Move Google Adwords Data into a Data Warehouse in Minutes

PPC relies on data. Panoply seamlessly integrates with all of your Google Adwords data, allowing you to thoroughly analyze your clicks and drive actionable changes to your campaigns. Google Adwords is the pay per click online advertising tool used by Google search engines, their apps, and their Adsense partners. The data from these campaigns is a critical tool in marketing optimization.

With Panoply, you can easily import and analyze all of your Adwords data, cross reference it to other data sources within your warehouse, and determine where to put your budget to maximize your ROI, all with Panoply’s enhanced features and desirable user interface. Panoply’s end-to-end data management system makes it much easier to successfully utilize all of your Google Adwords data.

Panoply makes it easy to analyze Google Adwords data

Why Panoply?

Use-Case Optimization

Analyzes queries and data – identifying the best configuration for each use case, adjusting it over time, and building indexes, sortkeys, diskeys, data types, vacuuming, and partitioning.

Query Optimization

Identifies queries that do not follow best practices – such as those that include nested loops or implicit casting – and rewrites them to an equivalent query requiring a fraction of the runtime or resources.

Server Optimization

Optimizes server configurations over time based on query patterns and by learning which server setup works best. The platform switches server types seamlessly and measures the resulting performance.

Updates, Upserts, and Deletions

Supports standard SQL update and upset operations out of the box – without worrying about vacuuming or rebuilding- unlike many analytical databases.

Semi-Structured Data Parsing

Supports semi-structured text values like nested JSON, user-agent strings, some standard log formats, CSV, and serialized Ruby objects – parsing these objects and normalizing them into a relational database design.

Nested Structures

Handles nested structures automatically, flattening them into several tables with a one-to- many relationship. The result is a ready-to- use relational database design for all current and future datasets.

Columnar Storage

Provides seamless data storage and management in a multitiered, columnar storage based on Amazon Redshift, Elasticsearch, and Hadoop or SS3.

Data Tracking and Alerts

Simplifies how you keep track of vast amounts of data – by identifying patterns, providing notification of anomalies, and generating alerts when the results of arbitrary SQL queries exceed predefined thresholds.

Backup and Recovery

Automatically backs up changes to data to a redundant S3 storage, optionally saved in two different availability zones across continents – enabling full recovery to any point in time.

From raw data to analysis in under 10 minutes

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