alten calsoft labs analytics service offerings
Post on 21-Mar-2017
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Dis
par
ate
Dat
a So
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• 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
l Har
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• 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
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Data Visualization
Data Storage Infrastructure
Data pre-processing / Harmonization / Enrichment / Analysis Data to Insights Analysis Gap
Current Scenario in Most Enterprises
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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
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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
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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
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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
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Data Visualization
Our Analytics Expertise
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Data Storage Infrastructure
Data Processing Tools
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Unified Data Analysis Platform
to perform variety of
analysis tasks on your Data
Available On Premise,
Private Cloud and Public
Cloud
Data Storage Infrastructure
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
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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?
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State wise Distributor sale report
State wise Monthly sale report
Model wise Distributor sale report Model wise Monthly sale report
Vendor Performance Analysis Dashboard
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Vendor wise Activation
Model wise Activation
Mobile Device Activation Insights
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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 Storage Infrastructure
Data Processing Infrastructure
Data Visualization
FactorDB (MetaData Layer) | Enrichment Layer | Seamless Data Access
Text Analysis Statistical Data Analysis
Graph Engine SQL Engine
Seamless APIs / Interface of choice
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
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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 Storage Infrastructure
Data Processing Infrastructure
Data Visualization
FactorDB (MetaData Layer) | Enrichment Layer | Seamless Data Access
Text Analysis Statistical Data Analysis
Graph Engine SQL Engine
Seamless APIs / Interface of choice
Player Profile analysis and free flow Graph Search for Cricket Domain
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Healthcare Payer Analytics – Member Dashboard
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Contact Us
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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 info@calsoftlabs.com in.linkedin.com/calsoftlabs @calsoftlabs
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