Striving for cost-effective BI
Business Intelligence remains a key investment area for many companies. Today, to survive in a highly competitive environment, organizations have to deal with bulk business-critical data that previously was not even recognized as important.
The nature, volume and dynamics of that data often make traditional BI tools ineffective or useless at all. That is why businesses expand their BI facilities to leverage data mining techniques to identify valuable information, support decision making and enhance business intelligence in general.
Such smart BI solutions require expensive investments into both software implementation and hardware infrastructure, which is hardly acceptable for enterprises and becomes almost unavailable for smaller businesses. And this is where cloud-based SaaS becomes a perfect option.
Big data analytics on demand
Our customer — a pioneer in SaaS BI — was inspired by the idea of providing big data analytics on demand.
The company planned to launch a brand new software for predictive and sentiment analysis that would overcome the major challenges of big data processing. It was targeted to assist retail and logistics companies in testing statistical models, revealing dependencies between various business parameters, and forecasting decision impact.
Time-to-market goals were vital for our client to stay ahead of the competition in a rapidly changing BI domain and cutting-edge cloud technologies. The project had tight time frame thus requiring intensive development, agile project management and precise coordination.
The company engaged Itransition as a mature technology partner to deliver SaaS product that would enable analytical processing of bulk data uploaded online. Assuming that the application deals with huge data arrays in on-demand mode, high performance and scalability were crucial requirements. The objective should have been resolved by carefully designed solution architecture optimized for cloud development.