Azure cafe marketplace with looker data analytics
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Microsoft Azure Marketplace Cafe presentation from our session with guest chefs from Looker June 2016
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Azure cafe marketplace with looker data analytics
- 1. Azure Café Marketplace Data Analytics “Everyone Loves” M A R K T P L A C E Learn how Looker makes it easy for data teams to create a data platform for your organization. Experience how self-service analytics performed by business users today plays a substantial role in the solidification of a truly data-driven culture. A Z U R E C A F E
- 2. Azure Café Marketplace Series Explore what you can build with Microsoft Azure Marketplace Solutions. What would you like to see in the next series? Send feedback to martish@microsoft.com
- 3. Agenda • Introductions • Intelligent Data Analytics Priorities • Looker Marketplace Solutions • Demo with Q&A • Next Steps
- 4. Data Analytics Market TrendsDataVariety • Technologies available through Big Data and IoT systems enable new data sources for analytics • Traditional Data Sources (RDBMS, spreadsheets, etc) combined with Data Lakes, event streams and NoSQL create new analytical opportunities IntelligenceforEveryone • Empower the entire organization to make better decisions • Not just for analysts and data quants • Enable data-driven decision making throughout the your organization • “Democratization of analytics” • Self-service analytics CompellingVisualizations • Visual analytics and dashboards provide a compelling way for non-analysts to enter into the world of data-driven decision making • Custom and adaptive visualizations for data analytics can provide endless data visualization scenarios
- 5. Customer Cloud Data DemandsScale • Elasticity. Don’t engineer for worst- case scenario all the time. • Moving data to Azure means taking advantage of Microsoft’s bottomless storage and enormous compute resources. SpeedofDeployment • Customers want to take advantage of Azure’s ability to automate deployments • A huge advantage of Cloud Data solutions in Azure is to quickly spin-up & spin- down environments in dev/test, QA, production as well as pause & stop PolyglotEnvironments • Azure Data solutions are able to incorporate complex heterogeneous data environments that include a large spectrum of engine and storage options from RDBMS to NoSQL to Hadoop • Take advantage of the Azure Marketplace
- 6. Data Analytics in the Microsoft Azure Marketplace
- 8. LOOKER AT A GLANCE $96M in funding Redpoint, First Round, Kleiner Perkins, Meritech 200+ employees Over 550 customers Global Offices Santa Cruz, San Francisco, London, New York Major Partnerships Microsoft, Google, Amazon, Cloudera, HP, IBM Experienced Team Google, Pivotal, Greenplum, Box, Cloudera
- 9. Make it easy for everyone to find, explore and understand the data that drives your business.
- 10. JOINING US ON OUR MISSION eCommerce Technology Marketplaces Fin Services Media/Ad Tech
- 11. Companies typically have one of two painful data experiences…
- 12. DATA BOTTLENECK Which features increase engagement? What triggers a customer churn? Which web page works best? How is pipeline for Q4? Will we meet our revenue targets? Which customer is at risk? Which campaigns convert best? Which rep is converting best? Can we speed up our operations? Are we investing in the right area? Who are our happiest customers? What industries are we doing well in? Where should we spend more budget?
- 14. IS THERE A WAY TO FIND BALANCE? Standards Scalability Governance Self-Service Agility Flexibility
- 15. LOOKER: A DATA PLATFORM THAT DOES BOTH Find, explore and understand all the data Explore Everything Find, explore and understand all the data Create Standards Define your data and business metrics Any SQL Database Analyze all of your data where it is stored Build a Data Culture Anyone can ask and answer questions How is pipeline for Q4? Will we meet our revenue targets? Which campaigns convert best? Which rep is converting best? Which customer is at risk? Can we speed up our operations?
- 16. THE TECHNICAL PILLARS THAT MAKE IT POSSIBLE 100% In Database Leverage all your data Avoid summarizing or moving it Modern Web Architecture Access from anywhere Share and collaborate Extend to anyone LookML Intelligent Modeling Layer Describe the data Create reusable and shareable business logic
- 17. IMAGINE WHAT YOU COULD DO… Hadoop Analytics 360o View Of Customer Sales Analytics Operational Analytics Marketing Analytics Embedded Analytics Web Analytics Product Analytics
- 18. LOOKER FOR MICROSOFT AZURE Deployment Easy deployment on Microsoft Azure Data Sources Connect to SQL Database, SQL Data Warehouse, HDInsight (Spark and Hive) Data Modeling Layer Define your data and business metrics Explore Find, explore and understand your data
- 21. Azure Café Next Steps For more information on the Azure Marketplace and Looker solutions contact: • Marti Stephens-Hartka – Microsoft ISV Leader East Region martish@microsoft.com • Erin Franz and Nouras Haddad alliances@looker.com – Looker Alliances Team Additional Resources: • Get to know and love Looker! https://azure.microsoft.com/en- us/marketplace/partners/looker/looker-analytics-platform-326/ • Looker Unveils Looker Data Apps: Analytical Applications for Every Business Function • Azure Marketplace: https://azure.microsoft.com/en-us/marketplace/ • Azure SQL DW Deep Dive: https://channel9.msdn.com/Events/Ignite/2015/BRK3569 • Azure HDInsight: https://azure.microsoft.com/en-us/services/hdinsight/ • Microsoft Cortana Analytics Suite: http://www.microsoft.com/en-us/server-cloud/cortana- analytics-suite/overview.aspx • Azure Data Lake Analytics: https://azure.microsoft.com/en-us/solutions/data-lake/ •
- 22. An online store for highly optimized and integrated applications and services ready to deploy on Microsoft Azure Growing ecosystem of 3,000+ apps or components Reduced sales cycle with pre-configured, ready-to-run apps and services Streamlined configuration, deployment, and management Integrated platform experience Top scenarios include: Big data, security, networking, DevOps & automation, business continuity & backup, management apps Microsoft Azure Marketplacehttps://azure.microsoft.com/en-us/marketplace/
- 23. https://tryazuremarketplace.com/ Complete Labs for top AMP ISVs Hortonworks, Barracuda, Chef, Docker, Kemp. Hanu coming soon!
- 24. session. Keeping it simple and making it fun (KIS+MIF)
Notas do Editor
- Just a quick look at Looker. After just 4 years, we’re now over 500 customers, more than 200 employees and have raised $96M from some of the most well-known VCs. We’ve also got deep partnerships with all the big players, Amazon, Google, Microsoft, HP, IBM and Cloudera. And – offices everywhere – so we’re able to help in whatever time zone you’re in.
- Our mission is to make it easy for everyone to find, explore and understand that data that drives their business
- And here are the companies that have joined us on that mission… Kohler uses Looker to provide comprehensive web analytics dashboards to their 50 business entities, ensuring a single source of truth across teams and data sources (16) Blue Apron uses Looker to track and understand marketing attribution, as well as throughout the rest of the organization. Instacart uses Looker to optimize their business practices and improve user experience, as well as throughout the rest of the organization. (13) Jet uses Looker to monitor and optimize their complex supply chain, as well as throughout the rest of the organization. Warby Parker uses Looker to maintain their single source of truth across their organization, from their business teams to their retail sales reps. (28) Harry’s uses Looker to analyze and understand user retention, as well as throughout the rest of the organization. Sony uses Looker to analyze their games and understand where users are dropping off or having a hard time moving up to the next level, so they can improve user experience. (21) Intel analyzes user app experience to understand who their best users are and how they can use this information to improve user experience overall. (14) Autodesk uses Looker to understand their user funnel through their web site, analyzing normal e-commerce (shopping cart) data as well as other event data. (6) Docker (TBD) Twilio uses Looker to manage their phone number inventory, as well as for their single source of truth for data organization-wide (24) Acquia uses Looker to provide multiple tiers of web analytics to their hosting customers. (5) Uber uses Looker to better understand their hiring needs and processes. (25) eBay (acquired Braintree and Venmo) and use Looker to understand and monitor user experience to quickly identify and solve issues. (27) Etsy uses Looker to define a single source of truth which is then used by their Product, Marketing, and Finance teams. (11) Kiva uses Looker to evaluate their marketing efforts and understand their user retention and combine marketing with product data (16) Lyft uses Looker to provide KPI dashboards to their executive team. Kickstarter uses Looker to manage their support team, creating custom metrics with Zendesk data, as well as throughout the organization. (15) PayPal (acquired Braintree and Venmo) and use Looker to understand and monitor user experience to quickly identify and solve issues. (27) Avant relies on Looker for organization wide analytics, with over 500 weekly active users. Every team uses Looker from their call center and customer service to fraud detection to legal. (6) Braintree (TBD) Transferwise uses Looker for marketing attribution, fraud detection, and throughout the entire company. (23) Venmo uses Looker to understand and monitor user experience to quickly identify and solve issues. (27) eShares (TBD) Yahoo uses Looker to understand user experience and cohorts in their mobile app. (28) Snapchat (TBD) Buzzfeed (TBD) Hubspot embeds Looker directly into Salesforce, showing their sales team real time progress towards their quota. (12) TripAdvisor (TBD)
- Companies that we talk to usually tell us about one of two experiences that they are having…
- Does this look familiar? You have all this data, but only the data team – sometimes only one person – can actually access it and run the reports or do the analysis that everyone in the company needs. So all of the questions that everyone in your company has – have to wait in line.
- Some systems allow people to grab a bunch of data and go analyze it on their own – which seems great, but turns out causes a lot of chaos. These tools can only analyze a subset of the data, which means you aren’t getting a complete picture of the business, and even worse – everyone is defining the data differently and creating business metrics in their own way. Have you ever walked into a meeting and two people spend time arguing over whose data is right – instead of what to do with the conclusions?
- Legacy tools like Microstrategy are focused on creating standards across the organization – which is not a bad thing, but without the flexibility of self-service access – cause the data bottleneck… Newer visualization tools like Tableau are great at self-service, but they cause chaos with everyone off on their own with different sets of data and different business metrics. So how to do you find balance between both these goals?
- That’s where Looker comes in. We have architected Looker as a data platform that balances both of these needs. Looker sits on top of any SQL database – so you don’t have to move your data and you certainly don’t have to analyze just a sub-set. The our data-modeling layer allows your data team to create consistent definitions for the data and create business metrics that the everyone can use – things like ‘active customer’ or ‘lifetime value of a customers’ can be defined once and then everyone can use that definition in their own analysis. Anyone in the business can then explore and analyze all the data on the Looker data platform. Ask and answer their own questions, create dashboards and share with just a link. What we’ve found amazing is that over time our companies begin to build a data culture. Where everyone is making decisions based on data – and operationalizing it into their systems.
- So how did we do it? Through these three technical pillars of our platform. We’re 100% in-database. If you’ve already put energy into centralizing your data, then you can easily leverage that investment by using the Looker platform to turn your data warehouse into a data analytics platform. If you haven’t, that’s OK too. Our Modeling Layer LookML makes it possible to take data in whatever condition it’s in and clean it up by building re-usable definitions and logic. You can access Looker from anywhere because we work through the browser – which also makes it easy to share your analysis with just a link. If you’re interested in extending and sharing everything from a simple dashboard to deep exploration with partners or customers – or even embedded within your own product – we are uniquely architected to do that easily.
- Because we are such a flexible data platform, our customers are using us in many different ways. Uber uses Looker to better understand their hiring needs and processes. (25) Hubspot embeds Looker directly into Salesforce, showing their sales team real time progress towards their quota. (12) Buffer uses Looker to analyze every part of the user journey for every part of the business from finding their marketing ROI to identifying opportunities to offer proactive support. (7) Cigna (TBD) Acquia uses Looker to provide multiple tiers of web analytics to their hosting customers. (5) Blue Apron uses Looker to track and understand marketing attribution, as well as throughout the rest of the organization. Kohler uses Looker to provide comprehensive web analytics dashboards to their 50 business entities, ensuring a single source of truth across teams and data sources (16) Sony uses Looker to analyze their games and understand where users are dropping off or having a hard time moving up to the next level, so they can improve user experience. (21)
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