Bizintel Inc

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Bizintel Inc

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About Bizintel Inc

Bizintel360 provides business ready analytical application that enables
companies to implement quickly with limited risk and at a fraction of the
cost required to build traditional business intelligence or analytical
solution. In addition, Bizintel360 works with all enterprise data source
like RDBMS Databases (Oracle, mysql, MSSQL, Teradata, and Salesforce),
social media data sources, flat files like xml, html, csv, pdf, logs, txt etc.
Challenge of Data types with varied data source
Data coming from various sources are of varied nature and from
different vendors. Some data resides in Oracle Database, Some in
Salesforce, some in SAP to teradata and some in form of text and
content in social media. To make relationship with this various data
types and varied data source in itself a challenging and laborious task.
Bizintel360 solution ease the task of making unstructured data into
structured and make the relationship between those structured data
sources in easy automated fashion
Challenge of data transformation, cleansing and making it
available of analytics
Collecting data from various sources and making sense out of it is a very
daunting task. Clean, transform and make it available for analytics with a
centralized data store is the conventional and resource dependent
activity. Bizintel360 takes care of all this activities and ease the
development activities.

Bizintel Inc Key Features

  • Big data analytics,
  • Real time data Streaming
  • Structured and unstructured data sources
  • No ETL required
  • NO Datawarehouse required

Bizintel Inc Reviews

5.0

Out of 5 stars
(1 Review)

Excellent!

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Bizintel Inc
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from bizdata

Monday, April 15, 2019

Excellent product. One stop solution for all the problems Bizintel360 is unique, there is NO ETL, NO Data-warehouse and NO Data Models. Hence the speed to have visualization of charts and graphs is rapid with almost no technology overhead and no more investment in those complex technologies.It supports both structured and unstructured datasets

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This page was last updated 12 April 2019 04:42