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Marlabs DataScience Capabilities

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  • 2016, Marlabs - Confidential 160215060/Marlabs Proposal

    Data Science Practice Overview Marlabs Data Science Capabilities

  • Founded in 1996

    2100+ employees

    Expertise across BI Value Chain DWH, Big Data, Data Visualization & Data Science

    100+ blue-chip clients across multiple verticals

    Headquarters in Piscataway, NJ USA

    Global delivery headquarters in Bangalore, India

    CMMI Level 5 assessed and certified

    2

    Global Locations

    Strategic Partnerships Awards and Recognition Verticals Serviced

    Overview

    35%

    22% 9%

    23%

    11%

    Banking,Finance,InsuranceMedia &Education

    Transportation &Logistics

    Healthcare & LifeSciences

    Retail & Others

    Marlabs Your Trusted Analytics Partner

  • Why Data Science ?

    3

    85% Global CIOs consider that improving

    insight and intelligence capabilities

    are top priorities2

    33%

    More revenue growth for

    enterprises that apply advanced

    analytics

    Increase in productivity when

    organizations increase data

    usability by 10% 17%-49%

    Return on Assets (ROA) when

    organizations increase data

    access by 10%1

    But Est. Failure Rate of

    Analytics Projects

    75%

    Est. Shortage of Data

    Scientists

    190,000

    11%-42%

    1 The Field Guide to Data Science (2nd Edition) by Booz Allen Hamilton (http://www.boozallen.com/insights/2015/12/data-science-field-guide-second-edition) 2 IBM Global CIO Survey (http://www-935.ibm.com/services/c-suite/study/studies/cio-study/) 3 IBM CFO Study (http://www-01.ibm.com/software/analytics/infographics/what-is-analytics/)

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  • Marlabs Decision Sciences - Our objective

    We help clients monetize their data assets to realize the organizational objectives in terms of enhancing revenue, profit and customer experience

  • Marlabs Business Impact led Approach towards Decision Sciences

    5

    High Quotient of Consulting Acumen

    Advanced Analytics &

    Machine Learning Capabilities

    Integrated Visual

    Story Telling

    Excellent Track Record

    in Agile Delivery

    The four building blocks that support our impact-based approach lead us to building data-driven enterprises

    Data Business Impact

  • Marlabs Data Science An interdisciplinary framework

    6

    Data Engineering

    Domain Expertise Consulting

    Data Visualization High Perf. Computing

    Statistics

    Applied Math

    Machine Learning

    Deep Learning / AI

    Cloud Computing

  • Marlabs Data Science Portfolio

    7

    Services

    Solutions

    Advisory

    Wide array of business-specific analytics service offerings coupled with delivery excellence

    It includes Customer Analytics, Marketing Analytics, Operations Analytics, etc.

    Marlabs Portfolio

    Enterprise-ready, proprietary frameworks

    Pre-built accelerators that can be easily customized and deployed

    Delivering expert advice to scale and migrate data/insights ecosystem

    Comprehensive roadmap for establishing and maintaining a world-class analytics hub

  • 8

    Our wide array of business-specific analytics offerings help us deliver high-quality solutions rapidly

    Data Science Service Offerings

  • Marlabs Solutions & Accelerators

    9

    mACETM

    An Integrated Analytics Framework for Communication Service Providers with analytical data mart, predictive models and post modelling analysis components

    Models for multiple applications - Customer Retention, Cross Sell, Up sell, Segmentation and Customer Lifetime Value

    mExcelTM

    A proprietary analytical framework developed for higher educational institutions or universities to leverage wealth of student information

    It includes pre built models for multiple applications - Student Recruitment, Retention, Course Recommendation System, and Marketing Optimization

    mAdvisorTM

    An automated data intelligence engine that mines key insights from data.

    Pre built Machine Learning algorithms mine insights from visualizations and help business decipher data and derive insights from visualization and data discovery tools.

  • Our Data Science Methodology

    10

    Develop Hypothesis

    Variable Selection

    Model Building

    Model Calibration

    Validate Hypothesis

    Business Impact Consultants @ Requirements Analysis

    ETL Specialists @ Data Transformation

    Data Scientists @ Iterative Modelling Process Structured + Unstructured+ Semi Structured

    Data Analytical Datamart

    Business Impact [email protected] packaging analytics outcomes

    1

    2

    3

    4

    5

    Design Analytics Solution

    + Determine

    Data Requirements

    Derive Business Insights +

    Integrated Visual Storytelling

    Business Problem

    Business Impact

  • Machine Learning Capabilities

    11

    CLASSIFICATION

    Identification homogenous categories based on key input parameters E.g. Churn Prediction, Risk Prediction

    PREDICTION & FORECATING

    Statistical models to predict future events or to estimate future values E.g. Market Mix Modeling, Pricing Optimization, Demand & Sales Forecasting

    CLUSTERING

    Grouping observations into categories based on similarities among the members E.g. Customer ,Product & Stores Clustering

    ANOMALY DETECTION

    Predicting the likelihood of extreme events and outliers E.g. Cyber Threat Anomaly detection, Outlier detection

    ASSOCIATION

    Uncovering the relationships between seemingly unrelated data E.g. Pattern Mining, Market Basket Analysis

    RECOMMENDATION

    Predicting what a user might or might not like based on preferences and user similarities E.g. Product Recommendation Engines

  • 12

    Our Capabilities (Technical) Our Technical Capabilities

  • Marlabs Analytics Engagement Models

    13

    Choice of Flexible Engagement models make ourselves well-positioned to be agile and nimble in delivering excellent client service

    Project Based Advisory Insights as a Service

    Centers of Excellence

    On Demand Consulting

  • 14

    Experience - Over 6 decades of combined work experience in data engineering, data visualization, data science, big data & business consulting

    Consulting - Has experience in consulting Fortune 1000 clients in areas like customer experience, business performance enhancement, marketing and sales effectiveness etc.

    Team Our data scientists hail from reputed institutions and organizations with strong back ground in math, consulting and problem solving skills

    Decision Sciences Statistics, Machine Learning, Deep Learning, Applied Math, Econometrics, Data Visualization , Cognitive Computing

    Technology Strong expertise across various tools like R, Python, DataRPM, SAS, Tableau, QlikView, QlikSense, PowerBI etc.

    Business Impact Dedicated business impact consultants to ensure success of data science projects

    Proven Experience

    Consulting Skills

    Talented Pool of Data Scientists

    Decision Science Focus

    Technology Expertise

    Business Impact led approach

    Why Marlabs for Data Science

  • THANK YOU

    15

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