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Analyze more. Wrangle less.
Faster data prep means improved efficiency and quicker time-to-value.
Prepare the right data efficiently
Looker provides governed data, so the metrics you need are predefined, reusable and reliable. It’s never been easier to collect, combine and feed data from any connected source 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 business processes.
The benefits of Looker in your data science
- 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 BQML models
- Instantly surface predictive metrics to business users and leverage Looker’s unique self-service to operationalize them
Best of breed
- 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 BigQuery integration
- Tighten up feedback loops to better test and optimize statistical models
- Automate actions to surface insights and trigger business processes
- Push your highest value work for greater impact in more places and ways
Integrate Looker with your favorite tools
Looker makes it simple to feed your advanced analytical model with your entire, cleansed dataset so you can spend your time
building models instead of wrangling all that data.
Eliminate 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 instantly within Looker to make the value of machine learning models operational for your entire business.
Leverage pre-modeled data from Looker while working with Python within your Jupyter Notebooks. Connect directly to Looker’s API to easily issue queries from any pre-cleaned dataset within Looker to tighten feedback loops and reduce time spent on data preparation.
Integrate Looker completely into your R-Studio, with a full SDK. Issue API calls directly from R-Studio to surface pre-cleaned, pre-prepared, tidy data from Looker’s data model.