What we offer
DICEUS helps businesses from various domains (banking, insurance, retail, healthcare, etc.) build robust data analytics solutions. Thus, organizations can gain powerful insights and intelligence to make more informed decisions based on data. Those insights also help companies improve operations, increase productivity, and take a more data-driven approach to their activities.
By harnessing the power of data more effectively, businesses can also gain competitive advantages over their rivals and improve customer satisfaction and loyalty over time. As an analytics services company, DICEUS helps customers develop data-driven approaches that bring significant long- and short-term benefits to businesses across all industries.
CX-driven approach to customer analytics
A CX-driven approach to customer analytics focuses on understanding and giving customers the desired experience. It implies understanding the customer’s needs and pain points for using that insight to drive business decisions and strategies that prioritize and empower the customer. A CX-driven approach to customer analytics helps foster customer loyalty by listening to their concerns and feedback and taking action to address those concerns. It can also drive innovation and new ways to enhance customer experiences in an ever-dynamic and changing business context.
Custom analytics solutions for financial services.
DICEUS creates custom analytics solutions to help banks and insurance companies better understand their customer behavior, pain points and issues, needs and preferences. We help improve the customer experience and create more personalized offers to retain loyalty and increase business growth. Our custom-made risk analytics solutions help assess the risks of assets or customers, allowing banks and insurance companies to make more informed decisions and risk-managed investments and protect themselves against losses or fraud.
Healthcare analysts solutions
We design and implement healthcare analytics solutions guiding healthcare organizations to become more data-driven in their approach to healthcare and patient care that can ultimately improve the quality of services and patient health outcomes. DICEUS delivers practical tools for analyzing data to improve medical practices and reduce costs. We also create data-analyzing solutions for research and development capable of tracking and managing population health and healthcare delivery and enhancing healthcare operations and management.
Custom analytics for retail and logistics
Data analytics for retail and logistics can provide valuable insight into customer behavior, purchasing patterns, and trends. Our solutions help make informed inventory, supply chains, and operations decisions. DICEUS develops custom data-analyzing tools to improve demand planning, supply chain tracking, and transport optimization. Our retail and logistics customers benefit significantly from enhanced efficiency and reduced waste when using our analytics solutions since they significantly foster inventory and supply chain management.
Business intelligence solutions
Business intelligence solutions provide comprehensive, real-time intelligence on business performance and operations. They include business intelligence platforms and tools like dashboards, reports, and analytics to help develop better business strategies driving continuous innovation. Our bespoke intelligence solutions provide insight into customer behavior and trends to improve marketing efforts and activities. DICEUS gives businesses a more holistic view of their performance, allowing them to make more data-driven decisions that boost revenue and increase profits.
Data analytics software for HR
When developing more effective HR strategies, DICEUS creates data analytics software for HR to analyze trends and patterns in human capital, employee behavior, and performance. Data analytics helps HR teams and managers make more informed and data-driven decisions about their people and operations. Our HR-oriented software includes various tools for talent and workforce analytics, as well as for workforce planning and management. It covers analytics on almost everything any HR specialist may need: recruitment, onboarding, training, retention, engagement, compensation, workforce culture and wellbeing, and people analytics overall.
Businesses should use data analytics because they are continuously exposed to big data flows that bring no value without understanding the data. Data analytics solutions help companies to optimize operations, increase efficiency and productivity, and identify opportunities and trends in data to improve business performance and outcomes over time.
Utilizing the advanced capabilities of our data analytics solutions, organizations achieve more significant customer growth and business expansion through data-driven planning and strategy. Well-organized and thoroughly processed data helps our customers build and cultivate trust and loyalty with their target audiences through more personalized and data-driven customer engagement and insights.
Benefits of DICEUS data analytics services
Data analytics greatly benefits various domains by providing a deep understanding of data. It helps businesses and organizations identify growth and expansion opportunities, improve and optimize their operations, and drive business decisions.
Advanced analytics services from DICEUS aim to optimize various business processes and provide insight into trends and patterns in customer engagement and behavior. Our data experts let customers refuse to guess to start knowing instead. And knowledge is the power that provides leadership.
Our achievements
How our data analytics consultants can help you
Data analytics can be complicated for non-professionals due to the specialized expertise required to analyze and leverage large amounts of data. The specifics of some data analytics processes and tools and the complexity and ambiguity of the data make it challenging to know how to extract valuable information from various data flows. Professional data analytics consultants from DICEUS turn those challenges into executable routines. They assist our customers in comprehensive data processing via the following:
What impacts your project duration
Although data analytics solutions are various and individually developed, there are several common factors affecting any project’s duration:
- The complexity of data to be analyzed
- Data management strategy
- Number of skilled data analysts
- Number of data sources and data flows
- Data warehousing facilities
What affects your project costs
Price offerings depend on many individual aspects of each project. At the same time, several factors able to affect your project costs are common and easily recognized:
- The project complexity
- Inadequate IT infrastructure for data analytics
- The project’s urgency
- The scope and range of data analytics services chosen
- The engagement model
What we need from your side
The timeline, costs, and quality of project completion become optimally balanced when a customer and a contractor can collaborate tightly. To establish such a collaboration, we expect our customers to provide us with the following:
- Project goals and a business strategy (if available)
- Access to data sources and flows to be involved
- Project-related documentation
- Project execution schedule and roadmap
- Communication sessions with customer stakeholders
Our tech stack
Explore our case studies
Frequently asked questions
How can data analytics services help in making better business decisions?
Companies and organizations that use data analytics services can make better business decisions by having a deeper understanding of their data. Data analysis helps uncover insights and patterns in data to make more informed business decisions, drive strategy, and shape and inform overall business performance and outcomes.
What types of data analytics techniques are commonly used in data analytics services?
Standard techniques used for data analytics services include business intelligence tools and platforms, statistical analysis, data modeling, artificial intelligence (AI) and machine learning (ML), data mining and visualization, predictive modeling, analytics of Big Data, decision support systems, customer analytics, supply chain analytics, fraud analytics, health and healthcare analytics, security and incident analytics, risk and threat analytics, and more.
How do data analytics services handle data privacy and security concerns?
Data analytics services can handle data privacy and security concerns through data classification and labeling, data tagging and redaction, security and permission controls, data backup and disaster recovery, encryption of data at rest, data anonymization and de-personalization, access and authorization control, data governance policies and procedures, and data deletion and destruction policies. Data analytics services can also help comply with data management and privacy-related regulations, frameworks, and policies such as GDPR, CCPA, HIPAA, etc.
