data in IBM Cognos TM1 is stored and represented as multidimensional OLAP cubes,, with data being stored at the "leaf" level Z. J.

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1 IBM Cognos tm1 data in IBM Cognos TM1 is stored and represented as multidimensional OLAP cubes,, with data being stored at the "leaf" level Z. J. Viharos Big Data Üzleti Intelligencia Csoport ( Fraunhofer Project Center on Production Management and Informatics, MTA SZTAKI, Budapest, Hungary 10/05/2012 MTA SZTAKI

2 Gartner Special segment (CPM) around 17% yearly grows IBM: 2 products tm1 as strategic future product the other: Congos Planning 2

3 IBM Cognos TM1 (formerly Applix TM1) IBM Cognos TM1 (formerly Applix TM1) is enterprise planning software used to implement collaborative planning, budgeting and forecasting solutions, as well as analytical and reporting applications. Data in IBM Cognos TM1 is stored and represented as multidimensional OLAP cubes, with data being stored at the "leaf" level. Computations on the leaf data are performed in real-time (for example, to aggregate numbers up a dimensional hierarchy). 3

4 Patented algorithm TM1 is extraordinarily powerful, scalable and performs so well that real-time operational and strategic decision-making is possible with complex data models. TM1only stores the lowest level input elements in the model, and does so very efficiently, about 10 bytes per record. When a user asks for calculated numbers, TM1 processes them on demand, using patented algorithms that The OLAP Report described as "unusually efficient." The result is Real-time Analytical Processing. The basic design of TM1 has remained intact since Earlier, Perez, a mathematician, tried the same pre-calculation designs that are widely used today, before switching to the RAM-based, real-time analytical processing approach. Perez, now TM1 chief technology officer, has worked closely with global customers since 1984 to evolve and enhance TM1. Early customers included Exxon, Equitable, Bristol-Myers Squibb and Occidental Chemical. 4

5 RAM database & just-in-time processing (ld. OLAP!) The technology is based on keeping all the active cubes (logically, if not physically) in RAM the algorithm succeeds in keeping a remarkably consistent 100,000 numbers per megabyte of RAM The largest database that Applix is aware of has a size of about 500Mb, roughly 50 million actual cells. Our "just-in-time" processing makes more sense, since 99% of the numbers in an analytical application are never needed. So why waste computer resource and time waiting for a batch process? No pre-calculation 5

6 IBM Cognos TM1 employs a distributed, client-server architecture that consists of the IBM Cognos TM1 server to which a combination of different clients can connect. 6

7 Tier 3. Admin Server Service that manages the TM1 Servers TM1 Server Server name Services requests from TM1 clients by loading shared cubes into memory, managing security, sending data to spreadsheets, updating cubes on request, and maintaining a log of changes to the database. 7

8 Data processing The data directory contains the cubes, dimensions, and system information that are loaded into memory when a Cognos TM1 server is started. When you access a server from any Cognos os TM1 client, Cognos TM1 reads data from that server's data directory. 8

9 Demo 9

10 Scalability In addition to flexibility, TM1 is truly easy to use for anyone with spreadsheet skills, unlike approaches that purport to be easy, but require a steep learning curve. The TM1 multi-cube architecture provides two important benefits for large organizations - scalablity and a distributed network architecture, both of which make TM1 applications deployable more widely and more easily. 10

11 Replication you can copy cubes (and their associated dimensions, rules, subsets, and views) from one server to another, and synchronize the updates among the copied cubes either at specified time intervals or on demand. The process of copying cubes from one server to another is called replication. Enhances response time because users can update a cube locally without having to communicate across a network. Lets users access and update a copy of a cube, even when they are not connected to the remote server on which the original cube resides Greatly enhances the scalability of TM1 TM1 provides bi-directional synchronization for replicated cubes. 11

12 Star configuration of servers (cubes) 12

13 Chain configuration of servers (cubes) 13

14 Combination 14

15 Rules Our "just-in-time" processing makes more sense, since 99% of the numbers in an analytical application are never needed. Rules 15

16 Cognos TM1 FEEDERS within TM1 rules Rule ['Variance']=N:['plan_report':'actual']-['budget']; [p p ] [ ] FEEDERS are used by the IBM Cognos TM1 calculation engine to efficiently handle sparsity in a cube with rulebased calculations. FEEDERS identify the fields in a cube that are utilized in a rule- based calculation and flag them as exceptions to the sparse data compression algorithm. FEEDERS; [plan_exchange_rates:'actual']=>['local']; 16

17 If IBM 17

18 Contact Dr. Viharos Zsolt János Project manager, Manufacturing and Business Processes Laboratory on Engineering and Management Intelligence MTA SZTAKI