Achieve business agility through data virtualization
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The document discusses achieving business agility through data virtualization, highlighting the need for organizations to adapt to competitive and regulatory changes while utilizing advanced technology. It emphasizes the role of data as a vital resource, advocating for a flexible information infrastructure that can handle increasing data demands and streamline decision-making processes. Data virtualization is presented as a key technology that integrates disparate data sources and enables efficient access and manipulation, ultimately supporting agile business operations.
Achieve business agility through data virtualization
- 1. Achieve business agility through data virtualization Dr. Bas van Gils
- 2. Bas van Gils +31-(0)6-484 320 88 b.vangils@bizzdesign.nl http://linkedin.com/in/basvg http://blog.bizzdesign.com http://www.twitter.com/basvg “Life is and will ever remain an equation incapable of solution, but it contains certain known factors.” --Nikola Tesla (1935) 2
- 3. Competitive playing field Socio-Cultural Drivers (e.g. changing health needs, environmental awareness, consumption habits) Suppliers (e.g. innovative products, new foreign entrants, consolidation) Economic Drivers (e.g. changing exchange rates, economic growth, labor productivity) Incumbent Rivals Substitutes & Complementors (e.g. improved competences, new products, new brand positioning) New Entrants (e.g. new business model, diversification strategy, new alliance) (e.g. changed product range, new technological standard) Political/ Regulatory Drivers Buyers Technological Drivers (e.g. new trade regulations, environmental protection laws, privatization moves) (e.g. changed needs, increased price sensitivity, lower brand loyalty (e.g. new scientific breakthroughs, innovative technologies, standards)
- 4. Business agility Business agility is mandatory in the competitive arena • Respond to ever changing demands by (potential) customers • Respond to aggressive moves by competitors • Adapt to changing regulations • Utilize advanced technological developments All in order to stay alive and thrive in the long run
- 5. Organizing for agility Agility in the market place Every organization is different. As a consequence, there is no single “best” recipe that helps organizations organize for agility • • Operating model: • Process focus • Data is forever, systems are temporary Architecture: • Long-term view • Incremental delivery Process integration Agility of the organization Process standardization
- 6. Focus on Data The 21st century business features information as the fuel. We don’t replace process; we enable operators in existing processes. The bottom line is: if information is fuel – then improper treatment is risky. Fuel can be volatile. Fuel can explode Ladley, J. (2010). Making enterprise information management (EIM) work for business: A guide to understanding information as an asset. Morgan Kaufmann. 6
- 7. Data challenges Paradox: • Organizations face the challenge of information overflow: the amount of information available is too big to process • Delivery of information is slow due to tight coupling between information systems and data A more agile infrastructure for information delivery is required to face the challenges that come with increased data-based decision making
- 8. Data virtualization “Data virtualization is a technology that makes a heterogeneous set of databases and files look like one integrated database.” • • • Increasingly popular, with the expectation that it continues to grow in popularity Many different implementations by various vendors Important enabling technology for e.g. MDM, Data Warehousing, DQ improvement etc.
- 9. Using data virtualization Delivery in environments tuned for specific groups of stakeholders, also allowing for access control etc. Business-focused data structures based on virtual tables: standardization of concepts, definitions & delivery in a format that makes business sense (e.g. dimensional structures) Virtualized (& potentially cached) representation of source data as enabler for restructuring, as well as prevent heavy workload for source systems Source data in transaction systems, unstructured data, etc.
- 10. Using data virtualization Virtualization allows for rapid, incremental development & delivery of information with minimal impact on source systems Data access can be optimized for various stakeholders with different needs, concept definitions, permissions etc. Virtualized access to structured and unstructured data allows for uniform querying. Caching avoids heavy work-loads on the original transaction systems Decouple access to data from the source systems. This allows further manipulation of data without impacting the original systems
- 11. An architecture for agile information delivery
- 12. Key takeaway: data agility for success • Focus on supporting business processes • Data is forever, systems are temporary • Data virtualization allows for decoupling between – source systems, – data manipulation / structuring, – data delivery that is tuned to business needs
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