Business Intelligence Training in New York

WrenAI empowers organizations to advance beyond static reporting interfaces toward conversational analytics and embedded generative business intelligence. This transformation necessitates rigorous adoption planning, asset migration strategies, and robust change management practices.

This instructor-led, live training session (available online or in person) is designed for intermediate-level business intelligence and data platform professionals seeking to modernize legacy business intelligence systems using WrenAI.

Upon completion of this training, participants will be equipped to:

• Assess legacy business intelligence environments and pinpoint opportunities for modernization.
• Plan and execute the migration from static dashboards to the WrenAI platform.
• Implement conversational analytics and embedded generative business intelligence capabilities.
• Direct organizational change management efforts related to business intelligence modernization.

Course Delivery Format

• Interactive lectures and facilitated discussions.
• Practical exercises focused on migration and adoption planning.
• Applied laboratory sessions on conversational analytics and embedded generative business intelligence.

Customization Options for the Course

• To request customized training for government or specific operational needs, please contact the provider for arrangements.

This instructor-led, live training in New York (online or onsite) is targeted at beginner-level financial analysts who aim to effectively integrate AI into their data analysis processes.

Upon completion of this training, participants will be able to:

• Comprehend the application of AI in data analysis within the financial industry.
• Cultivate skills to develop predictive and prescriptive models for financial analysis.
• Apply machine learning algorithms for the processing of financial data.
• Enhance data visualization capabilities and interpret complex AI-driven insights to support decision-making.

This instructor-led, live training conducted in New York (online or on-site) is targeted at intermediate-level data and business analysts responsible for the creation, management, and administration of dashboards using Amazon QuickSight.

Upon completion of this training, participants will possess the ability to:

• Comprehend the strategic benefits, operational use cases, and core features of Amazon QuickSight.
• Execute connections between QuickSight and various data sources, and author interactive visualizations and dashboards for government operations.
• Implement robust security measures and access controls within the QuickSight framework.
• Leverage integrated machine learning capabilities to enhance data-driven insights for public sector needs.
• Design, develop, and customize QuickSight dashboards to extract and visualize critical business intelligence.

This live, instructor-facilitated training, conducted in New York (either online or on-site), is directed toward intermediate-level data and business analysts who intend to utilize BIRT for the effective generation and distribution of business intelligence reports.

Upon completion of this program, participants will demonstrate the ability to:

• Analyze the structural architecture and functional components of the BIRT framework.
• Construct and develop sophisticated, dynamic reports utilizing the BIRT Report Designer.
• Apply BIRT scripting capabilities to embed specific business logic into reporting workflows.
• Enhance performance and deploy BIRT reports within integrated web platforms and standalone environments.

This instructor-led, live training in New York (online or onsite) is designed for entry-level business analysts and data specialists seeking to utilize Oracle BI to derive actionable insights for government operations.

Upon completion of this training, participants will be able to:

• Operate and navigate the Oracle BI interface with proficiency.
• Develop and tailor reports and dashboards to meet specific business requirements.
• Perform ad-hoc analyses utilizing diverse BI functionalities.
• Leverage advanced capabilities for in-depth data exploration.

This instructor-led, live training course in New York (available online or onsite) is designed for entry-level business analysts and data analysts seeking to utilize SAS BI for deriving actionable insights from data sets.

Upon completion of this training, participants will be prepared to:

• Navigate and operate the SAS BI interface with proficiency.
• Develop customized reports and dashboards aligned with operational requirements.
• Perform ad hoc analysis utilizing various BI modules.
• Apply advanced features for comprehensive data exploration and evaluation.

This instructor-led, live training in New York (online or onsite) is aimed at beginner-level business analysts and data analysts who wish to acquire essential skills in using SAP BusinessObjects BI to transform raw data into meaningful insights.

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

• Navigate and use the SAP BusinessObjects BI interface.
• Create and customize business reports and dashboards.
• Perform ad-hoc analysis using various BI tools.
• Utilize advanced features for in-depth data exploration.

Google Sheets serves as a robust cloud-based spreadsheet application that facilitates real-time collaboration, systematic data organization, and analytical processing.

This instructor-led live training session, available online or onsite, is designed for professionals ranging from beginner to intermediate levels who seek to enhance operational efficiency and collaborative capabilities through the advanced features of Google Sheets.

Upon completion of this training, participants will possess the ability to:

• Navigate and leverage the core functionalities of Google Sheets.
• Manage and organize data effectively utilizing filters, sorting mechanisms, and formatting tools.
• Apply essential and advanced formulas to address specific operational scenarios.
• Develop charts, dashboards, and reusable templates to support reporting and inter-departmental collaboration.

Format of the Course

• Interactive lectures and structured discussions.
• Hands-on exercises and practical application within Google Sheets.
• Real-world case studies and collaborative group activities.

Course Customization Options

• To request a tailored training program for government use, please contact our office to arrange specific details.

Pentaho Data Integration provides a robust platform for engineering enterprise-grade ETL processes and data pipelines.

This instructor-led training, available in online or onsite formats, is designed for advanced engineers seeking to master high-performance, enterprise-scale, and highly automated PDI solutions suitable for government operations.

Upon completion of this course, participants will be prepared to:

• Architect large-scale ETL pipelines utilizing advanced orchestration techniques.
• Optimize complex transformations to ensure optimal performance.
• Implement scripting, automation, and hybrid integration patterns for government use cases.
• Design robust, maintainable, and production-ready data workflows.

Course Format

• Demonstrations and architectural discussions led by subject matter experts.
• Comprehensive lab exercises focusing on advanced real-world ETL challenges.
• Hands-on development within a production-simulated environment.

Customization Options

• Contact our team if a customized version of this training is required for specific government needs.

This instructor-led, live training in New York (delivered online or onsite) is designed for intermediate-level public sector participants seeking to master advanced data integration and visualization techniques in Looker Studio for government use. The curriculum covers connecting diverse data sources, designing effective dashboards, and automating reporting workflows to enhance decision-making processes.

Upon completion of this training, participants will be able to:

• Connect and integrate multiple data sources into Looker Studio for government analysis.
• Create custom metrics and calculated fields for tailored assessments.
• Design advanced visualizations, including interactive filters and charts.
• Automate reporting workflows to facilitate real-time data updates.
• Apply best practices for visual storytelling and report customization in government contexts.

Alteryx Designer serves as a visual data preparation and analytics platform that facilitates the blending, transformation, and automation of data workflows with minimal reliance on coding.

This instructor-led, live training module, available in online or onsite formats, is designed for professionals ranging from beginner to intermediate levels who require practical Alteryx competencies for data preparation, blending, basic analytics, and workflow automation for government operations.

Upon completion of this training, participants will possess the ability to:

• Develop Alteryx workflows addressing common data preparation requirements.
• Integrate and parse data from multiple sources and varying formats.
• Construct and apply standard macros to encapsulate reusable analytical logic.
• Organize and automate workflows employing established best-practice techniques.

Instructional Methodology

• Interactive lectures accompanied by live demonstrations.
• Hands-on exercises utilizing Alteryx Designer and representative sample data.
• Practical mini-projects and workflow automation tasks focused on operational efficiency.

Course Customization Provisions

• Entities requiring a customized training curriculum for this course should initiate contact to arrange specific modifications.

This instructor-led, live training session, conducted either online or onsite, is structured for consultants and finance professionals of varying experience levels. The objective is to facilitate preparation for the Cognos Analytics certification and to develop advanced expertise in financial data analysis for government, with particular emphasis on accounts payable, treasury, and expense management modules.

Upon completion of this training, participants will be prepared to:

• Efficiently navigate and operate the Cognos Analytics interface.
• Develop and tailor financial reports and visual dashboards.
• Manage underlying data models and optimize query performance.
• Prepare for the Cognos Analytics certification examination.

This instructor-led, live training in New York (delivered online or onsite) is designed for professional staff ranging from beginner to intermediate skill levels seeking to enhance operational productivity and efficiency by applying advanced features of Excel and Google Sheets for data organization, analysis, and inter-departmental collaboration.

Upon completion of this training, participants will be able to:

• Utilize core functionalities of Excel and Google Sheets in accordance with agency standards.
• Execute data analysis and derive actionable insights using advanced spreadsheet methodologies.
• Facilitate real-time collaboration through Google Sheets to support coordinated team efforts.
• Develop reusable templates for reporting, tracking, and project management consistent with government needs.

Qlik Cloud operates as a Software-as-a-Service (SaaS) analytics infrastructure that empowers developers to construct, automate, and oversee data-centric insights across distributed cloud environments.

This facilitated, live instructional session (available online or on-site) is designed for intermediate to advanced-level developers seeking to architect, build, and implement scalable analytics solutions for government using Qlik Cloud.

Upon completion of this curriculum, participants will possess the capability to:

• Deploy and administer data models and visual assets within the Qlik Cloud environment.
• Apply Qlik Application Automation to streamline workflow and process execution.
• Integrate API endpoints and external data sources into the Qlik Cloud ecosystem.
• Enforce governance, security, and collaboration standards within multi-tenant configurations.

Instructional Delivery Method

• Interactive lecture sessions and facilitated discussions.
• Extensive practical exercises and skill reinforcement.
• Applied implementation tasks conducted in a live laboratory setting.

Options for Curriculum Customization

• Inquiries regarding tailored training modules for this course may be directed to the organizing body for scheduling arrangements.

This instructor-led, live training in New York (online or onsite) is designed for intermediate-level IT administrators who require proficiency in using Splunk to profile and manage IT infrastructure, optimize system architecture, perform effective troubleshooting, and leverage the platform’s capabilities for comprehensive data analysis and real-time monitoring.

Upon completion of this training, participants will be equipped to:

• Comprehend and administer the complete Splunk infrastructure.
• Master Splunk architecture, core components, and their interactions.
• Effectively diagnose and resolve common and advanced operational issues.
• Maximize the utility of Splunk for data analysis, monitoring, and reporting purposes.
• Manage data inputs, user access controls, and system configurations in accordance with organizational standards.

WrenAI empowers SaaS vendors to incorporate generative business intelligence (GenBI) directly into customer-facing digital products. This course provides SaaS teams with the necessary competencies to integrate WrenAI via its Embedded API, configure white-label analytics solutions, and oversee multi-tenant operational deployments.

This instructor-led, live training program, available either online or on-site, is designed for intermediate to advanced SaaS product leaders, data engineers, and full-stack developers seeking to deploy WrenAI as an embedded analytics solution within SaaS ecosystems for government and private sector applications.

Upon completion of this training, participants will be equipped to:

• Integrate WrenAI utilizing the Embedded API for customer-facing application development.
• Deploy white-label conversational BI with tailored branding and functional customization.
• Architect secure and scalable multi-tenant deployment models.
• Monitor system usage, optimize performance metrics, and ensure regulatory compliance in SaaS environments.

Training Delivery Format

• Interactive instruction and facilitated discussion sessions.
• Practical laboratory exercises utilizing the WrenAI Embedded API.
• Workshop: Design and deployment of a white-label analytics feature for a specific SaaS operational scenario.

Training Customization Options

• To initiate a customized training engagement for this curriculum, please contact the program administration to coordinate scheduling.

This instructor-led, live training session in New York (online or onsite) is directed at intermediate-level database professionals who intend to strengthen their ability to produce complex reports, customize templates, and integrate JasperReports with other systems for government applications.

By the conclusion of this training, participants will be capable of:

• Designing complex, multi-page reports with advanced layouts, fixed forms with variable sections, and dynamic content.
• Creating advanced charts, graphs, and pivot tables to visualize data, and integrating subreports and grouping for detailed data representation.
• Implementing security measures, managing user permissions, and utilizing JasperReports Server for report scheduling and distribution.

This instructor-led, live training in New York (delivered online or onsite) is intended for data scientists and data analysts who aim to learn the application of each tool within the developer tool palette in Alteryx Designer.

Upon completion of this training, participants will be able to:

• Utilize and configure all tools located in the developer tab.
• Develop efficient workflows in Alteryx employing dynamic, validation, and testing tools.
• Apply API tools to download and process web data.
• Operate Alteryx scripting tools, including Python and R.

This instructor-led, live training, conducted in New York (online or on-site), targets data analysts and professionals interested in employing AWS QuickSight for data analysis and visualization for government use.

Upon completion of this training, participants will be able to:

• Grasp the core principles and features of AWS QuickSight.
• Employ AWS QuickSight to produce data analyses, formal reports, and analytical insights.
• Utilize AWS tools to define data relationships that support more complex analysis.
• Acquire proficiency in various visualization types to enhance data comprehension.

This instructor-led, live training in New York (online or onsite) is designed for intermediate-level data analysts who require a deep understanding of the theoretical frameworks of Cognos 11 and the skills necessary to utilize the platform effectively for government purposes.

Upon completion of this training, participants will be prepared to:

• Analyze the distinct differences and functional enhancements present in Cognos 11 relative to Cognos 10.
• Leverage the advanced data module and data management capabilities to ensure efficient and compliant data handling.
• Apply established best practices to facilitate a seamless transition and ensure optimal utilization of the Cognos 11 platform for government operations.

This professionally led live training session, conducted in New York (either online or in person), is designed for intermediate-level data professionals intending to implement lakehouse solutions using Microsoft Fabric for government use.

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

• Comprehend the architecture and core components of Microsoft Fabric.
• Configure and oversee Lakehouse deployments within Microsoft Fabric.
• Execute data ingestion and transformation processes using Apache Spark.
• Apply Delta Lake tables for rigorous versioning and data management.
• Develop data ingestion pipelines utilizing Dataflows Gen2.
• Orchestrate data pipeline workflows through Data Factory.

This instructor-led live training in New York (conducted online or onsite) is designed for data analysts seeking to utilize Google Sheets for data analysis.

Upon completion of this training, participants will be able to:

• Construct spreadsheets using Google Sheets.
• Implement formulas that function consistently in both Google Sheets and Excel.
• Perform formatting and analysis on diverse data sets.
• Generate data visualizations through the creation of charts and graphs.

This instructor-led, live training session, delivered in New York (online or in-person), targets entry-level to intermediate professionals aiming to develop foundational skills in data visualization and reporting. The program focuses on leveraging Looker Studio to integrate data sources, present information with clarity, and extract actionable insights for decision-making.

Upon completion of this training, participants will be proficient in:

• Identifying the core capabilities of Looker Studio and identifying relevant operational use cases.
• Initializing the Looker Studio environment and linking it to various data repositories.
• Constructing clear dashboards using charts, graphs, and filtering mechanisms.
• Adapting reports to meet the distinct requirements of specific stakeholders and organizational goals.
• Facilitating effective collaboration and managing the sharing of dashboard assets.

Pentaho Data Integration is an open-source solution for orchestrating job workflows and data transformations, suitable for government data management requirements.

In this instructor-led live training, participants will develop proficiency in utilizing Pentaho Data Integration's ETL capabilities and graphical interface to manage the full big data lifecycle, thereby maximizing data value for government operations.

Upon completion, participants will be equipped to:

• Construct, validate, and execute fundamental data transformations utilizing defined steps and hops
• Configure and implement security controls for the Pentaho Enterprise Repository
• Consolidate heterogeneous data sources to establish a unified, analytics-ready data foundation
• Facilitate data exchange with third-party applications for downstream processing for government use

Intended Audience

• Data Analysts
• ETL Developers

Course Delivery Method

• Combination of instructional lectures, collaborative discussions, guided exercises, and intensive hands-on practice

Qlik Sense Enterprise constitutes a scalable, enterprise-grade analytics infrastructure designed for data visualization, exploratory analysis, and embedded analytical capabilities for government operations.

This instructor-led, live training session (available online or onsite) is specifically tailored for intermediate to advanced-level developers tasked with constructing, administering, and extending analytics applications using Qlik Sense Enterprise.

Upon completion of this training program, participants will possess the capacity to:

• Architect and develop interactive dashboards and visualizations utilizing Qlik Sense Enterprise.
• Implement and optimize data models and scripting protocols for large-scale datasets.
• Automate data reload processes, administer security rules, and integrate API interfaces.
• Deploy and maintain enterprise-level Qlik environments while adhering to performance and governance best practices for government use.

Instructional Format

• Interactive lectures and facilitated discussions.
• Comprehensive exercises and practical application tasks.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To request a customized training curriculum for this course, please contact us to arrange details.

This instructor-led, live training in New York (online or onsite) is designed for intermediate-level data analysts seeking to expand their proficiency in Splunk, building upon the foundational competencies established in Splunk Fundamentals 1.

Upon completion of this training, participants will demonstrate the ability to:

• Execute advanced searches utilizing Splunk’s comprehensive search commands and capabilities.
• Leverage subsearches, statistical commands, and evaluation functions to conduct detailed data analysis.
• Develop sophisticated reports and dashboards incorporating advanced visualization options.
• Deploy alerts and scheduled reports to enhance monitoring and notification processes.

This instructor-led, live training in New York (online or onsite) is intended for intermediate to advanced computer science professionals who wish to utilize Stata for statistical analysis and integration with R for government.

Upon completion of this training, participants will be able to:

• Utilize Stata effectively for data analysis and statistical modeling.
• Compare the functional capabilities of Stata with those of SPSS and R.
• Integrate Stata with R to facilitate seamless statistical computing.
• Develop and automate workflows utilizing Stata and R.

Apache Superset constitutes an open-source, enterprise-grade business intelligence platform designed for data exploration and visualization.

This instructor-led, live training program, available online or onsite, is intended for data analysts, scientists, and engineers seeking to execute advanced analytics and visualization tasks using Apache Superset.

The "Big Data and AI in Banking" training program is designed to equip banking professionals with the essential skills to leverage Big Data and artificial intelligence. This program examines foundational concepts, technologies, and practical applications within the sector. It integrates theoretical instruction, case studies, hands-on exercises, and discussions regarding regulatory implications, ethical standards, and best practices.

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

1. Understand Key Concepts: Develop a foundational understanding of Big Data and AI, including their relevance to the banking sector.
2. Explore Technologies: Become familiar with core Big Data technologies, such as Hadoop and Spark, and the role of NoSQL databases.
3. Leverage Data Sources: Identify and utilize various internal and external data sources to enhance banking operations.
4. Applications of AI: Demonstrate the application of AI techniques in bank examinations, including risk assessment, fraud detection, and predictive modeling.
5. Implement Data Analytics: Apply data analytics methods for trend identification and risk management in banking environments.
6. Address Ethical Considerations: Discuss the ethical impacts of using Big Data and AI in banking and the necessity of regulatory compliance.
7. Prepare for Future Trends: Prepare to navigate future technological innovations and formulate strategies for integrating Big Data and AI into banking practices.

Technological advancements and the exponential growth of information are fundamentally transforming operational practices across various sectors, including the public sector. Government agencies are experiencing accelerated rates of data generation and digital archiving, driven by the proliferation of mobile devices and applications, smart sensors, cloud computing solutions, and citizen-facing portals. As digital information expands in volume and complexity, the management, processing, storage, security, and disposition of this data become increasingly intricate. Emerging capture, search, discovery, and analysis tools are enabling organizations to derive insights from unstructured data. The government market is at a critical juncture, recognizing that information is a strategic asset. For government, it is imperative to protect, leverage, and analyze both structured and unstructured information to better serve mission requirements. As government leaders strive to evolve data-driven organizations to successfully accomplish their missions, they are laying the groundwork to correlate dependencies across events, people, processes, and information.

High-value government solutions will be created from a mashup of the most disruptive technologies:

• Mobile devices and applications
• Cloud services
• Social business technologies and networking
• Big Data and analytics

Big Data is one of the intelligent industry solutions and allows government to make better decisions by taking action based on patterns revealed by analyzing large volumes of data — related and unrelated, structured and unstructured.

However, accomplishing these goals requires far more than simply accumulating massive quantities of data. "Making sense of these volumes of Big Data requires cutting-edge tools and technologies that can analyze and extract useful knowledge from vast and diverse streams of information," as noted by Tom Kalil and Fen Zhao of the White House Office of Science and Technology Policy in a post on the OSTP Blog.

The White House took a step toward helping agencies find these technologies when it established the National Big Data Research and Development Initiative in 2012. The initiative included more than $200 million to make the most of the explosion of Big Data and the tools needed to analyze it.

The challenges that Big Data poses are nearly as daunting as its promise is encouraging. Storing data efficiently is one of these challenges. As always, budgets are tight, so agencies must minimize the per-megabyte price of storage and keep the data within easy access so that users can get it when they want it and how they need it. Backing up massive quantities of data heightens the challenge.

Analyzing the data effectively is another major challenge. Many agencies employ commercial tools that enable them to sift through the mountains of data, spotting trends that can help them operate more efficiently. (A recent study by MeriTalk found that federal IT executives think Big Data could help agencies save more than $500 billion while also fulfilling mission objectives.).

Custom-developed Big Data tools also are allowing agencies to address the need to analyze their data. For example, the Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. The system has helped medical researchers find a link that can alert doctors to aortic aneurysms before they strike. It’s also used for more mundane tasks, such as sifting through resumes to connect job candidates with hiring managers.

In this instructor-led, live training in New York, participants will develop the strategic mindset required to approach Big Data technologies, assess their impact on existing processes and policies, and implement these technologies for the purpose of identifying criminal activity and preventing crime. Case studies from law enforcement organizations globally will be examined to gain insights into adoption approaches, challenges, and outcomes.

Upon completion of this training, participants will be able to:

• Integrate Big Data technology with traditional data gathering processes to construct a comprehensive narrative during an investigation.
• Implement industrial-scale big data storage and processing solutions for data analysis for government.
• Prepare a proposal for the adoption of optimal tools and processes for enabling a data-driven approach to criminal investigation.

This instructional module is tailored for participants with prior experience in Google Sheets operations. The curriculum addresses data analysis instrumentation, including pivot tables and charts, alongside interactive filtering components (slicers). Participants will acquire the skills necessary to organize data within structured tables, construct transparent dashboards, and implement presentation techniques that facilitate dynamic filtering and the precise communication of results for government purposes.

This instructor-led, live training conducted in New York (either online or onsite) is specifically targeted at business analysts who intend to utilize IBM Cognos for data analysis and reporting purposes.

Upon completion of this training, participants will be able to:

• Analyze and share insights derived from data.
• Visualize business performance indicators.
• Utilize AI-assisted preparation methods to cleanse and integrate data sources.
• Discover hidden patterns within data by employing the built-in AI capabilities of IBM Cognos Analytics.

In this instructor-led, live training held in New York, participants will learn to leverage JasperReports to access and interact with business data. Additionally, they will be trained to create and design reports and dashboards that are accessible on phones and tablets.

By the conclusion of this training, participants will be capable of:

• Setting up and configuring a JasperSoft ETL project
• Designing and executing an ETL job
• Using iReport to generate charts, images, sub-reports, and cross tabs

This live, instructor-led training, conducted in New York (virtual or onsite), targets data analysts and data scientists engaged in collecting, querying, and visualizing data for business intelligence analysis and reporting. The curriculum is structured to meet the needs of public sector professionals.

Upon completion of this training, participants will be capable of:

• Configuring and installing Metabase for the construction of data visualizations and dashboards.
• Executing data queries, aggregations, and visualizations within the Metabase environment.
• Leveraging Metabase tools to author SQL queries for analytical purposes.
• Developing analytics charts and dashboards to derive strategic business insights.
• Applying best practices for Metabase usage and addressing common technical issues.

In this instructor-led live training session in New York (available online or onsite), participants will learn how to leverage MicroStrategy to access diverse data sources and generate reports and dashboards for analysis.

Upon completion of this training, participants will be prepared to:

• Install and configure the MicroStrategy environment.
• Utilize MicroStrategy to conduct predictive analytics on extensive datasets.
• Access and process data from data warehouses, Excel files, and Apache Hadoop.
• Develop comprehensive reports and analytical dashboards.

This instructor-led, live training, delivered in New York (online or on-site), is designed for developers seeking to leverage MicroStrategy for building, customizing, and embedding analytics into web and mobile applications via REST APIs and SDKs.

Upon completion of this training, participants will be able to:

• Establish the necessary development environment to commence custom application development with MicroStrategy.
• Comprehend MicroStrategy features, architecture, and core programming concepts.
• Apply MicroStrategy Web APIs and SDKs to customize analytical applications.
• Integrate MicroStrategy functionalities into web and mobile applications.
• Execute RESTful API commands to embed MicroStrategy with external systems.
• Apply methodologies to troubleshoot and resolve coding issues.

This instructor-led live training, available online or on-site, is targeted at entry-level functional consultants and advanced Maximo users who intend to use BIRT Designer to develop and deploy production-ready Maximo reports for government use.

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

• Install and configure a portable, resource-efficient BIRT development environment.
• Comprehend the Maximo-BIRT interface, including script libraries and secure connectivity protocols.
• Construct reports from the ground up in accordance with official IBM standards and industry best practices.
• Deploy and register reports within the Maximo Report Administration application.

This instructor-led, live training conducted in New York (either online or onsite) is targeted at financial analysts and personnel for government. The focus is on employing Adaptive OfficeConnect to prepare financial reports utilizing Microsoft Office Excel, Word, and PowerPoint.

Upon the conclusion of this training, participants will be capable of constructing, generating, and updating financial reports within the Microsoft Office Suite for government.

This module outlines the procedures for acquiring, transforming, and preparing data to generate interactive dashboards suitable for government operations.

Power BI serves as a prominent data visualization and business intelligence platform. It comprises a suite of data connectors, applications, and software services designed to retrieve data from diverse sources, process and transform that data, and generate comprehensive reports for governance and accountability purposes.

The platform also supports the publication of insights for organizational stakeholders, facilitating access via mobile devices, tablets, and other endpoints. This tutorial details a systematic approach for establishing connections to multiple data sources, executing data transformations, and constructing analytical views including charts, tables, matrices, and maps, tailored for government applications.

This instructor-led live training session, conducted in New York (online or onsite), is tailored for data analysts aiming to program in SAS for advanced data management, analytical processing, and related functions for government use.

Following this training, participants will possess the ability to:

• Master macro programming to create efficient SAS code.
• Utilize predictive modeling to train models and generate predictions on new data.
• Develop charts and plots for effective data visualization.

This instructor-led, live training in New York (delivered online or onsite) targets data analysts and data scientists who require proficiency in searching, analyzing, and visualizing data using Splunk for government applications.

Upon completion of this training, participants will be equipped to:

• Perform the installation and configuration of Splunk.
• Acquire and index diverse categories of machine data.
• Execute real-time search, analytical processing, and visualization of extensive datasets.
• Develop and disseminate sophisticated dashboards and reports.

This instructor-led, live instructional session, conducted either virtually or in-person at New York, is designed for technical personnel seeking to ingest data into Splunk Indexers and manage data operations within the platform.

By the conclusion of this program, attendees will be equipped to:

• Utilize various data intake techniques and origins.
• Deploy, configure, administer, and monitor Forwarder units.
• Process and adjust raw data within Splunk.
• Generate a Splunk Diag.

The Comprehensive Curriculum for Mastering IBM SPSS Statistics, Research Methodology, and Data Analysis from Foundational to Advanced Levels

SQL Server Analysis Services (SSAS) is a Microsoft SQL Server component designed for Online Analytical Processing (OLAP) and data mining. It facilitates the analysis of data spanning multiple databases, tables, or files. The semantic data models generated by SSAS serve client applications, including Power BI, Excel, Reporting Services, and other data visualization tools, to support informed decision-making for government

In this instructor-led training (available onsite or remote), participants will acquire the skills necessary to utilize SSAS for analyzing extensive data volumes within databases and data warehouses.

Upon completion of this training, participants will be proficient in:

• Installing and configuring SSAS
• Comprehending the interoperability between SSAS, SSIS, and SSRS
• Applying multidimensional data modeling to derive business insights from data
• Designing OLAP (Online Analytical Processing) cubes
• Querying and manipulating multidimensional data via the MDX (Multidimensional Expressions) query language
• Deploying enterprise-grade BI solutions using SSAS

Target Audience

• Business Intelligence (BI) professionals
• Data Analysts
• Database and data warehousing specialists

Course Format

• Interactive instruction and facilitation
• Extensive exercises and practical application
• Hands-on implementation in a live laboratory environment

Customization Options

• This curriculum is aligned with the latest versions of Microsoft SQL Server and SSAS.
• To arrange customized training tailored to specific needs, please contact the course provider.

This instructor-led, live training in New York (online or onsite) is tailored for data analysts tasked with analyzing large datasets using Stata.

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

• Construct statistical models for predicting key variables and events.
• Generate descriptive visualizations, summary tables, and frequency analyses.
• Manage and structure large datasets to ensure readiness for data analysis.

This instructor-led live training, offered online or in person, is tailored for data analysts aiming to employ Stata and R for the statistical analysis of big data within government operations.

Upon completion of this training, participants will be proficient in:

• Constructing statistical models to predict significant variables and outcomes of interest.
• Generating descriptive visualizations, summary tables, and frequency distributions.
• Managing and organizing large-scale databases to prepare them for analytical workflows.

This instructor-led live training program, available online or onsite, is designed for data analysts and data scientists seeking to explore, organize, and visualize data using Apache Superset. The curriculum is tailored to support data-driven operations and accountability for government audiences.

Upon completion of this training, participants will demonstrate the ability to:

• Install and configure Apache Superset in a secure environment.
• Integrate data from disparate database sources.
• Visualize and analyze large-scale datasets efficiently.
• Develop and distribute complex dashboards for stakeholder use.

Course Format

• Interactive lectures and facilitated discussions.
• Extensive practical exercises and skill application tasks.
• Hands-on implementation within a live-laboratory environment.

Course Customization Options

• This training utilizes the most current stable version of Apache Superset.
• Customized training modules for government agencies may be arranged by contacting the provider.
• Additional technical resources for Apache Superset are available at: https://superset.apache.org/