ANALYTICS AND BIG DATA
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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.
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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.
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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.
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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
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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
