize, interpret, and act upon. With the Tacton CPQ and BigQuery integration, companies can finally put their CPQ data to work.
How Integration with Google BigQuery Works
The setup for integrating Tacton CPQ with Google BigQuery is both straightforward and scalable, designed to handle large datasets while keeping costs in check. Here’s how it works:
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Data Extraction from Tacton CPQ: The integration uses a customized code that extracts data from Tacton CPQ every six hours, ensuring that the BI solution has up-to-date information without overloading the CPQ system.
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Storage in Google BigQuery: Extracted data is stored in Google BigQuery, a cloud-based data warehouse known for handling large datasets and complex queries. BigQuery is highly scalable and charges based on data storage and query usage, making it cost-effective for both large and small businesses.
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Data Analysis and Visualization with Google Looker Studio: Google Looker Studio (formerly Data Studio) connects seamlessly with BigQuery, allowing companies to create custom dashboards and visualizations. Looker Studio dashboards can show trends in product configurations, analyze sales patterns, and break down deal performance, all in an easy-to-read, interactive format.
By integrating Tacton CPQ with BigQuery, companies gain the ability to access and analyze their CPQ data with a level of depth and flexibility that was previously out of reach.
Actionable Insights with Google Looker Studio
Once Tacton CPQ data is in BigQuery, it becomes a powerful source of insights. Google Looker Studio allows users to create customized dashboards that transform raw data into visual reports, helping teams quickly interpret and act on trends. Here are a few key insights companies can gain:
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Product and Configuration Trends: Track which product configurations are popular with customers and which options are consistently selected. This insight can guide product development and ensure that high-demand configurations are always available.
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Sales Performance by Deal Type: Analyze which types of deals close at the highest rates and which ones require frequent discounting or adjustments. This data can inform pricing strategies, helping companies increase profitability.
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Win-Loss Analysis: Understand the reasons behind lost deals and use these insights to refine sales tactics, product offerings, or pricing strategies. Knowing why deals are won or lost is critical for continuous improvement in the sales process.
Google Looker Studio dashboards make these insights accessible across departments, from sales and marketing to product development. Teams can tailor dashboards to display the metrics that matter most to their goals, making it easier to stay aligned and data-driven.
Benefits of cpq.se’s Shared-Cost Model
Developing a custom BI solution from scratch can be cost-prohibitive, especially for mid-sized companies. However, cpq.se offers this integration as part of a shared-cost model. By pooling resources across multiple customers, cpq.se provides a powerful, pre-built BI solution at a fraction of the typical cost. This model allows companies to benefit from the insights of BI without the expense of a full custom development project.
With the shared-cost approach, cpq.se can continue to improve and update the integration as needed, with all participating customers receiving updates and enhancements. This approach ensures that the solution remains relevant, robust, and in line with the latest BI capabilities, without requiring each customer to pay for individual improvements.
Getting Started with BI in CPQ
Implementing BI with Tacton CPQ and Google BigQuery doesn’t have to be a daunting task. cpq.se estimates that the initial setup requires around 100 hours, which includes data extraction configuration, BigQuery setup, and a starter dashboard in Looker Studio. Monthly costs for BigQuery are low, typically around €30-€100 depending on the volume of data.
One critical factor to consider is data quality. Like any BI solution, the accuracy of the insights you gain depends on the accuracy of your input data. cpq.se recommends taking the time to review your data in Tacton CPQ, addressing issues such as outdated records or inconsistent configurations, to ensure clean and reliable data feeds into BigQuery.
With cpq.se’s support, setup is fast and straightforward, allowing companies to begin deriving insights and seeing returns on their investment almost immediately.
Integrating Tacton CPQ with Google BigQuery unlocks valuable business intelligence capabilities that drive smarter, data-driven decision-making across the organization. From tracking product trends to understanding why deals succeed or fail, BI turns raw CPQ data into actionable insights that directly impact the bottom line. And with cpq.se’s shared-cost model, BI is now within reach for companies of all sizes.
Ready to transform your CPQ data into a source of competitive advantage? Learn more about our CPQ and BI services here or book a virtual coffee with Magnus or Patrik at cpq.se to explore how BI can drive your business forward.
