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Similar a Pythian Webinar ft Forrester - From Data to Insight: Trends in Data Management
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Pythian Webinar ft Forrester - From Data to Insight: Trends in Data Management
- 1. From Data to Insight: Trends in Data Management Gene Leganza VP and Principal Analyst
- 2. © 2013 Forrester Research, Inc. Reproduction Prohibited 2 Agenda › Improving data capabilities a key priority for 2014 › Organizations ramp up data services spend › Best practices for engaging service providers › Recommendations
- 3. © 2013 Forrester Research, Inc. Reproduction Prohibited 1% 2% 7% 8% 12% 16% 21% 21% 22% 26% 28% 29% 32% 46% None of the above; the amount of data we store is not increasing Other We have embraced new 'Big Data' techniques that create and use more data We have increased website data collection and analytics We have increased PC backups The retention period for key business data or backups has lengthened We just don't want to throw anything away We haven't defined a data retention strategy, so we just save everything We have increased use of audio and video data We are generating more data warehousing, reports, and analytics on existing business data We have increased our replication and disaster recovery capabilities Regulatory compliance and auditing requirements require us to keep more data than before We are capturing more data per business activity than before Business is growing, so there's more data generated by existing systems Base: 1281 IT Decision-makers Source: ―Forrsights Hardware Survey, Q3 2012 (9-5-2012)‖ Why is the amount of data stored by your firm increasing? Please select the top three reasons. We are digitizing everything
- 4. © 2013 Forrester Research, Inc. Reproduction Prohibited 4 Data sources continue to multiply
- 5. But information architecture is a comparatively immature EA domain! 24% 33% 39% 37% 42% 37% 34% 8% 11% 14% 17% 23% 23% 38% 1% 1% 4% 2% 4% 6% 5% Business architecture Information architecture Integration architecture Application portfolio management Application architecture Security architecture Infrastructure architecture We have implemented a moderate amount compared to what we really need We have implemented a very large percentage of what we really need We have implemented nearly all of what we will need What is the current state of the following parts of the EA program? Base: 166 IT professionals Q3 2013 Global State Of Enterprise Architecture Online Survey
- 6. © 2013 Forrester Research, Inc. Reproduction Prohibited Base: 113 IT professionals Q2 2013 Global Information Strategy And Architecture Online Survey And data management tasks are distributed across the organization
- 7. © 2013 Forrester Research, Inc. Reproduction Prohibited Base: 113 IT professionals Q2 2013 Global Information Strategy And Architecture Online Survey Data management tasks are distributed across the organization, continued
- 8. © 2013 Forrester Research, Inc. Reproduction Prohibited 8 Organizations ramp up data services spend
- 9. © 2013 Forrester Research, Inc. Reproduction Prohibited 9 Companies face data challenges › New technologies challenge existing resources › Highly skilled and experienced resources are expensive and tough to find › New sources of data mean existing infrastructures are inadequate › Companies lack maturity in managing and analyzing data
- 10. © 2013 Forrester Research, Inc. Reproduction Prohibited Data services encompass the whole lifecycle Present data in the form of reports, portals, dashboards, an d visualization tools Explore, model, and analyze data Find, collect, migrate, and integrate data as well as develop infrastructure to support data management operations Encapsulates the above three elements Source: October 30, 2013, ―Market Overview: Data Services‖ Forrester report
- 11. © 2013 Forrester Research, Inc. Reproduction Prohibited Effective data governance encapsulates everything Source: October 30, 2013, ―Market Overview: Data Services‖ Forrester report
- 12. © 2013 Forrester Research, Inc. Reproduction Prohibited Organizations ramp up data management services spend in 2014
- 13. © 2013 Forrester Research, Inc. Reproduction Prohibited Lowering costs is not the key reason organizations look to third parties
- 14. © 2013 Forrester Research, Inc. Reproduction Prohibited Organizations use third parties for variety of services
- 15. © 2013 Forrester Research, Inc. Reproduction Prohibited Thinking of your third party system integrator/consultant resources, which of the following best describes your sourcing strategy? 15 Base: 132 Data management professionals Few organizations use solely offshore resources, regardless of the service 44% 50% 38% 39% 16% 15% 24% 13% 36% 32% 34% 43% 4% 4% 4% 4% Planning for data management solutions(N=89) Designing data management solutions(N=101) Building of data management solutions(N=112) Running of data management solutions and associated infrastructure(N=99) All third party resources are on- shore All third party resources are off-shore Third party resources are both on and off shore Don't know
- 16. © 2013 Forrester Research, Inc. Reproduction Prohibited 16 Best practices when working with service providers
- 17. © 2013 Forrester Research, Inc. Reproduction Prohibited Most organizations use a combination of in-house and third-party resources
- 18. © 2013 Forrester Research, Inc. Reproduction Prohibited Importance of industry expertise varies
- 19. © 2013 Forrester Research, Inc. Reproduction Prohibited Companies look to multiple providers
- 20. © 2013 Forrester Research, Inc. Reproduction Prohibited Use of multiple providers is often the result of specific policies in place 4% 39% 57% Don't know Yes No 20 Does your firm have a policy that prohibits your awarding implementation contracts to the same firm that provided your strategy, planning, or design services? Base: 135 Data management professionals
- 21. © 2013 Forrester Research, Inc. Reproduction Prohibited Interviewees were split – and passionate – about their approach to the single versus multiple provider issue Practice Key quotes Best practice to source each aspect of DM to best provider available for each types of service • ―Ensures that we are focused on having the most highly skilled resources on the job. It may require more planning and coordination, but it ensures that nothing is missed and lowers implementation risk‖ • ―We do not want to have all data handled by one provider due to risk of security‖ Best to source some combinations to the same provider • ―Reduced cost‖ • ―Better communication‖ • ―It helps us develop synergies with fewer companies‖ • ―You can’t have one party integrate data and another analyze it – that makes no sense.‖ Best to source all the services to a single provider • ―Less hassle to chase provider down if something goes wrong‖ • ―Standardizing procedures‖ • ―Keeps all systems together‖ 21 Which of the following do you feel is a best practice regarding sourcing third party system integrators/consultants for data management services?
- 22. © 2013 Forrester Research, Inc. Reproduction Prohibited 22 Recommendations › Develop a vision to guide preparations for the long haul • Look to service providers with experience in data services and big data engagements › Start small, experiment, and further develop your relationships with key vendors • ―Think big, act small — take it one step at a time. Brainstorm, but take things in small steps. If you take on 25 projects at once you're wasting your time." (North American financial services company) › Be open to working with providers for strategic capabilities • But make sure you have effective knowledge management processes in place
- 23. © 2013 Forrester Research, Inc. Reproduction Prohibited 23 Selected Forrester research › February 6, 2014, ―Data Management Services: Spending Trends For 2014‖ › February 6, 2014, ―Best Practices For Engaging Data Service Providers‖ › December 9, 2013, ―Upgrade Your Data Capabilities Rapidly With Data Services Providers‖ › October 30, 2013, ―Market Overview: Data Services‖
- 25. Pythian – Love Your Data
- 26. DATA MANAGEMENT CHALLENGES © 2014 Pythian Confidential26 Data Management Increase Performance Optimize Infrastructure Improve Service Quality Drive Innovation Reduce and Contain Costs Find Expertise Manage New + Complex Technologies Support Data Analytics Accommodate New Data Sources Expectations Challenges
- 27. DELIVERING ON EXPECTATIONS © 2014 Pythian Confidential27 Optimize Infrastructure Improve Performance Deliver BI Innovate Customer-centric Enterprise IT downtime costs $26.5 billion in lost revenue Amazon.com increased its revenue by 1% for every 100 milliseconds of load time improvement Guide business decisions Big data to drive insight and innovation
- 28. TURNING CHALLENGES INTO OPPORTUNITITES © 2014 Pythian Confidential28 Reduce Costs New technologies + Expert talent = Less downtime Faster time to market Complex Technologies New technology drives advantage Out data your competition New Data Sources Build flexible environment Get insight Drive innovation Improve customer experience Finding Talent FTE vs Outsource Average vs. Exceptional
- 29. OUR SERVICES © 2014 Pythian Confidential29 Managed Services Consulting Services Products Database Management Big Data Privileged Access Management Enterprise Infrastructure Management Cloud Remote Monitoring Application Management Performance Optimization Reporting Big Data Management Resiliency Planning Data Infrastructure Planning, Architecture and Design OUR PRODUCTS AND SERVICES
- 30. PYTHIAN DIFFERENCE Flexible ContractsUnparalleled Expertise Anytime Access Employer of Choice Complete Transparency Advanced Security © 2014 Pythian Confidential
- 31. NEXT STEPS? © 2014Pythian Confidential Receive literature Speak with a technical expert Talk to a client www.pythian.com
- 32. THANK YOU www.pythian.com Samer Forzley, VP of Marketing forzley@pythian.com © 2013 Pythian Confidential
Notas del editor
- Abstract Industry pundits of all stripes are proclaiming the central role of data in the emerging digitally-disrupted world. But to get visualization, predictive analytics, and data-driven business insights you first need data management – lots of data management. Yet Forrester’s research shows that most organizations are not in a position to take advantage of either their own information assets or the rich world of external data that is available in today’s data economy. The research also shows that firms are increasingly turning to data management service providers to acquire the data capabilities they need to address mounting business demand. This webinar presents Forrester’s research on why businesses are turning to data management service providers, what services they are looking for, and how they are managing these engagements.
- Chart of Q@STOR2
- How much of your budget is spent just keeping the lights on? If you’re like most mid-market enterprises, the answer is appx. 90%, which doesn’t leave much time or money for anything else.But how many of you are also expected to ensure your infrastructure is always available, that it can grow without limits as demand increases, that it’s agile enough to support new business initiatives, especially when it comes to data.Everyone has heard about big data, enterprises need data analytics for competitive advantage, customers want to order products online, see your inventory, track their shipments, suppliers do too—it’s all data.Data helps companies:Improve decision-makingIdentify new opportunitiesFine-tune productsImprove their competitive advantageBut how many of you today have the infrastructure and skills in-house to manage your data? Again if you’re like most of your peers, you don’t. Most companies struggle to use their data. In fact, of all the data generated most companies only use around 12%Because:Their data infrastructure cannot handle the sheer volume of dataAs a result:Enterprises struggle to maintain service levels, performance, and availability is compromised. Scalability becomes a primary concern. And innovation becomes impossible.Smart companies are rightsourcing.
- We do this two ways: Managed Services and ConsultingManaged Services:A well-managed and secure data environment allows enterprises to easily integrate, retrieve, and analyze data when it’s needed. The results are faster, better quality services, increased responsiveness, and reduced costs, all of which leave more time for innovation. But achieving this level of optimization is not a one-time effort. It requires ongoing and continuous improvement—something Pythian’s data experts thrive on. With Pythian, you gain access to elite teams of database, application, and enterprise infrastructure consultants who are some of the most respected talent in the industry. Your dedicated team can manage your entire data infrastructure or fill gaps in your in-house team, whatever you need. Either way, your team is available any time you need them, ensuring continuity of work and a consistent knowledge of your operating environment. Consulting:To truly transform your business, you need to be remarkable. To be remarkable, you need to exceed expectations, not just meet them. This means abandoning the way you traditionally approach problems with new, innovative thinking. That’s where we excel. Our extensive experience enables us to bring fresh perspectives and unique insights to any data project. Whether it is architecting your big data platform, performing data migrations and integrations, or creating your cloud environment, you can count on Pythian. Our teams possess the right mix of functional skills, technical expertise, and business experience to help you plan and deploy projects that don’t simply support business initiatives, but make them possible.Products: