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- 3. The Digital Disruption(Revolution) Has Already Happened • World’s largest taxi company owns no taxis (Uber) • Largest accomadation provider owns no real estate (Airbnb) • Largest phone companies own no telco infra (Skype, WeChat) • Worlds most valuable retailer has no inventory (Alibaba) • Most popular media owner creates no content (Facebook) • Fastest growning banks have no actual money (SocietyOne) • Worlds largest movie house owns no cinemas (Netflix) • Largest software vendors don’t write the apps (Apple & Google) • MORE TO COME! IT ISN’T OVER YET! • 3d printing saved RAF over 1.2 million pounds!
- 4. • Topics include: – What is the best way to understand and document Master Data Management, Data Governance, Privacy and Security? – How does Master Data Management, Data Governance, Security and Privacy relate? – Where can we make a difference? – Who are the people that make up these roles currently in your organization? – When do we start relating (integrating) this information? – Why should an Enterprise try to relate Master Data Management, Data Governance, Privacy and Security? “Building in Privacy, Security and Master Data Management and Data Governance from the beginning"
- 5. • Historically these activities have been seen as “enabling” the mission or business • While that is true the current acquisition/implementation (contract) process is fractured, so it becomes less of an enterprise solution and more of a local solution (supporting a specific program or activity) • The result? No cohesive, integrated or holistic solution. This hinders change, adaptation and evolution and effects mission or business performance “Building in Privacy, Security and Master Data Management and Data Governance from the beginning"
- 6. • “Data is a constant state of flux” • “Decisions are only as good as the information upon which they are based” • Information is processed Data • Master Data Management is the act of Data Processed in a manner that makes information that is reliable, relevant, usable and then sharable • “You either govern your Data or your Data will govern you” ‐ ORS “DATA”
- 7. Data Quality Challenges • Data Proliferation (servers, labtops, systems…) • Data Completeness (pieces of …) • Data Redundancy (Duplication) (repeated) etc.. • Data Obsolescence (Old, Unused or Obsolete) • Data Anarchy (Absence of Management or Governance)
- 8. The Four Noble Truths of Data Governance • That there is suffering • That suffering has a cause • That there is a cessation of suffering • There is a path to such freedom
- 10. Data, Big Data The Hope – An Organized Data Attic The Reality – The Data Hoarder
- 12. Forbes Report • A Forbes report on the 2012/2013 NewVantage Partners big data survey, of Fortune 1000 companies, shows that over 68% of respondents are investing more than 1 million dollars in big data this year, while 91% of C‐suite executives polled indicated that a big data initiative was either planned, or in progress. • By contrast, the 2012/2013 Steria survey of 650 participants shows that only 7% of European companies rate big data as “very relevant” to their business. • Where the US companies are seeing significant value, predominantly in the area of advanced analytics, European companies are struggling to get past the challenges associated with poor data quality. • Data governance has not been a focus for European firms, with 70% identifying a lack of data governance and BI strategy as key contributor to poor quality data. • [Poor] Data quality and the lack of an enterprise view are cited as significant barriers to big data entry.
- 13. 2015 Trends (from ZDNet) • More Magic • Datafication • Multipolar Analytics • Fluid Analysis • Community • Analytic Ecosystems • Data Privacy 2015 will be a wonderful year for analytics, just like it has been for the last quarter‐century‐‐as long as we remember that great power brings great responsibility, and that we must also strive to adapt our information culture and processes.
- 14. 2016 Trends (Global Big Data Conference – Innovation Enterprise) • Quantum Computing to Grow • AI and Machine Learning • Improved Security Scrutiny • Big Data to become Small [Data] • Analytics To Be Simplified and Outsourced • Data in the Hands of the Masses
- 15. “Building in Privacy, Security and Master Data Management and Data Governance from the beginning" • Privacy • Security • Master Data Management • Data Governance
- 16. What is Privacy? Private ‐ yes But not necessarily Secure Physically Private – but not audible or olfactory private
- 18. What is Master Data Management? • Definition – “Master Data Management is the act of Data Processed in a manner that makes information that is reliable, relevant, usable and then sharable” • Issues • Solutions • Transmission of Master Data
- 19. What is Data Governance? • Definition • Overview • Data Knowledge Drivers • Data Governance Initiatives • Implementation • Data Governance Tools • Data Governance Organizations • Data Governance Conferences
- 20. Data Governance ‐ Definition • Data Management International (DAMA, www.dama.org), a nonprofit organization for data management professionals, defines data governance as follows: – The exercise of authority and control over the management of data assets. It is the planning, supervision and control over data management and use.
- 21. Data Governance ‐ Overview • DAMA’s guide to the data management body of knowledge identifies the following core data management functions that are overseen by EDG: – Data Security management (which comprises data security and privacy, as well as related regulatory compliance requirements) – Data Architecture management – Data Base Operations management – Master Data and Meta Data management – Data Quality management – Data Warehousing and Business Intelligence management – Data Development – Document and Content management
- 22. What is the best way to understand and document the Enterprise? Gartner • proactively and holistically leading enterprise responses to disruptive forces by identifying and analyzing the execution of change toward desired business vision and outcomes. Deliver value by presenting business and IT leaders with signature‐ready recommendations for adjusting policies and projects to achieve target business outcomes that capitalize on relevant business disruptions. Zachman International • set of descriptive representations relevant for describing a complex object (actually, any object) such that an instance of the object can be created and such that the descriptive representations serve as the baseline for changing an object instance (assuming that the descriptive representations are maintained consistent with the instantiation).
- 25. Are they Technical Issues? Or are they Business Issues? Are they Cultural Issues? • They have technical “tools” – but are they the solution? – With tools comes training, governance, cost • Why does the technical team become “in charge”? – Usually the first to notice – Usually they have the skillset to help define the problem
- 26. Biggest Challenge your organization faces for adopting and implementing data governance? • Obtaining Executive Support • Overcoming Organizational Culture • Inability to make a business Case • Lack of communication among teams • Lack of technology and tools • Inconsistent data definitions / terminology • Identifying value or quality of data • Other barriers /I don’t know • 12.7% • 35.2% • 9.9% • 8.5% • 2.8% • 14.1% • 8.5% • 8.5% • Trillium Software – Best Practices for Data Governance and Data Quality Tools. Herald Smith – Director of Product Management Trillium Software • Best Practices becomes a “Framework”
- 27. What are the Common Obstacles? • The number one obstacle is: Politics, Culture – _______ participants not understanding the organization’s political and management culture – Not a clear vision for _________ • No one person or group is responsible for the enterprise ________. Therefore no one is accountable • Costs too much takes too long to do _________ • Perception: _____ office not presenting problems and issues in a way that highlights the value of addressing them and provides a clear win for the participants • Too little support or understanding of _________
- 28. • If these are “Business Issues” why does the IT department own the solution? • Business Culture, IT Culture both may have to change • They can’t own the solution, but they can help, assist and facilitate. In the end it has to be a Business Administrators Decision (CIO, CDO, CFO or someone else will make the decision) Are they Technical Issues? Or are they Business Issues? Are they Cultural Issues?
- 29. How do we start? • No one does “_________” for the sake of “___________” – Privacy – Security – Master Data Management – Data Governance – Enterprise Architecture
- 30. How do we start? • Each is done with sound Business Analysis, Executive Sponsor and owner • Vision, a purpose, a strategy – Business Process Analysis – Risk Assessment – Compliance – And others in the “context” of the business or organization NOTE: just like data without context can lead to a data cesspool or data swamp a program without context will have its own challenges.
- 31. Where can we make a difference? • Every aspect of the business can “reap” the benefits • Sometimes a business is driven by “tactical forces” aka by responding to fires • Designing and Implementing a “strategy” is not simple or easy, but it is straightforward. – Aligning it to business plans is critical
- 32. Who are the people involved? • Executive Sponsors – the people who care about the “capability” ‐ see notes – note measurable • Everyone in the enterprise that has to “touch” the data (everyone) Customers, Vendors benefit from a better program • The people involved in a specific working group are the ones that are vested with the problem or challenge – solve problems with the people most directly affected
- 33. When do we start to relate these issues / challenges? • The sooner the better – Getting in on the ground floor while an solution (whether Developed, COTS or Open Source) is being considered is paramount to successful program implementation – Implementation and Maintenance are two different animals – Highlighting the benefits of addressing these challeges for executive sponsors IN THEIR TERMS, solve problems
- 34. Why should we care? – The motivation • Reduce overhead • Lower costs • Reduce time to market • Increase revenue • Improve analytics • Reduce risk • Maintain compliance • Protect your business • Increase ROI • Increase User / Application Acceptance
- 35. • Topics include: – What is the best way to understand and document Master Data Management, Data Governance, Privacy and Security? – How does Master Data Management, Data Governance, Security and Privacy relate? – Where can we make a difference? – Who are the people that make up these roles currently in your organization? – When do we start relating (integrating) this information? – Why should an Enterprise try to relate Master Data Management, Data Governance, Privacy and Security? “Building in Privacy, Security and Master Data Management and Data Governance from the beginning"
- 37. • Analytics and Data Management (Master Data Management, Data Governance) • Apps Services and Program Excellence • Business Process Services • Enterprise Security (Privacy and Security) • Industry Solutions • Mobility and Workplace Solutions • Workload and Cloud Solutions
- 38. Thank You • www.hpe.com • Orest Roman Swystun • orest.swystun@hpe.com • office phone 703 456 2424
- 39. Enterprise Security • Advanced Threat Protection from HPE and FireEye – Advanced Compromise Assessment from HPE and Mandiant, a FireEye Company – Global Incident Response from HPE and Mandiant, a FireEye Company – Managed Advanced Threat Protection Services from HPE and FireEye Practice certified: bronze • Identity and Access Management Services – Identity and Access Management Services Practice certified: silver • Identity Governance and Administration Services Practice certified: bronze • Privileged Account Management Service Practice certified: bronze • Managed Security Services – Data Loss Prevention Services Practice certified: bronze – Distributed Denial of Service (DDoS) Protection Services Practice certified: silver – Managed Endpoint Security Services Practice certified: bronze – Managed Network Security Services Practice certified: bronze – Vulnerability Management Services Practice certified: silver • Security Consulting – Data Protection and Privacy Consulting Services Practice certified: silver – Infrastructure and Network Security Consulting Services Practice certified: silver – Security Intelligence and Incident Response Consulting Services Practice certified: silver • Cyber Situational Awareness and Defense (CSAD) Services Practice certified: bronze – Security Strategy and Risk Management Consulting Services Practice certified: bronze – Threat and Vulnerability Management Consulting Services Practice certified: bronze • Threat Defense Services – Managed SIEM Service Practice certified: bronze – Security Alerting Services – Security Monitoring Services
- 40. Analytics and Data Management • Advisory Services – Business Intelligence Modernization Strategy and Planning Services Practice certified: bronze – Business Intelligence Modernization Workshop Services Practice certified: bronze • Analytic Solutions – Analytic Consulting Services Practice certified: bronze – Customer Analytic Services Practice certified: gold – Foresight Situational Awareness Solution Practice certified: bronze – Interactive Media Command Center (IMCC) Solution Practice certified: gold • Business Intelligence Modernization Services – Business Intelligence Modernization Services Practice certified: silver • Consumption‐based Platform Services – As a Service Solution for Hadoop Practice certified: bronze – Haven As a Service Practice certified: silver – Vertica As a Service Practice certified: bronze • Data Discovery Services – Big Data Discovery Experience Services Practice certified: silver – Data Discovery Environment Implementation Services • Hybrid Data Management Services – Analytics Workload Optimization with Vertica Practice certified: gold – Hybrid Data Management Architecture Services • Information Governance Services – Archiving Services Practice certified: bronze – Classification Services – Portals and Collaboration Services – Records Management As a Service Practice certified: bronze – Records Management Services Practice certified: bronze • Integration and Implementation Services – Content Management Services – Enterprise Data Warehousing Services – Master Data Management Services • Managed Services – Managed Analytic Services Practice certified: bronze
- 44. Hewlett Packard Enterprise Master Information Governance Model • Archiving Services • Classification Services • Portals and Collaboration Services • Records Management as a Service • Records Management Services