Inability to define data nomenclature
Unable to maintain data quality and trust
Lack of expertise to handle variety of databases
Prohibitive cost to analyze unstructured data
Coordinated use of data points that lead to high efficiency data ops
Superior data usability, reliability, and connectivity
Apps that can significantly scale will reduce runtime maintenance costs
3X reduction in app data costs by processing information in ETL stage
Maintain a data health check at the time of ingestion in order to score and identify bad data sources
Comprehensive view of customers, products, channels, and campaigns
We maintain data sanctity for data marketing (Camptag), sales (accounts, contacts, leads), and web pages.
We build scalable solutions using NoSQL databases like MongoDB; graph databases like Neo4J; and postgres databases like Redshift
Natural Language Processing-based text mining and OCR based PDF mining at the time of ETL
Analysts skilled in Big Data
Proven use cases for digital marketing across multiple industries
Data governance, process rigor, automation, and optimization
We work with streaming, unstructured, and large volumes of data across Azure, GCP, Apache, and AWS
