Business Intelligence with SSAS Training Course

This instructor-led, live training in New Zealand (online or onsite) is aimed at intermediate-level participants who wish to master advanced data integration and visualisation techniques in Looker Studio, and learn how to connect diverse data sources, design compelling dashboards, and automate reporting workflows to drive better business decisions.

By the end of this training, participants will be able to:

• Connect and integrate multiple data sources into Looker Studio.
• Create custom metrics and calculated fields for tailored analysis.
• Design advanced visualisations, including interactive filters and charts.
• Automate reporting workflows for real-time data updates.
• Apply best practices for visual storytelling and report customisation.

This instructor-led, live training in New Zealand (online or on-site) is designed for data scientists and data analysts who want to learn how to use each tool in the Developer tool palette within Alteryx Designer.

By the end of this training, participants will be able to:

• Learn to use and configure all the tools in the Developer tab.
• Design efficient workflows in Alteryx using dynamic, validation, and testing tools.
• Learn how to use API tools to download and parse web data.
• Use Alteryx scripting tools, including Python and R.

Alteryx Designer is a visual data preparation and analytics platform that enables users to blend, transform, and automate data workflows with minimal coding.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to learn practical Alteryx skills for data preparation, blending, basic analytics, and workflow automation.

By the end of this training, participants will be able to:

• Build Alteryx workflows for common data preparation tasks.
• Combine and parse data from multiple sources and formats.
• Create and use standard macros to encapsulate reusable logic.
• Organise and automate workflows using best-practice techniques.

Course Format

• Interactive lectures and demonstrations.
• Hands-on exercises using Alteryx Designer and sample data.
• Practical mini-projects and workflow automation tasks.

Course Customisation Options

• To request a customised training session for this course, please contact us to make arrangements.

This instructor-led, live training in New Zealand (delivered either online or on-site) is designed for intermediate-level data analysts who wish to gain a solid understanding of the theoretical foundations of Cognos 11 while also learning how to apply it effectively in practice.

By the conclusion of this training, participants will be able to:

• Understand the key differences and enhancements introduced in Cognos 11 compared to Cognos 10.
• Take advantage of the improved data modules and data management capabilities for more efficient data handling.
• Apply best practices to ensure a smooth transition and optimal utilisation of Cognos 11.

This instructor-led, live training in New Zealand (delivered online or on-site) is designed for consultants and finance professionals ranging from beginner to advanced levels who wish to prepare for the Cognos Analytics certification and develop expertise in financial data analysis, including modules covering accounts payable, treasury, and expenses.

By the conclusion of this training, participants will be able to:

• Navigate and make efficient use of the Cognos Analytics interface.
• Develop and customise financial reports and dashboards.
• Manage data models and optimise queries.
• Prepare effectively for the Cognos Analytics certification examination.

This instructor-led, live training in New Zealand (online or on-site) is designed for business analysts who want to leverage IBM Cognos for data analysis and reporting.

By the end of this training, participants will be able to:

• Analyse and share insights derived from data.
• Visualise business performance.
• Use AI-assisted preparation to cleanse and combine data sources.
• Uncover hidden patterns in data using IBM Cognos Analytics' built-in AI features.

This instructor-led, live training in New Zealand (online or on-site) is designed for beginner to intermediate-level participants who wish to build foundational skills in data visualisation and reporting using Looker Studio, learn how to connect data sources, visualise information effectively, and gain actionable insights.

By the end of this training, participants will be able to:

• Understand the core features of Looker Studio and its use cases.
• Set up Looker Studio and connect to various data sources.
• Create engaging dashboards with charts, graphs, and filters.
• Customise reports for specific audiences and business needs.
• Collaborate on and share dashboards effectively.

This instructor-led, live training in New Zealand (online or on-site) is designed for data analysts and data scientists who want to use Metabase to collect, query, and visualise data for business intelligence analysis and reporting.

By the end of this training, participants will be able to:

• Set up and install Metabase to begin building data visualisations and dashboards.
• Learn how to query, aggregate, and visualise data using Metabase.
• Use Metabase features and tools to write SQL queries.
• Build analytics charts and dashboards to gain business insights.
• Understand best practices and tips for using Metabase and resolving common issues.

Pentaho Data Integration is an open-source data integration tool for defining jobs and data transformations.

In this instructor-led, live training, participants will learn how to utilise Pentaho Data Integration's powerful ETL capabilities and rich GUI to manage an entire big data lifecycle and maximise the value of data within their organisation.

By the end of this training, participants will be able to:

• Create, preview, and run basic data transformations containing steps and hops
• Configure and secure the Pentaho Enterprise Repository
• Harness disparate sources of data and generate a single, unified version of the truth in an analytics-ready format.
• Provide results to third-party applications for further processing

Audience

• Data Analyst
• ETL developers

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Pentaho Data Integration is a comprehensive platform for designing enterprise-grade ETL and data pipelines.

This instructor-led, live training (online or onsite) is aimed at advanced-level engineers who wish to master high-performance, enterprise-scale, and highly automated PDI solutions.

Upon completing this course, participants will be equipped to:

• Architect large-scale ETL pipelines with advanced orchestration.
• Optimise complex transformations for high performance.
• Implement scripting, automation, and hybrid integration patterns.
• Design robust, maintainable, production-ready workflows.

Course Format

• Expert-led demonstrations and architectural discussions.
• Extensive hands-on labs tackling advanced real-world ETL challenges.
• Practical development within a production-like environment.

Course Customisation Options

• Contact us if you require a customised version of this training.

Pentaho Data Integration is a data extraction, transformation, and loading platform.

This instructor-led, live training (online or onsite) is designed for intermediate-level practitioners seeking to advance their PDI skills for more complex transformation scenarios.

By the end of this training, participants will be able to:

• Design multi-step transformations with improved performance.
• Work effectively with variables, parameters, and reusable components.
• Integrate PDI with databases, APIs, and external systems.
• Apply best practices to build maintainable and scalable ETL pipelines.

Course Format

• Interactive demonstrations accompanied by instructor explanations.
• Guided exercises and scenario-based practice sessions.
• Hands-on experience within a real-world ETL project environment.

Course Customisation Options

• If you require a tailored version of this course, please get in touch with us to discuss customisation.

This instructor-led, live training in New Zealand (online or on-site) is aimed at data analysts and data scientists who wish to search, analyse, and visualise data using Splunk.

By the end of this training, participants will be able to:

• Install and configure Splunk.
• Collect and index all kinds of machine data.
• Implement real-time search, analysis and visualisation of large datasets.
• Create and share complex dashboards and reports.

This instructor-led, live training in New Zealand (online or on-site) is designed for intermediate-level data analysts who wish to deepen their understanding of Splunk and build upon the foundational knowledge gained in Splunk Fundamentals 1.

By the end of this training, participants will be able to:

• Conduct advanced searches using Splunk's powerful search commands and capabilities.
• Utilise subsearches, statistical commands, and evaluation functions to analyse data.
• Create sophisticated reports and dashboards with advanced visualisation options.
• Implement alerts and scheduled reports for monitoring and notification purposes.

This instructor-led, live training in New Zealand (online or onsite) is aimed at intermediate-level IT administrators who wish to use Splunk to profile and manage IT infrastructure, optimise system architecture, troubleshoot effectively, and leverage Splunk's capabilities for comprehensive data analysis and real-time monitoring.

By the end of this training, participants will be able to:

• Understand and manage the complete Splunk infrastructure.
• Master Splunk architecture and components.
• Troubleshoot common and advanced issues effectively.
• Utilise Splunk to its full potential for data analysis, monitoring, and reporting.
• Administer data inputs, user management, and system configurations.

This instructor-led, live training in New Zealand (online or on-site) is aimed at engineers who wish to get data into Splunk Indexers and manipulate data in Splunk.

By the end of this training, participants will be able to:

• Use different data input methods and sources.
• Install, configure, manage and monitor Forwarders.
• Manipulate raw data in Splunk.
• Create a Splunk Diag.