Your Data, Our Expertise — Unlock New Possibilities.

Cybic’s data services accelerate insights, automation, and innovation.
Data Quality
Business Intelligence
Data Sharing
Data Governance
Data Integration
Data ware-housing
Data Standards
Data Security
Data Architecture
Master Data Management

Cybic’s principles for Data Services

Data Integration
Seamlessly connect data across systems to create a unified, accessible, and real-time view of your business.
Data Quality
Ensure your decisions are driven by accurate, complete, and trusted data through rigorous quality management.
Data Security & Privacy
Protect sensitive information with advanced encryption, access controls, and compliance with leading global standards.
Data Governance
Establish clear policies, roles, and accountability to manage data responsibly and maximize business value.

Business Intelligence & Visualization – See Beyond the Numbers

Transform Data into Actionable Insights for Smarter Decisions
Data Collection & Management
Gathering data from various sources, including databases, spreadsheets, and other systems.
Yield Insights with AI and Tableau, Power BI, Domo, Looker Studio, and Yellowfin Business Intelligence
AI-Driven Dashboards & Reporting
Gain real-time insights with customized, interactive dashboards that track KPI, metrics and business performance.
Predictive & Prescriptive Analytics
Use data mining and machine learning models to forecast trends and patterns, anticipate market shifts, and make data-backed decisions with confidence.
Self-Service BI Solutions
Enable your teams with intuitive, AI-powered BI tools that let them explore data without needing technical expertise.
Integrate with Your Ecosystem
Connect BI tools with CRM, ERP, cloud data lakes, and third-party applications for a unified, intelligent data environment.
Conventional BIVSAI-enabled BI
Able to process structured data from internal sourcesData HandlingCan process structured and unstructured data from diverse sources
Periodic dashboards & reportsReporting CapabilitiesReal-time analytical reports, insights, and forecasts
Descriptive analysis based on historical dataType of analysisPredictive (what will happen) as well as prescriptive (what to do) analytics
Limited complexity, often manual interpretation requiredData ComplexityIs able to analyze complex data sets automatically
Depends on the frequency of reporting sequencesFrequency of insightsNear-immediate data processing and analysis
Reactive based on historical dataAssistance in decision- makingProactive with future predictions & upcoming trends forecasting

How can Al drive better business analytics?

Industry-specific advantage

Generates industry specific forecasts which minimizes risk and churn rate

Enables data quering

Yields meaningful insights from data queries with the help of NLQ and NLG

Predictive analytics

Drives better business outcomes by predicting market trends and consumer behaviour

Speeds up data preparation

Reduces the time spent on preparing and managing data for analysis

Enhanced accuracy

Enables more efficient analytics via better pattern and behavior learning

Text Analysis

Creates an edge by seamlessly reading open-ended or unstructured data with the use of NLP
Data visualization makes analytics 28 times more likely to be understood and acted upon. Ready to see your data in a whole new light?