News!: Opus Technologies Launches FinGeniusAI Solutions – An Open Innovation Platform for Building Future-Ready Solutions.. Know More
News!: Opus Technologies Launches FinGeniusAI Solutions – An Open Innovation Platform for Building Future-Ready Solutions.. Know More

Data Analytics Services

Providing a Data-Driven Edge in the Competitive Business Landscape

Delivering innovation solutions in the payments industry for over 27+ years, Opus facilitates driving business decisions with advanced insights into payment trends, revenues, customer shopping behavior, risk profiles, and much more. Opus’ integrated data analytics services accelerate growth and improve customer satisfaction with targeted offerings and marketing.

Key Challenges Faced by Businesses in Leveraging Data Analytics

Customer Data Analytics Services
System Inefficient

Insufficient data and structure in data management to effectively build data analytics and visualizations

Error Message Display

Lack of centralized data lakes and an effective data extraction system

Down Fall Time

Inconsistencies in data collation and poor data quality inadequate for analytics

Security breaching activities

Lack of effective data privacy and security systems to manage massive data clouds

Human Skills

Talent and skill gaps in building effective data strategies to leverage analytics

Customer Dashboard and Insights

Lack of effective and efficient insights to convince all stakeholders of a particular data governance framework

Empowering Data-Driven Decision-Making across Business Processes

In the increasingly globalizing and competitive business spaces, leveraging data to drive business decisions is key to ensuring long-term success. Inadequacies in data management and analysis can be difficult to manage without expertise and experience in the domain. Opus provides exceptional data insights services through the use of AI/Ml-powered tools and techniques to enhance the data capabilities of the organization. Opus empowers organizations in the payments space to leverage all kinds of marketing, security, user-behavior, and business impact data to gather actionable insights and transform operations, streamline processes, and improve customer offerings with cutting-edge data analytics solutions.

Our Data Analytics Services Include

AI in Payment ecosystems

Custom AI/ML solutions: Designing and building custom AI and ML platforms to meet specific business and industry decision-making requirements

Neuro Brain Network

Self-service BI capabilities: Empowering the organization with self-service business intelligence capabilities to drive decisions

Detection Symbol

Fraud analytics: Encouraging comprehensive analytics from fraud prevention to consumer behavior for a well-rounded data analytics strategy

Data Analytics Dashboard and Services

Powerful data dashboards: Creating value through analytics with measurable KPIs and dashboards to access those data insights

Opus Facilitates Data-Driven Business Decisioning 

Organization Chart

Empowers organizations to make informed decisions based on comprehensive data-driven insights

Performance and Efficiency

Improves operational efficiency by streamlining processes and reducing manual effort

Competition in the Market

Provides a competitive advantage by identifying ind

Challenges in payment ecosystems

Elevates customer experiences through targeted offustry trends and customer preferences

Customer ratings

Enhances overall business resilience by adopting effective risk mitigation measures for early issue detection and resolutionerings and marketing through a data-driven understanding of customer behaviors and preferences

Recommended Resources To Explore

Frequently Asked Questions:

Data analytics services include leveraging cloud-based data management infrastructure for data aggregation, analysis, and reporting to help businesses assess performance and customer satisfaction, and use historical insights to plan future actions.

Based on the type of report and insights generated, the 5 categories of analytics are: descriptive, diagnostic, predictive, prescriptive, and cognitive.

Data analysis involves cleaning and structuring data to extract meaning to drive business decisions. Data analytics, on the other hand, has a much broader scope of utilizing analytical tools and techniques to gather deeper insights and make predictions to augment business growth.

The use of data analytics has several benefits for an organization, above all lies competitive advantage. It guides decision-making with quantitative and qualitative insights, improves productivity and deficiency by identifying process bottlenecks, enhances customer experience through predictive analytics on user behavior, and facilitates risk management.

Leveraging data analytics-as-a-service expedites and adds agility to data analysis initiatives of an organization to democratize data-driven decision-making across business processes.