ANALYTICS AND BIG DATA
Analytics are key to efficient supply chains, facilitate customer insights, design efficient logistics systems, manage budgets and create optimum plans that result in maximising spends.
Every year, enterprises generate billions of gigabytes of data. This data - when properly analyzed and utilized - can be an extremely valuable asset and a highly competitive tool.
Typical Data Sources include the following:
Internet Data: comprising of social media, social networking links
Primary Research: surveys, experiments, observations
Secondary Research: industry reports, consumer data and other business data
Location Data: mobile device data, geospatial data
Image Data: video, satellite image, surveillance
Supply Chain Data: vendor catalogs and pricing, quality information
Device Data Sensors: RF devices, telemetry
WHAT WE DO
At InfiniValue, we build business analytical solutions, data driven applications and provide consulting services for better insights into enterprise data.
Our offerings encompass:
Data Engineering and Information Management
Data Science and Advanced Analytics
Business Intelligence and Data Visualization
Platform Engineering and Support
Data driven Apps and Products
Cloud Solutions Enablement
Our technology footprint in Analytics space spans:
RDBMS (MySQL, Oracle, Sybase, DB2, SQL Server)
NoSQL DBs: DataStax, Cassandra, MongoDB
Hadoop - SCOOP, PIG, HIVE, Mahout, HBase MapR & Hortonworks
R/Python/Java
Spark: Mlib, GraphX, Sream
Tableau, PowerBI, Lumira, Qlikview, Paxata
