BENEFITS FOR YOUR BUSINESS
Retain data longer and identify strategic opportunities for growth
Data is a new currency and storage is relatively cheap. Even if there is no business case for certain data type today - it will be considered as lost irreversibly when the need for trend and historical analysis arises and no data is present.
Scalable solution to secure ROI
There is no need to invest and meet proprietary system limitations when ROI is expected. Timely scalability secures that you have all what is needed at the time needed.
Security and compliance
Consolidate insights from payment, supply chain and logistics, procurement, marketing and sales, HR, and more
Avoid vendor lock-in and stay flexible
In current market even best infrastructure vendors can become outpaced in just a few years. When building a data driven company strategy it is mandatory to be able to change, adapt and choose vendors fit for the task irrespective if it’s infrastructure or service provider.
Continuous availability and Real time responsiveness
In a fast paced market decisions should be made based on current conditions and not days old data irrespectively if it’s the amount of new data or changes of business logic.
Optimized for higher performance
Proactive and predictive support
HOW WE WORK
Infrastructure and Data Assessment
Proof of Concept (POC) setup
Platform deployment and setup
Support, Reporting and Business Intelligence
BALTIC AMADEUS BUSINESS INTELLIGENCE TEAM
Big Data Strategy Architects
Classic EDW Support Engineers
Senior Data Scientists and Math Phd's
Skilled analysts and software engineers
Using big data analytics to forecast network capacity/demand accurately and preventing customer churn by monitoring decreasing service usage are just some of many cases how telco operators can lower their expenses and increase earnings.
Stock forecasting, inventory management, procurement, supply chain management through Big Data analyticshelps ensure competitive advantage.
The goal of the industry is to prevent the development of certain conditions and diseases in early stages which is only possible by monitoring patient‘s health status continuously. Identifying patterns in health status can help high-risk patients and offer them customized care.
Targeted and more relevant advertising, personalized recommendations and content is more appealing to the right audience. Fine tuned message using more data typically reflects a more effective campaign.
Processing transaction data can provide meaningful insights into customer segments based on purchasing habits which in turn can be used to drive sales and cross-sell new products or services.
Developing buyer personas to determine customer preferences can increase loyalty and having per-product strategy for thousands of products in stock is possible with big data.
Last mile delivery route optimization by leveraging historical trip sheets and real-time statistics can result in a sizable costs reduction in logistics expenditure.
Credit scoring, fraud and crime prevention, automated trading are just few of big data use cases that can be implementetwith big data analytics within vast amounts of data within financial industry.