1. 1 © 2015 IBM Corporation dashDB Messaging Guide

2. 2 © 2015 IBM Corporation Positioning statement: IBM dashDB is for the new ‘builders’ – developers, data warehouse professionals and data analysts. dashDB is a fully managed cloud data warehouse service, that enables new solutions, architectures and applications to be brought to market faster on a dashDB foundation, by combining the simplicity and performance of a data warehouse appliance with the scale and agility of the cloud, with the richness of integrated analytics throughout and a diverse ecosystem of business intelligence tools.

3. 3 © 2015 IBM Corporation Target audience: Builders – developers, data warehouse professionals and analysts – who are bringing new solutions, architectures and applications to market.

4. 4 © 2015 IBM Corporation Key themes: 1.Enterprise Performance: dashDB’s new MPP capabilities enable faster query processing and overall scalability 1.Compatibility – From source system through tools – dashDB works New Netezza and Oracle compatibility allow users to keep existing applications Connect any analytic or BI tool to dashDB for a seamless cloud interface 2.Purpose built for analytics – Built from the ground up, for analytics Integrated analytics and R support differentiates dashDB from competition

5. 5 © 2015 IBM Corporation Elevator pitch (long): dashDB is IBM’s fully managed cloud data warehouse service for builders – the developers, database administrators, business analysts, data scientists, and more who are bringing new solutions, architectures and applications to market every day. IBM manages the setup, configuration, tuning and disaster recovery operations for the dashDB service, so you can get straight to creating your newest projects without spending time and resources building out data warehousing infrastructure. IBM dashDB is designed for performance and scale, utilizing technologies including IBM BLU Acceleration and embedded Netezza in-database analytics. dashDB is available through the IBM Bluemix platform, making it easy to spin up a dashDB service as you need it, and seamlessly connect to the many other cloud services. dashDB is designed with the greater business intelligence ecosystem in mind. It’s compatible with advanced analytics tooling including R predictive analytics – with RStudio fully integrated – and Watson Analytics; it connects directly with other IBM cloud data services like Cloudant and DataWorks; and it works with a wide range of third party BI toolsets including Looker, Aginity Workbench, Tableau, and many more.

6. 6 © 2015 IBM Corporation Elevator pitch (under 10 words): dashDB is IBM’s cloud data warehouse service for builders

7. 7 © 2015 IBM Corporation Elevator pitch (under 30 words): dashDB is IBM’s cloud data warehouse service for builders. IBM manages the setup, configuration, and operations for dashDB, so you get up and running quick – without wasting time.

8. 8 © 2015 IBM Corporation Elevator pitch (under 60 words): dashDB is IBM’s cloud data warehouse service for builders. IBM manages the setup, configuration, and operations for dashDB, so you get up and running quick – without wasting time. dashDB is designed for performance and scale, utilizing technologies including IBM’s BLU Acceleration and embedded Netezza in- database analytics – and works with a wide range of third party BI tools.

9. 9 © 2015 IBM Corporation Elevator pitch (under 120 words): dashDB is IBM’s fully managed cloud data warehouse service for builders – the developers, database administrators, business analysts, data scientists, and more who are bringing new solutions, architectures and applications to market every day. IBM manages the setup, configuration, and operations for dashDB, so you get up and running quick – without wasting time. dashDB is designed for performance and scale, utilizing technologies including IBM’s BLU Acceleration and embedded Netezza in-database analytics. It was designed with the greater business intelligence ecosystem in mind. It’s compatible with advanced analytics tooling including R predictive analytics – with RStudio fully integrated – and Watson Analytics; it connects directly with other IBM cloud data services and it works with a wide range of third party BI tools.

10. 10 © 2015 IBM Corporation Key use cases for dashDB

11. 11 © 2015 IBM Corporation 1. Augmenting the existing data warehouse (Hybrid) It is stated that over 90 percent of clients plan to augment their existing data warehouse. dashDB is well structured for this usage. Through dashDB, organizations are able to extend on- premise data warehouse environments to the cloud. Since you pay for the capacity you need today, the platform is elastic and is there when you need it. With dashDB, you are not forced into buying utility before you need it.

12. 12 © 2015 IBM Corporation 2. Tap into born-on-the-cloud data – Analysis of NoSQL You can easily synchronize your JSON data within Cloudant to structured data within dashDB. This process then allows for traditional BI and analytics common in data warehouses. Since dashDB has in-database predictive algorithms built in, those clients that are using Cloudant can analyze their JSON document stores, hassle-free.

13. 13 © 2015 IBM Corporation 3. Data science data store For the statistically inclined as well as for data scientists, dashDB maintains a robust set of predictive analytic algorithms. dashDB has R runtime and RStudio built in. R is widely used among statisticians and data miners for developing statistical software and data analysis.

14. 14 © 2015 IBM Corporation 4. Standalone data warehouse-as-a-service dashDB is heavily used as a standalone data warehouse in the cloud. Whether it be small start-up datamarts that you spawn off of some Cloudant data, a basic test or development environment, or even full enterprise data warehousing on the cloud, dashDB is available 24x7 for you and your organization.

15. 15 © 2015 IBM Corporation IBM Cloud Data Services