First-Party Data at Soft2Bet: How Central Storage Builds One Data Infrastructure

Every session on an iGaming platform leaves data behind, and its value depends on where that data lands and how it joins the rest. Soft2Bet collects this first-party data inside its own technology platform. Those records begin in separate internal systems, and Soft2Bet joins them into one place so no function works from a partial view. Central storage holds the combined sets, standardization gives them a shared format, and a single data infrastructure carries the result into the processes that draw on it. Real-time analytics turn that foundation into figures analysts can act on. Each step keeps Soft2Bet working from one current version of its own data.

One Shared Foundation for Soft2Bet’s Separate Modules
Collecting the records is only the first step, because they do not arrive in one place. The Soft2Bet platform is modular, with PAM, CRM, and CMS as distinct modules. Each module captures its own part of the same activity.
Before the move to a cloud architecture, those records sat in separate data sources, which limited access to real-time insight and slowed decisions. Soft2Bet joined the sources in a cloud data platform, so figures from different systems now sit in one shared foundation. With that foundation in place, Soft2Bet can now connect as many new data sources as it needs, and each one feeds the same shared view.
Central Storage That Grows with the Data
A shared foundation needs somewhere to keep the combined sets as they grow. Soft2Bet stores its data in cloud services, with scalable object storage and managed databases, so one location now holds what once sat in scattered systems. One location is also one place to protect, and the cloud data platform manages the combined sources securely. Soft2Bet’s cloud migration lifted the scaling limits of the earlier setup, so its central storage now grows with the data it receives.
Standard Formats and Real-Time Analytics at Soft2Bet
Records in the central store still carry the formats of the systems that produced them, since each system names and dates its fields in its own way. Standardization brings field names, definitions, and timestamps to a common form, so figures from one system can sit next to those from another.
Soft2Bet standardizes the combined data before analysis, which lets its real-time analytics run across the whole set at once. A common format lets operators on the Soft2Bet platform export data through APIs or connect it to a data warehouse for further modeling.
One Data Infrastructure for Every Operational Process
Standardized and stored in one place, the data becomes a single infrastructure the whole company can draw on. Soft2Bet runs this shared foundation as the base for many operational processes at once, from updating the game library to forecasting demand and planning new releases. Product decisions, library updates, and demand forecasts all read from a single set of figures, so two functions looking at the same question work from the same record.
A process that pulls from its own private copy of the data works from a version no one else can check. Shared figures can be checked by every function that reads them, because all of them read the same source. That infrastructure also shortens the work of bringing partners on board. After the cloud migration, partner onboarding time at Soft2Bet fell by 70%.
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