Faster data prep can mean improved efficiency and quicker
Prepare the right data efficiently
Looker can provide governed data, so the metrics you need
are predefined, reusable, and reliable. This can make it
easier to collect, combine, and feed data from connected
sources directly to your advanced analytics models.
Do prescriptive analytics with popular tools
From simple regression for forecasting, to k-means
clustering for customer segmentation — use the
techniques and tools you already know and love to build
artificial intelligence and machine-learning models that
answer your highest value questions.
Take immediate action from your model outputs
Get from answers to outcomes faster, by delivering
actionable insights to your stakeholders and other
endpoints. Merge model outputs with other datasets in Looker
to visualize data, or schedule and trigger actions around
Start your free trial
Tap into the real business value of your data with a free trial of
The benefits of Looker in your data science workflow...
Eliminate data movement with a unified machine learning
workflow in BigQuery
Speed up model development by using tidy data sets from
Looker to build to feed BigQuery ML models
Surface predictive metrics to business users, and they can
leverage Looker’s self-service capabilities to
Robust data connections with R Studio and Jupyter Notebook
Democratized AI analytical techniques with BigQuery,
DataRobot, BIgSquid and other tech partners
Scalable machine learning with Google TensorFlow and
Tighten up feedback loops to better test and optimize
Automate actions to surface insights and trigger business
Push your highest value work for greater impact in more
places and ways
Integrate Looker with your favorite tools
Looker allows you to feed your advanced analytical model
with your cleansed dataset so you can spend your time
building models instead of wrangling data.
Reduce data movement and increase feedback loops by building
predictive models into your BigQuery database with
pre-cleaned data from Looker. Surface outputs of the model
within Looker to help make the value of machine learning
models operational for your business.
Leverage pre-modeled data from Looker while working with
Python within your Jupyter Notebooks. Connect to
Looker’s API to issue queries from a pre-cleaned
dataset within Looker to help tighten feedback loops and
reduce time spent on data preparation.
Integrate Looker into your R-Studio with a SDK. Issue API
calls from R-Studio to surface pre-cleaned, pre-prepared
data from Looker’s data model.
Companies can find power in their data, while maintaining choice
in their data stack