Advana

IMPLEMENT
BIG DATA
TECHNOLOGIES
FASTER.

WHAT IS ADVANA

Advana is a user-friendly, intuitive and web-based advanced analytics and machine learning solution which harnesses the power of Apache Spark to analyze data (big and small) and deliver actionable results in a swift manner.

In addition to analytics algorithms like regression, classiﬁcation and text mining, Advana also provides connectivity to access data from diverse data sources like HDFS, JDBC compliant databases and NoSql databases. Simple and complex data transformations are available in the tool to prepare the data to make it analytics ready.

WHY ADVANA

Increasingly, enterprises across the world are embarking on the Big Data bandwagon and are seeking to use Apache Spark, one of the most popular Big data technologies. However harnessing Apache Spark means investing time and efforts to develop algorithms with the same. The high training costs are an other entry barrier too. Here's where Advana comes in, as an out-of-box solution. Advana is fully conversational with Apache Spark in the following ways:

Equipped with the latest Spark Machine Libraries

Ease of integration & usability

Simple, menu-driven, drag&drop interface

No need to code: Download. Install. Start using.

Auto integration of Spark updates: never gets out-dated.

CAPABILITIES

Machine learning algorithms such as classification, regression, clustering, and collaborative filtering
Text mining capabilities like text extraction, hashing and text grouping
Featurization: feature extraction, transformation, dimensionality reduction, and selection
Pipelines to execute a group of algorithms simultaneously
Transformation capabilities like filter records, data split, file merge, reduplicate records, use of text, numerical and logical functions
Connectivity to file systems like HDFS and FTP and JDBC/NoSQL databases

FEATURES

Ability to develop and score the models at the same place
Facility to view source code and log to monitor analytics execution at real time
Ability to conﬁgure one or many analytics sandboxes as repository of data

USE CASES

Campaign lead generation
Targeted price setting
Customer Segmentation
Customer churn analysis
Credit risk analysis
Product recommendation
Asset Maintenance and Reliability Analysis

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Advana

IMPLEMENTBIG DATATECHNOLOGIESFASTER.

CAPABILITIES

FEATURES

USE CASES

IMPLEMENT
BIG DATA
TECHNOLOGIES
FASTER.