--- title: The Importance of Data for Business Intelligence description: Explore how integration centers boost BI by enabling real-time data access and fostering collaboration between BI and integration managers for AI success. image: https://blog.entiros.se/hubfs/Starlify%20Data%20Lakes.png --- [** Back to Entiros ](https://www.entiros.se) Mar 26, 2024 | [Entiros](https://blog.entiros.se/en/blog-media/topic/entiros) | [Integration](https://blog.entiros.se/en/blog-media/topic/integration) | [Business Intelligence](https://blog.entiros.se/en/blog-media/topic/business-intelligence) # The Importance of Data for Business Intelligence by [**Pierre Dahlman**](https://blog.entiros.se/en/blog-media/author/pierre-dahlman) [ ‹ Back to the listing ](https://blog.entiros.se/en/blog-media) Today, the Integration Center is working very well in describing its application networks and building integrations, and it has many different parties that need data. However, one department in the company needs data more than anyone else - the BI department.   The Business Intelligence department might sit with a data lake and a BI function. Many are still working with analytical BI, where one might look at the last week's data, the last month's data, and, in the best case, the last day's data. Very few are working with operational BI yet, meaning they don't understand what is happening in the reports. How do we act in our business right now to meet certain needs?![Starlify Data Lakes](https://blog.entiros.se/hs-fs/hubfs/Starlify%20Data%20Lakes.png?width=2560&height=1440&name=Starlify%20Data%20Lakes.png) The integration centers play an extremely important role here. The BI team needs more data than any other team, and they need current data. Therefore, it is necessary to supplement batch data loading with streaming data. New solutions are needed, for example, based on Kafka instead of using ETL tools.   What is particularly interesting now is that the BI team is not only working with business intelligence; they have started working with artificial intelligence, or AI. An extremely important aspect of this is the availability of data. You can only train a good model if you have data to train on. The companies that have not yet started collecting data in their data lakes will not have any data to train on. If we see the BI development continue as quickly as it is now, including the specific area of AI, there will be a watershed within maybe a year. The companies that have data to apply their AI on and those that do NOT have data to apply their AI on. And this will then be decided by not how good a BI product you have but how good an integration product you have. How much data have you transported from your application network to your BI team?   What is required of the BI team for this to happen? 1. They need to understand how the company's application network looks. 2. Where is data located? 3. What data are we transporting today? 4. What data SHOULD we be transporting today to be able to do better BI and even AI tomorrow?   BI and integration managers need to talk more to each other. This is about today's challenge of achieving operational BI and tomorrow's challenge of getting data to train on for the coming AI function. Otherwise, there will be no cognitive systems in the company. No data - no cognition. ### SUBSCRIBE TO OUR NEWSLETTER ## Related posts [ **Pierre Dahlman** | 2025-10-17 ### Entiros helps Montico build a business-ready AI agent with IT insight Business meets IT: Entiros connects AI agents to unlock digital acceleration at Montico How do you build a business-oriented AI agent with a [...] ** 3 min ** Entiros Integration Business Intelligence ](https://blog.entiros.se/en/blog-media/entiros-helps-montico-build-an-ai-agent) [ **Pierre Dahlman** | 2025-10-03 ### Entiros’ AI delivers over 10X faster in head-to-head test Breaking the black box When one of Sweden’s largest energy companies faced a critical migration project, they put two vendors to a side-by-s [...] ** 3 min ** Entiros Integration Business Intelligence ](https://blog.entiros.se/en/blog-media/entiros-ai-delivers-over-10x-faster-in-head-to-head-test) [ **Pierre Dahlman** | 2025-09-18 ### Contica chooses Entiros’ Certified Integrator and Starlify Contica takes integration to the next level with Certified integrator and Starlify We’re proud to announce that Contica is now using Certifi [...] ** 5 min ** Entiros Integration Business Intelligence ](https://blog.entiros.se/en/blog-media/contica-chooses-entiros) [** Back to Entiros ](https://www.entiros.se) Made with in Sweden **Visit us** Kungsgatan 20, SE-582 18 Linköping Storgatan 25, SE-573 32 Tranås **Email us** [info@entiros.se](mailto:info@entiros.se) **Call us** +46 (0)140 770 087 [![entiros-black](https://blog.entiros.se/hubfs/entiros-black.png "entiros-black")](https://www.entiros.se)