C1000-191
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C1000 191 Cognos Analytics Analyst
The course equips analysts with hands‑on expertise in building dashboards, authoring reports, integrating data, leveraging AI Assistant, and managing models within Cognos Analytics v12, enabling strategic, data‑driven decision making.
90
Minutes
62
Questions
62/100
Passing Score
$200
Exam Cost
Who Should Take This
Business intelligence professionals, data analysts, and report developers with at least two years of experience in IBM Cognos Analytics benefit from this certification. They seek to validate their ability to design interactive visualizations, automate report pipelines, and apply AI‑driven insights. The credential supports career advancement into senior analytics and strategy roles.
What's Covered
1
Domain 1: Dashboard Development and Visualization
2
Domain 2: Report Authoring and Data Integration
3
Domain 3: AI Assistant and Natural Language Analytics
4
Domain 4: Data Modeling and Framework Management
5
Domain 5: Content Sharing and Distribution Management
6
Domain 6: Advanced Analytics and Data Exploration
What's Included in AccelaStudy® AI
Adaptive Knowledge Graph
Practice Questions
Lesson Modules
Console Simulator Labs
Exam Tips & Strategy
20 Activity Formats
Course Outline
77 learning goals
1
Domain 1: Dashboard Development and Visualization
3 topics
Dashboard Creation and Configuration
- Create interactive dashboards using Cognos Analytics v12 dashboard interface with multiple visualization components and data sources
- Configure dashboard properties including themes, layouts, and responsive design settings for optimal user experience
- Implement dashboard navigation controls, filters, and drill-through capabilities to enhance user interactivity
- Analyze dashboard performance metrics and optimize rendering speed through data source selection and visualization choices
- Design strategic dashboard architectures that align with organizational KPIs and decision-making frameworks
Visualization Types and Customization
- Apply appropriate visualization types including charts, maps, tables, and crosstabs based on data characteristics and analytical requirements
- Customize visualization properties such as colors, fonts, axes, and formatting to meet corporate branding standards
- Evaluate the effectiveness of different visualization types for communicating specific data insights and patterns
- Analyze advanced visualization features including conditional formatting, reference lines, and statistical overlays
- Strategize visualization selection and design principles to maximize data storytelling impact and user comprehension
Dashboard Interactivity and User Experience
- Implement interactive features including filtering, highlighting, and linked visualizations across dashboard components
- Configure parameter controls and prompts to enable dynamic dashboard content based on user selections
- Analyze user interaction patterns to optimize dashboard usability and information discovery workflows
- Design comprehensive interactivity strategies that balance functionality with dashboard performance and simplicity
2
Domain 2: Report Authoring and Data Integration
3 topics
Report Creation and Formatting
- Create professional reports using Cognos Analytics v12 Report Studio with headers, footers, and structured layouts
- Apply advanced formatting techniques including conditional formatting, styling, and corporate templates
- Configure report parameters and prompts to enable dynamic content generation based on user input requirements
- Analyze report performance and structure to optimize query execution time and resource utilization
- Develop strategic reporting frameworks that standardize organizational reporting practices and ensure data consistency
Data Modules and Query Management
- Create and configure data modules in Cognos Analytics v12 to integrate multiple data sources and relationships
- Implement data module relationships, joins, and data preparation techniques including filtering and aggregation
- Configure query processing options and caching strategies to optimize data module performance
- Analyze data module dependencies and impact on report performance across the Cognos Analytics environment
- Strategize enterprise data module architecture to ensure scalability, reusability, and governance compliance
Calculations and Data Manipulation
- Implement calculated fields and expressions using Cognos Analytics v12 calculation syntax and functions
- Create complex calculations including conditional logic, date functions, and statistical aggregations
- Analyze calculation performance impact and optimize expressions for efficient query processing
- Design calculation frameworks that promote reusability and maintain calculation logic consistency across reports
3
Domain 3: AI Assistant and Natural Language Analytics
2 topics
AI Assistant Configuration and Usage
- Configure Cognos Analytics v12 AI Assistant features including natural language query processing and automated insights
- Implement AI-generated visualizations and recommendations based on data characteristics and user query patterns
- Evaluate AI Assistant suggestions for accuracy, relevance, and alignment with analytical objectives
- Analyze the impact of AI Assistant usage on user adoption and self-service analytics capabilities
- Strategize AI Assistant deployment to maximize organizational data literacy and analytical independence
Natural Language Queries and Pattern Detection
- Execute natural language queries in Cognos Analytics v12 to generate insights and visualizations automatically
- Configure pattern detection algorithms to identify trends, outliers, and anomalies in organizational data
- Analyze natural language query results for statistical significance and business relevance
- Evaluate automated pattern detection accuracy and refine algorithms based on domain expertise
- Develop strategic approaches for integrating natural language capabilities into organizational analytics workflows
4
Domain 4: Data Modeling and Framework Management
3 topics
Data Modeling and Star Schema Design
- Design star schema data models with fact tables, dimension tables, and appropriate relationships for analytical processing
- Implement dimensional modeling best practices including slowly changing dimensions and hierarchical structures
- Optimize data model performance through indexing strategies, partitioning, and aggregation table design
- Analyze data model effectiveness in supporting diverse analytical requirements and query performance
- Strategize enterprise data modeling approaches that align with organizational data architecture and governance policies
Framework Manager Implementation
- Create and configure Framework Manager models including packages, namespaces, and query subjects
- Implement security filters, dimensional information, and model optimization techniques in Framework Manager
- Configure Framework Manager relationships, cardinalities, and determinants to ensure accurate query generation
- Analyze Framework Manager model performance and troubleshoot metadata-related issues
- Design comprehensive Framework Manager architectures that support scalable enterprise reporting requirements
Metadata Management and Governance
- Implement metadata governance practices including naming conventions, documentation standards, and version control
- Configure metadata security policies and access controls to protect sensitive data definitions and business rules
- Analyze metadata dependencies and impact assessment for changes to underlying data structures
- Strategize metadata management frameworks that ensure data lineage, quality, and organizational compliance
5
Domain 5: Content Sharing and Distribution Management
2 topics
Content Sharing and Collaboration
- Configure Cognos Analytics v12 sharing capabilities including folders, permissions, and collaborative workspaces
- Implement role-based access controls and security policies for dashboard and report distribution
- Create shared content libraries and establish content organization standards for team collaboration
- Analyze content usage patterns and user access behaviors to optimize sharing strategies
- Design enterprise content sharing frameworks that balance accessibility with security and governance requirements
Scheduling and Automated Distribution
- Configure report scheduling options including frequency, output formats, and delivery methods in Cognos Analytics v12
- Implement report bursting capabilities to distribute personalized content to multiple recipients automatically
- Configure email distribution lists, delivery options, and conditional scheduling based on data conditions
- Analyze scheduling performance, delivery success rates, and system resource utilization
- Strategize automated distribution architectures that ensure reliable content delivery while minimizing system overhead
6
Domain 6: Advanced Analytics and Data Exploration
3 topics
Data Exploration and Discovery
- Execute exploratory data analysis techniques using Cognos Analytics v12 exploration features and statistical functions
- Implement data profiling and quality assessment procedures to identify data characteristics and anomalies
- Configure exploration workspaces with advanced filtering, grouping, and analytical transformation capabilities
- Analyze exploration results to identify significant patterns, correlations, and business opportunities
- Develop strategic exploration methodologies that accelerate insight discovery and hypothesis validation
Storytelling and Narrative Analytics
- Create compelling data stories using Cognos Analytics v12 storytelling features with narrative flow and visual progression
- Implement story templates and reusable narrative structures for consistent organizational storytelling
- Configure interactive story elements including embedded dashboards, guided analysis, and decision trees
- Analyze story effectiveness in communicating insights and driving stakeholder decision-making processes
- Strategize data storytelling frameworks that align analytical narratives with organizational communication strategies
Advanced Analytics and Predictive Modeling
- Implement advanced analytical functions including statistical modeling, forecasting, and predictive analytics capabilities
- Configure machine learning algorithms and predictive models within Cognos Analytics v12 analytical framework
- Validate predictive model accuracy and assess statistical significance of analytical results
- Analyze advanced analytics outcomes to derive actionable business intelligence and strategic recommendations
- Design comprehensive advanced analytics strategies that integrate predictive capabilities into organizational decision-making processes
Scope
Included Topics
- All domains of C1000-191 IBM Certified Analyst - Cognos Analytics v12 Professional: Cognos Analytics v12 analysis: dashboard creation, visualization types, interactivity; report authoring, data modules, calculations; AI assistant, natural language queries, pattern detection; data mod.
- Exam-specific technical content covering eling, star schema, framework manager; sharing, scheduling, bursting; exploration, storytelling, advanced analytics..
Not Covered
- Topics outside the C1000-191 exam scope and other certification levels.
- Current pricing, promotional offers, and vendor-specific values that change over time.
- Implementation details for competing vendor products and platforms.
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