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MAKING BIG DATA RELEVANT FOR YOUR BUSINESS! Name Title Microsoft Canada.

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Presentation on theme: "MAKING BIG DATA RELEVANT FOR YOUR BUSINESS! Name Title Microsoft Canada."— Presentation transcript:

1 MAKING BIG DATA RELEVANT FOR YOUR BUSINESS! Name Title Microsoft Canada

2 THE NEW WORLD OF DATA IN ACTION Demo - Social Analytics Demonstration 2

3 Big Data BI for the masses Running Mission Critical Providing quality data WHAT IT MEANS TO YOU! WHAT WE JUST SAW! 3 Powerful familiar tools to visualize data Mixing structured with unstructured data Dealing with large set of data in a dependable manner Aggregation of data

4 The New World of Data Getting value out of Big Data Business Insight The last mile to the user The Components of Big Data ABOUT THIS SESSION Roadmapping your Org to Big Data Summary

5 THE WORLD OF DATA IS CHANGING 5

6 WHAT WE HEAR FROM CUSTOMERS 6

7 70% of U.S. smartphone owners regularly shop online via their devices. 44% of users (350M people) access Facebook via mobile devices. 50% of millennials use mobile devices to research products. 60% of U.S. mobile data will be audio and video streaming by Mobility 2/3 of the world's mobile data traffic will be video by % of BI will be consumed via handheld devices by Gaming consoles are now used an average of 1.5 hrs/wk to connect to the Internet. 80% growth of unstructured data is predicted over the next five years. 1.8 zettabytes of digital data were in use worldwide in 2011, up 30% from in 4 Facebook users add their location to posts (2B/month). 500M Tweets are hosted on Twitter each day. 38% of people recommend a brand they like or follow on a social network. 100M Facebook likes per day. Brands get Big Data Social Mobility Cloud Tackling growth in the volume, velocity and variety of data THE NEED: BUSINESS ANALYTICS FOR THE NEW WORLD OF DATA

8 How do I optimize my fleet based on weather and traffic patterns? SOCIAL & WEB ANALYTICS LIVE DATA FEEDS ADVANCED ANALYTICS Whats the social sentiment for my brand or products How do I better predict future outcomes? BIG DATA ENABLES A NEW SET OF QUESTIONS

9 INSIGHTS FROM ANY DATA, ANY SIZE, ANYWHERE LEVERAGING ON PREMISE AND CLOUD PLATFORMS

10 WHAT IS BIG DATA? 10

11 Web app optimization Smart meter monitoring Equipment monitoring Advertising targeting Life sciences research Fraud detection Healthcare outcomes Weather forecasting Natural resource exploration Sentiment analysis Churn analysis Traffic flow optimization IT infrastructure optimization Legal discovery SOME COMMON BIG DATA SCENARIOS

12 PDW/Big Data Business Scenarios Industry/VerticalScenarios Financial Services Modeling True Risk Threat Analysis Fraud Detection Trade Surveillance Credit scoring and analysis Web & E-Tailing Recommendation Engines Ad Targeting Search Quality Abuse and click fraud detection Retail Point of Sales Transaction Analysis Customer Churn Analysis Sentiment Analysis Telecommunications Customer Churn Prevention Network Performance optimization Call Detail Record (CDR) Analysis Analyzing Network to Predict Failure Government Fraud Detection and Cyber Security Oil & Gas/Utilities Smart meter monitoring Real-time drilling data analysis Seismic data analysis Reservoir modeling Healthcare Genomics research Cancer Research Health Pandemics early detection Air quality monitoring General (Cross Vertical) ETL & Processing Engine

13 MICROSOFT BIG DATA 13

14 ACTIVATE DATA AS THE NEW CURRENCY 14

15 ANY DATA, ANY SIZE, ANYWHERE – CLOUD ON YOUR TERMS 15

16 ALWAYSON Helping enable global HA, through greater uptime and manageability Unified HA Solution

17 MISSION-CRITICAL WORKLOADS AND APPLICATIONS TOP STATS in production workloads 100TB 20TB 88PB 30min 24TB Largest Single Database Largest Table Most Data in a Single App Data Load Time for 1TB Largest Cube RECORD-BREAKING performance and scale

18 PERFORMANCE & SCALE, TIER 1, MISSION CRITICAL Major companies bet their business and future on SQL Server

19 Embrace insight naturally Accelerate broad adoption Move fast. Move first. Our perspective A holistic approach to business analytics

20 MICROSOFT IN THE LEADER QUADRANT FOR BI AND DW 20 Gartner, February 2012 – before SQL Server 2012 release Business Intelligence Platform Data Warehouse Database Management Systems Microsoft exhibits one of the best value propositions on the market with a low cost and a highly favorable price / performance ratio Microsoft exhibits one of the best value propositions on the market with a low cost and a highly favorable price / performance ratio - Gartner, February 2012 Microsoft exhibits one of the best value propositions on the market with a low cost and a highly favorable price / performance ratio Microsoft exhibits one of the best value propositions on the market with a low cost and a highly favorable price / performance ratio - Gartner, February 2012

21 Evolution of BI Self-Service BI Traditional BI IT Pro End Users Existing Data LOB Applications Files Data Marts ETL/Data Quality AnalysisReports Dashboards & Scorecards Provision Analysis Cubes Data Warehouse Data Staging Spreadsheets Specialized Tools Multiple BI tools Multiple BI tools High learning curve High learning curve Spreadmarts/Silos Spreadmarts/Silos Not scalable Not scalable Multiple BI tools Multiple BI tools High learning curve High learning curve Spreadmarts/Silos Spreadmarts/Silos Not scalable Not scalable Existing Challenges

22 RAPID DATA EXPLORATION AND VISUALIZATION Only 28% of potential users are using the standard BI platform of choice in organizations¹ Stunning, interactive data visualizations, Power View Power View. Familiar tools Familiar tools built on Excel & SharePoint PowerPivot Mashup data, PowerPivot ¹ Gartner, The Consumerization of BI Drives Greater Adoption, James Richardson, June 3, 2011

23 CREDIBLE, CONSISTENT DATA Companies with accurate data perform better¹ ¹Source: Turning Pain into Productivity with Master Data Management, Aberdeen Group, Feb 2011 Semantic Single BI Semantic Model DataQuality Services Delivered with Master Master Data Services % of master data complete & accurate Hrs spent per employee each week searching for info Top 20% Performers 1.2hrs Middle 50% Performers 2.8hrs 91% 68% Under 50% Bottom 30% Performers 6hrs

24 SQL SERVER

25 AppliancesReference Architectures Dell Parallel Data Warehouse HP Enterprise Data Warehouse Dell Quickstart Data Warehouse HP Business Data Warehouse WE MANAGE RELATIONAL DATA WITH MICROSOFT ENTERPRISE DATA WAREHOUSE SOLUTIONS Fast Track for

26 THE ROADMAP TO BIG DATA 26 Start thinking about the value Big Data for your organisation Use DPS to get SQL Server 2012 value now! Take us on the Business Insight Challenge Evaluate appliances and Cloud scenarios - Hybrid IT Evaluate reviving Past DataWarehouse assets to provide value Have a great day!

27 © 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.


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