Unleash Innovationswith Insights from Big Data Analytics

www.klouddata.com

The data growth challenge is incredibly compounded by the rise in structured and

unstructured data along with increasing user demand to extract insights from data for

better business results.

To tame this data explosion and enable big data analytics, the Hadoop platform has

emerged as the most effective tool, as it has become the storage backbone because of its

secure, stable storage for structured and unstructured enterprise data with enhanced

access.

To make this easy, KloudData leverages Solix Inc.’s Big Data Suite (BDS) platform built on

Hadoop. Solix BDS has a pre-built Information Lifecycle Management (ILM) framework to

ingest and store both structured and unstructured enterprise data in Hadoop.

cyclee f MiL an no ait ga emmr eof nn tI

Data L

ake

gnivihcrA

esirpr

etn

E

Big Data Suite

Key features of Solix BDS

Data Lake on Hadoop that provides a copy of production data and stores it “as is” in

bulk to be better described and distilled later.

Atomic level copy of data from across the enterprise not only simplifies data ingest

and store by avoiding expensive Extract, Load, Transform (ETL) process, but also

opens up possibilities for extensive big data analytics.

By applying Predictive Analytics on Solix BDS (Hadoop), KloudData arms its customers

with the tools and applications to mine the entire data set for richer, deeper, and

broader insights than previously possible.

The predictive models that we apply on Hadoop are a complex blend of statistical

methods. The culmination of the data scientist’s work may exist in the form of IBM SPSS,

KNIME, Python, R, SAS or others. To make the model accessible to business users, the

data science team must collaborate with the organization’s IT professionals to

“operationalize” the model. The IT team must re-code the model to adapt it to one of

these formats. The process is intensely manual and results in a lengthy process of

question and clarification between the data scientists and the IT team.

www.klouddata.com

Data is being generated too quickly and is changing too rapidly for manual processes to

keep pace. To overcome these challenges and accelerate deployment of predictive

analytics models we employ a standards based technology using Predictive Model

Markup Language (PMML), which removes the complexity of model-to-model translation

and data science-to-IT operationalization.

We use Zementis Inc.’s PMML-based solutions to build big data analytics applications for

our customers. After generating the predictive models in PMML format using standard

tools such as KNIME, R, IBM SPSS for the specific business problem, we rely on UPPI™, a

tool for big data scoring for our model deployment on Solix BDS (Hadoop). UPPI™ helps us

build big data analytics solutions to use the full power of predictive analytics, enabling

organizations to crack the code of their big data assets and put that insight to work.

The Zementis Universal PMML Plug-in(UPPI) enables rapid deployment of

predictive models and Delivers massively-parallel scoring for big data applications.

MODEL BUILDING DATA MINING STANDARD BIG DATA SCORING

R, IBM, SPSS, SAS, SAP

Pythom, KNIME,... Universal PMML

Plug-in (UPPI)

Healthcare provider operational optimizations: Predictive models and forecasting on

large scale data sets allow optimizations of key assets such as in-patient beds, high

value asset inventories, discovery of patient behavior and sentiments

Large scale retail analytics: Discover patterns and trends to recommend regional

promotional preferences, discover micro trends amongst customers and recommend

offers, inventory and supply chain optimization through proactive early-detection of

fast moving SKUs per region/per store

Predictive maintenance in manufacturing: Identify underperforming assets and

understand the reasons behind abnormal operation. In the same manner it prevents

equipment failures by providing early warning signs. This functionality averts loss of

power, replacement equipment, lost productivity, additional man-hours, etc.

Our big data analytics solutions cover a range of high value use cases such as:

www.klouddata.com

About KloudData

KloudData is a leading global software solutions and services provider with comprehensive, cutting-edge

capabilities in bringing together Enterprise, Analytics and Mobility technologies to offer high value business

solutions. Our primary focus is to forge a trusted partnership with our clients. KloudData’s solutions and services

help reduce costs, complexities and risks while improving operational efficiency and accelerating business growth

through improved decision making at all levels.

Headquartered in Fremont, CA (USA), KloudData has global offices in Columbia, MD (USA), Bangkok (Thailand),

Nagpur (India), Pune (India), and Mumbai (India) to provide round-the-clock solution and support to its clients.

© Copyright 2017, KloudData Inc. All rights reserved. No part of this document must be reproduced, stored in a retrieval system, transmitted in any form or by any

means through electronic, mechanical, photocopying, recording, or otherwise, without any written permission from KloudData. The information contained herein is

subject to change without notice. All product names, logos and brands are property of their respective owners.

To find out how KloudData can help your company, visit us online at www.klouddata.com

To learn more about KloudData solutions, contact globalmarketing@klouddata.com

KloudData Customer Showcase

Telecare Corporation