Teradata Analytics for SAP Solutions CTO Roadshow, Moscow. Ruud Blommaert, SAP COE Teradata International 26 th MAY, 2015

Transcription

1 Teradata Analytics for SAP Solutions CTO Roadshow, Moscow Ruud Blommaert, SAP COE Teradata International 26 th MAY, 2015

2 A Questionnaire first: SAP ERP Customer? SAP BW Customer? SAP BusinessObjects Customer? Using SAP BW for data integration SAP & non SAP? Besides SAP BW, other dwh for non SAP data? Challenges with SAP BW? Performance & Flexibility Future roadmap 2

3 3 Within the short timeframe Teradata has shown that it is capable of integrating data from different sources, which we were not able to do during the last 18 months

4 Ruud Blommaert SAP COE, Teradata International NewFrontiers, Sales & Business Development (3.5 years) Genpact, SAP BW/BI team lead (2.5 years) SAP Netherlands, CPM Product Management (4 years) Business Objects, Project Management (1 year) Crystal Decisions, Solution / Project Management (8 years) Impact 4

5 How relevant is your SAP data? INTERNAL_SAP INTERNAL_OTHER EXTERNAL_COMMERCIAL EXTERNAL_PUBLIC % Impact ies 2000ies 2010ies 2020ies 5

6 Customer Case

7 7 Business drivers from product to customer focus

8 Challenges for IT Business is real time, systems are not Very complex system landscape Long lead time to implement new functionality Reduce IT costs Low Business ownership & IT responsibility 8

9 IM Platform Key Objective Establish a high performance End2End information value chain as a backbone for real-time and 360 visibility of the Customer s enterprise Establish One Source of Truth so that enterprise data is copied once Simplify the current landscape ( extract once, use many principle). Become a Real-Time Enterprise by collecting and storing the data as soon as possible after it is created The models that are visible and understandable by business users. Distribute information from the central data hub. Enable subscriptions to data flows Gain fast time to market 9

10 Scope of CVP (Customer value prototype) Business Scenario Sales order based & Order Intake KPI - Improve funnel accuracy customer 360 view - Funnel Health KPI EIM Scenario Acceleration of delivery - Changing data models Impact 10

11 11 What we delivered!

12 Customer Benefits Summary of CVP/Pilot Business: Within weeks Teradata has shown that it is capable of integrating data from different sources, which we were not able to do during the last 18 months" EIM: The proven solution enables acceleration through early availability of trusted data Architecture: Virtually all required capabilities are present in the solution and it enables quick processing of information from different sources to deliver business value Program: The new out of the box solution architecture will allow us to accelerate, however, this requires a different approach and a new Impact way of working 12

13 Teradata Analytics for SAP Solutions

14 Teradata Analytics for SAP Solutions - Overview ETL semantic ERP DR ELT core ELT staging rdbms replication Teradata Out-of-the-Box End-2-End solution Quick, integration from your SAP systems in days/weeks not months/years Combine data from multiple sources (SAP ERP and non SAP) Optimized data acquisition process and near real time capabilities Reduced Total Cost of Ownership 14

15 Why using Data Replication? LOW performance impact on SAP Application layer during data load Most reliable delta process Most efficient data load process Reduce development time of customizations Provide near real time reporting capabilities Impact 15

16 Available modules (Mandatory vs. Optional) Category Business Modules Base Module Data Replication Financials Sales, Logistics, Profitability Human Resources Manufacturing and Operations Data Quality Reporting FA: CC: PCA: AP: AR: AM: SD: RV: PU: Impact Financial Accounting Cost Control Profit Center Accounting Accounts Payable Accounts Receivable Asset Management Sales and Distribution Revenue (Billing) Purchasing Core Structures, Master Data, Hierarchies DR FA, CC, PCA, AP, AR, AM SD, RV, PU, IV, COPA HR, CA PM, PC, PP MDQR IV: Inventory Management COPA: Controlling Profitability Analysis HR: Human Resources CA: Time Registration (CATS) QM: Quality Management PM: Plant Maintenance PC: Project Control PP: Production Planning MDQR: Master Data Quality Reporting 1 16

17 Summary Proven Solution Principal Design issues are solved Integrated Architecture Rapid Deployment / Agile Flexible & Customizable NRT data acquisition Reconsiliation by Design Impact Reduced Total Cost of Ownership Content out-ofthe-box 17

18 Some sample business scenario s Impact 18

19 Other Customer References

20 Proactive Reliability Centered Maintenance One of the world s largest independent exploration and production companies of crude oil and natural gas. They operate globally in some of the most remote parts of the world and maintain a strong commitment to safety & operating excellence. Problem Decreased Oil Production: Lack of visibility into integrated operations around the world was leading to increased maintenance costs from unplanned equipment outages. Limited Business Agility: Their data was locked up in 10,000 aggregated BW cubes making business self service and access to atomic data for ad-hoc reports impossible. Solution TAS Base plus Plant Maintenance & Project Control using Informatica, CDC, Spotfire, OLAP connector, & Excel Fast implementation delivering valuable and easy accessible content Data Replication handled updates and volumes to meet SLAs Access to granular data to determine which equipment had been maintained Impact Allocation and attribution of yearly multi-billion dollar maintenance spend Increase equipment availability and reduce maintenance costs Improved predictability of asset availability Unlock the potential of the data for unintentional benefits Teradata

21 Global Spend & Sales across 16 brands Problem Blokker is a Netherlands based chain stores that focus on household goods, toys, and garden. They own 16 chains, active in twelve countries, and run approx stores. SAP Integration: Each operating brand name is using different IT environments and systems, making it difficult to address Global Spend and Sales without enterprise visibility to orders, revenues, margins, & spend. Time to Value: Blokker spent the first 6 months trying to do a data integration project on their own before they realized the complexity and SAP expertise needed for this type of project. Solution Customer win: June 2014 Global Sales & Spend - Installed base plus (5) modules (Account Payable, Revenue Analysis, Purchasing Management, Inventory Management, Financial Accounting) using Informatica PowerCenter and MicroStrategy Impact Lower project risk, faster development, integrated semantic model (detail), and higher value with access to detailed data Reduce Global Spend and Improve Sales with a fast and flexible integrated solution to support financial bookings, shipments, inventory, and sales invoices across the brands and ERPs Teradata

22 Financial Analytics Coca-Cola İçecek A.Ş. is an anchor bottler and a part of the Coca-Cola System. It is the 6th largest bottler in the Coca-Cola System in terms of sales volume. The company is headquartered in Istanbul. Problem CCI is using an SQL Server based system for managing sales & distribution and SAP ECC for other ERP functionalities. They have difficulties with integrating data from two main source systems. Current ETL cycles on SAP BW is taking long hours which don t meet users timely and accurate reporting needs. It s not easy to respond to new reporting requests on SAP BW system because it needs extensive SAP knowledge. They want to switch from OLAP to MPP database technology to be able to manage scalability. Solution TAS Base, Data Replication + 2 Financial modules, using SAP Data Services. Fast implementation delivering valuable and easy accessible content SAP ERP data and legacy data Integration with data from non- SAP source Impact Lower project risk, faster development, integrated semantic model (detail), and higher value with access to detailed data Teradata

23 Becoming a data driven company Integrating ERP Data and More Into a Single Integrated Data Warehouse for Common Global Operations McCain Foods Limited (McCain) is an international leader in the frozen food industry, employing 18,000 people and operating 46 production facilities on six continents. A privately owned Canadian company, McCain generates annual sales in excess of CDN$7 billion. The company s products can be found in thousands of restaurants and supermarket freezers in more than 160 countries around the world. McCain who has been successful consolidating to one ERP instance and then integrating SAP and non-sap data within their Teradata integrated data warehouse Teradata

24 24

25 Teradata