Data Engineering

DATA STRATEGY

Data strategy and design services enable our clients to maximize return on their data assets using traditional and/or modern data architectures.

• Blueprint strategy for enterprise data
• Target operating model for data programs
• Tools selection and advisory across the entire data landscape
• Reporting rationalization to drive standardization

DATA PROCESSING

Our data processing solution helps organizations to maintain the integrity and veracity of the data that is generated through various channels and sources. We assist organizations in increasing their data information value to make data more suitable for their business use with following services:

• Data Acquisition: Sourcing the data from different systems
• Data Cleansing: Detecting and correcting errors
• Data Conversion: Converting data from one format to another
• Data Disambiguation: Interpreting data that has multiple meanings
• Data De-duplication: Removing duplicate copies of data
• Data Enrichment: Refine and improve raw data
• Reference Data Services: For verification of quality of data
• Data Profiling: Examine and collect statistics about data
• Data Monitoring: Routinely check data for quality control
• Data integration and data processing automation services for structured/unstructured data
• Data enrichment data solutions for building data fabric for metrics reporting and analytics
• Data wrangling/munging services for advanced analytics, machine learning, and artificial intelligence purposes
• Develop data pipelines to facilitate production grade end-to-end pipeline of data-to-value that takes data solutions from sandbox environments and rolls them out to end users

DATA ARCHITECTURE

Assess, design, overhaul, and maintain data ecosystems that include modern architectures (such as data lakes, federated data stores, cloud-based data hubs) and traditional data ecosystems (such as Datawarehouse, operational data stores, and Datamart).

• Data modernization – Cloud/Datawarehouse/hybrid data consolidation
• Data as a service – Big data and data lake services for data enrichment
• Data visualization and self-service BI enablement for build, migration, and upgrades
• Adopting single source architecture – We can help you choose and build architecture to tackle a range of issues. With the optimum solution, you can reduce duplicated or conflicting data, simplify data flows, and fix data quality issues with less effort.

DATA GOVERNANCE

Manage availability, usability, integrity, and security of data employed in an enterprise. Devise a sound governance program, including a governing body, with a defined set of procedures as well as a plan to execute them. Data governance for quality, master data, metadata/cataloging, archiving, and security.

Auditing, compliance, and security are chief concerns for most companies.

Nfinity can help your organization have a consistent view of data along with populating metadata, where appropriate, with the right authentication and authorization. This will provide a clear path to building new and emerging strategies of the future.