Datamam

We had a clear goal, and Datamam handled the implementation well from the beginning. The project moved quickly and we didn’t need long meetings or too much back-and-forth, which we really appreciated. The work was organized and the delivery stayed consistent during the whole process. They understood what we needed from a business point of view and didn’t overcomplicate things with unnecessary steps. The outcome helped us speed up competitor research and made it easier to prepare campaigns and outreach using real data instead of manual checking. Overall it saved time for our team and made the workflow more efficient.

The cooperation was straightforward. We shared a list of components and what details we needed (price, supplier, availability), and Datamam delivered everything in a structured format. This saved us a lot of time because manual research takes many hours and it’s easy to lose track of sources. Having the data prepared in one place made it much easier to compare parts and make decisions for the build.

Working with Datamam was a smooth and well-organized process. From the start, the scope and deliverables were clearly defined, which made planning easier for us. The team followed the agreed timeline and was flexible when small adjustments were needed. Communication was straightforward and focused on practical results. Overall, the cooperation was reliable and the outcome was useful for management planning and pricing review.

Overall, working with Datamam felt quite practical and down‑to‑earth. We started with a short scoping discussion where they walked through our audit objectives and repeated them back in plain language, so it was clear we were aligned on what “market-facing pricing data” actually meant for our file. Communication during the project was efficient: short emails when they needed a decision, a quick call when something about plan or region mapping was unclear, and clear notes any time they refreshed or adjusted the dataset. Their custom platform itself was straightforward to use. We could filter pricing by plan, add-ons, region, and period, see how list prices and promotions changed over time, and export the tables directly into Excel for our own testing. Each line had timestamps and source links, which made documentation and tie-back much easier. We did have a few requests for additional cuts and slightly different groupings, and those were handled without a lot of back-and-forth.