alten calsoft labs analytics service offerings

ALTEN Calsoft Labs’ BI & Analytics Solutions Overview

Sep, 2015

INNOVATE | INTEGRATE | TRANSFORM


Dis

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ate

Dat

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es

• With a diverse range of repositories, various data types and discreet external sources of data, enterprises are finding it difficult to derive business intelligence in a seamless way.

Mak

ing

Dat

a R

ead

y • Organizations have to spend more than 80% of the time and cost on the pre-processing stage of data before actually leveraging the benefits of application analytics. Sp

ecia

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are

• Many data-driven applications are dependent on specific hardware appliances from selective vendors to operate effectively, incurring huge deployment costs especially for small and medium enterprises (SMEs).

Demand for an Unified Data Analysis Platform that can process data effectively and reduce development time of applications for customers.

Key Industry Challenges

©ALTEN Calsoft Labs 2


Data Visualization

Data Storage Infrastructure

Data pre-processing / Harmonization / Enrichment / Analysis Data to Insights Analysis Gap

Current Scenario in Most Enterprises



Processing Deriving Insights

Storage Enrichment

Structured

Unstructured

Semi Structured

Visualization of data

Capturing

Data falls into 4 categories: 1) Web and Social Media 2) Machine to Machine 3) Big Transaction Data 4) Human generated Data Values is multi-fold when it is correlated with publicly available data sets like weather, YELP etc.

Typical Data to Insight flow



Typical Time and Complexity

Insights Raw Data

Capturing Data

Pre Processing Analysis

Post Processing

More than 12% of time is spent here

and is complex. Domain specific

More than 80% of time is spent here.

Complex task

Connectors need to be written. Moderately

complex

Involved and moderately complex.

Need Creative skill for UI/UX



Less overall time spent, in gaining insights

Decision Makers get insights, quickly

Data Scientists have more time to spend on Business

Problems

How ALTEN Calsoft Labs helps



Our Data to Analysis flow

Captured Data:

Step 1

Semantic Harmonization

Step 2

Enrichment of Data

Step 3 Data Processing

Step 4

Visualization of Data

Step 5

• Web and Social Media

• Machine to Machine • Big Transaction Data • Human generated

Data

• Visual Semantic modelling

• Content based storage

• Supports all form of best of breed NoSQL technologies

• Semantically link data across the source

• Automatic creation of Datafolds and query based on datafolds

• Extensible knowledgebase

• Distributed Query Engine

• Distributed Graph engine

• Recommendation engine

• Statistical programming support

• Visualization of Data

• Push and Pull support

• Real time streaming visualization



Data Visualization

Our Analytics Expertise



Data Processing Tools


Unified Data Analysis Platform

to perform variety of

analysis tasks on your Data

Available On Premise,

Private Cloud and Public

Cloud


Data Processing Infrastructure

Data Visualization

MetaData Layer | Enrichment Layer | Seamless Data Access

Text Analysis Statistical Data Analysis Graph Engine SQL Engine

Seamless APIs / Interface of choice

Our Solution - Unified Data Analysis Platform



Features Description

Smart Unified Data Lake Unification of Structured, Un Structured and Poly Structured Data and semantically standardizing the data. This enables “Free Form Search” to get the insights, for e.g. search like “Activation in Rajasthan” to get a chart, can be achieved

Ease of Cognitive Application Development

Data Analyst, UI/UX developer on their language of choice (JVM based languages, Python) can develop applications without knowing anything about “Big Data” or “NoSQL” technologies.

Efficiency with Data Scientists

Data Scientist can readily develop models without worrying about Data pre-processing using their tools of choice (SPSS, SAS,R etc.). Models developed can be reused across Business Units

Stream, Interactive and Batch Processing

Models or Cognitive applications once developed, can be enabled streaming for real time requirements.

Decisions based on Smart Data

Right decisions at the Right time to the Right device for the Decision Makers. Decision makers can see the story on their date as never before, drilling down from 30000 ft to grain level

Why Alten Calsoft Labs’ Solution?


SUCCESS STORIES


State wise Distributor sale report

State wise Monthly sale report

Model wise Distributor sale report Model wise Monthly sale report

Vendor Performance Analysis Dashboard



Vendor wise Activation

Model wise Activation

Mobile Device Activation Insights



Challenge Solution

1. Handle Variety of Messages • Each probe captures varied number of

parameters based on the deployed location and DPI capabilities

2. Handle Velocity of Messages • Probe messages are received once every

30 seconds per device scaling up to 3-5 million devices

1. Handle Volume of Messages • 2 MB of data is received per 30 second

per device, accumulating up to approx. 1.4 GB per day per device

1. Raise Alarms in Real-time • Raise alarms based on the captured

values as soon as the message is received using real-time analysis and update the operational dashboard

1. Periodic reports • Generate weekly/monthly reports



Data Visualization

FactorDB (MetaData Layer) | Enrichment Layer | Seamless Data Access

Text Analysis Statistical Data Analysis

Graph Engine SQL Engine


Captured 37,000 request/sec with 4KB of data and 47,000 request/sec with 2KB of data

Real-time parameter extraction and alert generation using FORMCEPT’s pre-processing modeling engine built on Storm

Scalable Storage Infrastructure based on HDFS and HBase with Elasticsearch as the indexing engine for alarms and views required by dashboard

Interactive Real-time Dashboard

Periodic reports using batch jobs and exploratory data analysis using Spark interface

IPTV Data Analysis based on data captured through Deep Packet Inspection



Challenge Solution

1. Scalable Storage for Analysis • Analyze data up-to ball-by-ball level • Analyze blogs, comments, etc. • Relate images, videos, commentary

2. 360◦ Player Profile Analysis • MySQL had player profile data scattered

across more than 150 tables • Difficult to collate the data across MySQL

tables due to excessive joins

1. Provide seamless query interface • Move to graph search and free flow

query for the end users to fetch player profile and apply filters, like- “Sachin Tendulkar at Wankhede Stadium”

1. Move to predictive analytics • Predict outcomes for on-going matches

Seamless data import and on-the-fly join from existing MySQL tables – Real-time and periodic (Move towards Lambda Architecture)

Batch processing for insights, real-time track for records and on-going events

Cricket Ontology designed from scratch to provide Graph Search for cricket domain using FORMCEPT’s Knowledgebase and Graph Engine

Interactive Responsive Profile Dashboard

Custom visualization components to show the insights and player records



Data Visualization

FactorDB (MetaData Layer) | Enrichment Layer | Seamless Data Access

Text Analysis Statistical Data Analysis

Graph Engine SQL Engine


Player Profile analysis and free flow Graph Search for Cricket Domain



Disease Surveillance Dashboard



Sample Provider Dashboard



Sample Payer Dashboard



Sample R&D Analytics – Mutations Dashboard



Healthcare Payer Analytics – Member Dashboard



Contact Us

22

Bangalore – Corporate & Development Centre 196, Bannerghatta Road, Bangalore 560 076. Phone: +91 80 4034 3000 Bangalore – Design and Development Centre 2 No.25, Level-5, Shankaranarayana Building, M.G. Road, Bangalore-560001 Phone: +91 (0)80 42 41 42 41 Chennai - Design and Development Center 3 1st & 2nd Floor, ESPEE IT Park, Plot No.5, Jawaharlal Nehru Road, Ekkatuthangal, Chennai - 600 032, Phone: +91 44 4595 9100/01/02/03 Mysore – Embbedded Engineering and Development Centre 64-C1, Hootagalli Industrial Area, Kasaba Hobli, Mysore - 570 018. Phone: +91 0821 2404 900

INDIA

40 avenue André Morizet, 92514 Boulogne-Billancourt, Phone : +33 (0)1 46 08 70 00

France

USA

Head Office 2953, Bunker Hill Lane, Suite 203, Santa Clara, CA 95054. Phone: +1 (408) 755 3000 Fax : +1 (925) 249 3031

http://www.altencalsoftlabs.com [email protected] in.linkedin.com/calsoftlabs @calsoftlabs

http://www.altencalsoftlabs.com/

mailto:[email protected]

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https://twitter.com/calsoftlabs

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alten calsoft labs analytics service offerings

Data & Analytics