Focus on the business, not the business of data warehousing!

Transcription

1 Focus on the business, not the business of data warehousing! Adam M. Ronthal Technical Product Marketing and Strategy Big Data, Cloud, and 1

2 Disclaimer Copyright IBM Corporation All rights reserved. U.S. Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. THE INFORMATION CONTAINED IN THIS PRESENTATION IS PROVIDED FOR INFORMATIONAL PURPOSES ONLY. WHILE EFFORTS WERE MADE TO VERIFY THE COMPLETENESS AND ACCURACY OF THE INFORMATION CONTAINED IN THIS PRESENTATION, IT IS PROVIDED AS IS WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED. IN ADDITION, THIS INFORMATION IS BASED ON IBM'S CURRENT PRODUCT PLANS AND STRATEGY, WHICH ARE SUBJECT TO CHANGE BY IBM WITHOUT NOTICE. IBM SHALL NOT BE RESPONSIBLE FOR ANY DAMAGES ARISING OUT OF THE USE OF, OR OTHERWISE RELATED TO, THIS PRESENTATION OR ANY OTHER DOCUMENTATION. NOTHING CONTAINED IN THIS PRESENTATION IS INTENDED TO, NOR SHALL HAVE THE EFFECT OF, CREATING ANY WARRANTIES OR REPRESENTATIONS FROM IBM (OR ITS SUPPLIERS OR LICENSORS), OR ALTERING THE TERMS AND CONDITIONS OF ANY AGREEMENT OR LICENSE GOVERNING THE USE OF IBM PRODUCTS AND/OR SOFTWARE. IBM's statements regarding its plans, directions, and intent are subject to change or withdrawal without notice at IBM's sole discretion. Information regarding potential future products is intended to outline our general product direction and it should not be relied on in making a purchasing decision. The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Information about potential future products may not be incorporated into any contract. The development, release, and timing of any future features or functionality described for our products remains at our sole discretion. IBM, the IBM logo, ibm.com, Information Management, DB2, DB2 Connect, DB2 OLAP Server, purescale, System Z, Cognos, soliddb, Informix, Optim, InfoSphere, and z/os are trademarks or registered trademarks of International Business Machines Corporation in the United States, other countries, or both. If these and other IBM trademarked terms are marked on their first occurrence in this information with a trademark symbol ( or ), these symbols indicate U.S. registered or common law trademarks owned by IBM at the time this information was published. Such trademarks may also be registered or common law trademarks in other countries. A current list of IBM trademarks is available on the Web at Copyright and trademark information at Other company, product, or service names may be trademarks or service marks of others. 2

3 Changing the Experience of Analytics in the Cloud Data Works! dashdb! Watson Analytics! Enable self service access & integration of multiple data sources Simplified tools to prepare, refine & secure data Open application programming interfaces for application development On-premise and cloud / internal & external data Rapid deployment of large scale data warehouses Enables scaling of both volume and processing speed Unified architecture that enables hybrid data processing, on-premise & in the cloud In-database analytic capabilities for the best analytic performance Cloud-based predictive & cognitive analytics discovery platform Designed for business use Integrated social collaboration Freemium to enterprise versions 3

4 This Changes Everything Build More Grow More Know More Focus on the business, not the business of data warehousing! 4

5 Introducing IBM dashdb Data warehouse and analytics as a service on the cloud Build More Deploy in minutes with rapid cloud provisioning No infrastructure investment for cloud agility Accelerate application development for analytics Grow More Grow more without growing the things that cost more Built-in Performance with In-memory technology Load and go with no tuning required Know More Built for Analytics to help you understand your data and business In-Database Analytics for greater efficiency and performance Compatible with Advanced Tooling like R and Watson Analytics dashdb keeps data warehouse infrastructure out of your way 5

6 The Business of Data Warehousing should not be your focus! $$$ $$$ $$$ Data Warehouse 6

7 Data is the basis of new competitive advantage Increasing investment 71% Faster ROI 13 to 1 Data warehouses will get you there over 90% of analytics customers plan to increase their analytics budgets within the next 2 years 1 Analytics pays back US$13.01 for every dollar spent 1.2 times more than it did 3 years ago 2 of big data implementations will augment, not replace, existing data warehouses Analytics Market Survey, research note, Nucleus Research, September Analytics Pays Back $13.01 for Every Dollar Spent, research note, Nucleus Research, September "Predicts 2014: Why You Should Modernize Your Information Infrastructure", November 28, Gartner.

8 Modernizing with Cloud Keeps Infrastructure out of Your Way Modernize existing Data Warehousing with on-demand cloud agility Embrace the concept of the logical data warehouse by combining cloud and onpremises deployments Faster insight without the up front infrastructure investment Full support for hybrid ground to cloud deployments Organizations gaining competitive advantage through cloud adoption are reporting: 1 2x revenue growth 2.5x higher gross profit as compared to peer companies who are more cautious about cloud computing 1 84% of CIOs cut application costs by moving to the cloud 2 77% of enterprises are in the initial stages of cloud adoption 2 58% of IT Decision Makers think cloud solutions give them better control of their data

9 Key dashdb Use Cases Extend / Modernize Extend on-premises data warehouse environments to the cloud Flexible, cost-effective growth Hybrid Cloud models support ground to cloud Cloudant Analytics Easy synchronization of JSON to structured data Allows analytics via standard BI tools In-database predictive algorithms allow greater insight for Cloudant users than ever before In-Database Analytics Robust predictive analytic algorithms Integrated with R Watson Analytics Ready Analytics Ecosystem with Partners Data Warehouse & Analytics Service Data Warehousing and Analytics in the Cloud Cloud Agility and Flexibility Analytics for Cloud Data, Data Marts, and dev/test environments 9

10 dashdb Available Now with Three Deployment Choices Open Beta Closed Beta Entry plan for smaller data volumes available today! Explore data warehousing in the cloud and see how cool it can be! Ingest data from a wide variety of sources In-database analytics included Fully integrated with Cloudant Built-in automated synchronization from Cloudant JSON data stores Build your web/mobile app and make the data available for analytics at the touch of a button! New Enterprise Plan Dedicated infrastructure Terabyte-scale capacity Contact your IBM account representative if interested

11 dashdb lets you Build More with Rapid Cloud Provisioning Build More Simple, up and running in minutes with rapid cloud provisioning No infrastructure investment provides true business agility According to a recent ITG Study: 100% of new application deployments on Exadata took 50 days or more. 1 88% of Teradata 2700 deployments took 50 days or more

12 dashdb is as Simple as an Appliance with Cloud Agility! Grow More Load and Go with no tuning required Columnar optimized for analytic workloads Memory optimized takes analytics beyond in-memory Modern Data Warehouses are constantly changing in response to business needs. Source: 12

13 Faster Answers let You Know More! Know More In-Database analytics built in R Integration for predictive modeling Partner Ecosystem for analytics IBM Watson Analytics ready Built-in, in-database analytics provide faster answers with no data movement for greater efficiency! dashdb enables predictive analytics across all the data! 13

14 Next Generation BLU In-Memory Performance Built In! Next Generation In-Memory Columnar SIMD Hardware Acceleration Actionable Compression Support for OLAP SQL extensions Connect common 3 rd party BI tools 14

15 IBM Cloud: Think it. Build it. Tap into it. IBM Netezza Advanced Analytics Built In! k-means Clustering Decision Tree Geospatial Linear Regression 15

16 The Hybrid Cloud Extending the Data Warehouse into the Cloud Cloud Data Marts Test/Dev Environments Analytics for Data already in the cloud Hybrid Cloud Sensitive Data On-premises Source Systems Large volumes of data generated 16 On-Premises Systems

17 And Extending Your Data Footprint to the Cloud Terabytes to Petabytes Gigabytes to Terabytes Auto sync of JSON Data Cloud-based JSON Data Store Auto provisioning Schemas 3 rd Party DW On-Premises Data Warehouse Data Applications In-DB Analytics Cloud Based Dev/Test Environments Analytic Marts Analytics for Cloudant 17 Enables Hybrid Deployments from Ground to Cloud

18 Providing Analytics on Cloudant JSON Data Terabytes to Petabytes Gigabytes to Terabytes Auto sync of JSON Data Cloud-based JSON Data Store Auto provisioning The only in-memory database fully optimized for analytics on Cloudant JSON Data! Cloud Based Analytics for Cloudant Analytic Marts 18

19 Cloudant Use Case: Hothead Games Revenue Model based on in-app purchases Hothead Games could leverage predictive algorithms to determine who was most likely to purchase based on past usage patterns? k-means Clustering for market segmentation, time of purchase analysis and others Decision Tree algorithms to predict customer churn or propensity to purchase Geospatial capabilities to predict the most likely locations for purchases 19 Higher offer acceptance rates More effective, targeted offers IBM Internal Use Only

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