Michigan Mobile App Developers 5 Top 5 Apps in the Apple iTunes Store Top 10 Grossing App in the Apple iTunes Store Featured Apps in the Apple iTunes Store, Google Play Store, and Amazon App Store Innovation Specialists iPhone/iPad Android Phone/Tablet Apple Watch Android Wear Beacons www.arbormoon.com
Patel Partner, Plante Moran Panelists: Doug Copley, Beaumont Rod Davenport, State of Michigan Jamal Farhat, BorgWarner Michael Hindelang, Honigman Miller, Schwartz and Cohn, LLP
70% CIOs considering cloud migration; top reasons were scale and flexibility Less time to deploy technology and deliver new business capabilities 4X Deployment time advantage of Salesforce Sales Cloud vs. Oracle CRM CIO function as a revenue driver, not cost center 66%CIOs who cite business strategy and driving business innovation as the top priority Automation to improve productivity 51%CIOs prioritizing improving IT staff productivity and operational efficiency as top goal in next 3 years Vendors as partners delivering Business outcomes 40% SPs expressing desire for vendors to adopt risk sharing models
Promise of Cloud Opportunities Mobile Social Cloud Economics. Faster Services Rollout Address Pace of Change 60% of data stolen within first few hours of attack Increased Security Threats Protect Privacy and Reputation 2X Data growth /18 mos., Application growth / 2 years Data and Application Explosion! 10101 Better and Faster Decisions Shadow IT Cloud DevOps Flat IT budgets Manage IT Change Big Data /Analytics Cloud-Scale Apps Always ON New Application Architectures 10101 Mobile Social Cloud Securing Data Within DC and Across Clouds Security and Compliance Deliver IT-as-a-Service Consistently Across Public and Private Clouds Cloud Strategy “Bi-Modal IT” Hybrid Clouds Pervasive Security Actionable Insights Implications to IT
Power the #1 IT Company Future proof our business through adaptive services Adaptive Experience: Pervasive Experience Upgrade Growth Speed Productivity Software and Cloud Capabilities Adaptive Technology: Internet of Everything (IoE) Unified Architecture Advantage Adaptive Process: Commercial Transformation Field Enablement Next-Generation Collaboration Platform IoE Foundation Adaptive People: Workforce Development S V E M Continuous Delivery Process and Mindset Stakeholder Experience Security Resiliency
made obvious You have to architect for change, at an accelerating pace • If you don’t change your fundamental processes, you won’t change • People make change if they identify with the intended outcomes • Everything you do = Relentless Communication
Change, Speed, Innovation Leadership Pivot: Business Outcomes Change the biz Continuous Delivery Relationships Usability Innovation The Pivot: Business Outcome
Models User Interaction and Transactions Business Operations Capabilities and Services Applications Services Delivery Platform Building Blocks Network as the Platform REQUIREMENTS CAPABILITIES Policy Analytics Data
Rules simulation • Agile methodology • On demand rules management • Ability for business to manage policy and rules • Minimal IT interaction Rules Change Management Rules Definition Real-time Insight Next Best Action • Real time decision management • Closed loop business intelligence
bookings • 2.5m application hits/day (excluding static content) • 10,000 unique users/day Cisco Commerce Service Renewals – Use Case Scalability Loosely Coupled Continuous Delivery High Availability User Centric Open Source
Delivery Automate Testing and Quality Control Reduce Defects / Incidents Increase Business Availability Embedded QA Cloud, ERP & Mobile Apps Smaller, more efficient teams Adaptive Infrastructure Self-service Reduce total cost of ownership End-to-end methodology Continuous Delivery Active Stakeholder involvement Improve Business Agility Reduce Time-To-Capability Enable IT to keep pace with rapidly evolving market Culture Mindset Perception Change the of IT
• Vanilla/Custom Apps • IT Centric User Experience • Separate Apps by Device • Manual, Sequential Processes Continuous Delivery - A New Mindset From... To... Risk Speed • Capability • Active Stakeholders • Innovation Circles • Architectural Frameworks • Collaborative Visualization • Any Device/Platform • Reusable Services/Automated Testing Adapt and scale Deploy and release Automated testing Develop and build Plan
PaaS Infrastructure as a Service Cloud Delivery Models Software as a Service SalesForce CRM, WebEx, Custom apps… Infrastructure as a Service Compute, storage, networking Data Center as a Service Data center facilities, power, cooling IaaS DCaaS SDaaS Platform as a Service Total application hosting, database runtime
Provisioning Freedom Business Process Freedom Unified Fabric Unified Computing Enterprise-Class Clouds Data Center Networking Inter-Cloud Virtualization Automation Utility Market Consolidation Consumer View Practitioner View E
Language Compute Language Security Language Application Language • Multi-Tier / DevOps • Security & Compliance • SLA • Performance • Compliance • High-Availability Decouple Application AND Policy from underlying infrastructure Infrastructure Common Policy App Network Profile UCS Service Profile
s a n d r a R a b b it M Q M e m c a c h e E la s ti c S e a r c h W e b S er vi c e I n t e g r a ti o n O r a cl e D B Internet C C C C C C C C O A M /S S O Automation Packs Cloud Orchestration Provisioning Automation Self-Service Catalog DC Resources Application Developers Packaging Manageability Fault-tolerant Self-optimizing Self-describing Deploy Click Model Bridging Apps & Infrastructure .. Application Centric Infrastructure WEB APP
Lambiris CEO, Apex Digital Solutions Panelists: Marcy Klevorn, Ford Jim Nelson, EAA, State of Michigan Brian Rich, Consumers Energy George Surdu, Comerica Bank Joanna Young, MSU TECHNOLOGY FOR PEOPLE’S SAKE
a strategic asset Today, everything that can be measured will be measured. We all create data every day. Machines create even more. Today, data is the application. We expect data to make our lives better, but not at the cost of our privacy. Today, becoming data-driven is a business imperative. Competitive organizations embrace agile methods. Instrumentation Consumerization Experimentation
business, across industries Increase conversion rates. Improve product quality. Optimize IT efficiency. Secure the network (SIEM). Assess risk, and detect fraud. Retain data for compliance. Build a 360° view of patient, customer, employee, etc. Grow share of wallet. Reduce customer churn. Customer and Channel Product and Service Security, Risk, and Compliance Monetize data assets.
team IT Ops, InfoSec, ETL Data Team BI, Data Science, Wranglers “Business” Users Anyone • Control costs while meeting SLAs. • Maintain a secure environment. • Deliver self-service where possible. • Explore data and try new things. • Use diverse analytic techniques. • Need high performance and agility. • Need insights at the right time, in real-time. • Don’t have time or skills for advanced analysis. • Results matter; what’s the business outcome? Successful big data projects include representatives from all of the following groups:
Systems Data Access Business Analytics Custom Applications Existing Data Databases Operational Applications New Data Limited Data Inefficient to manage existing data, let alone new data, while maintaining performance at scale. Data must be structured first. Limited Insights Power users struggle to analyze complex data. Many users get no data. Hard to put insights into action. Trust and Compliance More data, more users, and more tools create complexity. Need to balance business agility with security and governance. Do we have the right architecture? Traditional approaches designed for structure: • structured data • structured analytics • structured process
data hub (EDH) Powered by Apache Hadoop A new way to work with data. • One platform for unlimited data • Unified, multi-framework data access Cloudera delivers: • Enterprise Security • Data Governance • Complete Management • Open source, open standards Security and Administration Unlimited Storage Process Discove r Model Serve Deployment Flexibility On-Premises Appliances Engineered Systems Public Cloud Private Cloud Hybrid Cloud
Systems Data Access Business Analytics Custom Applications Existing Data Databases Operational Applications New Data Enterprise Data Hub Security and Administration Unlimited Storage Process Discover Model Serve Manage Compliance From risk due to regulations and customer privacy concerns, to trust in a secure and compliant platform. Unlock Value from Data From analytics for some, to insights for all. Keep Unlimited Data From disparate and limited views, to unlimited information access. Benefits of an enterprise data hub architecture
Ecosystem with 1,450+ Partners Data Systems Applications System Integration Operational Tools Infrastructure Enterprise Data Hub Security and Administration Unlimited Storage Process Discover Model Serve
is different than traditional approaches 1. Economically feasible to store more data 2. Powered to predictably process large data sets 3. Ability to build your data asset at linear scale 4. Collect data in native format – enables agility 5. Build history of activity by collecting data prior to its use 6. You can have near real-time access to data, plus a view of history 7. Create community data by sharing across your business 8. Out-of-the-box thinking and fail-fast increases innovation Extreme performance and efficiency. Analytic agility.
approach Collect, Create, Manage unlimited data Explore, Analyze data in many ways Operationalize insights to drive action • Inventory, prioritize, collect existing data. • Identify new data sources that could be created. • Instrument your physical and virtual assets. • Start with single datasets. Connect, clean, and model. • Enable deeper analysis and new self-service users. • Move to multi-dataset and predictive analytics. • Operationalize through existing BI tools and reports. • Embed models in existing processes. • Build new data-driven applications. Successful big data projects break the process down into simple steps, and iterate:
Real-time ingest/serve New data sources More complex analysis Add … … over time Collect, Create, Manage unlimited data Explore, Analyze data in many ways Operationalize insights to drive action
Working with data in an EDH Collect, Create, Manage unlimited data Explore, Analyze data in many ways Operationalize insights to drive action Agile Process Stage Data Treatment User Access IT Ops, InfoSec, DBA, ETL Data Team BI, Analysts, Data Science “Business” Users Anyone 1. 2. 3. Enterprise Data Hub Raw Data Load, secure, govern, tag Enriched Data Blend, clean, structure Trusted Data Enable wide access
big. Operational Efficiency New Business Value Security and Administration Unlimited Storage Process Discove r Model Serve Optimize your architecture. Reduce EDW costs, improve performance. Discover new insights. Deliver true self- service BI. Deliver real-time insights. Build data applications. Operational Data Store Data Discovery & Analytics Operational Analytics
Don’t smoke • Walk 30-40 minutes daily • Eat >5 servings of fruit/veg a day • Sleep 7 hours a night • Enjoy a few alcoholic beverages a week • MORGEN STUDY 2013 Netherlands 17,887 men and women • Karolinska study 2014 Sweden 20,721 men
by US Adults, 2014 Average Time Spend per Day with Major Media By US Adults, 2014 (hrs:mins) Digital 5:46 -Mobile 2:51 -Desktop/laptop 2:12 -Other 0:43 TV 4:33 Radio 1:28 Print 0:26 -Newspaper 0:14 -Magazines 0:14 Other 0:14 TOTAL 12:28 Consumers now spend the majority of their time with Digital Devices
Total Media Ad Spending, by Media, 2012 - 2017 billions 2012 2014 2017 TV $60.70 $65.52 $71.00 Cable TV $27.66 $30.57 $34.43 Local broadcast TV $16.10 $17.07 $18.02 Network TV $13.69 $14.33 $14.60 Other $3.25 $3.54 $3.95 Digital $36.57 $50.01 $71.41 Direct mail $19.48 $20.14 $17.67 Newspapers $19.75 $16.47 $12.82 Magazines $12.68 $10.73 $7.80
a specific channel to simply a part of life 2 Digital as Solution The best uses of digital are grounded in solving consumer needs. Good, old- fashioned value creation and capture 3 Data as the Enabler Data helps “prove,” but more importantly helps us “find” Three Defining Trends
internet has undergone a massive evolution – from the early days of the consumer web, to today’s ‘always-on’ world. Source: Wikipedia, eMarketer, 2013 1994: First banner ad runs 1991: www. information protocol defined (founding of consumer internet) 1998: Google founded 2012: Smartphone penetration exceeds 50% of US population 2007: iPhone launches 2008: Apple Launches App Store 2004: Facebook founded 2005: YouTube founded 2006: Twitter founded 2010: iPad launches 2013+: Google Glass beta launches 2013: Over 100B app downloads (android + apple app store) Rise of the Consumer Internet Evolution of Social Web Device Proliferation Internet Everywhere 1995: Ebay founded
is defined as using “artificial intelligence, sensors and global positioning system (GPS) coordinates to drive itself without the active intervention of a human operator.” • That includes technology such as lasers, cameras and radar. Passed state legislation: California Florida Michigan (pending) Nevada (in effect Mar’12) US DOT’s NHTSA released guidelines for states to follow for self-driving vehicles. Other self-driving vehicles developers include:
2014 (hrs:mins) Digital 5:46 • Mobile 2:51 • Desktop/laptop 2:12 • Other 0:43 …But They Spend Far More Time with Their Digital Devices Source: eMarketer: Average Time Spent per Day with Major Media by US Adults, 2014
for consumers has always been the key success. Digital is enabling new players to transform the value equation across categories. Source: Razorfish Competitive Intelligence; Fast Company 2013 Increasing Benefits Lowering costs (+)
targeting Key Data Capabilities Responsive Personalization and customization based on your unique profile Predictive Automated modeling that tests and learns into driving the most connections to drive goals
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