Developing Actively Participated In Gathering Requirements

Developing Actively Participated In Gathering The Requirements From

Developing: · Actively participated in gathering the requirements from business users according to the new layout. · Collaborated with Business users and cross functional teams to develop Business Requirement Documents ( BRD ), · Responsible for extracting data from the database, storing into QVD files, write load scripts, and develop UI according to user requirements. · Involved in designing, developing, testing, publishing, maintaining and supporting QlikView applications. · Responsible for creating QVDs , QVW files and scheduled the tasks in Publisher to reload them. Created complex QV data model to handle complex relationship between multiple fact tables. · Initially provided the proof of concept to show the functional feasibility of the QlikView implementation. · Dashboards are designed based on the survey’s reports received from business users which are collected from members and providers · Strong understanding in creating Dashboards for the required KPI's in QlikView application. · Imported the raw data from different types of data sources like SAAS , MS Access , SQL SERVER , Teradata, Hive, Hadoop, EXCEL files and config files by using OLEDB/ODBC . · Designed the QlikView applications from scratch to support reporting and business intelligence. · Used advanced scripting, set analysis, advanced aggregation functions and advanced charts. · Developed QV Dashboards using various Chart types (straight, pivot, bar, Pie, gauge, combo, List boxes, Input Field, Table Box, sliders). · Used PL/SQL programming to develop Stored Procedures/Functions and Database triggers. · Experience in using QV Functions related to string, date, color and formatting. · Developed User Interactive Sheets & Reports as per business needs. · Developed views in DB to load the relevant Data in QlikView Applications. · Used SQL Server as backend and QlikView script for ETL Operations for extracting, · Implemented Security using section access. · Extensively implemented incremental loading to decrease the load time / increase loading performance.

Install QlikView Products across Development and Prod environments. · Expertise in Full Life Cycle implementation of a data warehouse project that includes Planning, Analysis, Design, Implementation and Maintenance. · Involved in User Training Sessions and Preparing Documentation. · Implemented 3-layer architecture , binary loads and incremental loads for optimal performance of the Dashboard reloads, rescaling and to adhere to data retention standards. · Established a standard structure for test and working files (QVW) and version controlling to maintain parity between production and test environment. · Debugging the QlikView server issues through server logs , Fiddler logs. · Expertise in implementing the QlikView dashboard security model using Section Access . · Deployed application across various environment's ( Dev, QA & PROD ).

Configured, scheduled and monitored various jobs using QlikView Management Console (QMC/QEM). · Used advanced scripting, set analysis and macros, advanced aggregation functions and advanced charts. · Testing Applications using review checklists, Data quality for Quality Assurance before delivering to the end users. · Admin kind of activities: · Performed different tasks like extraction, reload tasks, distribution tasks, reduction, deploying apps, scheduling, User management, license management, Clustering and licensing using QMC . · Testing Applications using review checklists, Data quality for Quality Assurance before delivering to the end users. · Involved working with QlikView administrator to optimize QlikView performance. · · Debugging the QlikView server issues through server logs , Fiddler logs.

Mainly involve in the QlikView Admin activities Supporting to the application when issues arises from the end user: · Average day in the life of this role: Reviewing open tickets in Service Now, working open tickets, working with end-users on production issues, daily client standup meetings, daily integration with offshore team Work in incidents, service requests, defects, and enhancements

Paper For Above instruction

In today's data-driven business environment, the ability to effectively gather, analyze, and utilize data is crucial for organizational success. This paper elaborates on the extensive responsibilities and technical skills involved in a comprehensive role focused on data integration, dashboard development, and system administration, primarily using QlikView as a business intelligence tool. The multifaceted nature of this role emphasizes active stakeholder engagement, technical proficiency, and operational management, which collectively contribute to delivering actionable insights and maintaining robust data systems.

The foundation of this role lies in requirements gathering, where direct collaboration with business users ensures that dashboards and reports align with organizational needs. Engaging with cross-functional teams during the requirement elicitation process facilitates the development of detailed Business Requirement Documents (BRD), which serve as blueprints for subsequent system development. Effective communication during this phase is vital to understanding user expectations and translating them into technical specifications. Furthermore, iterative walk-throughs and reviews help refine these requirements, mitigating scope creep and ensuring clarity.

Upon establishing clear requirements, the role shifts toward data extraction and warehousing. The individual is responsible for designing data models and ETL processes using SQL and QlikView scripting. Extracting data from diverse sources such as SaaS applications, MS Access, SQL Server, Teradata, Hive, Hadoop, Excel, and configuration files demands proficiency with OLEDB/ODBC connectors and understanding of source system structures. The creation of QVD files, which serve as proprietary QlikView data stores, is essential for efficient data loading, enabling incremental loads to optimize performance and reduce reload times. These practices exemplify best data management standards, ensuring data integrity and accessibility for meaningful analysis.

Developing the QlikView applications involves constructing intuitive dashboards tailored to user needs, with features ranging from traditional charts—bar, pie, gauge, slider—to complex pivot tables. Advanced scripting, including set analysis, aggregation functions, macros, and the use of various QV functions (string, date, color), allow for dynamic and sophisticated visualizations. Developers also implement security protocols using section access, ensuring that sensitive data is protected and access is appropriately restricted.

Ensuring continuous operation and data security necessitates rigorous deployment and configuration processes. Installing QlikView products across development and production environments allows for the systematic testing, validation, and deployment of applications. The implementation of a Universal 3-layer architecture, which encompasses presentation, business logic, and data layers, supports scalability and performance. Version control through standardized file structures and rigorous testing protocols further uphold data quality and system stability. Troubleshooting server issues via logs and debugging techniques improves system reliability.

Operational activities extend into system administration, where scheduling and monitoring tasks via QlikView Management Console (QMC) are routine practices to ensure timely data refreshes and report availability. User administration, license management, and server clustering are also integral tasks, promoting high availability and security. Application performance optimization often involves collaboration with QlikView administrators, examining logs (server and Fiddler) to diagnose issues swiftly.

End-user support remains critical, with the role involving continual monitoring of tickets in ServiceNow, resolving incidents, and facilitating training sessions for users. The dynamic nature of this position demands adaptability and responsiveness to evolving business requirements, all while maintaining data accuracy and system performance. The skill set exemplifies a blend of technical expertise, problem-solving acumen, and stakeholder communication, essential for delivering comprehensive business intelligence solutions.

In conclusion, the described responsibilities highlight the complexity and significance of roles involved in data processing and visualization using QlikView. From requirements collection through system deployment and maintenance, each phase necessitates specialized skills and strategic planning. As organizations increasingly rely on data insights for competitive advantage, expertise in such multifaceted roles becomes indispensable, underscoring the importance of continuous learning and operational excellence in business intelligence practices.

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