NSoft

Solution

Reviewing press reports and analyst ratings, NSoft investigated the market, and arrived at Vertica Analytics Platform. OpenText (formerly Vertica) was evaluated alongside other solutions that were deemed not stable, scalable, or mature enough to meet NSoft's requirements. With a small team, a simple set-up and maintenance was very important, as Džidić explains: “Because we didn't really know what our destination would be at that point, we needed a solution that was completely flexible in its licensing and deployment options. When we performed a proof-of-concept (POC) with support of local Vertica (now OpenText) partner Poslovna Inteligencija, Vertica (now OpenText) was the only solution to work straight out-of-the-box with an intuitive and user-friendly interface. We were excited by the possibilities of in-database machine learning and could see the potential for predictive modelling and forecasting.”

Although the POC was small-scale, NSoft was delighted to discover that Vertica Analytics Platform showed the same high performance once fully implemented. Vertica Analytics Platform integrates with many existing solutions, including leading data streaming technology Apache Kafka. For its data warehouse, NSoft chose data streaming rather than ETL processes. This way, pipeline data is enriched and transformed to ensure data compliance and quality. It also minimizes data cleansing overhead. Vertica Analytics Platform also integrates with Elastic search, an Open Source distributed search and analytics engine, for near real-time data insights.

Tableau is deployed as the main visualization solution, and Vertica Analytics Platform also links too many data sources, including MySQL, PostgreSQL, SQLite, CSV, etc. This was a key point for NSoft, as Džidić comments: “Vertica's (now OpenText) ease of integration and flexible deployment enabled us to implement a data warehouse solution without disrupting core product development. Instead, we built a new system which integrated completely with the existing one, and expanded this without impacting product plans.”

Advanced analytics are currently not common in the betting industry, but the NDS team has developed workflows that consume and digest huge amounts of data. This enables them to streamline dashboard generation into a selection of near real-time report packages offered to all customers and partners. NSoft also consults with customers to really understand their business, capture their Key Performance Indicators (KPIs), and build customized dashboards to support their data-driven decision making process. Through these near real-time reports, customers receive direct insight into players' behavior, which helps recruit new ones, as well as retaining existing ones. By identifying the reasons for player churn, NSoft provides customers with actionable insight to improve their business results and give players the best possible experience.

Based on our Vertica-driven (now OpenText) analyses and observations, we've made improvements to our virtual games which have led to greater product brand awareness, and far better player retention.

Results

One of the ways advanced analytics provides value is by improving the existing product portfolio. Through statistical analysis and testing product logic, malicious player behavior and positive player feedback is leveraged to improve the product experience. Džidić explains further: “Based on our Vertica-driven (now OpenText) analyses and observations, we've made improvements to our virtual games which have led to greater product brand awareness, and far better player retention.” With a four-year growth rate of 1,760 percent, NSoft is among the top five fastest growing tech companies in Central Europe. It has also been nominated for best betting company in three categories for the industry's leading B2B awards: EGR Global.

Džidić concludes: “Vertica (now OpenText) helps us provide better business results for our customers, and live up to our mission statement: ‘we will not provide data; we will provide value!'”

Vertica's (now OpenText) ease of integration and flexible deployment enabled us to implement a data warehouse solution without disrupting core product development. Instead, we built a new system which integrated completely with the existing one, and expanded this without impacting product plans.