Datagaps is the only company to be listed in Gartner® DataOps Tools & Data Observability market guides

Data Warehouse and Business Intelligence Services

Datagaps is led by a team of ex-oracle employees that have implemented Oracle BI Applications for Oracle. Datagaps specializes in Data Warehouse and Business Intelligence services including Architecture, Installation and Setup, Development and Testing.

Phase 1

Requirement Analysis
High Level Design
User Story Backlog

Phase 2

Low Level Design
Development
Testing
Monthly Sprints/ Releases
Architecture Services

High level and Low level designs

Development Services

ETL and BI Development

Installation & Setup Services

Operations and Maintenance

Testing Services

Automated testing using our tools

Datagaps Agile BI Development Methodology

Our Methodology makes use of a hybrid approach to Bill Inmon’s and Ralph Kimball’s where the High Level Design is done considering the data warehouse and development is done with focus on individual datamarts using Agile methodology.

Methodology : Phase 1

The goal of Phase 1 is to come up with a high level design for Data Warehouse. Some of the key deliverables for Phase 1 are well defined Report Catalog, High Level Designs for the reporting Subject Areas, Data Mapping and Logical Data Model:

Analysis:

Gather key business questions, KPIs in a report catalog.

High Level Design:

Create high level design for Reports, Subject Areas, Data Model and Data Mapping.

Release Planning:

Prioritize reports and create user story backlog for all work.

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Methodology : Phase 2

ETL Validator makes it easy to test most common ETL testing scenarios by providing out-of-the-box support. Comes with an inbuilt Query Builder.

Low Level Design:

OLAP Data Model Design (star schemas), ETL Mapping Design (source to target data mapping designs with transformation logic) and Report Design.

Development & Testing:

Development of ETL and Reports in sprints using Agile Methodology. Automated Testing using Continuous Integration.

Operations & Maintenance:

Setup development, testing, UAT and Production environments. Automate deployments.

Methodology : Roles

We recommend organizing the teams into scrums and development be done in sprints as per the agile methodology.

Customer Roles: Key roles such as Product Owner, Project Manager and Business Analyst are with the Customer so that they have a sense of ownership of the application. Datagaps Roles: Design, Development and Testing roles such as Team Lead/Tech Lead, ETL Developer, Report Development and QA Analyst can be augmented by Datagaps.

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Data Quality Monitor

Continuously assess, score, and improve your enterprise data quality using rule-based and AI-powered validation
Automated Data Quality Checks at Scale

Validate uniqueness, completeness, domain accuracy, and detect orphan records.

AI-Driven Anomaly Detection and Alerts

Identify data drift and outliers using ML-based statistical methods and IQR-based profiling.

Low-Code Rule Configuration with Data Rule Wizard

Create and deploy validation rules quickly without coding, even across large datasets.

Graphical Scoring and Monitoring Dashboard

Visualize data quality trends across models, tables, and records with actionable insights.

CI/CD and Cloud Integration Ready

Enable continuous validation across pipelines using integrated APIs and DevOps compatibility.

Test Data Manager

Generate high-quality synthetic test data securely while maintaining regulatory compliance with HIPAA, GDPR, and CCPA
AI-Powered Synthetic Test Data Generation

Automatically create realistic data based on patterns in production while masking PII/PHI.

Reduced Cost and Time for Test Data Preparation

Eliminate manual rule-writing and speed up test readiness for complex use cases.

Support for Diverse Data Formats and Models

Generate millions of records in JSON, XML, CSV, relational, or hierarchical formats.

Secure, Policy-Driven Data Masking

Ensure sensitive fields are protected using deterministic, reversible, or random masking.

Flexible Deployment Across Cloud or On-Prem

Deploy within your secure environment and integrate into automated pipelines seamlessly.

ETL Testing

Maximize the efficiency, quality, and reliability of your data pipelines through intelligent automation, validation, and scalability.
100% Data Validation Across Pipelines

Validate billions of records using Spark-powered parallel execution across on-prem and cloud sources.

Accelerated Migration and QA Cycles

Reduce migration testing time by up to 60% and QA costs by 30% with automated workflows.

Automated Metadata and Transformation Testing

Detect schema mismatches and ensure business rules are correctly applied via AI-assisted validation.

Seamless Collaboration and Governance

Enable role-based access, ALM integration, and shareable web reports to unify cross-team efforts.

Low-Code/No-Code Test Creation with AI

Empower both technical and business users to build, schedule, and execute validations using prompt-based automation.

BI Validator

Ensure accuracy, performance, and security of your Business Intelligence dashboards and reports across platforms like Tableau, Power BI, and Oracle Analytics
Automated Regression Testing Across BI Reports

Detect broken visuals or logic changes post-upgrade and data refreshes.

Cross-Platform Validation of Reports and Dashboards

Compare visuals and data across environments and BI tools with zero manual effort.

Performance and Load Testing for BI Assets

Simulate concurrent user access to measure response times and report load failures.

Access and Security Validation

Ensure only authorized groups have access to the correct records and reports.

Aesthetic and Metadata Change Detection

Identify formatting inconsistencies, filter changes, and layout drift with each release.

Products

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DataOps Suite

Intelligent Data Validation and Analytics Testing Platform with Agentic AI.

ETL Validator automated ETL testing tool

ETL Validator

Automated Data Validation and ETL Testing with Agentic AI.

BI Validator automated BI testing tool

BI Validator

Smarter BI Validation For Power BI, Tableau, Oracle Analytics – Accelerated by AI Agents.

Data Quality Monitor software

DQ Monitor

Proactive Data Quality with Agentic AI – Predict, Prevent, Govern.

Test Data Manager software

Test Data Manager

Generate compliant and realistic test data for all your testing needs, enabled by Agentic AI.

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