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  • Wale Ayeni, 2013

    olawalexi@gmail.com

    Big Data Analytics and Visualization landscape

    Confidential. No part of this publication may be reproduced, stored in a retrieval system or

    transmitted in any form or by any means without the prior written permission of the publisher

  • About the author

    Wale Ayeni, 2013

    olawalexi@gmail.com

    Confidential. No part of this publication may be reproduced, stored in a retrieval system or

    transmitted in any form or by any means without the prior written permission of the publisher

    Professional

    With about 10-years of domain expertise in technology spanning roles from chip design engineering, consulting, investment banking and

    venture capital, Wale has always had a passion for science and technology. Currently working in a consultancy capacity with EchoVC

    Partners, an early stage technology-focused Venture Capital firm in California, and before that, most recently was a Sr. Associate with

    J.P. Morgan Investment Banking group covering technology, media and telecommunication companies (TMT) in San Francisco where he

    was involved in strategic and financial advisory for leading public and private companies. He was a pivotal member of teams that

    successfully closed deals valued at over $4 billion. His role also entailed researching and analyzing various technology trends, and

    developing strategic alternatives for companies in the TMT space; in consumer internet and digital media, payments, semiconductor and

    software. In addition, he was nominated to a leadership position and served on the Analyst and Associate Council of the firm interfacing with the Executive Committee of JPMorgan Investment Bank on company wide efficiency and transformative initiatives.

    Prior to J.P. Morgan Wale was a Chip Design Engineer working at the frontier of high-technology developing next-generation chipsets,

    communication platforms and microprocessors at Fortune 100 companies Motorola, Intel Corporation, and Qualcomm Inc. In his first 2 years at Intel Wale received the honor of being awarded block design ownership, a distinction rarely granted to new Engineers. In this role he led critical aspects of Intels QuickPath chip design, which resulted in the biggest change in PC platform architecture in Intels history. For Qualcomm he led Bus protocol verification of state-of-the-art mobile HDTV chipsets for wireless multimedia ecosystem enabling the first mobile devices capable of high definition content in the market.

    In Wales consulting roles he developed strategic growth alternatives into China for a US automation client, worked on branding strategy for Adimab, a startup backed by Google ventures, and regularly mentors startup entrepreneurs in the developing world.

    Education Summary

    Wale has an MBA from Dartmouth College Tuck School of Business where he served as the Co-Chair of the Finance club and was an MBA fellow with the Center for Private Equity and Entrepreneurship. He has a Masters in Electrical Engineering from University of

    Maryland, College Park and was a national merit recipient earning his B.Eng under academic scholarship in Moscow, Russia, at

    Moskovskij Energeticeskij Institut, graduating with the prestigious red diploma (summa cum laude) . He is also a Kauffman Venture Capital fellow. The society of Kauffman fellows is a pre-eminent world-wide network of innovation investors who provide smart, connected capital to fuel entrepreneurial change.

    Personal

    Wale enjoys international travel and has been to over 25 countries. In addition to his native English he speaks Russian, Yoruba, and

    Hausa fluently and speaks several other languages passively. In his free time he enjoys playing and watching soccer; and proudly took

    the Tuck soccer team to the MBA World Cup. His other pastimes include career mentoring, watching movies, reading and defending

    Formula 1 as a superior sport to NASCAR

  • Big Data opportunity driven by people and devices

    Connecting people

    500 million users

    145 billion/day

    Over 1 billion accounts

    4 billion views/day

    More mobile connected

    devices than people

    on the planet1

    More than 50 billion

    connected devices

    by 20202

    Twitter

    Facebook

    YouTube

    E-mail

    2

    Variety

    90% of data in the world today was created in the last 2 years alone3

    Volume Velocity

    Unstructured

    +

    Structured data

    5 exabytes of data

    created every 48 hours

    From Terabytes of data

    to Petabytes of data

    BIG DATA

    Connecting devices

    Source: 1CISCO VNI; 2Ericsson; 3IBM

  • Explosive growth in digital data is creating massive ~$100bn Big Data opportunity

    Growing share of enterprise data is unstructured Volume of digital information created and replicated (ZB)

    Structured data

    64%

    Unstructured data

    36% Structured data

    23%

    Unstructured data

    77%

    Source: IDC, Wall Street research

    2006 2015E

    1,800

    7,900

    2011A 2015E

    Source: IDC

    Relational database

    $27

    Hadoop

    $14

    Business intelligence

    $13

    Server for DB

    $12

    Industry applications

    $12

    Storage of DB

    $9

    Unstructured data

    $6

    Enterprise applications

    $5

    Data integration and quality

    $4 NoSQL

    $2

    Total addressable market for Big Data = $100bn

    Massive ~$100bn TAM ($bn)

    Source: Garter, IDC, BofA Merrill Lynch Global Research

    3

  • The scale is tipping towards Big Data

    Control

    Consistency

    Data management and planning

    Predefined, structured data

    Terabytes or petabyte range

    Enforced by the database

    management system

    Mature standards

    Traditional methods Big Data

    Tolerating chaos

    Agility

    Data discovery

    Diverse

    Petabyte scale at relatively reasonable cost

    Programmer and application dependent

    Largely nonexistent standards

    4

  • Key trends in information management

    Data

    warehousing

    Data

    integration

    Analytical

    solutions

    Search and

    discovery

    Growth in the data warehousing market due to replacement of performance-constrained environments and the value-add of emerging applications

    (e.g., performance management and advanced analytics)

    Significant consolidation as incumbents pick up smaller vendors with compelling technologies and large IT vendors seek to add data warehousing technologies to

    centralize their presence within clients data ecosystem

    Warehouses continue to evolve from pure-play data repositories to comprehensive information platforms that leverage multiple technologies

    (e.g., Hadoop, MapReduce) to handle real-time, unstructured data

    Addressing increased demandparticularly from marketersfor access to third-party consumer data and real-time pricing information

    Leading vendors offer sophisticated products with a high level of service and perceived high value, but at a high cost

    Vendors with less brand recognition offer less mature products, but may be positioned to gain share as capabilities expand

    SaaS and cloud models are becoming more sought after to capitalize on cost and ease of deployment features

    General data integration as a service is available, but most common with synchronization

    Organizations increasingly layer large volumes of data from external parties (e.g., offline customer data, market research) onto internal structured data, driving

    demand for automated integration services in Big Data offerings

    Pure-play suppliers of other Big Data solutions continue adding analytical capabilities to support growing demand for real-time analysis of operational and

    corporate performance

    Specialized offerings from vendors like Splunk and broad offerings from vendors like Palantir are expanding the analytics use case, driving adoption across the

    enterprise

    Vendors like Tableau are developing a new market of business users who demand access to information with graphical interfaces to access data real-time

    Despite growth of vendors that target specific industries, there remains high demand for customer-focused solutions (marketing, sales, service and social

    dimensions), driving growth of cross-industry functional offerings like marketing automation

    Large vendorswho are developing and acquiring search services to layer into existing applicationsrepresent default choices for customers, forcing independent vendors to specialize in particular business problems

    Oracle's 2011 acquisition of Endeca and IBMs 2012 acquisition of Vivisimo are prime examples

    Increasing popularity of appliances due to simplicity, speed and compliance

    Search and discovery prove particularly beneficial to marketing teams, which increasingly leverage external market context (e.g., product reviews) in

    campaign development

    Adoption of search-based discovery is likely to increase in the near term with growing deployment of Big Data solutions

    Content

    management

    Businesses are increasingly focused on content management due to the growth in volume and complexity of dataparticularly usergenerated social, video and mobile content

    Enterprise adoption of cloud collaboration and filing tools (e.g., Box) is increasing as security concerns are addressed

    Open source vendors and competitive stack offering

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