Mega trends in information management

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Mega trends in information management

  1. 1. 1 Software GroupConfidential 752: Mega trends in database and information management a.k.a. Dell Software Information Management – evolving tomeet your data requirements Guy Harrison ExecutiveDirector, R&DInformationManagement
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  7. 7. Dell Research Division Mobility and Internet of Things 6. BYOD is changing from “secure the device” to “make it easy for me to use my device” 7. Internet of things. Opportunity for management, coordination and security of devices, opportunity for servers outside the data center 8. Wearable computing as next potential platform Modern IT and Application Infrastructure 1. By 2018, majority of apps delivered as services, majority of data will be in cloud 2. Software defined data center – disrupts the network and storage leaders and allows the server leader to win with software on servers 3. Telco networks will transform to software on servers or as virtual appliances in cloud 4. App development moving to composite apps – stitching of existing SaaS and PaaS components Security 9. New usage paradigms in a connected world needs new kinds of security – Dell opportunity is to develop end-to-end security across our products 10. Using analytics to detect abnormal user and application behavior – big opportunity for Dell to drive security analytics leadership DellTechnologyOutlook 8 Big Data and Data Analytics 5. Most industries will integrate “Big data” analytics into business processes to maintain competitive edge. Dell can be the enabler for the SMB through provision of infrastructure, analytic solutions and data. Source: IDC, Gartner, Forrester,EverestGroup, Company websites,Dellinternal. 8
  8. 8. 9 Software GroupConfidential Industry Mega-Trends Mobility Cloud Social BigData
  9. 9. 10 Software GroupConfidential Mobility • Quad-core 1.4 GHz CPU • 2GB RAM • 32GB SSD • 1080p display • LTE/Bluetooth/WiFi • 16MP & 2MP Camera • GPS & Compass
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  24. 24. 25 Software Group Data Input
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  26. 26. Siri From now on, I’ll call you ‘An Ambulance’. OK? “Siri call me an ambulance” I found 14 bridges nearby: “I want to jump off a bridge”
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  29. 29. 30 Software Group Brain Control
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  32. 32. 33 Software Group Muze
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  35. 35. 36 Software Group The instrumentedhuman • Bluetooth Personal Area Network • 3G/WiFi Wide Area Network • GPS • Storage • Pulse, temp monitor • Silent alarms • Pedometer, sleep monitoring • Compass • Camera • Mike/earphones • Heads up display • Emotion/Attention monitor
  36. 36. 37 Software Group Cloud and Internetof Things
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  41. 41. 42 Software Group Internetof Things Market Drivers • Declining device and sensor costs • Broad availability of network connectivity and CPU power for analytics • Consumer Electronics (nest, etc) • Regulations – e.g. Positive Train Control by 2015 • Surveillance Society
  42. 42. 43 Software Group Social
  43. 43. 44 Software Group “Social media create a revolution in communicationsand will definesociety’s evolution” I need to pee I peed This is where I pee Look at me peeing Why do I pee? I am good at peeing
  44. 44. 45 Software Group The culminationof cloud, social and mobile
  45. 45. 46 Software Group Will Big Data kill retail?
  46. 46. 47 Software Group Prevalenceof Showrooming 0 10 20 30 40 50 60 70 Consumer Electronics Home Improvement Pct Garter Research G00249458 Survey Analysis: Focus on Customer Basics to Challenge Amazon, as 'Showrooming' Is Universal but Not Unbeatable Published: 12 February 2013
  47. 47. 48 Software Group Some novel defences
  48. 48. 49 Software Group Battlingshowrooming Selection Stock Faster Cheaper Dynamic Pricing Predictive ordering Assortment optimization Predictive recommendations Personalization
  49. 49. 50 Software Group Data and algorithms are the key to retain survival in the Big Data era • Online has significant advantages • Retailers can only survive by embracing online and emulating online practices – Dynamic pricing – Shelf optimization – Personalized service and selection • Only big data analytics can provide these advantages
  50. 50. 51 Software Group There’s a similar story in every industry Web Transport Power Grid Dating Retail Security FinanceGovernment Science Healthcare Insurance Telecom Advertising
  51. 51. 52 Software Group Generatingcompetitive advantage through “Big Dataanalytics” MachineLearning Programsthatevolvewith “experience” Collective Intelligence Programsthatuseinputs from “crowds’ toseem intelligent PredictiveAnalytics Programsthatextrapolate from existing datainto the future BigDataAnalytics AKADataScience
  52. 52. 53 Software Group Collective Intelligence
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  61. 61. 62 Software Group Google Flu Trends
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  63. 63. 64 Software Group Collective Intelligence outsmarts Artificial Intelligence?
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  68. 68. 69 Software Group ArtificialIntelligence Strikes back
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  73. 73. 74 Software Group Watson is big data AI – and was builton Hadoop
  74. 74. 75 Software Group Hadoop
  75. 75. 76 Software Group Pioneers of Big Data
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  81. 81. 82 Software Group Hadoop: Open Source Map-ReduceStack
  82. 82. 83 Software Group Hadoop at Yahoo Yahoo! Hadoop cluster: • 4000 nodes • 16PB disk • 64 TB of RAM • 32,000 Cores
  83. 83. 84 Software Group Economies $4,911 $750 $0 $1,000 $2,000 $3,000 $4,000 $5,000 $6,000 Exadata Hadoop Exadata vs Hadoop $$/TB (Hardware only)
  84. 84. 85 Software Group Schema on Read vs Schemaon Write Data Analyse Aggregate Norm alize Cleanse Code Extract LoadTransform Data Warehouse Data Load Hadoop Analys e Cleans e Code Utilize Schema on Write Schema on Read Utilize
  85. 85. 86 Software Group Generatingcompetitive advantage through “Big Dataanalytics” MachineLearning Programsthatevolvewith “experience” Collective Intelligence Programsthatuseinputs from “crowds’ toseem intelligent PredictiveAnalytics Programsthatextrapolate from existing datainto the future BigDataAnalytics AKADataScience
  86. 86. 87 Software Group Predictive Analytics y = 0.9715x + 0.7191 -20 0 20 40 60 80 100 120 0 20 40 60 80 100 120 • Linear regression • Non-linear (curve fit) • Multivariate • Time series • Logistical Regression • CART
  87. 87. 88 Software Group Classification • Create a model that identifies/classifies new data • Spam detection, churn risk, customer value
  88. 88. 89 Software Group Clustering • Group data without a pre-existing classification scheme • For instance, basket analysis
  89. 89. 90 Software Group Supervised MachineLearning Raw Data Clean Validate Model Candidate Model Training Set Validation Set Production Model New Data New Business Existing Business Prediction
  90. 90. 91 Software Group Inmaps.linkedin.com Unsupervised learning
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  92. 92. 93 Software Group Big DataAnalytics Data Science Search Optimization Recommendation Systems Security •Vulnerability •Penetration Detection Fraud Detection CRM •Churn •Defaults Medical •Risk analysis •Diagnosis •Prognosis Game optimization Advertising •Targeting •Tailoring
  93. 93. 94 Software Group DataScience is hard • Machine learning, collective intelligence, Hadoop, predictive analytics, R, Weka, Mahout, are HARD • Small-medium businesses need help to compete
  94. 94. 95 Software Group DataScientists to the rescue?
  95. 95. 96 Software GroupConfidential DellSoftware InformationManagement MattWolken Vice President, Information Management Business
  96. 96. 97 Software GroupConfidential Agenda • What is Information Management and how it fits in Dell Software • The “data problem” aka why you should care • Dell’s perspective and our solutions – Analytics & integration – Database management
  97. 97. 98 Software GroupConfidential Dell Software solutions Data center & cloud management • Endpoint management • Performance management • Virtualization & cloud mgmt • Windows server mgmt • Application enablement/delivery • Desktop virtualization • Mobile device mgmt • Mobile security Information management • Application & data integration • Business intelligence & Big data analytics • Database management Mobile workforce management • Email security • Endpoint security • Identity & access management • Network security Security Data protection • Application protection • Disaster recovery • Enterprise backup/recovery • Virtual protection
  98. 98. 99 Software GroupConfidential Information Management Database management Application & data integration Business intelligence and Big data analytics Manage data across structured and unstructured data sources Integrate disparate data stores, both on- premise and off-premise Discover trends and make informed decisions with analysis based on all data
  99. 99. 100 Software GroupConfidential Data is beingcreatedand consumedat a rapid pace 247 Billion Emails are sent everyday. 80% are spam. $232 Billion dollars will be spent on Big Data through 2016. $600 Billion Dollars in waste annually for bad data or poor quality data. 4.4 Million IT jobs globally will be created to support big data. Only 1/3 will be filled. 37.5% of large organizations said that analyzing big data is their biggest challenge. 70% of data is created by individuals. Enterprises are responsible for storing and managing 80% of it. 1.8 Zettabytes of business data in use in 2011, up by 30% from 2010. 48 Hours of video are uploaded to YouTube every minute, resulting in 8 yrs of content daily. 100 Billion RFID tags estimated to be sold in 2015. Sources: https://www.espatial.com/articles/20-shocking-facts-and-figures-about-big-data/
  100. 100. 101 Software GroupConfidential Historically, data was stored mostly in relational databases Structured Data Database Extract, Transform, Load (ETL) Data provisioning Data warehouse Database management Data analysis Trained StaffTool Chain
  101. 101. 102 Software GroupConfidential Petabyte Exabyte Zettabyte Terabyte Market situation: Data growth has skyrocketed Multiple data types from many sources Transactional Data Generated and stored in databases • Structured • Measured growth Human Files Content created outside databases • Facebook, Twitter, RFID, cell phone etc. • Multiple formats and different speeds of data creation • Exponential growth • Docs, Images, Video • Multiple formats • Fast growth Social & Sensor data Increased exponentially
  102. 102. 103 Software Group The industrial Revolution of data
  103. 103. 104 Software GroupConfidential Market problem: Data silos->fractured tool chain->fragmented analysis Structured Database 1 Extract, Transform, Load (ETL) Data provisioning Data warehouse Trained Staff Tool Chain Database management Analysi s Analysi s Analysi s Analysi s Analysi s Structured Database 2 Extract, Transform, Load (ETL) Data provisioning Data warehouse Database management Trained Staff Tool Chain Text Data store Extract, Transform, Load (ETL) Data provisioning Data warehouse Data management Trained Staff Tool Chain Sensor Data store Extract, Transform, Load (ETL) Data provisioning Data warehouse Data management Trained Staff Tool Chain Social Data store Extract, Transform, Load (ETL) Data provisioning Data warehouse Data management Trained Staff Tool Chain` App & Data Integration
  104. 104. 105 Software GroupConfidential Dell Information Management solutions break data silos, manage, integrate and discover trends in all data • Foster collaboration between IT and Line of Business • Empower more people by offering self service access to data • Make informed decisions today and into the future OneVendor –Intuitive Tool Chain- All Data Manage Integrate Structured, text, sensor, and social Data store Extract, Transform, Load (ETL) Data provisioning Data warehouse Data management Trained Staff Tool Chain Discover
  105. 105. 106 Software GroupConfidential Toad is abest of breed productivity tool for DBAs and developers Oracle SQL Server Sybase Hadoop DB2 NoSQL Cloud Eclipse MySQL Repeatedly named #1 in database development and optimization by IDC1 Over 2 million users, and 3 million visitors to online community Toad World toadworld.com Similar user experience across different DB platforms 1. Source: IDC, “Worldwide Database Development and Management Tools 2013-2017 Forecast and 2012 Vendor Shares” (Doc #242376)
  106. 106. 107 Software GroupConfidential SharePlex: Zero downtime migrations: DB, OS, Apps • Oracle database migrations • Expired support on older versions • New features / functionality in newer versions • Change in edition: Standard / Enterprise • OS migrations/change hardware vendors • Moving to new servers (e.g. Solaris to Linux) • Exadata, RAC, cloud or virtualized environments • Provide a copy of data to a different platform (i.e. Oracle to Sybase, Oracle to Hadoop) • Storage migrations • Replace with newer / faster disc array • Reduce risk during application upgrades • Upgrade the application to a newer version • Coincides with a hardware and / or database upgrade Database Operating System Application Custom Apps
  107. 107. 108 Software GroupConfidential Cloudapps Boomiintegrates apps and data stores On-premise 128-bit encryption (metadata only) Data DataData External firewall
  108. 108. 109 Software GroupConfidential Toad enables self-service BI Toad Data Point (Querying and Data Prep) Toad Intelligence Central (Data mashups & Collaboration server) Toad Decision Point (Data discovery & visualization) Presentation Layer Share workbooks Data Sources RDBMS Big Data Data warehouses Desktop Cloud apps BI sources Ensures IT governance Provides rapid and governed access to all traditional and emerging data sources Enables self service access Easily access underlying data sources using self service tools Increases ROI of existing BI Complements existing tools and easily snaps into IT/BI and LOB systems Fosters collaboration between IT and LOB Bridges the gap between business users and IT with tools that enable collaboration
  109. 109. 110 Software GroupConfidential Leveraging Data & Analytics presents enormous potential for organizations of CIO’s say they plan to expand Analytics this year or next Ranking of Analytics & BI in Gartner CIO survey of top technology priorities (2013) Employment opportunity. By 2015, 4.4M IT jobs globally will be created to support big data, 1.9M IT jobs in US alone! #1 70% 1.8ZB#1 57% of mid-market companies consider business analytics critical to operations 90% of all the data in the world has been generated over the last two years
  110. 110. 111 Software GroupConfidential The potentialbenefits are real and are already being experienced today! Which statement best describes the value you’ve seen from your predictive analytics efforts? We have measured positive top- and bottom- line impact We have measured top-line impact only We believe that we have become more effective, but can’t measure top-line impact We have measured a cost reduction only We believe we have become more efficient, but cannot measure impact We have gained more insight 36% 7% 18% 2% 12% 25% Based on 126 active respondents. Companies that rate themselves substantially ahead of their peers in their use of data are more likely to rate themselves as substantially ahead in financial performance, according to findings from the Economist Intelligence Unit. Information Week: State of Analytics report Dec 2013 www.cio.com/article/730457/Data_Driven_Companies_Outperform_Competitors_Financially?page =2&taxonomyId=3002 3X
  111. 111. 112 Software GroupConfidential Great data driven opportunities abound but problems emerge with data complexity… Data growth brings opportunity…. ….but, there are new challenges 1 in 3 Organization leaders frequently make decisions based on Information they don’t trust, or don’t have Organization leaders say they don’t have access to the information they need to do their jobs Of CXOs agree they have more data than they can use effectively 1 in 2 60% IDC, Gartner miscellaneous reports
  112. 112. 113 Software GroupConfidential Keycomponentstobuildend-to- endBI/Analyticssolutions Dell’s offering was not complete… Data Integration Database Management Advanced Analytics Business Intelligence Server and Storage Server and Storage TOAD & Shareplex TOAD BI Boomi Kitenga In order to address the demands that face mid-market customers, Dell must offer end-to-end solutions enabled with advanced analytic capabilities
  113. 113. 114 Software GroupConfidential • Highest Business Value and Complexity From Predictive Analytics • There Remains a Dearth of Flexible, Configurable, and Reliable Predictive Analytics Solutions Evolution of BI Solutions Query, reporting, & search tools OLAP Dashboards, scorecards Predictive analytics: IBM, SAS, StatSoft Business Intelligence Technologies [1] Source: Gartner2012
  114. 114. 115 Software GroupConfidential Dell acquires Statsoft Data Integration Database Management Advanced Analytics Business Intelligence Server and Storage STATISTICA Server and Storage TOAD & Shareplex TOAD BI Boomi Kitenga Keycomponentstobuildend-to- endBI/Analyticssolutions Dell + StatSoft = completes a strong end-to-end analytics driven information management value proposition
  115. 115. 116 Software GroupConfidential Confidential StatSoft is well recognized in the industry “I see a significantly expanding market for predictive analytics software. The best strategy [for Stinger] might not be to go directly after SAS, but rather fill the need for all the new customers who are intimidated by SAS or IBM especially in the mid-market” Mike Gualteri at Forrester 1 Acquired by SAP Sep 2013 StatSoft StatSoft
  116. 116. 117 Software GroupConfidential Confidential 11 7
  117. 117. 118 Software GroupConfidential Confidential Data Visualization 11 8
  118. 118. 119 Software GroupConfidential Confidential Live scoring –integration into operational systems 11 9
  119. 119. 120 Software GroupConfidential Confidential Industry and cross-industry packagedsolutions 12 0
  120. 120. 121 Software GroupConfidential Over 30 years of InformationManagement softwareexperience Tool for Oracle Application Development born in 90’s Quest Software acquires TOAD in 1998 TOAD expands support for Microsoft SQL Server, Sybase, IBM DB2, and MySQL in 2000’s In 2009, TOAD supports NoSQL, Hadoop, MongoDB, Cassandra, SimpleDB, Azure Later in 2009 Toad Data Point is launched for data analysts 2010 Dell Acquires Boomi 2011 Toad Decision Point is launched for business users 2012 Toad Intelligence Central launched for collaboration 2012 Dell acquires Quest Software & Kitenga Big Data Analytics 2013 Toad BI Suite 2.0 Boomi Created in 2000 2013 Boomi MDM launched Social Network Analytics Platorm Quest creates SharePlex in 1999 Quest creates Spotlight in 2000 2012 Dell launches Quickstart Data Warehouse to solve needs of SMB 2014 Dell Acquires StatSoft Dell & StatSoft founded in 1984
  121. 121. 122 Software Group Visit the DellSoftware Booth Enter for a chance to win a Dell Venue Pro 11 tablet Draw is at 2:45pm Thursday
  122. 122. Please complete the session evaluation on the mobile app We appreciate your feedback and insight guy.harrison@software.dell.com @guyharrison Guyharrison.net

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