BI & Big Data Consulting & Business Services for Bank
- BI & Big Data Consulting & SI Business Consulting
- $50,000 to $199,999
- Jan. 2023 - Ongoing
- Quality
- 5.0
- Schedule
- 5.0
- Cost
- 5.0
- Willing to Refer
- 5.0
"Overall, their agile approach has significantly contributed to the project's success."
- Financial services
- Sofia, Bulgaria
- 1,001-5,000 Employees
- Online Review
- Verified
Prudensio Digital has provided data modeling, project management, and business requirement analysis services for a bank. Their tasks included data architecture design, data mapping, performance tuning, and QA.
Prudensio Digital has consistently delivered impressive sprint results on time, helping the client enhance their data warehouse's functionality. They've maintained transparent communication and demonstrated stellar project management skills. Their agility and resource allocation are commendable.
The client submitted this review online.
BACKGROUND
Please describe your company and position.
I am the Head of Data Science and Decisions Lab of tbi bank
Describe what your company does in a single sentence.
tbi bank is a consumer and SME-focused bank with headquarters in Sofia, providing financial services in Bulgaria, Romania, Greece and through digital channels in Germany, Denmark, and Poland.
OPPORTUNITY / CHALLENGE
What specific goals or objectives did you hire Prudensio Digital to accomplish?
- Project Management in DWH Project on Cloud
- Business Requirement Analysis in DWH Project on Cloud
- Modeling in DWH Project on Cloud
SOLUTION
How did you find Prudensio Digital?
Referral
Why did you select Prudensio Digital over others?
- Great culture fit
- Referred to me
- Company values aligned
- Dedication
How many teammates from Prudensio Digital were assigned to this project?
2-5 Employees
Describe the scope of work in detail. Please include a summary of key deliverables.
1. Data Modeling
- Data Architecture Design: Develop a comprehensive data architecture that supports the business requirements and aligns with best practices in cloud-based data warehousing.
- Schema Development: Create and maintain database schemas, including star and snowflake schemas, to ensure efficient data storage and retrieval.
- ETL/ELT Processes: Design and implement Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) processes to populate the data warehouse from various data sources.
- Data Quality Management: Implement data quality checks and validation processes to ensure the accuracy, consistency, and reliability of data within the warehouse.
- Performance Tuning: Optimize data models and queries to improve the performance and scalability of the data warehouse.
2. Business Requirement Analysis
- Stakeholder Engagement: Collaborate with business stakeholders to gather and document detailed business requirements for the data warehouse project.
- Requirement Documentation: Create comprehensive requirement documents that capture all business needs, data sources, transformation rules, and reporting requirements.
- Gap Analysis: Conduct gap analysis to identify discrepancies between existing systems and the new data warehouse solution, providing recommendations for bridging these gaps.
- Data Mapping: Develop detailed data mapping documents that outline the flow of data from source systems to the data warehouse, including transformation rules and data lineage.
- Validation and Verification: Work with stakeholders to validate requirements and ensure they are accurately translated into technical specifications.
3. Project Management
- Project Planning: Develop and maintain a detailed project plan, including timelines, milestones, resource allocation, and risk management strategies.
- Team Coordination: Coordinate with cross-functional teams, including developers, data analysts, and business users, to ensure timely and successful project execution.
- Progress Tracking: Monitor project progress against the plan, providing regular status updates to stakeholders and identifying any issues or delays.
- Risk Management: Identify potential project risks and develop mitigation strategies to minimize impact on project delivery.
- Quality Assurance: Implement quality assurance processes to ensure all deliverables meet the required standards and business objectives.
- Budget Management: Manage project budget, ensuring all expenses are tracked and kept within allocated limits.
RESULTS & FEEDBACK
What were the measurable outcomes from the project that demonstrate progress or success?
1. Agile Approach
The vendor demonstrated a robust understanding and implementation of agile methodologies throughout the project. Their commitment to iterative development and continuous improvement was evident in several key areas:
- Sprint Planning: The vendor excelled in planning sprints, ensuring that each sprint had clear objectives and deliverables aligned with the overall project goals.
- Flexibility and Adaptability: They were highly adaptable to changing requirements, showcasing their ability to pivot and adjust priorities based on feedback and evolving business needs.
- Continuous Integration and Testing: The vendor integrated continuous integration practices, ensuring that code was regularly tested and deployed, which contributed to maintaining a high quality of deliverables.
Overall, their agile approach has significantly contributed to the project's success. They enabled the timely delivery of features and reduced the risk of major setbacks.
2. Communication
Communication was one of the vendor's strong suits, facilitating smooth collaboration and transparency throughout the project lifecycle:
- Regular Updates: The vendor provided regular updates through daily stand-up meetings, sprint reviews, and retrospectives, ensuring all stakeholders were informed of the progress and any potential issues.
- Stakeholder Engagement: They maintained proactive engagement with stakeholders, actively seeking input and feedback to refine requirements and address concerns promptly.
- Documentation: Comprehensive and clear documentation was provided, which included detailed sprint reports, requirement specifications, and user stories, making it easy for all team members to stay aligned.
Their emphasis on open and effective communication helped in building trust and fostering a collaborative working environment.
3. Sprint Results
The results from each sprint were consistently impressive, highlighting the vendor's efficiency and commitment to delivering high-quality outcomes:
- On-Time Delivery: Most sprints were completed on time, with deliverables meeting or exceeding the expected standards. This punctuality ensured that the project stayed on track and milestones were achieved as planned.
- Quality of Work: The quality of work produced was exceptional, with minimal bugs or issues reported. The vendor's focus on testing and validation before deploying to production played a crucial role in this.
- Incremental Value: Each sprint delivered incremental value to the project, with tangible improvements and features that enhanced the overall functionality of the data warehouse.
Describe their project management. Did they deliver items on time? How did they respond to your needs?
- Project Management Performance: The vendor exhibited strong project management capabilities, ensuring that the project was well-organized and executed efficiently. Their approach to project management included several key strengths:
- Detailed Project Planning: The vendor developed a comprehensive project plan that outlined all major milestones, deliverables, and timelines. This plan was meticulously followed and adjusted as necessary to accommodate changes and ensure that all project goals were met.
- Resource Allocation: They demonstrated effective resource allocation, ensuring that the right team members were assigned to tasks based on their expertise and the project requirements. This helped in optimizing productivity and maintaining high standards of work.
What was your primary form of communication with Prudensio Digital?
Virtual Meeting
What did you find most impressive or unique about this company?
One of the most impressive aspects of this vendor is their diverse specialization across multiple domains. They bring a wealth of expertise in various fields, which significantly enhances their ability to handle complex and multifaceted projects. Key areas of specialization include:
- Data Modeling and Architecture: The vendor excels in developing robust data models and architectures tailored to specific business needs. Their deep understanding of both traditional and modern data warehousing techniques ensures that they can design scalable and efficient data solutions.
- Cloud Technologies: They possess strong capabilities in leveraging cloud platforms for data warehousing projects. This includes expertise in major cloud services like AWS, Azure, and Google Cloud, enabling them to implement highly performant and cost-effective solutions.
- Business Requirement Analysis: Their proficiency in translating business requirements into technical specifications is noteworthy. They have a proven track record of understanding complex business processes and converting them into actionable technical plans.
- Project Management: The vendor's project management skills are top-notch, encompassing agile methodologies, risk management, and resource allocation. Their ability to manage projects effectively across diverse teams and stakeholders is a significant asset.
Are there any areas for improvement or something Prudensio Digital could have done differently?
Haven't seen so far.
RATINGS
-
Quality
5.0Service & Deliverables
"fit to project purposes."
-
Schedule
5.0On time / deadlines
"always on time."
-
Cost
5.0Value / within estimates
-
Willing to Refer
5.0NPS