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Maximizing Return On Information

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The growth of big data is amazing. 48 hours of video uploaded to YouTube every minute. 247 billion emails sent every day. 200 million Facebook photos uploaded each day. There is no shortage of …

The growth of big data is amazing. 48 hours of video uploaded to YouTube every minute. 247 billion emails sent every day. 200 million Facebook photos uploaded each day. There is no shortage of data, but how do you maximize the return on it? Dell can help guide you down the path to maximize your big data return. Find out more here: http://del.ly/DellSoftwareVM

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  • Sources: https://www.espatial.com/articles/20-shocking-facts-and-figures-about-big-data/
  • But then, the tool chain became complex. We went from having only structured data to unstructured and semi-structured data. And put tremendous burden on the data tool chain.
  • Multiple platforms for structured data. Different platforms for text, semi-structured, social etc.Each tool chain, is now a silo being run by separate IT teams. The real goal of data is to drive insights using end-user discovery – which is now being sold to LOBs – creating data governance issues. The chasm between IT and LOB has exacerbated due to this environment.The rosy picture of IT and Business working well together doesn’t exist anymore!
  • Manage data across structured and unstructured data sourcesIntegrate disparate data stores, both on-premise and in the cloudDiscover trends and make informed decisions with analysis based on all data
  • Turning data into insights is a journey, and there are many roads that lead to it. Where you want to go to, is dependent upon where you are right now. The fundamentals like casual data access need to be in place before you can move to proactive reporting. Similarly, you need to have established reporting systems before getting into predictive and cognitive analytics.Depending upon your company’s analytics maturity, you might be using a simple recording tool like excel or have a BI practice with a data warehouse or might have explored advanced analytics capable of predicting trends and understanding customer behavior. The bottom three in this maturity model are historical in nature. Some companies use simple recording and tracking tools to keep a track of their customers, products, revenue etc. Some go beyond that, and use BI tools to measure themselves against KPI. Some reach even beyond that into advanced analytics – where they use tools that are predictive in nature. They use historical trends to estimate profitability or enhance the analytics with other information to provide insights into customers behavior.Customer behavioral insights: Learn what your customers think about your company, product, service in real-time.“Would they recommend us to a friend?” Predictions based on trends: Predict future buying trends based on past behavior and financial status“What is the optimal inventory based on historical trend?Agility and interactivity for KPIs: Run the business using standardized metrics for rapid response to business changes “How are we performing against the organizational goals?”Storing and Modeling: Consolidate data into efficient storage, integrate silo’d data, and apply data quality measures“Which are my top performing sales regions?”Initial data recording and archiving: begin data recording and very basic ad hoc analysis“Who are my top customers?”
  • In conjunction with the rise of modern architectures, there are trends in the storage industry that naturally align with these architectures and greatly enhance the value that they bring to customers.These are NOT the ONLY trends, but they are trends that help customers understand the forces that are shaping the storage industry and why the Dell vision for storage is so powerful.These trends are (1) the rise of flash and (2) the obvious inexorable growth of data.The chart on the left depicts a forecast of where customers will be investing their storage budgets. Keep in mind – this is NOT a chart illustrating entry, midrange, and high-end storage revenues or any other product positioning. But rather, the chart categorizes the design points for storage solutions into three simple categories:THE MIDDLE GREENLet’s focus first on the middle green “price/performance” area of the chart.Historically, the price/performance segment of the market was the dominate design point in the industry with the traditional focus of balancing features and cost. It is here where legacy architectures of the past emerged – rigid and anchored to the physical (non-virtual) world. Modern architectures now are filling this space – flexible and with the agility to adapt and transform as technologies change. Key examples are scalable architectures that are deeply integrated into virtualized environments.THE TOP GOLDAs the price of flash continues to drop, more and more customers will begin to deploy “performance optimized” storage solutions whose design points are entirely focused around flash. A key enabler is the ability to intelligently tier (that is, move) hot data to flash storage. Five years ago, a new Solid State Drive (SSD) sold for about $20K. Today, flash drives sell for easily 1/10 that price. Given those costs and the incredibly high levels of performance that flash offers, customers WILL BE designing storage solutions from the ground up to leverage the growing capabilities of flash. Key examples are flash optimized arrays and hybrid arrays.THE BOTTOM BLUEFinally, customers are keenly aware of and constantly challenged by the data growth in their businesses. Getting vast amounts of cold data to “cost optimized” storage will continue to challenge everyone. Customers are already deploying high density enclosures in greater and greater numbers. Growth of data is causing customers to look at addressing their growing data in a more cost optimized manner, and they are looking to software-defined storage solutions where Dell has offerings through Nextenta partnerships.The bottom line is that customers will only be successful if they can intelligently move hot and cold data back and forth between the performance and cost optimized tiers. And, this is exactly what modern storage architectures were designed to do.
  • Dell’s solutions provide a view across the information life cycle. Right from DB Mgmt to Integration to Analytics.Toad has a robust community called Toad World, with 3m unique visitors last year. Boomi and Shareplex serve integration needs.QSDW is an appliance that comes with HW, Operating System, SQL Server, Boomi and some services.Analytics, we have different toolsIT Analyst/Data Analyst who wants to mashup different data, we have BI Suite (Data Point)For Business analysts who wants to analyze and visualize data, we have BI Suite (Decision Point)For Data Scientists, who want to perform Big Data analytics, we offer Kitenga.
  • KEY POINTS:University of Kentucky is a very strong Dell customer, dedicated to the use of technology to enhance the experience of their students by targeting gradutaion risk factors and enabling educators and students alike to proactively address issues before they become irreversible.
  • Manage data across structured and unstructured data sourcesIntegrate disparate data stores, both on-premise and in the cloudDiscover trends and make informed decisions with analysis based on all data
  • Transcript

    • 1. Maximizing return on information John Whittaker Marketing Director Dell Information Management Mike Davis Marketing Director Dell Storage - NAS Ron Pecunia Global Director Manager Dell Business Innovation Services 2013
    • 2. Growth of new data types poses new challenges $232 billion 70% 247 billion 4.4 million $600 billion 48 hours 37.5% 2.8 Zettabytes 200 million dollars will be spent on Big Data through 2016 IT jobs globally will be created to support big data. Only 1/3 will be filled. of organizations said that analyzing big data is their biggest challenge 2 2013 of data is created by users, but enterprises are responsible for storing and managing 80% of it dollars in waste annually for bad data or poor quality data of data created and replicated in 2012 emails are sent every day. 80% are spam of video are uploaded to YouTube every minute, resulting in 8 yeas of content daily photos are uploaded to Facebook every day. That’s 6 billion pictures every month
    • 3. Big Data and its dimensions Multiple data types from many sources Human files Zettabytes Exabytes Content created outside databases Transactional data Generated and stored in databases Petabytes Social & Sensor data Increasing exponentially Terabytes VARIETY 85% of data is unstructured 2013 VELOCITY 92% CAGR in data traffic from 2010–2015 VOLUME Size of data is growing 650% over next 5 years VALUE 61% of decision makers want more information
    • 4. Fractured tool chain, fragmented analysis Disparate systems based on different data types cause complex silos Semi-structured and unstructured data Structured Trained Staff Tool Chain Media Trained Staff Tool Chain Text Trained Staff Tool Chain Machine Data Trained Staff Tool Chain Social Trained Staff Tool Chain` Transactional data Video, JPEG files Email; PDF Logs Twitter, Facebook Data management Data Management Data management Data management Data management Extract, Transform, Load (ETL) Extract, Transform, Load (ETL) Extract, Transform, Load (ETL) Extract, Transform, Load (ETL) Extract, Transform, Load (ETL) Data warehouse Data warehouse Data warehouse Data warehouse Data warehouse Data provisioning Data provisioning Data provisioning Data provisioning Data provisioning 2013
    • 5. Dell simplifies data management & analysis One vendor – intuitive tool chain – all data Structured, media, text, sensor, and social Agile data store Manage data across structured and unstructured data sources Secure data management Rapid data provisioning Integrate disparate data stores, both on-premise and off-premise Efficient data Integration Discover trends and make informed decisions with analysis based on all data Analysis Analysis 2013
    • 6. Dell can help you build data capabilities at every stage of your analytics maturity Increasing maturity Cognitive analytics Predictive analytics Business reporting and analysis Data integration and consolidation Data collection and basic analysis 2013 Sentiment analysis, pattern recognition, mash- up modeling Data mining, forecast modeling, trend metrics BI and dashboards, KPI metric design, data governance Data quality, master data management, data cleansing Data modeling, database and data warehouse design Pivot tables, operational reporting
    • 7. Scalable infrastructure, modern analytical software, and professional services solve Big Data challenges Actions Challenges • Ever-growing data capacity and complexity • Underperforming infrastructure • Limited IT budgets Build out a high-performance, modular and scalable enterprise infrastructure with a shared storage architecture • Different data stores and data types • Management and integration issues • Collaboration between IT and LOBs Deploy content-agnostic, modern analytical software with cost-efficient analytics & management tools • Limited in-house best practices • Few or no proven data analytics methodologies • Challenges with multiple technology vendors Leverage storage and analytics expertise with professional services and support with single point of accountability 2013
    • 8. Big data works best when the right data is in the right place at the right time Modern infrastructure Software solutions Holistic services • Application servers • Big data analysis • Business analysis • Performance-optimized storage • Data discovery • Solution architecture • Capacity-optimized storage • App and data integration • Data administration • Private and hybrid cloud • Database management • Report design • Data integration Data stores and data warehouse repositories Hadoop big data solutions 2013 QuickStart Data Warehouse Appliances Dell reference architectures: SQL Server | Oracle | Hadoop | SAP Hana | Microsoft PDW Dell supported: DB2 | Sybase | Teradata | more…
    • 9. Modern information infrastructure The right data in the right place at the right time for the right cost Servers What it means I/O-intensive “Hot data” performance tier How Dell delivers • Flash-optimized • Hybrid arrays Networking I/O-intensive Price/ performance Balance features and cost • Scale-out NAS • Simplified management Price/performance Cost-optimized Storage 2013 Costoptimized “Cold data” lower-cost tier • Direct-attach storage • High-density storage
    • 10. Dell software solutions Leverage existing investments throughout the information lifecycle Manage Integrate Database Development Database Administration Database Monitoring • Modeling • Coding • Tuning • Scalability Testing • Maintenance • Automation • Performance • Replication • High Availability • Change Data Capture (CDC) • Performance 2013 monitoring • Alerts • DB changes • Dashboards App & data integration • Cloudbased integration • 70+ apps • MDM • ETL • Offline reporting Discover Data discovery Big data analytics • All data access • Collaboration • Provisioning • Self-serve integration • Visual data exploration • Search & Content Mining • Advanced Visualization • Drag-Drop UI
    • 11. Dell BI & Analytic focus areas Maximize your investments with a proven, end-to-end approach BI Modernization Enterprise Data Warehousing • • • • • Rich knowledge visualization • Actionable dashboards & scorecards • Economy of scale • One version of the truth Aligning with your business partners Validating your strategy Assessing your current state Maximizing value Enterprise Analytics • Quantifying the health of business processes • Drawing Insights from Big Data • Gaining insights into customers • Predicting business outcomes 2013 Our key offerings Big Data • Multiple data sources to integrate • Cost-to-scale is prohibitively high • Offload storage and processing • Need to analyze all data
    • 12. Large US Hospital Dell Professional Services Challenge Reduce patient readmission within 30 days to avoid regulatory penalties Solution Developed customer specific predicative model targeting hospital readmission rates Result Developed scoring model based on patient health history, demographics, and life style choices to identify at risk patients 2013
    • 13. Zions Bancorp Dell Toad Business Intelligence Suite Challenge The native tools previously used by the customer did not scale effectively or work with their BI system Solution Toad Business Intelligence Suite enabled them to work with Oracle, SQL Server, DB2, MySQL, Excel and SAP Business Objects in one tool. Result • Improve team productivity by 33% • Quickly build views from all data sources 2013
    • 14. University of Kentucky Dell SAP HANA and Dell Services Challenge Quickly and accurately identify academically at-risk students Solution Use Dell’s SAP HANA solution to identify these students Result For every 1% increase in the University’s graduation rate, the University potentially gains over $1 million through tuition and increased earnings capacity. 2013
    • 15. Validation of our end-to-end solution #1 #1 Provider of database development and optimization tools Market Share for iSCSI SAN Storage 1100+ “Modular servers that are the building blocks for clouds (blades for private, density optimized, etc.) outperformed the market and continue to account for a higher share of market revenue.“ —Jed Scaramella, Research Manager, Enterprise Servers, IDC Team of Certified BI & Analytics Experts across 11 locations around the globe “Dell’s information management software portfolio is the type of solution that can bolster a mid-market organization’s productivity, end-to-end.” – The Bloor Group 2013 Sources: IDC, Gartner, Bloor Group #1 Provider of midrange storage array by Storage Magazine Report on Dell: “Information Management—When One Vendor is Enough”
    • 16. Maximize your return on information Structured, media, text, sensor, and social Manage data across structured and unstructured data sources Agile data store Secure data management Rapid data provisioning Efficient data Integration Analysis Analysis 2013 Integrate disparate data stores, both on-premise and off-premise Discover trends and make informed decisions with analysis based on all data One vendor – intuitive tool chain – all data
    • 17. Let’s get started Meet with Dell experts at the Solution Showcase Visit the Marketing Analytics Hands On Lab (HOL4) to learn more about Dell Analytic solutions Schedule a post-event Whiteboard Session to address your specific requirements. Contact your account team for details. Visit a Dell Solution Center near you: Austin • New York City • Washington D.C. Chicago • Santa Clara • Mexico City • Sao Paolo Visit www.Dell.com/software 2013
    • 18. 2013