Team of AI experts & Big Data engineers
We are a team of AI experts & Big Data consultants who are helping companies move into the AI and machine learning-powered age with tailor-made solutions as well as with Digital Transformation consulting. Turn your data into valuable insights with our deep learning and machine learning solution’s help.
Cost reduction
Big data technologies such as Hadoop and cloud-based analytics bring significant cost advantages when it comes to storing large amounts of data – plus they can identify more efficient ways of doing business.
Faster, better decision making
With the speed of Hadoop and in-memory analytics, combined with the ability to analyze new sources of data, businesses are able to analyze information immediately – and make decisions based on what they’ve learned.
New products and services
With the ability to gauge customer needs and satisfaction through analytics comes the power to give customers what they want. Davenport points out that with big data analytics, more companies are creating new products to meet customers’ needs.
Why do you need data science services?
Data science consulting services help companies automatically extract knowledge and insights from various sources of big data.
Regardless of the industry or sector, your company operates in, in order to be able to make accurate and effective business decisions, you must base them on reliable observations and predictions.
The data science consulting team of experts will help you better understand your customers, personalize their service, automate and improve business processes using advanced data-based technologies.
Most companies record growing revenues and cost reductions thanks to the successful implementations of data science solutions.
How we can help you
Discover technologically advanced solutions suitable for your business. Invest in data science to turn your data into insights. Use the acquired information to make effective decisions and increase profits.
Big Data Analytics Services
to
Make a Big Difference
Big Data Analytics Services
to Make a Big DifferenceImprove customer experience
Data science consulting services will enable your company to:
Identify current trends
Build customer loyalty
Prevent errors before they occur
Offer personalized experience on e-commerce
Fraud detection
Fraud detection is one of the main areas of interest of any organization operating in the financial sector. Data science with AI technology offers an effective solution to reduce fraud.
Real-time predictive analytics – this data analytics application enables companies to identify potential fraud transactions and block them when unusual financial activity is detected. Thanks to this solution, companies can prevent numerous financial losses.
Risk management
Risk management is one of the key factors in finance. The potential risk is closely related to changes in policy, customer behaviour, market trends and competition strategies.
Thanks to data science applications, financial professionals can more accurately assess the creditworthiness of potential customers by analysing their data taking into consideration many aspects.
Identify opportunities for improvement
Thanks to data science solutions, proper tools, a technology stack, and an experienced team, your company will gain a complete understanding of what is happening in the company at the moment, as well as accurate predictions of what may happen in the near future.
With these insights, companies can introduce new product developments, implement innovative solutions and find new business development opportunities before other competitors could realize that.
Operations-related data science
The goal of operations-related data science and analysis is to use the tools and data provided by other data analysts, the data warehouse team, and the operational database to identify new opportunities for business improvement and optimization of operations.
The most popular areas of interest are logistics, production, supply chain, finance and human resources.
Cognitive computing development
The main purpose of this solution is obtaining all input data needed to power the model, creating data pipelines, accessing convenient data sources, conducting A/B tests, testing infrastructure.
Once these steps are successfully completed, the focus shifts to building actual algorithms or models. Knowledge of industry-standard tools and statistical techniques is essential.
Cloud & distributed computing
The purpose of implementing cloud and distributed computing is to have the required and distributed infrastructure for data analysis and data science. It allows companies to easily scale big data applications.
Additionally, cloud technologies allow for safe system integration with current applications and micro services architecture.
Data mining & statistical analysis
Data mining and statistical analysis are based on the use of statistics in the form of exploratory data analysis and predictive models. Their goal is to identify trends and patterns in data using existing data sources.
It enables entrepreneurs to take a business problem and turn it into a question for data, create predictive models to answer this question and obtain in-depth information about the results.
Technologies
We Always Try To Understand Users Expectation
Entrust Your Big Data Project to Professionals
Having solid experience in rendering big data services, BMDS is ready to help you achieve your big data objectives for increased business efficiency and enhanced decision-making.