Mactores - About Us

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  • Mobile | Media | Big Data | Analytics & ML

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  • Key People

    Balkrishna Heroor

    CEO + Principal Consultant

    California & Mumbai

    Nandan Umarji

    COO + Principal Consultant

    Mumbai

    Subhasish Ghosh

    Associate Principal Consultant AWS,

    AWS Practice Head,

    Mumbai & Bangalore

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  • Consulting firm for Mobile, Media, Big Data, Predictive & Prescriptive Analytics,

    Machine Learning (ML) & IIoT/IoT on Cloud

    Specialize in

    200+ Customers Globally eCommerce startups, Media, Gaming, Healthcare, Pharma, Manufacturing, Retail,

    Engineering, BFSI, Gov & Education, IT/ITES

    Key Facts

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  • Key Facts

    Years in Technology: 12

    Successful Cloud Migrations: 300+

    Successful Digital Transformations for Customers: 15

    Machine Learning Projects: 16

    Cloud Engineers & Solution Architects: 25

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  • Select Customers

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  • Recognition & Awards Microsoft Partner Championship; Champ of West 2013

    Microsoft Partner Championship; Regional Champion 2014

    Microsoft Partner Summit 2015: National Consumption Partner of 2015

    CIO Review 100 Most Promising Microsoft Cloud Solution Providers (Globally) 2015

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  • Locations

    HQ, Mumbai. IN

    Menlo Park, CA, US Bellevue, WA, US

    Bangalore, IN New Delhi, IN

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    Sydney, AUS

    Mumbai

    Bangalore

    New Delhi

    Menlo Park

    Bellevue

    Sydney

  • Cloud Assessment Framework

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  • Scale

    Embed

    Transform

    Acquire

    Organise

    Analyse

    GM Level CXO Level

    IntelligenceFunction

    Data Supply Chain

    Focus Analytics BusinessTechnology

    Data Warehouse Analytics Decision

    Strategic Asset for Competitive Advantage

    Data Management as a Cost of Business

    Volume, Velocity, Variety Value

    Action

    Organization - wide

    Multiple Business Units

    Sponsor

    Mactores Big Data Execution Framework

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  • Deployment Expertise

    Mobile Big Data & IoT

    Mobile App Design for Android,iOS, Windows platforms

    In-house Dev + UX + QA teamfor Agile dev & app rollout

    Integration with AWS MobileServices: API Gateway Services AWS Cognito Amazon SES Amazon SNS Amazon SWF Amazon S3

    Analytics Machine Learning

    (ML)

    Media

    Expertise in implementing Amazon EMR

    Mactores Big Data ProcessingFramework for BFSI, Telecom,Healthcare, Retail & Media

    Capabilities include building BigData Ingestion, Process, Analyzesystems including:

    Amazon Redshift

    Amazon Kinesis

    Amazon Kinesis Firehose

    Amazon Datapipe

    Amazon SWF

    Apache Spark

    Apache Storm

    Apache Kafka

    Apache Samza

    Expertise in building real-time,interactive & batch AnalyticalEngines for businesses forPrescriptive & Predictive Analysis

    Capabilities include building Analytics platforms with: Amazon Redshift Amazon Kinesis Amazon QuickSight (in preview) Datazen Tableau

    Mactores is in Machine Learning since year 2010. Working on multiple Cloud and on-premises solutions like Apache Mahout, Weka, R, StatsPro, MATLAB, AWS Machine Learning

    Capabilities include building: recommendation systems data cleaning systems demand & sales forecasting threat & fraud detection systems sentiment analysis churn analysis real-time competitive price

    predictions

    Expertise in building mediasolutions on Cloud using FFMPEG,OpenCV, Wowza, AmazonTranscoder Service

    Capabilities include building: Video workflows Object detection High-scale Media Encoding High-scale Live Streaming Video Text Search

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  • Specialization in eCommerce & Enterprise Use Cases

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  • Intelligence for your Business

    BI Made Easy

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  • Problem Statement

    Old Guard Solutions with Expensive Licensing

    Redundant CapEx

    Long Purchase Cycles

    Non-Recovery of Un-Utilized Resources & Time

    Resource Hungry VMs/Servers for Processing

    Lengthy Report Generation Hours (E.g. 8-9 Hours for QlikView)

    Mobile + Tablet Data Visualization Dashboards not available

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  • Solution

    Play

    Sample Use Case at an Indian MNC: SAP Oracle Data pulled into Amazon Redshift for BI Data

    Warehousing & Dashboards using Datazen with near real-time report generation

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  • Solution Workflow

    Mactores helped the organization leverage Amazon Redshift

    warehousing on Amazon Web Services (AWS) instead of QlikView

    warehousing which is Resource Intensive and 8 hours of Data Refresh

    Mactores delivered a Desktop + Tablet + Mobile Dashboard via Datazen

    using Amazon Redshift as a Data warehouse.

    Mactores developed and designed an Amazon Redshift warehouse with

    optimal design to keep Amazon Redshift costs minimal.

    Mactores designed the automation of Data Flow from SAP to Amazon

    Redshift & automated reports to be shared via Amazon SES &

    Dashboards via Datazen Mobile Application (which is FREE).

    Mactores designed the Security & Authentication of QlikView and

    Datazen via Active Directory deployed with SAP to enable users

    authentication, authorization & access.

    OR

    Datazen AWS QuickSight

    (currently in Preview)

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  • Predict, Dont Just Exhibit

    5Analytics Case Studies16

  • KEY CHALLENGES

    Customer Senior management had poor

    visibility into departmental & sales related KPIs

    Customer BI team required real-time

    dashboards for tracking key performance

    metrics especially during festive seasons

    BUSINESS CONTEXT

    Customer is a furniture and home online

    marketplace headquartered in Mumbai; known for

    its differentiated product range across categories

    like Furniture, Home Dcor, Furnishings, Lamps &

    Lighting, Kitchen & Dining, Appliances,

    Appliances, Bath & Housekeeping.

    SOLUTION

    Mactores built Machine Learning (ML)-based

    Demand Forecasting engine

    CXO Business Intelligence (BI) Dashboard using

    Datazen containing Sales, Marketing, Finance

    KPIs

    Content recommendation engine for users

    Case Study #1: Leading Online Furniture & Home Dcor Marketplace

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  • KEY CHALLENGES

    Customer Senior management had poor

    visibility into acquisition channels, spending

    versus ROI, landing page analysis &

    performance metrics

    Customer BI team required real-time

    dashboards for tracking KPIs

    BUSINESS CONTEXT

    Customer is the leading mobile games publisher

    in emerging markets of India, Middle East and

    Africa focused on 2 billion consumers. Besides

    building a real-time Analytics platform for

    themselves; customer wished to become a

    Services provider to other game developers.

    SOLUTION

    Mactores engineered a real-time 1,000,000,000

    events ingestion architecture on AWS

    CXO Business Intelligence (BI) Dashboard using

    Datazen containing Sales, Marketing, Finance

    KPIs

    All KPIs are in real-time across geo-locations

    Case Study #2: Leading Mobile Games Publisher in Emerging Markets

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  • KEY CHALLENGES

    Poor inventory management led to wasteful

    orders & stocks across cities in India

    Poor personalized email campaigns led to

    wasteful resources allocation and poor

    CPC/CTR and actual conversions into sales

    BUSINESS CONTEXT

    One of Indias largest retails chains including retail

    supermarket/hypermarket chains, fashion outlets.

    Also promotes FMCGs like Tasty Treat, Fresh &

    Pure, Clean Mate, Ektaa, Premium Harvest, Sach

    etc. 35,000+ employees with annual USD 140M

    revenues.

    SOLUTION

    Mactores building a Machine Learning (ML)

    based Predictive Analytics system which will

    help in solving predicting Inventory across

    retail outlets during normal & festive seasons.

    Also lead to better ROI in email campaigns

    Case Study #3: Demand Forecasting for Indias Biggest Retail Group

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  • KEY CHALLENGES

    Lack of an end-to-end data warehousing

    system.

    Lack of Business Intelligence (BI) systems

    resulted in poor visibility of tax collection for

    more than 2,000,000 companies in the region.

    BUSINESS CONTEXT

    The Accounting and Corporate Regulatory

    Authority (ACRA) is the national regulator of

    business entities and public accountants in

    Singapore. ACRA also plays the role of a facilitator

    for the development of business entities and the

    public accountancy profession.

    SOLUTION

    Mactores built & deployed end-to-end BI with

    Data Warehousing, Data Crunching & Data

    Visualization system for processing tax forms

    submitted by banking institutions for more

    than 2,000,000 companies in the region of

    Singapore.

    Case Study #4: ACRA, Singapore

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  • KEY CHALLENGES

    Lack of an end-to-end data warehousing

    system.

    Lack of Business Intelligence (BI) systems

    resulted in poor visibility of tax collection for

    more than 1,300,000 companies in the region.

    BUSINESS CONTEXT

    QFC Regulatory Authority, the independent

    regulator of the Qatar Financial Centre (QFC),

    established to authorize and regulate firms and

    individuals conducting financial services i