Multi-cloud services for the Global Financial Company
The project’s goal was to create a multi-cloud solution based on Amazon AWS and Alibaba clouds to allow our client entry with their services into the Chinese market.
Read more
Service
Data Analytics
Data analytics is a set of techniques and processes which allows to translate raw data into business value.
It involves using various tools to analyse both structured and unstructured data. Common methods include statistical analysis, machine learning, deep learning and advanced data visualization. The goal is to identify patterns, trends, and relationships within the data to improve business strategies or operational processes.
Experience smarter decisions with Data Analytics—turn raw data into actionable insights.
Data analytics is widely used across many industries like healthcare, finance, marketing etc. to solve problems like:
- Customer Segmentation – divide customers up based on common characteristic.
- Churn Prediction – detect which customers are likely to cut ties with your services or product before they actually do.
- Next Best Action – predict the next action that should be taken with a customer to boost sales or improve customer experience.
- Fraud Detection – identify suspicious activity to prevent fraudulent activities which could cause losses.
Benefits of Data Analytics
Good data analytics can benefit your business in many ways. It can bring first results in the short term, with benefits increasing over time.
In particular, data analytics can:
Our Approach
At Bluesoft we do not believe in one-size-fits-all approach. That is why we always try to tailor our solution to your specific business needs and technical requirements. We like to start with Minimum Viable Product (MVP) which allow us to learn more about your business, needs and most importantly about your data.
MVP usually proceeds as follows:
- We start with learning more about your company and needs. At this stage we study your data to assess whether the project is achievable. If not, we always try to find alternative approach, application or we explain what additional resources or data are required. This stage usually ends with an initial schedule and a description of the planned work.
- Regardless of the type of project, we always perform exploratory data analysis (EDA). This is the most important step, because it provides foundational understanding of the data. It helps in assessing data quality, revealing inconsistencies, missing values, and anomalies that must be addressed before building models. We always try to resolve all doubts and ambiguities through meetings with people who have relevant business knowledge.
- This stage is iterative; we test and evaluate many different approaches to find the best one. If difficulties arise, we return to EDA to find additional features or clarify problematic observations. Sometimes we ask if there are any additional data which could help us.
- We finalize our projects by presenting the results and providing pre-agreed metrics to assess the quality of the solution. In addition, we provide conclusions and recommendations for further development.
Understanding the Business problem and requirements
Preparing data
Exploratory Data Analytics (EDA)
Preparing a solution
Evaluation
Deployment
Service Scope
Case Studies
Our Data Analytics Projects
Explore our case studies to see how Data Analytics has transformed raw data into actionable insights, helping businesses uncover trends, optimize strategies, and drive success.
Volkswagen Financial Services invests in full business processes automation using UiPath RPA redirecting employees to work on more creative tasks
Increasing costs of business processes as well as technological debt in the form of repetitive manual steps caused the Bank’s interest in robotization.
Read more
Cloud Adoption General Design for global organization
Cloud adoption is not an easy task. It requires a well-thought strategy, clear goals, and proper reference guidelines. All teams starting from the business through security, operations to developers and architects have to work according to standard rules and towards common goals. For the British Council, we prepared a General Design document that helped the entire organization consistently transform their IT towards modern cloud-based solutions.
Read more
Frequently Asked Question
How can Data Analytics benefit my business?
It improves decision-making, customer understanding, efficiency, and operational processes by uncovering actionable insights.
How does Bluesoft tailor Data Analytics solutions?
We create customized solutions based on your specific business needs, starting with an MVP to better understand your data and objectives.
How do you ensure the quality of the delivered solution?
We present results with pre-agreed metrics, provide conclusions, and offer recommendations for further development.
How do you handle missing or inconsistent data?
We address data issues during EDA, resolving inconsistencies, filling gaps, and ensuring the data is reliable for analysis.
Do you offer end-to-end Data Analytics solutions?
Yes, we handle the entire process, from data preparation and analysis to model development, deployment, and monitoring.
What tools or technologies do you use for Data Analytics?
We use advanced tools and frameworks for machine learning, deep learning, statistical analysis, and visualization, tailored to client needs.
Blog
Experience the Expertise of the BlueSoft team: engineers at heart who understand both business and technology.
Find more about Data Excellence
Data Governance and Management
Empower Your Business with Seamless Data Governance Management! Addressing both processes with proper care and priority is a must for any organization looking to maximize value it gets out of its data assets.
Data Integration
Experience seamless Data Integration—unify your data for actionable insights. The process of combining data from different sources to provide a unified, consistent view of the data is called Data Integration.
Data-Driven Consulting
Data-Driven Consulting guides companies in adopting a data-driven approach by evaluating their existing practices and identifying opportunities for improvement.
DataOps
At Bluesoft, we see DataOps as a crucial enabler for businesses to unlock the full potential of their data by fostering collaboration between data producers and consumers while implementing robust automation and monitoring practices.
Data Platforms
Modern data platforms leverage advanced technologies like cloud computing, machine learning, and real-time analytics to handle the growing complexity and need for insight. This unified environment supports businesses in making informed decisions and driving innovation.
Data Intelligence
We understand the critical importance of Data Governance in today’s data-driven landscape. Our approach ensures that data quality, privacy, and compliance are prioritized, enabling clients to trust their data and utilize it effectively.
We build long-term partnerships with our clients:
Let’s discover what is possible
for your Business
With BlueSoft, you bring in the latest technology and benefit from experts that are eager to share their knowledge.
