Enabling a Culture of Self-Service Analytics
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The document discusses the growing importance of data in organizations and the need for a culture that embraces self-service analytics. It highlights various challenges organizations face in utilizing data and analytics, including barriers such as lack of algorithms and skilled resources. Additionally, it emphasizes the necessity for investment in data governance and quality to enable effective data-driven decision-making.
Enabling a Culture of Self-Service Analytics
- 1. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. Enabling a Culture of Self-Service Analytics Matt Aslett, 451 Research Jennifer Cheplick, Syncsort March 7, 2019
- 2. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. 2 Jennifer Cheplick Senior Director, Product Marketing Matt Aslett Research Vice President
- 3. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. Questions? Presentation Slides Feedback Housekeeping items Questions? A copy of the presentation will be provided to all attendees Presentation Slides Feedback To ask a question, click on the question button Don’t forget to leave feedback at the end of the webinar
- 4. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. 451 Research is a leading IT research & advisory company Founded in 2000 250+ employees, including over 120 analysts 1,000+ clients: Technology & service providers, corporate advisory, finance, professional services and IT decision-makers 2,000+ technology & service providers under coverage 451 Research and its sister company, Uptime Institute, are the two divisions of The 451 Group Headquartered in New York City, with offices in London, Boston, San Francisco, Washington DC, Austin, Mexico, Costa Rica, Brazil, Spain, UAE, Russia, Taiwan, Singapore and Malaysia
- 5. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. Becoming Data-Driven
- 6. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. Importance of Data Q. Looking ahead 12 months, do you think data will be more important to your organization, less important, or will there be no change 12 months from now?
- 7. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. Data Drivers Data Drifters
- 8. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved.
- 9. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved.Q19. What is your organization’s most significant barrier to using data platforms and analytics? 9 Different barriers to data and analytics Source: 451 Research, Voice of Enterprise: Data and Analytics 2018 30% 20% 10% 10% 20% 30% Lack of available algorithms Inability to utilize the analytics/results in our operational systems Hard to build and maintain Data security/governance concerns Not enough skilled resources Lack of support/involvement from senior leadership Accessing and preparing data Limited budget Data Drifters Data Drivers
- 10. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. Q4. Which of the following types of data does your organization analyze? 1 0 Need to synchronize and integrate Source: 451 Research, Voice of Enterprise: Data and Analytics 2018 60% 40% 20% 20% 40% 60% 80% Social data Location data IT infrastructure data External market data Environmental data Product data Equipment/facilities data Device data Sales data Marketing/advertising data Employee behavior data Customer behavior data Data Drifters Data Drivers
- 11. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. Q4. Which of the following types of data does your organization analyze? Q19. What is your organization’s most significant ba rrier to using data platforms and analytics? 1 1 More data, more problems The greater the number of data sources, the bigger data access and preparation headache Source: 451 Research, Voice of Enterprise: Data and Analytics 2018 3.9 4.6 5.2 20% 20% 29% 0% 5% 10% 15% 20% 25% 30% 0 1 2 3 4 5 6 Average Number of Data Inputs Accessing and Preparing Data as a Significant Barrier Data DriversData Drifters All respondents
- 12. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. The democratization of data and analytics
- 13. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. Data cathedral 13
- 14. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. Data bazaar 14
- 15. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. Organized agility 15
- 16. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. 16 Attribution: Share Alike Some rights reserved by Luigi Rosa Data quality and business rules
- 17. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. Copyright (C) 2018 451 Research LLC Agility and organizational change
- 18. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. Being data-driven is a team sport 18 Data Analyst Data Architect Database Admin Data Engineer Business Analysts IT Operations IT Architects Statistician Data Scientists Developers Data Operations Business Experts Senior Executives Chief Data/ Analytics Officer The C Suite
- 19. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. The CDO (and their team – clearly, they cannot work alone) must be empowered by the C-suite to drive change and deliver business value. A CDO needs to articulate the strategic vision to business users. However, equally important is to articulate the data and analytics needs of the business users to senior executives. Need to generate a culture that embraces data at the heart of the decision-making process and to embrace experimentation. Drive self-service analytics and data science innovation through agile development, and experimenting around new business ideas. Fail fast, with a level of autonomy from the IT department. But also work closely with the IT department to ensure a smooth transition as tactical projects move into production. The role of the CDO/CAO
- 20. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. Conclusions Data is being seen as increasingly important to almost all organizations. Those that don’t recognize the value of data and invest in it risk losing out to those who do. Attempting to become more data-driven is not without it’s challenges. It is necessary to invest in organizational and cultural change to generate a culture that embraces data at the heart of the decision-making process A solid investment in data governance and data quality enables democratization of self- service access to data for analysts and scientists while maintaining access controls for privacy, security, regulatory and data-quality reasons
- 21. Advancing Data Jennifer Cheplick Sr. Director, Product Marketing jcheplick@syncsort.com
- 22. Introducing Syncsort >7,000 customers 84 of the Fortune 100 Customers in >100 countries Headquarters: Pearl River, NY U . S . L O C A T I O N S • Burlington, MA; Irvine, CA; Oakbrook Terrace, IL; Rochester, MN G L O B A L P R E S E N C E • U.K., France, Germany, Netherlands, Israel, Hong Kong & Japan Big Iron to Big Data is a fast-growing market segment composed of solutions that optimize traditional data systems and deliver mission-critical data from these systems to next-generation analytic environments. 22 Global leader in Big Iron to Big Data
- 23. It distinguishes yesterday’s bellwethers from tomorrow’s disruptors Data is the bedrock on which businesses compete Data dictates the success or failure of companies based on how they own, access and analyze it to build new capabilities Data provides trusted insights that can produce better business results We believe that data makes the difference… 23
- 24. 24 Advancing data Cloud IoT & Streaming AI & Data Science Data Governance Mainframes and IBM i run the core transactional apps of most enterprises Mobile & online increasing transaction volumes and workload unpredictability Enterprises making major investments in Big Data platforms for new insights MUST solve for the present & prepare for the future Optimized access to legacy data reserves is required to achieve the benefits of new tech innovations! Control costs & improve performance of legacy systems to help fund new technology investments Increase security & governance of legacy data systems to prepare to take advantage of new innovations Combine legacy systems with new data sources to power unique business insights
- 25. 25 Advancing data Cloud IoT & Streaming AI & Data Science Data Governance Mainframes and IBM i run the core transactional apps of most enterprises Mobile & online increasing transaction volumes and workload unpredictability Enterprises making major investments in Big Data platforms for new insights MUST solve for the present & prepare for the future Optimized access to legacy data reserves is required to achieve the benefits of new tech innovations! Control costs & improve performance of legacy systems to help fund new technology investments Increase security & governance of legacy data systems to prepare to take advantage of new innovations Combine legacy systems with new data sources to power unique business insights
- 26. 26 Advancing data Cloud IoT & Streaming AI & Data Science Data Governance Mainframes and IBM i run the core transactional apps of most enterprises Mobile & online increasing transaction volumes and workload unpredictability Enterprises making major investments in Big Data platforms for new insights MUST solve for the present & prepare for the future Optimized access to legacy data reserves is required to achieve the benefits of new tech innovations! Control costs & improve performance of legacy systems to help fund new technology investments Increase security & governance of legacy data systems to prepare to take advantage of new innovations Combine legacy systems with new data sources to power unique business insights
- 27. 27 Advancing data Cloud IoT & Streaming AI & Data Science Data Governance Mainframes and IBM i run the core transactional apps of most enterprises Mobile & online increasing transaction volumes and workload unpredictability Enterprises making major investments in Big Data platforms for new insights MUST solve for the present & prepare for the future Optimized access to legacy data reserves is required to achieve the benefits of new tech innovations! Control costs & improve performance of legacy systems to help fund new technology investments Increase security & governance of legacy data systems to prepare to take advantage of new innovations Combine legacy systems with new data sources to power unique business insights
- 28. Support data governance and regulatory compliance initiatives Get visibility into critical operational and security data to quickly identify & resolve problems Ensure complete and trusted data with industry- leading data quality Access, transform & deliver data to analytics platforms – in real-time – on premise and in the cloud Syncsort Integrate Connect today’s data infrastructure with tomorrow’s technology – and ensure data quality – powering machine learning, AI and predictive analytics
- 30. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. Q & A
- 31. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. 451research.com US +1 212.505.3030 EUROPE +44 (0) 203 929 5700 Thank you @451Research New York London Boston Washington, D.C. San Francisco @maslett