The Evolution of Data and New Opportunities for AnalyticsSAS Canada
BIG DATA IS EVERYWHERE!
Today we produce around five Exabyte every two days … and this is accelerating.
The intelligent devices, what we call the internet of things, promise to be the next big explosion.
Explore evolution of data and new opportunities for analytics.
www.sas.com
IIFT Leadership summit- Data Analytics and Big Data Technology for business c...Sumit Dhar
This is the deck from my talk at Indian Institute of Foreign Trade in New Delhi on the August 28, 2013 at their Trade Winds 2013 Leadership Summit from the 'Data Analytics and Technology for business competitiveness' session.
This was a educational and informational session as the new MBA graduates were eager to know more about the Analytics Industry and opportunities in general
The Evolution of Data and New Opportunities for AnalyticsSAS Canada
BIG DATA IS EVERYWHERE!
Today we produce around five Exabyte every two days … and this is accelerating.
The intelligent devices, what we call the internet of things, promise to be the next big explosion.
Explore evolution of data and new opportunities for analytics.
www.sas.com
IIFT Leadership summit- Data Analytics and Big Data Technology for business c...Sumit Dhar
This is the deck from my talk at Indian Institute of Foreign Trade in New Delhi on the August 28, 2013 at their Trade Winds 2013 Leadership Summit from the 'Data Analytics and Technology for business competitiveness' session.
This was a educational and informational session as the new MBA graduates were eager to know more about the Analytics Industry and opportunities in general
The big data landscape for most enterprises is a vast wilderness. It is a growing and complex ecosystem of different data types from multiple sources, including new data from social media and raw data collected from sources like sensors. Only after effectively exploring and navigating this terrain can businesses begin to mine and refine their data resources to extract value—using trusted information to pave the roads to new insights and smarter decision making.
For more information: www.ibm.com/bigdata
Art by Angela Tuminello
The big data landscape for most enterprises is a vast wilderness. It is a growing and complex ecosystem of different data types from multiple sources, including new data from social media and raw data collected from sources like sensors. Only after effectively exploring and navigating this terrain can businesses begin to mine and refine their data resources to extract value—using trusted information to pave the roads to new insights and smarter decision making.
For more information: www.ibm.com/bigdata
Art by Angela Tuminello
Key characteristics of companies using big dataTyrone Systems
Nowadays, data is pouring into organisations from almost every angle imaginable. Small and Medium sized Enterprises can easily collect terabytes of data per day, startups can effortlessly reach gigabytes of data per day and online organisations can even generate petabytes of data per day without any problem. However, simply having massive amounts of data is not enough to become an information-centric organisation and to stand apart and stay ahead of the competition.
Are you getting the most out of your data?SAS Canada
Data is an organizations most valuable asset, but raw data by itself has little value. To drive data’s worth, it must be managed and processed to extract value and information that decision makers can leverage and turn into actionable insights. It is the ways in which a company choses to put that information to use that will determine the true value of its data.
Through business intelligence and business analytic tools, businesses are enabling themselves to make more strategic, accurate decisions, while optimizing business processes. Hear from Info-Tech Research Group and learn what you need to consider when choosing an analytics solution provider. The webinar will highlight Info-Tech Research Group’s recently published vendor landscape for selecting and implementing Business Intelligence and Business Analytics solutions. The report positions SAS as the only leader across all four categories of Enterprise BI, Mid-Market BI, Enterprise BA and Mid-Market BA.
Geospatial Data Management for Engineering and Geosaptial ProfessionalsKendall James
Short presentation at SA Geotech 2017 on the challenges and opportunities in managing geospatial data within a BIM context. Good data governance, flexible mapping technology and operational demands are key factors.
Chicago VC & Startup Ecosystem - RBL1 - Rebel One ResearchRebel One
For Rebel One we take pride in elevating entrepreneurs wherever they are. In our ecosystem research report on Chicago we identify the venture capitalists, incubators, accelerators, startups, and other players that help the startup ecosystem flourish. Check out our latest report here.
Mona Vernon - Using big data to crack B2B marketsStartupfest
Startupfest 2014 - "Techcrunch's Alex Williams once said, ""While the enterprise can be as boring as hell, the whole goddamn thing is paved with gold."" But how should an aspiring young startup crack open business-to-business markets that are insular, uncomfortable with experimentation, and intolerant of the kind of rapid iteration that fuels innovation?
As it turns out, there are plenty of ways for start ups to innovate in the business to business space, and many of them come from the world of Big Data. In this session, Thomson Reuters' Mona Vernon will look at how organizations of all sizes can leverage abundant data to transform markets. You'll learn:
- how big companies innovate
- why working with large corporations is different than selling directly to the consumers
- The advantages of working with large companies to solve their Big Data challenges
If you're a B2B-focused startup, you can't afford to miss this session."
Webinar: The Three New Requirements of Unstructured Data ProtectionStorage Switzerland
Can your backup deliver? Join Storage Switzerland and Aparavi for this on demand webinar where they discuss the unstructured data problem, why legacy solutions fall short and the three key capabilities that modern unstructured data protection solutions must deliver so that organizations can extract maximum value from their unstructured data investment.
The Future Of Big Data In Business – 4 Emerging Trends In 2022.pptxArpitGautam20
Here are some exciting trends that will dictate the future of Big Data in Business in 2022. Read on to know about these exciting developments. https://arsr.tech/the-future-of-big-data-in-business-4-emerging-trends-in-2022/
The big data landscape for most enterprises is a vast wilderness. It is a growing and complex ecosystem of different data types from multiple sources, including new data from social media and raw data collected from sources like sensors. Only after effectively exploring and navigating this terrain can businesses begin to mine and refine their data resources to extract value—using trusted information to pave the roads to new insights and smarter decision making.
For more information: www.ibm.com/bigdata
Art by Angela Tuminello
The big data landscape for most enterprises is a vast wilderness. It is a growing and complex ecosystem of different data types from multiple sources, including new data from social media and raw data collected from sources like sensors. Only after effectively exploring and navigating this terrain can businesses begin to mine and refine their data resources to extract value—using trusted information to pave the roads to new insights and smarter decision making.
For more information: www.ibm.com/bigdata
Art by Angela Tuminello
Key characteristics of companies using big dataTyrone Systems
Nowadays, data is pouring into organisations from almost every angle imaginable. Small and Medium sized Enterprises can easily collect terabytes of data per day, startups can effortlessly reach gigabytes of data per day and online organisations can even generate petabytes of data per day without any problem. However, simply having massive amounts of data is not enough to become an information-centric organisation and to stand apart and stay ahead of the competition.
Are you getting the most out of your data?SAS Canada
Data is an organizations most valuable asset, but raw data by itself has little value. To drive data’s worth, it must be managed and processed to extract value and information that decision makers can leverage and turn into actionable insights. It is the ways in which a company choses to put that information to use that will determine the true value of its data.
Through business intelligence and business analytic tools, businesses are enabling themselves to make more strategic, accurate decisions, while optimizing business processes. Hear from Info-Tech Research Group and learn what you need to consider when choosing an analytics solution provider. The webinar will highlight Info-Tech Research Group’s recently published vendor landscape for selecting and implementing Business Intelligence and Business Analytics solutions. The report positions SAS as the only leader across all four categories of Enterprise BI, Mid-Market BI, Enterprise BA and Mid-Market BA.
Geospatial Data Management for Engineering and Geosaptial ProfessionalsKendall James
Short presentation at SA Geotech 2017 on the challenges and opportunities in managing geospatial data within a BIM context. Good data governance, flexible mapping technology and operational demands are key factors.
Chicago VC & Startup Ecosystem - RBL1 - Rebel One ResearchRebel One
For Rebel One we take pride in elevating entrepreneurs wherever they are. In our ecosystem research report on Chicago we identify the venture capitalists, incubators, accelerators, startups, and other players that help the startup ecosystem flourish. Check out our latest report here.
Mona Vernon - Using big data to crack B2B marketsStartupfest
Startupfest 2014 - "Techcrunch's Alex Williams once said, ""While the enterprise can be as boring as hell, the whole goddamn thing is paved with gold."" But how should an aspiring young startup crack open business-to-business markets that are insular, uncomfortable with experimentation, and intolerant of the kind of rapid iteration that fuels innovation?
As it turns out, there are plenty of ways for start ups to innovate in the business to business space, and many of them come from the world of Big Data. In this session, Thomson Reuters' Mona Vernon will look at how organizations of all sizes can leverage abundant data to transform markets. You'll learn:
- how big companies innovate
- why working with large corporations is different than selling directly to the consumers
- The advantages of working with large companies to solve their Big Data challenges
If you're a B2B-focused startup, you can't afford to miss this session."
Webinar: The Three New Requirements of Unstructured Data ProtectionStorage Switzerland
Can your backup deliver? Join Storage Switzerland and Aparavi for this on demand webinar where they discuss the unstructured data problem, why legacy solutions fall short and the three key capabilities that modern unstructured data protection solutions must deliver so that organizations can extract maximum value from their unstructured data investment.
The Future Of Big Data In Business – 4 Emerging Trends In 2022.pptxArpitGautam20
Here are some exciting trends that will dictate the future of Big Data in Business in 2022. Read on to know about these exciting developments. https://arsr.tech/the-future-of-big-data-in-business-4-emerging-trends-in-2022/
How to Monetize Your Data Assets and Gain a Competitive AdvantageCCG
Join us for this session where Doug Laney will share insights from his best-selling book, Infonomics, about how organizations can actually treat information as an enterprise asset.
Alternative data survey with tokyo open data engMisakiShoji
Alternative data is regarded by the global asset management industry as a source for alpha which is becoming increasingly difficult to generate. How does the Japanese asset management industry approach alternative data? JIAM interviewed 14 asset management firms to capture the state of use, the challenges and how they can be overcome.
JIAM オルタナティブデータ・サーベイ
アルファ獲得の困難さが増す今日、オルタナティブデータ活用への関心が世界の資産運用業界で高まっています。日本の状況を探るべく、この度JIAMではオルタナティブ・データ活用の現状、課題とその解決について運用会社14社にヒアリングを行い、レポートを作成しました。
Data-Ed Webinar: Demystifying Big Data DATAVERSITY
We are in the middle of a data flood and we need to figure out how to tame it without drowning. Most of what has been written about Big Data is focused on selling hardware and services. But what about a Big Data Strategy that guides hardware and software decisions? While virtually every major organization is faced with the challenge of figuring out the approach for and the requirements of this new development, jumping into the fray hastily and unprepared will only reproduce the same dismal IT project results as previously experienced. Join Dr. Peter Aiken as he will debunk a number of misconceptions about Big Data as your un-typical IT project. He will provide guidance on how to establish realistic Big Data management plans and expectations, and help demonstrate the value of such actions to both internal and external decision makers without getting lost in the hype.
Takeaways:
- The means by which Big Data techniques can complement existing data management practices
- The prototyping nature of practicing Big Data techniques
- The distinct ways in which utilizing Big Data can generate business value
- Bigger Data isn’t always Better Data
We are in the middle of a data flood and we need to figure out how to tame it without drowning. Most of what has been written about Big Data is focused on selling hardware and services. But what about a Big Data Strategy that guides hardware and software decisions? While virtually every major organization is faced with the challenge of figuring out the approach for and the requirements of this new development, jumping into the fray hastily and unprepared will only reproduce the same dismal IT project results as previously experienced. Join Dr. Peter Aiken as he will debunk a number of misconceptions about Big Data as your un-typical IT project. He will provide guidance on how to establish realistic Big Data management plans and expectations, and help demonstrate the value of such actions to both internal and external decision makers without getting lost in the hype.
Check out more of our Data-Ed webinars here: www.datablueprint.com/webinar-schedule
Age Friendly Economy - Improving your business with external dataAgeFriendlyEconomy
The objective of this module is to gain an overview how you can use the data available outside of your company to improve your business.
Upon completion of this module you will:
- Learn the basics of external data and where to find it
- Be able to recognize there is a lot of Open Data already out there for you to use – especially about Older People
- See the benefits of using the external data in order to improve your business
Frontiers in Alternative Data : Techniques and Use CasesQuantUniversity
QuantUniversity Summer School 2020 (https://qusummerschool.splashthat.com/)
https://quspeakerseries10.splashthat.com/
Lecture 1: Alexander Denev
In this talk, Alexander will introduce Alternative Data and discuss it's uses from his book, The Book of Alternative Data
- What is alternative data?
- Adoption of alternative data
- Information value chain
- Risks associated with alternative data
- Processes required to develop signals
- Valuation of alternative data
Lecture 2: Saeed Amen
In this talk, Saeed will discuss use cases in Alternative Data
-Deciphering Federal Reserve communications
- Using CLS flow data to trade FX
- Geospatial Insight satellite data to estimate retailers' EPS
- Saving "alpha" with transaction cost analysis
- Using Bloomberg News data to trade FX
Big Data & Investment Management: The Potential to Quantify Traditionally Qua...Ken Cutroneo
Big data is a catchphrase for a new way of conducting analysis. Big data principles are being adopted across many industries and in many varieties. However, adoption so far by investment managers has been limited. This may be creating a window of opportunity in the industry.
The Economic Value of Data: A New Revenue Stream for Global CustodiansCognizant
Global custodians' big data offers myriad opportunities for generating value from analytics solutions; we explore various paths and offer three use cases to illustrate. Data aggregation, risk management, digital experience, operational agility and cross-selling are all covered.
Presentation of Digital Catapult's personal data activities in relation to Industry 4.0, digital transformation and advanced manufacturing actions, as presented by Digital Catapult's Michele Nati, Lead Technologist of Personal Data and Trust.
Unlocking Value of Data in a Digital AgeRuud Brink
InfoGraphic about Intelligence Hubs as accelerator of the Digital organisation. Five steps how you could think big, and act small to unlock value of Data in your organisation. Contact me for the office A0 poster.
The presentation from the keynote address delivered by H.E. Dr Hessa Al-Jaber, Minister of Information and Communications Technology, State of Qatar at the 2015 installment of the Euromoney Qatar Conference in Doha.
Devoted, Opendoor, and Butterfly Network company profilesArash Farahani
As a part of my Master's program, we were profiling unicorns globally to find out their key success factors. A program called "GlobalSERS" which stands for Scare Early Rapidly and Securely introduced by Prof. Tony Bailetti. These were three companies that I have been profiling. My main focus was on analyzing CEOs and Founders of unicorns finding out their common attributes.
Waters USA 2013: Data Leaders vs. Data LaggardsState Street
Originally presented at Waters USA, this presentation features highlights from our Data and Analytics Survey conducted by the Economist Intelligence Unit.
101 presentation about open data related economic opportunities in emerging economies. More details at https://medium.com/@prasannalaldas/new-surveys-reveal-dynamism-challenges-of-open-data-driven-businesses-in-developing-countries-3ac0e45dae25
Open data - economic growth (coupled with fears)Prasanna Lal Das
My presentation at OGP Europe describing open data driven economic growth opportunities, a framework (of financial and non-financial tools) to stimulate the growth of new businesses in developing countries, and some risks along the way. Key messages - think beyond small, think beyond open, and think of and beyond money.
Citizen reporting and loans assurance updated-publicPrasanna Lal Das
How do you involve citizen reporters to Identify potential fraud or waste before funds leave your organization. Will interest you if you are an organization that makes loans or disburses funds to external parties.
An example voice and tone scale -- potentially useful for online writers and content strategists struggling to translate brand promise into web content.
The Case to Invest in Data Driven Companies in Emerging Markets
1. The Data Fund
The Case to Invest in Data Driven Companies in
Emerging Markets
1@prasannalaldas
2. • All views personal
• Idea still under development; use with caution
Disclaimers!
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3. • The data ‘sector’ and the economic opportunity
• The ecosystem approach
• The role of DFIs
In this presentation
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4. The Brave New Data World
4 I 3
Data Yesterday Data Today
Centralized
Structured
Static
23056 34
02011103
76023
Decreasing
costs
New techniques,
technology,
and solutions
UNTAPPED
DEVELOPMENT
OPPORTUNITY
2200
459700
76900
240,000,000
34,567,900
Real-
Time
Distributed
8000,000,000
Structured
and Unstructured
(mixed)
Data
ATA
Limitless Data
@prasannalaldas
5. The ‘Sector’ called Data
Open Data Big Data Internet of Things Digitization
$3 trillion $7 trillion $15 trillion$12 trillion
The data space combines several trends – each with significant commercial potential
The data space is transforming all major sectors of the economy
Government Health Energy Education Transport Agriculture Finance Tourism
Rather than a narrow niche, data is a new way of looking at the world with major economic and development potential
Google Library Mobile Phone
Data entrepreneurs want to work with people/investors that understand data
Data IT
Water
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6. Data Driven Companies – Data as a Strategic Asset
USA Emerging Economies
From Our Pipeline Analysis
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7. Some Data Business Models
Suppliers Aggregators Developers Enrichers Enablers
The Data Fund
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8. • Developed Countries
• Climate Corporation – acquired by Monsanto for about $970 million
• Nest Labs – acquired by Google for $3.2 billion
• iTriage – acquired by Aetna for an undisclosed sum
• Desire2Learn – raised $80 million in Series A funding
• Developing countries
• YourBus – Indian start-up acquired for $100 million
• MuSigma – Indian firm with VC investments of $133 million
• SkyMet – Indian company raised $4.5 million
• FrontalRain – Indian company raised $8 million
• Junar – Chilean firm raised $1.2 million
• Solapa – Argentine company raised $1 million
• Scanntech – Uruguayan company raised $10 million
• UrbanIndo – Indonesian firm raised $2 million
Illustrative Deals
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9. How do you take the benefits of
data driven development to
emerging economies at scale
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10. The challenge
10
Locked data
Restrictive
policy
Skills gap
Data
illiteracy
Poor ICT
infrastructure
Incubation/
Innovation
Financing
gap
Especially for
early stage
companies that
require small
investments.
Traditional VC
activity sparse
and ad hoc
@prasannalaldas
11. An ecosystem approach
Data Policy Capacity Innovation
The enabling environment
(governments and partners)
Private sector investment (VCs and
partners)
Gov
Financing
Pvt Sector
Financing
The Data
Fund
11
Early stage
investments ($1-5
million) – systematic
development of the
data sector
(supported by
government
activities)@prasannalaldas
12. The Opportunity for DFI Investors
• The Data Fund is an opportunity to catalyze a brand new sector that has tremendous development
potential in emerging economies
• Retail, one-off investments do not offer the same transformative potential
• This is a true early mover opportunity – 60% of data will soon come from emerging economies;
early investment opportunities for investors in new businesses built upon this data
• The Data Fund differs from traditional VC investments in data driven companies in several ways –
• It targets companies at an earlier stage than typical VC investments
• The Fund will target companies with higher risk but the returns will be on a portfolio basis
• It will make smaller investments than VCs typically do ($1-5 million; which isn’t viable in the
standard VC model)
• The Data Fund will benefit from the enabling environment work done by governments in key target
countries
• More data, the right policies, data literacy, and incubation
• The market it too risky for investors who cannot affect the enabling environment
• The Data Fund can be a pipeline for larger scale VC investments in more mature companies down the
line
• Most suitable for investment managers with experience tying Silicon Valley expertise to emerging markets
(plus access to talent and technical expertise)
12@prasannalaldas
13. Data Fund
Investors
Investment Manager
Custodian &
Administrative Agent
Legal adviser
Investees
Custodian &
Admin. Agent Agreement
Mandate
Investment Management
Agreement
Commitment Agreement(s)
Financing Agreements
Founders Coordinating Unit
Founding partner(s)
- Joint fundraising
- Knowledge and learning
- New business development
- Pipeline development
A Potential Model
@prasannalaldas
14. • A pipeline study of data driven companies in emerging markets
• McKinsey paper on the economic potential of liquid data
• Open Data 500
• EMC paper on the Internet of Things
• WEF paper on big data
References
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