Analytics_and_Business_Intelligence_in_the_Cloud

PowerPoint Presentation: 

Petar Kočović Gartner Briefing Hotel Continental May 14th, 2012 ANALYTICS AND BUSINESS INTELLIGENCE IN THE CLOUD INFORMATICA POSTMODERNA

Andrew Basiago: 

Andrew Basiago

PowerPoint Presentation: 

Office in 1991

How did We Exist?: 

How did We Exist? 1991

PowerPoint Presentation: 

Today we have

PowerPoint Presentation: 

800,000,000 Smartphones 800,000,000 SMARTPHONES

PowerPoint Presentation: 

1,500,000,000 PCs

PowerPoint Presentation: 

2,300,000,000 PEOPLE ON INTERNET

PowerPoint Presentation: 

3,500,000,000 MOBILE PHONES

PowerPoint Presentation: 

5,000,000,000 INTERNET-CONNECTED DEVICES

PowerPoint Presentation: 

87,000,000,000 GOGLE SEARCHES/MO

PowerPoint Presentation: 

28,000,000,000,000,000,000 EXABYTES OVER THE INTERNET/MO

PowerPoint Presentation: 

350,000,000,000,000,000,000 EXABYTES STORED

Computer in Cell Phone is:: 

Computer in Cell Phone is: than IBM 360 in MIT, 1965 1,000,000 Time Cheaper 1,000 More Powerful 100,000 Smaller

INSTRUMENTED: 

INSTRUMENTED Today there are 1 billion transistors for each person on the planet By 2010 30 billion RFID tags in our world Supply chains, Healthcare networks, Cities, Natural systems (like rivers)

PowerPoint Presentation: 

The Internet of Things: cars, airplanes, cameras, roadways, pipeline, pharmaceuticals and even livestocks is headed to 1 trillion INTERCONNECTED

INTELLIGENT: 

INTELLIGENT Avg company with 1,000 employes spends $5.3 million a year to find informations stored on its servers

Confluence of technologies: 

Confluence of technologies Think and act in new ways economically, socially and technically + +

The need for progress is clear: 

The need for progress is clear 170 billion kWh wasted each year

The need for progress is clear: 

The need for progress is clear 3.7 billion lost hours 2.3 billion gallons of gas

100 million people worldwide - below the poverty line: 

100 million people worldwide - below the poverty line

The opportunity for progress is clear: 

The opportunity for progress is clear 10% reduction in energy costs 20% less traffic 12% lowered emissions $80 bill in cost savings

World population: 

World population

Leaders must lead through unknown: 

Leaders must lead through unknown 8 of 10 CEO’s anticipate turbulent change 3x increase the gap between leader’s need for change and their ability to manage it

PowerPoint Presentation: 

RE-IMAGINE IT POSTMODERN BUSINESS SIMPLICITY CREATIVE DESTRUCTION

PowerPoint Presentation: 

BY 2015, PRIVATE APP STORES WILL BE DEPLOYED BY 60% OF IT ORGANIZATIONS

PowerPoint Presentation: 

STRATEGIC AND DISRUPTIVE VENDORS

PowerPoint Presentation: 

BY 2014, CIO’S WILL HAVE LOST CONTROL OF 25% OF THEIR IT SPENDING

PowerPoint Presentation: 

BY 2017, YOUR CMO MAY HAVE A BIGGER IT BUDGET THAN YOU DO

OS for Smartphones: 

OS for Smartphones

Theory of Everything: 

John Ellis (1946-) British theoretical physicist The Superstring Theory of Everything or of Nothing Nature, Vol 323, 595-598 (16 October 1986) Theory of Everything

Internet of (Every)Thing(s): 

Cameras and microphones widely deployed New routes to market via intelligent objects QR Code Content and services via connected products Everything has a URL Remote sensing of objects and environment Augmented reality Situational decision support 50%+ of Internet connections are things 2011: 15+ bill permanent, 50+ bill intermittent 2020: 30+ bill permanent, >200 bill intermittent 7" 800 x 400 display $20 2 GB flash $3 GPRS $7/Wi-Fi $3 Audio $0.5 NFC LTE Building and infrastructure management Internet of (Every)Thing(s)

Internet of Things Opportunities: 

The Internet of things Objects, systems, people, information, paces, virtual entities Access points and data sources expand Event streams and objects as "users" New data strategies — can't save it all Internet of Things Opportunities

Ray Kurzweil: 

Ray Kurzweil “So, what if what used to fit into a building, now fits in your pocket, and what fits in your pocket now, will fit inside a blood cell in 25 years? We haven’t seen anything yet.”

Michio Kaku Ph.D.– Augmented Reality is Now: 

Michio Kaku Ph.D.– Augmented Reality is Now

Internet Contact Lens: 

Internet Contact Lens

Transparent OLED Screens and 3D TV: 

Transparent OLED Screens and 3D TV CSI Miami

Transparent OLED Screen: 

Transparent OLED Screen

How Everything Started: 

How Everything Started Altair 8800 Star Trek - 1968

Flexible Display Phone – for 1 cent!: 

Flexible Display Phone – for 1 cent!

Disposable Computer: 

Disposable Computer

Holographic Projection: 

Holographic Projection

Telepathy: 

Telepathy

Teleportation: 

Teleportation

Telekinesis: 

Telekinesis

Telekinesis – Brain Computer Interface: 

Telekinesis – Brain Computer Interface

Asimo Robot: 

Asimo Robot

Movie: Fantastic Voyage: 

Movie: Fantastic Voyage

Nano Technology: 

Nano Technology Nano particles killing cancer cells Word: TUMOR will disappear from dictionary

Toilet will be your doctor: 

Toilet will be your doctor ... will measure: your sugar in blood, your health state

DNA Chips – Genetic Content: 

DNA Chips – Genetic Content Databank with DNA data: Forget Privacy

Tricorder – Instantly diagnose any disease : 

Tricorder – Instantly diagnose any disease

Mini MRI: 

Mini MRI IBM Mini MRI

Human Genome – Growing Human Organs: 

Human Genome – Growing Human Organs

Big Data ... Fast Data … All Data: 

Big Data ... Fast Data … All Data Internal Applications, Email, More Mobile and Communications Cloud Computing and Cloud Data I like playing hockey, baseball and climbing mountains. The ancient civilizations in North America had engineering marvels that surpassed Rome and Greece because they invented the "0" about 700 years eelier. They also discovered the "golden mean" to improve every aspect of their engineering. Pizza was actually invented in New York city. It is not Italian food but American food. Not only that, spaghetti was invented in China. I like playing hockey, baseball and climbing mountains. The ancient civilizations in North America had engineering marvels that surpassed Rome and Greece because they invented the "0" about 700 years eelier. They also discovered the "golden mean" to improve every aspect of their engineering. Pizza was actually invented in New York city. It is not Italian food but American food. Not only that, spaghetti was invented in China. I like playing hockey, baseball and climbing mountains. The ancient civilizations in North America had engineering marvels that surpassed Rome and Greece because they invented the "0" about 700 years earlier. They also discovered the "golden mean" to improve every aspect of their engineering. Pizza was actually invented in New York city. It is not Italian food but American food. Not only that, spaghetti was invented in China. Documents and Content Can easily overwhelm in-house resources RFID, Meters and Other OT B2B Social Computing

Where most of the data going?: 

Where most of the data going?

Cloud/SaaS Analytics/BI: 

Cloud/SaaS Analytics/BI How many firms have or are planning a cloud/SaaS initiative for BI and analytics? 27% * *Source: 2011 survey in "Magic Quadrant for Business Intelligence Platforms" (G00210036)

Hype Cycle for Cloud Computing: 

Hype Cycle for Cloud Computing From "Hype Cycle for Cloud Computing, 2011," 27 July 2011 (G00214915) Integration to cloud-based IaaS

SaaS BI on Gartner's Hype Cycle: 

SaaS BI on Gartner's Hype Cycle

Cloud Computing and SaaS Definitions: 

Cloud Computing and SaaS Definitions "Cloud computing is a style of computing in which scalable and elastic IT-enabled capabilities are delivered as a service to customers using Internet technologies." From "Hype Cycle for Cloud Computing, 2011," 27 July 2011 (G00214915) From " Four Components Define Software as a Service," 31 August 2010 (G00206425) "SaaS is software delivered remotely and managed by a third party as a one-to-many service through subscription and pay for use"

Four Elements of SaaS: 

Four Elements of SaaS Service-Based Scalable Shared Subscription/Usage-Based

Gartner Business Analytics Framework (2006): 

Gartner Business Analytics Framework (2006) Business Strategy and Enterprise Metrics Information Program Management Metadata and Services Consume Produce Enable People Analytic Processes Information Infrastructure Processes Business and Decision Processes Processes Decision Capabilities Collaboration Decision Making, Intelligent Decision Automation, Applications Analytic Capabilities Descriptive, Diagnostic, Predictive, Prescriptive Information Capabilities Describe, Organize, Integrate, Share, Govern, Implement Platform Performance Cloud/SaaS Capabilities Exist at All Levels Inside-out, Do It Yourself (DIY) Perspective

All Cloud BI/Analytics Are Not Created Equal: 

All Cloud BI/Analytics Are Not Created Equal Different software business strategies abound BI platform as a service: Analytic application as a service: Hybrid: All intricately linked with data services

Where are the Data? Many Options Exist : 

Where are the Data? Many Options Exist Cloud/SaaS Applications On-Premises Data Warehouse On-Premises Applications On-Premises Applications Cloud/SaaSData Mart Files Cloud/SaaS BI and Analytics External Data Sources

Gartner Business Analytics Framework (2009): 

Gartner Business Analytics Framework (2009) Business Strategy and Enterprise Metrics Information Program Management Metadata and Services Consume Produce Enable People Analytic Processes Information Infrastructure Processes Business and Decision Processes Processes Decision Capabilities Collaboration Decision Making, Intelligent Decision Automation, Applications Analytic Capabilities Descriptive, Diagnostic, Predictive, Prescriptive Information Capabilities Describe, Organize, Integrate, Share, Govern, Implement Platform Performance Outside-in, Buy-the-Service Perspective

The Data Provider Community Impact: 

For example — Marketing, supply chain and financial professionals are target buyers: Healthcare and life sciences Retail and consumer insight Manufacturing, retail and life sciences Financial services The Data Provider Community Impact Content-driven intelligence solutions targeted to specific buyers by industry and role.

Service Providers: "Analytics" as a Service a Top-Line Story: 

Service Providers: "Analytics" as a Service a Top-Line Story

Rationale for Pursuing Cloud/SaaS BI/A/PM : 

Rationale for Pursuing Cloud/SaaS BI/A/PM Time to Value I need answers now. IT can't deliver for months. We can easily share critical data with partners. We can access cloud data more easily. Cost No money for capital purchases — I can expense it. I can pay as I go, right? Isn't it cheaper than buying? Expertise We lack skills to deploy and manage solutions. There is no need to manage infrastructure anymore.

Use Case in Quick-Service Retail: 

Use Case in Quick-Service Retail Augment existing BI infrastructure: Client had standardized on-premises BI infrastructure. Business team needed a BI application ASAP to analyze performance. IT team could not deliver in a timely manner. SaaS vendor hired to build out application. Data sourced from company, hosted at SaaS vendor. "Will eventually move this back to core …" (famous last words …)

Use Case in Retail: 

Use Case in Retail Replace standard analysis with Cloud/SaaS analytic platform: Move all product sales data to the cloud. Establish ongoing data protocol for updates. Build analyses for users to analyze product mix, market baskets and assortment planning. "No longer need to worry about this segment of the business"

Use Case in Manufacturing: 

Use Case in Manufacturing Quickly share information with suppliers and customers: Gather demand data from customers (retailers). Determine production requirements, based on true demand. Analyze supply constraints, and consider sources of raw materials and costs. Collaborate across the value chain to optimize overall supply chain costs, while meeting customer order expectations. " Streamlined a multiconstituent process "

Who's Buying Cloud/SaaS BI/Analytics?: 

Who's Buying Cloud/SaaS BI/Analytics? Departments/lines of business of large enterprises. Users of cloud business applications CIOs, to add capacity quickly and cost-effectively. SMBs with less invested already in skills and infrastructure.

When is the Tipping Point? : 

When is the Tipping Point? As business applications that capture data move to the cloud, BI and analytics will follow. Fusion of content, intellectual property, and technology for solution orientation is here today. People, Process, Platform from Business Analytics Framework.

PowerPoint Presentation: 

By 2014, 40% of spending on business analytics will go to system integrators, not to software vendors.

Concerns Linger: 

Concerns Linger Is our data secure and private outside our four walls? Has "rogue" buying by distinct business teams disrupted our data governance strategy? Will smaller vendors survive? Are these only temporary fixes? Should we invest tactically or strategically? Is this a return to disconnected apps? Can one vendor provide it all? What are appropriate SLAs? Is our concern really a mask to protect our IT empire?

PowerPoint Presentation: 

Petar Kočović Gartner Briefing Hotel Continental May 14th, 2012 ANALYTICS AND BUSINESS INTELLIGENCE IN THE CLOUD INFORMATICA POSTMODERNA