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, Don’t Just Exhibit

5Analytics Case Studies

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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 Décor, 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 Décor 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 India’s 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 India’s 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 in or from

the QFC. Established in 2005.

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 1,300,000 companies in Qatar.

Case Study #5: Qatar Financial Center Regulatory Authority, Qatar

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Contact

Subhasish GhoshAssociate Principal Consultant – Amazon Web Services

D 609-610, Neelkanth Business Park

Near Vidyavihar Railway Station

Vidyavihar West, Mumbai 400 086

+91-9916043731

subhasish@mactores.com

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