Data Analytics Stages
Data Maturity in Organizations
Clustrex collaborates with organization across a variety of domain to move them upto the highest levels of maturity in their data journey where DATA is the key business differentiator.
Extracting insights from data and enabling, Data-driven Decisions, Healthcare, Energy, Education, and Transportation.
Onboarding the data from various sources like API, XML, JSON, Databases, SpreadSheets, CSV, Webpages, and more.
Technology: AWS Lambda, Glue, EMR, Nifi, Python, Apache Spark, HDFS, ETL Talend
Cleaning, Parsing, Structuring, Deduplication, Enrichment, Validation.
Technology: Python, Pandas, Numpy
Build large scale data warehouses that support analytics tools, dashboard by storing data efficiently, delivering results to many concurrent users.
Technology: PostgreSQL, AWS RDS
Helps in having common data definitions, avoiding data silos and inconsistencies, improving data quality, enforcing policies to prevent misuse and errors, ensuring regulatory compliance.
Technology: Data Dictionary, Policy Management and Access control, Audit logs
In the Big Data world, data visualization tools are key to analyze large scale information and implement data-driven decisions. Visualization uncovers trends, patterns and outlier in data.
Technology: Tableau, AWS QuickSight, D3.js
Extraction of meaningful information from semi structured data, and images is key to many industries and domains. User our data extraction as a service to pull information and drive workflows or deliver insights.
Deduplication is a process of identifying and eliminating redundant data from a dataset. Redundant data is becoming a critical issue for organizations across domains such as healthcare, finance, retail, education, and almost anywhere else.