Analance Data management (ADM) is one of the five modules in the Analance Platform capable of preparing, transforming, synchronizing and cleaning data. It is a solid, well-designed and documented ETL system that makes data consolidation easy for both data engineers and business users.

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INFOSHEET
ADM KEY BENEFITS
A Fast and Cost-Effective Way to Connect and Transform Data
ADM is an enterprise data integration software that is easy to connect to over 40+ data
connectors and 28 transformation tools that support standard and emerging requirements
and data sources like videos, social, IoT, server logs, spatial data, open or crowdsourced data,
and more.
Easily Build and Maintain a Golden Data Record
Building and maintaining a single view of a customer is a challenging task for any organization.
ADM enable users to easily consolidate customer data from disparate sources into a single
platform and improve data quality with data transformation and cleaning tools.
Make Better, Faster Decisions Based on Good Data
ADM unifies data from over 40+ data connectors and with over 28 transformational tools,
users can distill data for accurate, more reliable data outputs.
Easily Carry Out Complex ETL (Extract, Transform and Load) Processes
ADMcanbeusedbybothexpertsandnoviceusersbecauseofitsbuilt-in-wizardandworkflows.
ADM ETL tool goes beyond the typical text based, technical interfaces. ADM’s enhanced GUI
makes data handling easy and intuitive.
Superior ETL Tool that is Completely Stand Alone
Most existing analytics platforms have an inferior ETL process to prepare and clean data for
analysis. ADM connects to and unifies multiple data sets to create a standalone data warehouse
that is compatible with any analytical tool in the market, not only Analance.
Analance is being used by small, medium and very large renowned enterprises in
Telecommunications, Financial Services, Healthcare, Pharmaceutical and Life Sciences, Retail
and Education.
ANALANCE
DATA MANAGEMENT
Analance Data management (ADM) is one of the five modules in the Analance
Platform capable of preparing, transforming, synchronizing and cleaning data. It is
asolid,well-designedanddocumentedETLsystemthatmakesdataconsolidation
easy for both data engineers and business users. ADM easily integrates with
third party analytical platforms, but as it is a part of Analance, users can easily
adopt ADM’s simplified UI to perform complex data integrations without any IT
intervention. Unify disparate data sources with ADM for a single version of truth
and access good data for analysis through other Analance modules like AAA, ABI,
AIoT and AAI with a click of a button. Work with a single, secure platform designed
to provide more reliable data outcomes.
WHO USES ANALANCE?
WHY DATA QUALITY IS SO
IMPORTANT?
High-quality data is a critical success factor
for a company because of the dependence on
fact-based decisions.
TRANSFORMATION
TOOLS
28+
DATA CONNECTORS
40+
COMPATIBLE WITH OTHER
ANALYTICS PLATFORMS
100%

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HOW DOES ANALANCE WORK?
ADM is one of the five modules in the Analance Platform that prepare, transform, synchronize and clean data and allow other Analance
modules to seamlessly connect to a data warehouse. Data management, predictive modelling, and business intelligence – all from a single,
easy-to-use data science platform. Everything from system administration and maintenance to workload performance and training is much
easier, leading to a much lower TCO for the solution.
TM
Intelligence to Decision Making
ABOUT DUCEN
Ducen IT helps Business and IT users of Fortune 1000 companies with advanced analytics,
business intelligence and data management through its unique end-to-end data science
platform called Analance. Analance is an enterprise-class, state of the art integrated
platform that delivers power and ease of use to business users and data scientists with a
seamless experience and platform scalability to support business growth.
For more information please visit www.analance.com
ADM FEATURES
ANALANCE DEPLOYEMENT
OPTIONS
ANALANCE PLATFORM
SYSTEM REQUIREMENT
CLIENT SYSTEM
REQUIREMENT
Connect with 40+ Data Connectors Some Transformation Tools
Big Data Sources (Hadoop & Hive)
API (SharePoint, Odata)
RDBMS and Files
Cubes
Social Media
Operating
System:
Processor:
Memory:
Disk Space:
Windows Server 2016 R2 Standard
64-bit Edition
Intel x64 Based Architectures
2.6 GHz Six Core Processor or higher
32 GB or higher minimum
100 GB minimum; 150 GB or higher
recommended
Windows
Browser
Support:
Mac Browser
Support:
Processor:
Memory:
Internet Explorer 11, Mozilla
Firefox*, Google Chrome*,
Opera*
*Latest and -1 version
Safari 10
Intel Core Duo compatible or
higher recommended
2GB minimum; 4 GB
recommended
Cloud
On-Premise
Hybrid
No hardware investments required!
Easily scale resources horizontally or
vertically to meet organizational needs.
Maintain control over enterprise data
and adhere to in-house security policies
to protect confidential data.
Combine on premise, public, and private
cloud options. Control how data is
accessed.
STRING
Character Functions
Matched Grouping
Matched Reference
Term Extraction
Term Reference LOGICAL
Many to One
Reference
Duplicate Column
One to Many
Sort
Calculated Column
Slowly Varying Dimension
Row Sampling
Percentage Sample
Data Conversion
INTEGRATION
Column Export
Column Import
Join
Custom Join