Common Business Challenges

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2 Agenda 1. Recognize the challenges? 2. Who is responsible? 3. How poor Data Management affects your business 4. How Data Governance and Stewardship helps 5. Data Warehouse, IT and Data Governance 6. Data Governance and Stewardship best practices 7. Are you ready to start? 2 >

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4 Common Business Challenges Our numbers are still not commercial quality It takes You need Finance Custome rs? I don t k oks old Total rev systems Our web We have house Our repo How can I protect my data, ensure authorized access 4 >

5 Common Business Questions What data do I have? Where did What dat Is the dat How fresh Can I trus How was How is th Who ente What doe Is the data used consistently across the enterprise? Who is responsible for all this? 5 >

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10 Why does Data Management fail? to es 10 >

11 Why Data Management needs Governance Data Management is a collection of processes > Data I > Data A > Master > Metada > Privacy > Data Q These pr other process. lated decisions structure and mech However, ation can only be achieved if these processes are governed as an integrated group of processes that are aligned with the business objectives. 11 >

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14 The price of poor Data Management Financial Costs > Regul > Reven > Additi > Churn > Oppor Operation > Time ect > Expen ologies > Redun ents don t trust each others data 14 >

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19 Data Governance and Stewardship, and EDM Data Governance and Stewardship with a focus on the Enterpris > Data Q > Data I > Data P > Metada > Master > Data A 19 >

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31 Collaboration is critical Change in Culture, not Organization Data Governance sets direction and allocates resources in line with corp ectives: > Data M siness > Users, collectively respon ure Inform > All sta quality, consist s. > All con is Collected, Modele ed > Each in rkflows and collaboration tools to achieve efficient and effective communication when to propose or approve data initiatives, data enhancements or changes, or monitor against policies and standards 31 >

32 Guiding Principles Data Stewards are responsible for data quality assurance in the intere Data Ste oes Data Ste Data Ste ertise in the assigned Data Ste and technical ge Data Ste ntification of respon Data Gov ment not doing data management. Data Governance is the exercise of decision-making and authority for data-related matters 32 >

33 Responsibilities Data Steward Continues focus on data quality improvement throughout the data life Create aw d commun Commun ndards Guide da ent and publicatio Prioritize oval Monitor d Act as ch ves Act as lia s s g p t c t ct su j ct area needs and issues to respective business area(s) Ensure appropriate data access and use, according to corporate privacy and information security policy 33 >

34 Best Practices in use Today Data is acknowledged as a corporate asset Data is m mizing the potential the enter Commitm evel Data Gov s from Business Data Ste For Data for data should be unctions and LOB Responsibility for the quality of the data is assigned to those who create it. 34 >

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36 Road Ahead Start your Data Governance and Stewardship Program It s never too late (or too early) Commit or that s job num Teradat with our Dat 1. With o ent and Strate ing your value frame 2. Using entation Service, Teradata can help you design, implement and deploy the right Data Governance and Stewardship structure for you. 36 >

37 Benefits of Data Governance and Stewardship Effective Data Management processes > Reduce > Define > Build r > Reduce Alignmen > Ensure > Create > Mainta > Enable > Protec Efficient Data Management processes > Achieve clarity and transparency of processes > Establish accountabilities and coordination of efforts tives 37 >

38 Why Teradata? Teradata understands the nature of enterprise data within the business Teradata world wit our core c Only Tera g the entire Ent Teradata the Enter Teradata nt requirements evolve, so does Data Governance and Stewardship uses in the age data is ect with 38 >

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