Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Business intelligence through big data and cloud computing

All the content of this website is informative and non-commercial, does not imply a commitment to develop, launch or schedule delivery of any feature or functionality, should not rely on it in making decisions, incorporate or take it as a reference in a contract or academic matters. Likewise, the use, distribution and reproduction by any means, in whole or in part, without the authorization of the author and / or third-party copyright holders, as applicable, is prohibited.

  • Be the first to comment

Business intelligence through big data and cloud computing

  1. 1. Business Chair Business Intelligence through BigData and Cloud Computing
  2. 2. :: Agenda :: 1. Business Intelligence 2. Cloud Computing 3. Big Data & Analytics
  3. 3. Articles & Whitepapers
  4. 4. :: Agenda :: 1. Business Intelligence 2. Cloud Computing 3. Big Data & Analytics
  5. 5. Disruption is served at the table
  6. 6. Decision Time Frames are Compressed
  7. 7. Faster Delivery with More Value
  8. 8. https://www.youtube.com/watch?v=i35xfEGAu-I Technology Disruption in Banking 2020
  9. 9. Technologies, applications and practices for the collection, integration, analysis, and presentation of business information, to support better business decision making. Business Intelligence Systems (BIS) are data- driven Decision Support Systems (DSS). http://olap.com/learn-bi-olap/olap-bi-definitions/business-intelligence/
  10. 10. ¿Por qué?
  11. 11. ¿Para qué?
  12. 12. ¿Dónde?
  13. 13. Usuario / Cliente Entorno de TI Plataforma de TI Infraestructura de TI Transformación Digital Sortear el impacto de las tendencias digitales y la competencia en el negocio • Agotamiento • Estancamiento • Ictus exponencial Capacidad y Desempeño Construir la infraestructura necesaria para soportar el negocio actual y futuro • Internet y redes privadas • Servidores, aplicaciones y bases de datos • Recursos humanos asociados a TI Continuidad Operativa Garantizar la continuidad y recuperabilidad de las plataformas que soportan el negocio • Aplicaciones, sistemas y servicios críticos • Monitoreo & Visibilidad • Sitio principal y alterno Experiencia del Usuario Estudiar y evaluar la experiencia del usuario final a beneficio del negocio • Sensación & Motivación • Captación & Retención • Interacción (Canales) Optimización de Servicios Optimizar los modelos de finanzas, operación y servicio del negocio • Justificación CAPEX / OPEX • Tercerización & Alianzas • Regulatorio & Legal Negocio Digital Age Enterprise Needs Reinvención
  14. 14. Negocio Usuario / Cliente Entorno de TI Plataforma de TI Infraestructura de TI Digital Age TI Infrastructure Maturity Propiedad Arquitectura Servicio Propia Tercero Servidores Nube Privada / Publica Nube Hibrida IaaS PaaS PaaS IaaS PaaS SaaS IaaS Tiempo Incidentes y Problemas de Plataforma Incidentes y Problemas en Aplicaciones, Sistemas, Servicios, Usuarios Potenciar el Negocio Incidentes y Problemas de Infraestructura
  15. 15. Bussiness Analytics Negocio Usuario / Cliente Entorno de TI Plataforma de TI Infraestructura de TI Needs vs. Top Technologies Big Data Cloud Computing Data Center Reinvención Bussiness Inteligence
  16. 16. :: Agenda :: 1. Business Intelligence 2. Cloud Computing 3. Big Data & Analytics
  17. 17. Cloud Computing
  18. 18. https://www.youtube.com/watch?v=ae_DKNwK_ms Salesfoce’s What is The Cloud?
  19. 19. Computing Environments
  20. 20. Computing Enviroment Distributions
  21. 21. Cloud Computing Attractive
  22. 22. Cloud Service Providers (CSP)
  23. 23. Mega-Cloud Service Providers Titans
  24. 24. Exodo / Migración Digital a la Nube
  25. 25. Cloud Computing (Hybrid IT) On-Premises Off-Premises On-Premises Off-Premises
  26. 26. Cloud Services Models
  27. 27. Cloud Service Growing Portafolio
  28. 28. Cloud Service Complexity IaaS PaaS SaaS CloudArch DevOps SysOps High Value Low Value
  29. 29. Cloud Service Performance is Difuse
  30. 30. Cloud Service - Who is in Control?
  31. 31. Cloud Service Security?
  32. 32. Pros and Cons about Cloud Deployments
  33. 33. Cloud Service Pricing Models
  34. 34. Cloud Services Concerns 2014… …2018
  35. 35. Cloud Services Reality 2014… …2018
  36. 36. Cloud Services Issues  Lack of:  Business & Technical Strategy  Knowledge & Expertice  Time to Try & Learn The Cloud  Real Cloud Enabled & Native TI (Legacy)  Value Proposition Understanding  Multi-Cloud Connetivity & Integration  Cloud still has TI complexity (Hundred of New Features Every Year)  Missing Real Value Seeding & Harvesting! 2018… ¿Dónde están los humanos?
  37. 37. Cloud Service as a Strategy
  38. 38. Why Enterprises Migrates to the Cloud
  39. 39. Cloud Service as a Strategy
  40. 40. What Will Make You Success in the Cloud?
  41. 41. Cloud Service as a Strategy
  42. 42. Which Workloads Live in the Cloud?
  43. 43. Cloud Service as a Strategy
  44. 44. Key Signs of Successful Cloud Migrations
  45. 45. :: Agenda :: 1. Business Intelligence 2. Cloud Computing 3. Big Data & Analytics
  46. 46. Big Data & Analytics
  47. 47. IBM’s Digital Banking Intelligence https://www.youtube.com/watch?v=1RYKgj-QK4I
  48. 48. Rehearsal on Basics Information Theory
  49. 49. ANALYTICS
  50. 50. Communications Drive IoT Exponential Growth
  51. 51. IoT Architecture (10.000 feets…)
  52. 52. IoT Directly Impacting on Business
  53. 53. Business Data Explosion
  54. 54. Data Volume & Velocity vs. Analytics
  55. 55. Data Will Be The King for Business
  56. 56. Big Data & Analytics Decision Change
  57. 57. Big Data & Analytics Architecture
  58. 58. Big Data & Analytics Architecture Data Storage Data Source Data Explotation Infrastructure
  59. 59. Big Data & Analytics Architecture Data Storage Infrastructure Data Explotation
  60. 60. Artificial Intelligence  Improved Analytics
  61. 61. Artificial Intelligence Areas
  62. 62. Machine Learning Basics
  63. 63. Deep Learning <=> Improved Machine Learning
  64. 64. Deep Learning in Action!
  65. 65. Why we needed now?
  66. 66. Example #1: A.I. Driven Maintenance (Past)
  67. 67. Example #2: A.I. Driven Cars (Present)
  68. 68. Domino's Self-Driving Delivery https://www.youtube.com/watch?v=hANXIPxN1ME
  69. 69. Example #3: A.I. Driven Medicine (Future)
  70. 70. www.daycohost.com @daycohost @daycohost Preguntas
  71. 71. Declaración de Responsabilidad El contenido de esta presentación es de carácter confidencial, informativo y sin fines comerciales, no implica un compromiso de desarrollo, lanzamiento o cronograma de entrega de característica o funcionalidad alguna, no debe confiarse en ella en la toma de decisiones, ni puede incorporarse o tomarse como referencia en un contrato. Así mismo, está prohibido el uso, distribución y reproducción por cualquier medio de forma parcial o total, sin autorización Dayco Host y/o terceros tenientes de derechos de autor, según sea aplicable. Declaración de Derechos de Autor Dayco Host y su logotipo son marcas registradas, el resto de las marcas y logotipos de la presentación pertenecen a sus registrantes y autores intelectuales. Declaraciones Legales

×