Big Data LDN 2018: FIGHTING DATA CHAOS: CONNECTING USERS TO DATA AT SCALE
- 1. FIGHTING DATA CHAOS Joel McKelvey, Director of Product Marketing, Looker | November 13, 2018 CONNECTING USERS TO DATAAT SCALE
- 2. $177.5M in funding CapitalG, Geodesic, Redpoint, First Round, Goldman Sachs, Kleiner Perkins, Meritech, Sapphire, PivotNorth Global Offices Santa Cruz, San Francisco, Dublin, London, Tokyo, New York, Boulder, Chicago Major Partnerships Google, Amazon, Cloudera, Microsoft, HPE, IBM 5 of 10 Fortune10 use Looker Over 1600 customers 600 + employees
- 3. Trends in Data Supply § Data doubles every 18 months § Proliferating data sources § Increased heterogeneity § Accelerated pace of change
- 4. Trends in Data Demand DevOps Engineer DataDriven Product Manager Financial Analyst Customer Success Manager Sales & Revenue Ops Analyst Quantitative Marketer DevOps Engineer DataDriven Product Manager Customer Success Manager Logistics Manager § Increasing numbers of users § New data-driven roles § More diversity of requirements § Accelerated pace of change
- 5. Connecting People to Data – The Analytics Challenge DevOps Engineer DataDriven Product Manager Financial Analyst Customer Success Manager Sales & Revenue Ops Analyst Quantitative Marketer DevOps Engineer DataDriven Product Manager Customer Success Manager Logistics Manager ? The Data Team
- 6. Connecting People to Data – The Analytics Challenge DevOps EngineerDataDriven Product Manager Financial Analyst Customer Success Manager Sales & Revenue Ops Analyst Quantitative Marketer DevOps Engineer DataDriven Product Manager Customer Success Manager Logistics Manager ! The Data Team
- 7. Point Solutions and Department-Level Analytics DevOps EngineerDataDriven Product Manager Financial Analyst Customer Success Manager Sales & Revenue Ops Analyst Quantitative Marketer DevOps Engineer DataDriven Product Manager Customer Success Manager Logistics Manager The Data Team ! ! ! ! ! !
- 8. The Platform Approach DevOps EngineerDataDriven Product Manager Financial Analyst Customer Success Manager Sales & Revenue Ops Analyst Quantitative Marketer DevOps Engineer DataDriven Product Manager Customer Success Manager Quantitative Marketer The Data Team Modern Database Platform Services Presentation Layer
- 9. Describing the Platform Modern Database Platform Services Presentation Layer • In-database architecture • MPP database support • Integrations (security, etc.) • Data centralization focus • Extract (transform) Load • Database agnostic • Common data model • Repeatability • Control, governance • Comprehensive analytics • Inheritance, sharing • Extensibility • Self-service • Explorability/discoverability • Automation • Integrated with 3rd party platforms • Embedded analytics • Customizability
- 10. Active Users Data Team Ad-hoc requests (per week) Straight talk: Analytics scales faster than your team Historical Data. Extrapolated.
- 11. Active Users Data Team Ad-hoc requests (per week) Looker Implementation The Platform at Work: Scaling Looker
- 12. Old Approach Platform Approach ● Different BI tools across the company ● Inconsistent results ● Sluggish performance ● Platform provides single source of truth ● Common process for interpreting data ● Rapid insights, company-wide adoption Jonathan Palmer, Business Intelligence Lead Hundreds of reports users have built and scheduled for themselves would have taken our data team a year or more to create before Looker. ©Looker2018.Confidential
- 13. “Looker has freed our time to do far more useful work.” Andrew Dunmall Analytics Product Consultant ©Looker2018.Confidential
- 14. “People began customizing reports and exploring the data much faster than we ever expected.” Will Sprunt Head of Business Intelligence ©Looker2018.Confidential
- 15. “There’s basically no end to how we can continue to evolve Looker –- which is really exciting.” Tom Hillman Paid Social Manager ©Looker2018.Confidential
- 16. Blissful BI with Learn more at the session “Blissful BI with Brandwatch" Data Ops Theatre, 13 Nov, 2.30-3.00pm
- 17. Questions? Please visit stand #437 for more information