Dominic Jainy stands at the forefront of the modern digital transformation era, bringing a sophisticated understanding of how artificial intelligence and blockchain intersect with core enterprise functions. With a career dedicated to streamlining complex IT architectures, he has a keen eye for identifying the bottlenecks that prevent businesses from reaching their full operational potential. In this discussion, Dominic sheds light on a common paradox in the ERP world: why organizations using the advanced Microsoft Dynamics 365 Business Central ecosystem still find themselves buried in manual spreadsheets. He explores the shift toward real-time data connectivity, the technical benchmarks of high-volume data processing, and how specific industries—like the fast-paced world of fashion—are reclaiming their time through smarter reporting integrations.
This conversation focuses on the transition from traditional, static data exports to a dynamic, refreshable reporting model. We delve into the performance metrics that allow for the analysis of tens of millions of rows directly in Excel and discuss why ease of use is the ultimate deciding factor for global ERP partners when selecting new tools for their clients.
Many finance and operations teams spend hours every month manually exporting data and reformatting spreadsheets just to get a clear picture of their performance. Why does this manual struggle persist even in companies using modern ERP systems like Dynamics 365 Business Central?
It is a classic case of what I call the “Excel Gravity.” No matter how powerful an ERP system is, the business world speaks the language of Excel because of its unmatched flexibility and the comfort of its grid-based logic. The struggle persists because standard reports or even high-level dashboards often lack the granular, ad-hoc malleability that a finance manager needs for a specific Monday morning meeting. When you are forced to export a file, you are essentially taking a “snapshot” that dies the moment a new transaction is posted in the system. This creates a cycle where teams are constantly chasing the tail of their data—copying, pasting, and re-validating—which not only eats up dozens of hours but also introduces a terrifying margin for human error. By the time the report is formatted and distributed, the information is already a reflection of the past rather than a tool for the present.
When looking at the technical side of these reporting challenges, how does a direct connection between Excel and the ERP change the actual workflow for a user who is used to the old “export and pray” method?
The shift is truly profound because it moves the user from being a data janitor to a data analyst. In the old workflow, you’d spend 80% of your time cleaning data and 20% looking for insights; with a solution like Exsion Reporting, those numbers are flipped. Instead of repeating a grueling five-step export process every Friday, you build your reporting definition once, and from then on, you simply hit a refresh button. It establishes a live umbilical cord to the Dynamics 365 Business Central tables, meaning the security permissions already set up in the ERP are respected, and the data flows in exactly where you need it. You no longer have to worry if you missed a column or if the “Value Entry” table was updated since your last export; the connection ensures that what you see in your spreadsheet is the absolute truth of the system at that exact second.
Performance is usually the biggest concern when people talk about pulling massive amounts of data into Excel. What has the real-world testing shown regarding the speed and scalability of this type of direct integration?
This is where the engineering under the hood really matters, as nobody wants to sit and watch a loading bar for half their lunch break. During testing with partners like Navtech Group, the benchmarks were quite eye-opening and pushed back against the myth that Excel can’t handle “big data” from an ERP. For instance, when pulling from the Value Entry table, we saw approximately 1 million rows of data load into Excel in just about 30 seconds. If you scale that up to a pivot table containing 3 million rows, you’re looking at a wait time of roughly 40 seconds. Even at the extreme end, processing over 50 million rows into a pivot table took just over two and a half minutes. Those numbers are critical because they prove you don’t need a separate, expensive data warehouse or an intermediate reporting layer to do heavy-duty analysis; you can stay within the environment you already know and still get high-performance results.
For a pan-European partner like Navtech Group, with two decades of experience across diverse regions like Bulgaria, Switzerland, and the Benelux, what was the specific “lightbulb moment” that convinced them to adopt this reporting approach?
Their realization happened at a “Dynamics Connect” event in Sofia, where they saw a live demonstration of how filter sets could be used to bridge the gap between complex ERP tables and a simple Excel interface. When you have been in the ERP space for over 20 years, you’ve seen every “magic” reporting tool under the sun, but most of them fail because they are too difficult for the end-user to maintain without calling a consultant. Navtech saw that their clients in retail, manufacturing, and pharmaceuticals were all hitting the same wall: they wanted the data fast, they wanted it in Excel, and they didn’t want to wait for an IT ticket to be resolved. The ability to build a complex report in minutes using a direct connection was the specific catalyst that made them realize they could offer their customers a way to get more value out of their Business Central investment immediately.
Can you walk us through a practical scenario, perhaps in a fast-moving sector like the fashion industry, where having this instantaneous data refresh makes a tangible difference in daily operations?
The fashion industry is a perfect example because the data is incredibly multidimensional and changes with the seasons. A single garment isn’t just an “item”; it has color codes, size charts, fabric compositions, and specific washing instructions, often stored across multiple, disparate Business Central tables. In a traditional setup, a product manager might have to run three different reports and manually VLOOKUP them together to create a simple catalog update or inventory check. With this direct integration, they can create one master Excel file that pulls from all those different tables simultaneously. When a new collection launches or a fabric detail changes, they don’t rebuild the sheet; they just click refresh. This ensures that the information being sent to customers or retail outlets is 10ed% accurate and current, which is vital when you’re dealing with rapidly changing global trends and supply chains.
Beyond just saving time, how does this shift the dynamic between a company and its ERP implementation partner?
It changes the relationship from one of “support and troubleshooting” to one of “strategic growth.” For a partner, the biggest headache is often being pulled into “reporting fires” where a customer’s custom-built spreadsheet has broken and they need a consultant to fix it. When a tool like Exsion is in place, the software itself handles the heavy lifting of the data connection and support. This allows the consultants to stop acting as expensive data entry assistants and start acting as business advisors. They can focus on helping the client optimize their operational workflows or expand into new markets, knowing that the reporting foundation is stable, secure, and, most importantly, owned by the business users themselves. It empowers the client to answer their own ad-hoc questions, which is the ultimate goal of any digital transformation project.
What is your forecast for the future of ERP reporting within the Microsoft ecosystem?
I believe we are heading toward a “frictionless data” era where the boundaries between the database and the user interface will virtually disappear. We will see a move away from static, standalone reporting tools in favor of “embedded agility,” where the familiar tools we use daily—like Excel—become powerful, real-time windows into the core of the business logic. As AI continues to mature, having this direct, clean line to ERP data will be the prerequisite for any company wanting to use predictive analytics; you cannot train a model or get an accurate forecast if your data is stuck in a manual export from last month. The organizations that win will be the ones that stop treating reporting as a monthly chore and start treating it as a continuous, automated stream of intelligence that informs every decision in real-time.