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)
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)
Azure cafe marketplace with looker data analytics
Azure Café Marketplace
Data Analytics “Everyone Loves”
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.
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 email@example.com
• Intelligent Data Analytics Priorities
• Looker Marketplace Solutions
• Demo with Q&A
• Next Steps
Data Analytics Market TrendsDataVariety
available through Big
Data and IoT
systems enable new
data sources for
• Traditional Data
combined with Data
Lakes, event streams
and NoSQL create
• Empower the entire
organization to make
• Not just for analysts
and data quants
• Enable data-driven
throughout the your
• “Democratization of
• Self-service analytics
• Visual analytics and
a compelling way
for non-analysts to
enter into the world
• Custom and
data analytics can
Customer Cloud Data DemandsScale
• Elasticity. Don’t
engineer for worst-
case scenario all the
• Moving data to
Azure means taking
• Customers want to
take advantage of
Azure’s ability to
• A huge advantage of
Cloud Data solutions
in Azure is to quickly
spin-up & spin-
in dev/test, QA,
production as well
as pause & stop
• Azure Data solutions
are able to
include a large
spectrum of engine
and storage options
from RDBMS to
NoSQL to Hadoop
• Take advantage of
Data Analytics in the Microsoft Azure Marketplace
LOOKER AT A GLANCE
$96M in funding
Redpoint, First Round,
London, New York
Make it easy for everyone
to find, explore and
the data that drives your
JOINING US ON OUR MISSION
eCommerce Technology Marketplaces Fin Services Media/Ad Tech
Companies typically have one of two
painful data experiences…
What triggers a
How is pipeline
Will we meet
is at risk?
Which rep is
Can we speed
Are we investing
in the right area?
Who are our
are we doing well
we spend more
IS THERE A WAY TO FIND BALANCE?
LOOKER: A DATA PLATFORM THAT DOES BOTH
Find, explore and understand all the data
Find, explore and
understand all the data
Define your data and
Any SQL Database
Analyze all of your data
where it is stored
Build a Data Culture
Anyone can ask and
How is pipeline
Will we meet
Which rep is
is at risk?
Can we speed
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
Describe the data
Create reusable and shareable
IMAGINE WHAT YOU COULD DO…
LOOKER FOR MICROSOFT AZURE
Easy deployment on Microsoft Azure
Connect to SQL Database,
SQL Data Warehouse,
HDInsight (Spark and Hive)
Data Modeling Layer
Define your data
and business metrics
Find, explore and
understand your data
Azure Café Next Steps
For more information on the Azure Marketplace and Looker solutions contact:
• Marti Stephens-Hartka – Microsoft ISV Leader East Region firstname.lastname@example.org
• Erin Franz and Nouras Haddad email@example.com – Looker Alliances Team
• Get to know and love Looker! https://azure.microsoft.com/en-
• 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-
• Azure Data Lake Analytics: https://azure.microsoft.com/en-us/solutions/data-lake/
An online store for highly optimized and integrated
applications and services ready to deploy on
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,
Microsoft Azure Marketplacehttps://azure.microsoft.com/en-us/marketplace/
Complete Labs for top AMP ISVs Hortonworks, Barracuda, Chef, Docker, Kemp. Hanu coming
Keeping it simple and making it fun (KIS+MIF)