© 2019 Baltic Amadeus

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BIG DATA AND ANALYTICS DEVELOPMENT SERVICES

Innovate together with Baltic Amadeus

 

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 

OUR SOLUTION

 

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

USE CASES

Single customer view

Most companies use big data to collect customer data from internal and external resources to provide insights to improve customer service and help sales and marketing to achieve their goals. Knowing your customer and timely decisions help increase revenue and margins without the guesswork.

Internet of Things

There is a need for solutions that has the capacity to handle large and continuous streams of data generated from IoT devices. To enhance business processes it is mandatory to collect relevant and useful data.

Recommendation Engine

Collaborative and Content-Based filtering using artificial intelligence and machine learning algorithms is widely used in e-commerce applications. Segmenting similar customers and products help increase sales in an automated and proven way.

 
Fraud prevention

Using big data analytics for behavioral analysis and real-time detection will decrease financial losses for insurance companies and financial institutions without relying on slow human judgement or  sacrificing customer experience

Data Warehouse Offload

Reduce licensing fees and other costs by replacing or complimenting current enterprise data warehouse with an open source solution. 

Preventive Maintenance and Support

Collecting data from sensors within organization can help foresee and prevent production breakdowns, plan resources needed and decrease volumes of wasted materials. Streamlining operational efficiency helps maximize profits.

 

 

INDUSTRIES

 
Telecom

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.

Manufacturing

Stock forecasting, inventory management, procurement, supply chain management through Big Data analyticshelps ensure competitive advantage.

Healthcare

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.

Advertising

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.

Retail

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.

E-commerce

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.

Logistics

Last mile delivery route optimization by leveraging historical trip sheets and real-time statistics can result in  a sizable costs reduction in logistics expenditure.

Financial

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. 

 

CONTACT

BALTIC AMADEUS

Contact Us