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Half a Decade and Giant Leaps for Analytics Half a Decade and Giant Leaps for Analytics How Analytics Changed in Five Years How Analytics Changed in Five Years Big data and analytics have undergone dramatic growth and evolution just in the five years that All Analytics has been documenting the changes. Industry thought leaders and vendors strive to explain that new thing called "big data." IDC projects big data technology will generate Even Bigger Big Data The greatest development in analytics in the past five years? Then and Now Four Keys to Help Your Analytics Team Succeed The Technologies Advance IoT transforms whole industries and makes big data even bigger Information is just as important, if not more important than information technology for a 2011 2015 $48.6B by 2019 23.1% CAGR Source: IDC Source: SAS and Kellogg School of Management, Understanding the Mobile Consumer, Realizing the Opportunities with Analytics Source: Gartner Source: TDWI: Four Use Cases Show Real-World Impact of IoT The size of the global big data hardware, software, and services market in 2011 new things are being connected using IoT concepts every day. The same big data market in 2017 $50.1 billion $7.3 billion Source: Wikibon Source: MIT Sloan Management Review, Beyond the Hype: The Hard Work Behind Analytics Success "Realization that analytics is needed everywhere and that there are huge gaps that need filling every-where: talent, technologies, tools." — Kirk Borne, Principal Data Scientist at Booz Allen Hamilton. “Information is the oil of the 21st century. Enterprises are generating an unprecedented amount of information of enormous variety and complexity. The need to leverage this data for greater business value is leading to a change in data management strategies known as ‘big data.’ ” "The commoditization of platforms that allow analytics to be used by anyone. Cloud platforms, such as AWS, Azure, and others with pay-as-you-consume, elastic services that have a consumer-friendly UI, have changed the game in analytics. They provide great opportunities for all to use data to benefit their business and society." • Establish career advancement goals. • Make continuous training a priority. • Develop an incentive program • Create liaisons between IT and the business. The greatest development in analytics in the past five years? — November 2011 — Experts echo those same thoughts today From founding All Analytics Editor Beth Schultz's second blog, June 28, 2011 Principle No. 1 in Gartner's New CIO Manifesto Earliest talk of data lakes Analytics and BI were often used interchangeably Transactional data ruled Data visualization was "promising" Predictive analytics in action was the exception 2011: Analytics grows as a source of competitive advantage. Data lakes are real, not everywhere but not rare We strive to know and support customers in an omnichannel world Unstructured data extends our view far past transactional boundaries Great visualizations let data tell a story Prescriptive analytics is the brass ring 2016: Analytics are used by organizations to stay competitive.. 2016 2011 2011 – Robert Plant, department vice chair, business technology, University of Miami. Most people were still trying to figure out how to pronounce Hadoop and understand what it was. 2011 Yahoo, where Hadoop first spread its roots, had 600 petabytes of data spread among 40,000 Hadoop nodes. A twin-engine Boeing 737 aircraft produces 333 GB of data per minute per engine. For a flight from Los Angeles to New York, that aircraft will generate roughly 200 TB of data. • In the oil and gas industry, an Industrial Internet of Things- ready drilling rig produces 7–8 TB of operational data per day. • In the U.S., connected automobiles already generate over 1 petabyte (PB) of operational data per day. For context, 1 PB equals 1 million GB. That works out to about 62,500 16 GB iPhones. 2015 $5.5 million Five years ago mobile analytics were little more than monthly counts of phone apps. Today, pioneering retailers use web activity, phone apps, and in-store beacons to gain a single, omnichannel view of customer activity, and more than ¾ of consumers actively use mobile devices in interacting with businesses (including showrooming) Site Sponsored by

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Half a Decadeand Giant Leapsfor Analytics

Half a Decadeand Giant Leapsfor Analytics

How AnalyticsChanged inFive Years

How AnalyticsChanged inFive Years

Big data and analyticshave undergone dramatic growthand evolution just in the five years thatAll Analytics has been documenting the changes.

Industry thought leaders andvendors strive to explain that new thing called "big data."

IDC projects big data technology will generate

Even Bigger Big Data

The greatest development in analyticsin the past five years?

Then and Now

Four Keys to Help Your AnalyticsTeam Succeed

The Technologies Advance

IoT transforms whole industries and makesbig data even bigger

Information is just as important,if not more important than informationtechnology

for a

2011

2015

$48.6B

by 201923.1%

CAGRSource: IDC

Source: SAS and Kellogg School of Management, Understanding the Mobile Consumer, Realizing the Opportunities with Analytics

Source: Gartner

Source: TDWI: Four Use Cases Show Real-World Impact of IoT

The size of the global big data hardware, software, and services market in 2011

new things are being connected using IoT concepts every day.

The same big data market in 2017$50.1 billion

$7.3 billion

Source: Wikibon

Source: MIT Sloan Management Review, Beyond the Hype: The Hard Work Behind Analytics Success

"Realization that analytics is neededeverywhere and that there are hugegaps that need filling every-where:talent, technologies, tools."

— Kirk Borne, Principal Data Scientistat Booz Allen Hamilton.

“Information is the oil of the 21st century. Enterprises are generating an unprecedented amount of informationof enormous variety and complexity.The need to leverage this data for greater business value is leading to a change in data management strategies known as ‘big data.’ ”

"The commoditization of platforms that allow analytics to be used by anyone. Cloud platforms, such as AWS, Azure, and others with pay-as-you-consume, elastic services that have a consumer-friendlyUI, have changed the game in analytics. They provide great opportunities for all to use data to benefit their business and society."

• Establish career advancement goals.

• Make continuous training a priority.

• Develop an incentive program

• Create liaisons between IT and the business.

The greatest development in analytics in the pastfive years?

— November 2011

— Experts echo those same thoughts today

From founding All Analytics Editor Beth Schultz's second blog, June 28, 2011

Principle No. 1in Gartner's New CIO Manifesto

Earliest talk of data lakes

Analytics and BI were oftenused interchangeably

Transactional data ruled

Data visualization was "promising" Predictive analytics in action was the exception 2011: Analytics grows as a source of competitive advantage.

Data lakes are real, not everywherebut not rare We strive to know and supportcustomers in an omnichannel world

Unstructured data extends our view farpast transactional boundaries Great visualizations let data tell a story Prescriptive analytics is the brass ring

2016: Analytics are used byorganizations to stay competitive..

2016 2011 2011

– Robert Plant, department vice chair, business technology, University of Miami.

Most people were still trying to figure out how to pronounceHadoop and understand what it was.

2011

Yahoo, where Hadoop first spread its roots, had 600 petabytes of dataspread among 40,000 Hadoop nodes.

• A twin-engine Boeing 737 aircraft produces 333 GB of data per minute per engine. For a flight from Los Angeles to New York, that aircraft will generate roughly 200 TB of data.

• In the oil and gas industry, an Industrial Internet of Things- ready drilling rig produces 7–8 TB of operational data per day.

• In the U.S., connected automobiles already generate over 1 petabyte (PB) of operational data per day. For context, 1 PB equals 1 million GB. That works out to about 62,500 16 GB iPhones.

2015

$5.5million

Five years ago mobile analytics were little more than monthly counts of phone apps. Today, pioneering retailers use web activity, phone apps, and in-store beacons to gain a single, omnichannel view of customer activity, and more than ¾ of consumers actively use mobile devices in interacting with businesses (including showrooming)

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