Solution Accelerators
Data to Intelligence Is a Journey that Neoware Orchestrates
We enable this journey with our consulting, data engineering, AI/ML, Gen AI and BI capabilities. In each of these service lines, we have built tools and methodologies (solution accelerators) that embed best practices, provide reference points and speed up the implementation journey.
Readiness Assessment Tool for AI Maturity
10 minutes, 20 questions to assess your readiness for AI maturity across data, technology, organization, security, and business value. Get a free, actionable report to transform your data strategy with confidence.
Readiness Assessment Tool for AI Maturity
AWS Data-Driven Everything (D2E) Methodology
Neoware is one of the select few global AWS Data-Driven Everything (D2E) program which can help assess, prioritize, and scope use cases for Gen AI implementation to go from pilots to real world use by your employees and customers.
AWS Data-Driven Everything (D2E) Methodology
Neoware and AWS D2E Approach
Our approach drives continuous improvement through its data-driven "Data Flywheel" methodology that promotes continuous improvement through iterative discovery and implementation. The process begins with discovering insights across five key dimensions: organization, technology, data, security, and business value/use cases.
We identify specific use cases, establish business requirements and value indicators, implement, monitor and measure for continuous improvement. This iterative process not only ensures measurable progress but also mitigates risks and minimizes upfront investments while delivering consistent business value incrementally.
Neoware and AWS D2E Approach
Data Platform Reference Architecture
Based on a set of guiding principles for a modern cloud-based data ecosystem our Data Platform Reference Architecture is a reference point and benchmark for data platform design and engineering. The reference architecture includes overlays for AWS, Microsoft, and GCP, incorporating appropriate deployment considerations and is refreshed continously with experience and technology developments.
Data Platform Reference Architecture
Data Validation and Reconciliation (DVRC)
The DVRC tool enhances data integrity by validating and reconciling data across various sources. This ensures that your analytics are based on accurate and consistent information, which is crucial for informed decision-making.
Data Validation and Reconciliation (DVRC)
Data Engineering Toolkit
A collection of pre-built tools, utilities, and accelerators designed for implementing data engineering solutions.
- Ingestion Utility
- DAG-Factory Accelerator
- Crawler for GCP
- NeoLoader
- Code Generator for AWS Glue
Data Engineering Toolkit
Database Migration Toolkit
To accelerate data migration by providing reliable data definition conversion and automated scripts for the migration process.
- Data Definition
- SQL Migration
- Data Migration
- Process Migration
Database Migration Toolkit
Integration Toolkit
A proprietary solution that enables configuration-driven data transformation and integrates data between enterprise applications that support REST, SOAP, and SFTP protocols or communicate through flat files.
Integration Toolkit
AskNeo
Award winner at the Snowflake Arctic + Streamlit AI Hackathon, AskNeo is a conversational AI interface designed to empower users in interacting with their reports intuitively. Users can ask questions and receive real-time insights, enabling data-driven decisions by enhancing existing BI systems.
AskNeo
Readiness Assessment Tool for AI Maturity
10 minutes, 20 questions to assess your readiness for AI maturity across data, technology, organization, security, and business value. Get a free, actionable report to transform your data strategy with confidence.
Readiness Assessment Tool for AI Maturity
AWS Data-Driven Everything (D2E) Methodology
Neoware is one of the select few global AWS Data-Driven Everything (D2E) program which can help assess, prioritize, and scope use cases for Gen AI implementation to go from pilots to real world use by your employees and customers.
AWS Data-Driven Everything (D2E) Methodology
Neoware and AWS D2E Approach
Our approach drives continuous improvement through its data-driven “Data Flywheel” methodology that promotes continuous improvement through iterative discovery and implementation. The process begins with discovering insights across five key dimensions: organization, technology, data, security, and business value/use cases.
We identify specific use cases, establish business requirements and value indicators, implement, monitor and measure for continuous improvement. This iterative process not only ensures measurable progress but also mitigates risks and minimizes upfront investments while delivering consistent business value incrementally.
Neoware and AWS D2E Approach
Data Platform Reference Architecture
Based on a set of guiding principles for a modern cloud-based data ecosystem our Data Platform Reference Architecture is a reference point and benchmark for data platform design and engineering. The reference architecture includes overlays for AWS, Microsoft, and GCP, incorporating appropriate deployment considerations and is refreshed continously with experience and technology developments.
Data Platform Reference Architecture
Data Validation and Reconciliation (DVRC)
The DVRC tool enhances data integrity by validating and reconciling data across various sources. This ensures that your analytics are based on accurate and consistent information, which is crucial for informed decision-making.
Data Validation and Reconciliation (DVRC)
Data Engineering Toolkit
A collection of pre-built tools, utilities, and accelerators designed for implementing data engineering solutions.
- Ingestion Utility
- DAG-Factory Accelerator
- Crawler for GCP
- NeoLoader
- Code Generator for AWS Glue
Data Engineering Toolkit
Database Migration Toolkit
To accelerate data migration by providing reliable data definition conversion and automated scripts for the migration process.
- Data Definition
- SQL Migration
- Data Migration
- Process Migration
Database Migration Toolkit
Integration Toolkit
A proprietary solution that enables configuration-driven data transformation and integrates data between enterprise applications that support REST, SOAP, and SFTP protocols or communicate through flat files.
Integration Toolkit
AskNeo
Award winner at the Snowflake Arctic + Streamlit AI Hackathon, AskNeo is a conversational AI interface designed to empower users in interacting with their reports intuitively. Users can ask questions and receive real-time insights, enabling data-driven decisions by enhancing existing BI systems.
AskNeo