Why Y Point ?

Y Point has not only delivered data strategy and implementation projects but has also branched out into scalable AI application development. Our DNA has data & data integration in it. We specialize in Business Intelligence, Route Optimization, Data Architecture, Big Data Integration, and Data Migration. We have been involved in Manufacturing, Federal Government, Senior Care, Telecommunications, Low Income Housing, Health Insurance, Mortgage, Student Aid/Loan, Logistics, Retail, Media, and Banking Industries. We help our clients anticipate future business challenges or disruptions and are treated as strategic partners. We work very hard to simplify our solutions to reduce maintenance overheads continuously.

Why GoodData?

If you need embedded & adhoc data analytics in a AWS or Azure cloud platform for your SaaS cloud based application, Good data provides easy interface. 

  • Embedded Analytics: GoodData is designed to integrate into other applications, allowing businesses to offer white-labeled analytical solutions within their products.
  • Multi-tenant Architecture: GoodData supports a multi-tenant architecture, making it particularly well-suited for SaaS companies who need to offer analytics to multiple end-users or client organizations while ensuring data isolation between them.
  • Row level Security: row-level security, data encryption, and robust access controls.
  • End-to-End Platform: While most other reporting platforms like Tableau and PowerBI primarily focus on data visualization and reporting, GoodData offers a data integration, data wrehousing and data visualization capabilities.


GoodData Data Management & Governance

We interview data owners and department heads to understand an organization's vision, goals, and objectives for managing and using its data assets. We provide a strategic framework to accelerate data assimilation and distribution, empowering decision makers with timely, high-quality data.

Enterprise Conceptual Data Model (ECDM)

We work with technical teams to identify the common data elements across different systems and applications within an organization. ECDM serves as a foundation for GoodData efforts by providing a common language for data sharing, mapping, and transformation.

Enterprise Conceptual Data Flow

We interact with data teams, application subject matter experts and business analysts across the organization to map and document the flow of data across the various applications within an organization. This process involves creating a high-level conceptual diagram that depicts the movement of data across the enterprise.

Enterprise Data Dictionary & Data Catalog

We work with data stewards, data owners and consumers of data to understand and document definition of data assets across the organization. This helps us to provide a clear and consistent (and sometimes conflicting) perspective of data, which informs Data Integration.

Production Support

Ad-hoc Execution

We provide support for on-demand execution of pre-designed gooddata service project jobs for new client configuration / data conversion etc.

Investigate Load Discrepancies

If our automated data quality agents or our consumers detect issues, our analysts investigate by analyzing the source and target data, mapping, and transformation rules. 

Reproduce the Failures in Lower Environment

Our Data Integration teams investigate the issues and errors reported by our clients and then replicates these scenarios in lower environments. This typically involves understanding how the production data interacts with data transformation rules encoded in the data integration jobs.

Production Failure Support

All our gooddata service project jobs are designed to restart gracefully in event of failure. However, if there is failure due to source structure changes,  file layout changes, unexpected special characters, and cache / buffer / file swap space limitations. We Investigate, fix and restart the jobs to ensure the data gets to the right people at the right time.

Source Application Release Testing & Support

Export Verification

Verify exports from the applications don’t change in unexpected manner, for both old and new versions of the application.

Import Verification

Test imports into the applications. Verify that the data has been properly imported .

Performance Testing

Conduct Performance Testing of gooddata service project jobs after new application deployment.

Support Client Testing - Test Data Loads

Test Source Data Quality

Profile source data to ensure quality of data provided is good enough for loads.

Customer Master Changes

Ensure the accuracy and completeness of the data being tested. 

Data Source Changes

We work with our clients to support simple changes in source layouts, source structure changes. Refers to the process of validating, verifying, and qualifying data while preventing duplicate records and data loss.

GoodData Service Project Design and Development

Create & Review Mapping Documents

Our team of data analysts develops a deep understanding of your source systems and target data model, allowing us to meticulously map each target attribute to its corresponding source attribute. We also document the transformation rules in great detail, ensuring development of accurate and precise data integration jobs. 

New Gooddata Service Project development

Our experts specialize in developing gooddata service project pipelines based on mapping documents, data models and data flows. There are times when data integration pipelines are completely redesigned when there are significant changes to existing data sources, new data sources are required, or target requirements have been modified significantly.

Tool Independent Designs

We specialize in creating tool-independent designs that can be easily codified in any data integration tool. We achieve this by combining mapping documents and detailed data flows.

GoodData Service Project Execution Operational Report

Report Generation

We can generate a wide range of reports in various formats such as CSV, Formatted Excel, PDF, XML, and JSON. We have flexibility to choose the format that best suits their needs.

Report Delivery

Our team provides a flexible and efficient way to receive reports through scheduled or event-based delivery.

Cross Training

We constantly cross-train our teams. This leads to increased creativity, enhanced collaboration, fast tracks career growth of our employees and reduces single points of failures.


Enhancement of Existing Data Integration Jobs

Mapping Review

Our data mappers review the existing data integration mapping documents to ensure that all the necessary rules are included, and that the specifications can be properly implemented based on the available data. 

Test Data Generation

Our team can generate a variety of test data while maintaining data integrity across hundreds of files and millions of records. Our test is also capable of simulating a variety of data integration scenarios, as well as identifying potential failure points to ensure optimal performance.

Source Data Validation

As part of the data profiling process, we not only assess the quality and consistency of the data from the source systems, but also develop a comprehensive data model of the source systems. This involves examining the data both within a system and across different source systems to ensure consistency and accuracy.

Testing and Code-Reviews

Our GoodData service project testing teams play a crucial role in ensuring the efficient functioning of GoodData service project workflows and processes. They meticulously test and review any modifications or updates made to the GoodData service project system to ensure they are error-free before deployment to the production environment. 

Production Deployment

Our team specializes in supporting production deployment pipelines utilizing GIT, which includes working across various GIT repositories and utilizing tools such as GITHub or GITLab.

New Reports / Dashboard development

GoodData Assessment

1-2 week assessment to understand the current state of GoodData, Database & Data Integration. Provide recommendations to improve performance, save costs & improve user satisfaction, save GoodData licensing costs. 

Report and Dashboard Development

Work with decision makers to understand business drivers & reporting needs. Find available data, create report & dashboard designs. Create and execute test cases prior to any deployment of reports as per the security needs of the organization.

Proof of Concept

Understand existing requirements and rapidly create a proof of concept to compare and contract GoodData with other licensed, in-house and open source technologies.

Data Management Services

Identify business and technology stakeholders, create data dictionaries, document business needs and instantiate a change management process across data integration pipelines and analytic systems.

Robust Data Model

Profile data sources and understand business needs to create Dimensional data models. Our data modelers have more than 20+ years of industry experience to ensure that models created stand the test of time.

Establish an GoodData service project framework with data mapping, data cleansing, null handling, business rules and transformation operations to prep, integrate and load data into a data model.

Data Quality Assurance

Proactively detect data quality issues in source data. Enrich data to improve the quality of data. Depersonalize data to ensure Personally Identifiable information (PII) does not get copied into lower environments.


Operations, Maintenance & Support

Support and Helpdesk

Tier 1 & Tier 2 help desk support. User onboarding support and support knowledge base documentation. Solution walkthroughs for new users.

GoodData License Cost reduction

Convert heavily used GoodData reports into custom analytic applications to save costs on GoodData licenses.

GoodData Migration Services

Migrate GoodData reports and dashboards to Power-BI or open-source custom analytic applications. 

GoodData Dashboard Performance Improvement

Analysis of slow performing GoodData reports. Report, GoodData service project and Data Model enhancements to improve performance and user experience.

Sample Solution Architecture

Delta Detection Design

We turn around failed GoodData projects?

Are your dashboards and reports getting obsolete?

Stale dashboards can quickly become obsolete and go unused. At Y Point Analytics, we keep dashboards updated to meet the evolving needs of any growing business. We continually enhance dashboards and reports to ensure they remain relevant and meet the changing analytic requirements of your organization. Additionally, we proactively monitor source data and enhance data pipelines, which helps insulate GoodData dashboards and reports from source data structure changes, ensuring their longevity and usefulness.

Is there a lack of interest in business teams to use GoodData?

Our team works closely with users to gain an in-depth understanding of their specific needs. We then create interactive and visually appealing GoodData dashboards that engage users and provide valuable insights. We employ “GoodData storytelling” tailored to each user, weaving data and insights into compelling narratives. Furthermore, our efficient data pipelines & data integration jobs ensure that the data is always up-to-date and accurate, ensuring user engagement.

Are you getting the expected ROI from your GoodData investment?

We help increase Return on Investment (ROI) on GoodData by reducing licensing costs and increasing user adoption. We help reduce manual data integration costs, by automating data loads, improve data quality, engage with users to educate them on available dashboards, instantiate data governance to drive collaboration, streamline existing ETL processes and utilize best GoodData best practices.

Worried about GoodData licensing costs?

At Y Point Analytics, we are independent and unbiased, as we are not incentivized by GoodData to sell you more licenses. Our only focus is to align our interests with yours, by delivering the best solution for your needs, regardless of the product. As a result, you can trust that we will help you save on your licensing costs, without any hidden agenda.

GoodData Best Practices

  • Avoid Unnecessary UPDATEs: An UPDATE is implemented as a combination of DELETE and INSERT. Try to design your model and loading routines to avoid UPDATEs of large tables. [2]
  • Using projections can improve performance of SQL queries running in Vertica. Based on the query and projections available for the referenced tables.[3]
  • Understand the Problem: Solve the problems by asking the good questions and gathering the requirements.[1]
  • Define the Dashboard: From the piles of notes to the Dashboard outline for a great communication to all the involved parties. [1]
  • Keep your visualizations simple and digestible: The best dashboards allow users to quickly understand high-level overview information and help themselves to more information as needed. [6]
  • Choose the right visualizations: The objective is to select the most appropriate chart type based on user needs and data. [1]
  • Establish clear and consistent naming conventions for metrics and attributes. This helps maintain a standardized structure and makes it easier for users to understand. [7]
  • Use version control to monitor modifications made to datasets, reports, and other artifacts. [5]
  • Create naming standards that are uniform for dashboards, reports, and other project components. This guarantees that the project organization is clear and consistent. [7]
  • User Security: GoodData’s architecture relies on a centralized authentication and authorization security framework to control access to services.[4]




Director of Data Opps 

As a director of Data Opps, I managed Y Point Analytics team from 2019-2022. In my 25+ years of managing teams, I have yet to come across a team with such high ethics, team work & passion to deliver. YPoint team functions like a well oiled machine, taking in complex data integration and analytic requirements and creating high-quality, well documented, performance optimized code that continues to run for years. They do all this while juggling 100’s of data pipeline requests on a regular basis. This results in minimum production issues, satisfied clients, and happy employees.




YPoint Solutions did a fantastic job implementing a state of the art 'Digital Assistant' for US Medical Affairs. The entire team was great to work with, and tailored solutions specific to our needs at GlaxoSmithKline. Amazed at how quickly the solution was implemented from the time initial conversations started. Highly recommend!

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