AWC Career Bootcamp- August 21, 2013

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This is a presentation on Careers in Data Management was given at the AWC Career Bootcamp.

Transcript of AWC Career Bootcamp- August 21, 2013

  • 1. Careers in Data Management 101 AWC Career Bootcamp Seattle, WA August 21, 2103 Patricia A Gilson Principal PAG Systems, LLC 8/21/2013 1

2. Careers in Data Management 101 Disclaimer of Following Material This is a very high overview of the different careers in data management. In no way is the material contained here exhaustive but rather it is meant just to be an overview of the different roles in data management. 8/21/2013 2 3. Careers in Data Management 101 Agenda and Talking Points What is Data Management? An Overview of Data What are Data Management Subject Areas? What are Data Management Roles? What Careers are in Data Managements? How to Can I Get a Career Data Management? How Can DAMA Puget Sound Chapter Help Me in My Career Goals? 8/21/2013 3 4. Careers in Data Management 101 Who Am I? PatriciaAGilson Principal at PAG Systems, LLC o A Technology-Based Company in Business and Enterprise Architecture VP of Marketing of DAMA-PS Chapter, DAMA International o An association of Data Management Professionals and Practitioners Member of Advisory Board for UW BI Certification o Continuing Education Program in Business Intelligence decision-making.html 8/21/2013 4 5. Careers in Data Management 101 Data Management Is: According to the definition provided in the DAMA Data Management Body of Knowledge (DAMA-DMBOK) is: "Data management is the development, execution and supervision of plans, policies, programs and practices that control, protect, deliver and enhance the value of data and information assets. 8/21/2013 5 6. Careers in Data Management 101 Data is Everywhere It is created with every purchase or transaction by a consumer. It is created every time someone surfs the web, opens a new account with a bank or utility company. It is created by your employer or your school. 8/21/2013 6 7. Careers in Data Management 101 Data is Collected and Regulated for Security Companies Clothes Grocery Telecommunications Car Agencies Government Institutions Educational 8/21/2013 7 8. Careers in Data Management 101 What is Done with Collected Data Retail companies use it to determine consumer habits and forecast future sales Companies use it to study past sales and/or existing sales Companies use it to gathering information on specific groups Customer Service departments use it for better service Companies use it to determine which age groups to target or what to type of marketing campaigns to create The Government collects data from the census and tabulates it to see measure population growth Car insurance companies use the number of accidents by each age group to determine risks and how much to charge them Hospitals collect data to see how they are performing with infection rates or performance rates 8/21/2013 8 9. Careers in Data Management 101 This Data is Collected in Databases First its stored in Transactional Databases Then its moved to Data Warehouses and Operational Data Stores Then its reported on for marketing, trending and sales forecasting 8/21/2013 9 10. Careers in Data Management 101 Subject Areas of Data Operational Databases Data Warehouses Database Administration Data Governance Information Security Data Quality Master Data Management Reference Management Metadata Management Data Integration Data Virtualization Data Analysis 8/21/2013 10 11. Careers in Data Management 101 Operational Databases Operational databases allow a business to enter, gather, and retrieve large quantities of specific information, such as training status, personal employee information, sales, customer complaints, and previous proposal information. Storing information in a centralized area can increase retrieval time for users. An important feature of storing information in an operational database is the ability to share information across the company. Operational databases can be used to monitor activities, to audit suspicious transactions, or to review the history of dealings with a particular customer. They can also be part of the actual process of making and fulfilling a purchase, for example in e-commerce. 8/21/2013 11 12. Careers in Data Management 101 Data Warehouses A Data Warehouse (DW, DWH, or EDW) is a central repository that is created by integrating data from one or more disparate sources. They store current as well as historical data and are used for creating trending reports for various department reporting such as annual and quarterly comparisons. The typical DW uses staging, data integration, and access layers to house its key functions. The staging layer or staging database stores raw data extracted from each of the disparate source data systems. The integration layer integrates the disparate data sets by transforming the data from the staging layer often storing this transformed data in an operational data store (ODS) database. The integrated data are then moved to yet another database, often called the data warehouse database, where the data is arranged into hierarchical groups often called dimensions and into facts and aggregate facts. The combination of facts and dimensions is sometimes called a star schema. The access layer helps users retrieve data. 8/21/2013 12 13. Careers in Data Management 101 Database Administration Databases hold valuable and mission-critical data. Database administration is the function of managing and maintaining database management systems (DBMS) software and hardware. Database administration work, usually performed by DBAs, is complex, repetitive, time- consuming and requires maintenance 24/7 to keep systems running and current. 8/21/2013 13 14. Careers in Data Management 101 Data Governance Data governance is a set of processes that ensures that important data assets are formally managed throughout the enterprise. Data governance ensures that data can be trusted and that people can be made accountable for any adverse event that happens because of low data quality. 8/21/2013 14 15. Careers in Data Management 101 Information Security Information security concerns the use of a broad range of controls to protect the databases against data corruption and/or loss caused by the entry of invalid data or commands, mistakes in database or system administration processes, and sabotage/criminal damage. The security protections encompasses the data, the applications or stored functions, the DBMS, the servers and the associated network links. It also protects against compromises of confidentiality, integrity, and availability, and involves various types or categories of controls, such as technical, procedural/administrative and physical. 8/21/2013 15 16. Careers in Data Management 101 Data Quality Quality of data in general is crucial to decision-making and planning, as well as needed for valid business processes. Data is deemed high quality if it correctly represents the real-world construct to which they refer. As data volume increases, the question of internal consistency within data becomes paramount, regardless of fitness for use for any external purpose. The aim of building a data warehouse is to have an integrated, single source of data that can be used to make business decisions. Since the data is usually sourced from a number of disparate systems, it is important to ensure that the data is standardized and cleansed before loading into the data warehouse. 8/21/2013 16 17. Careers in Data Management 101 Master Data Management Master Data Management (MDM) strategies ensure that an organization does not use multiple and potentially inconsistent, versions of the same data in different parts of its operations. With MDM, the process of record linkage is used to associate different records that correspond to the same entity. It also addresses issues with data quality, consistent classification and identification of data, and data-reconciliation issues. The MDM hub, where the single source of data is stored is used to synchronize the disparate source master data, the managed master data extracted from the master data management hub is again transformed and loaded into the disparate source data system as the master data is updated. 8/21/2013 17 18. Careers in Data Management 101 ReferenceData Management Reference Data is data from outside the organization (often from standards organizations) which is, apart from occasional revisions, static. This non-dynamic data is sometimes also known as "standing data because it changes so slowly. Examples would be zip codes, country names and other data that defines the master data. Management of this data is essential to keep data current and correct. 8/21/2013 18 19. Careers in Data Management 101 Metadata Management Metadata Management can be defined as the end-to- end process and governance framework for creating, controlling, enhancing, attributing, defining and managing a metadata schema, model or other structured aggregation system, either independently or within a repository and the associated supporting processes which is used often to enable the management of content. For web-based systems, URLs, images, video etc. may be referenced from a triples table of object, attribute and value. 8/21/2013 19 20. Careers in Data Management 101 Data Integration Data Integration is the process that involves combining data residing in different sources and providing users with a unified view of these data. This process becomes significant in a variety of situations, which include both commercial (when two simil