GCP Smart Analytics

Embrace data-driven decision-making in real-time. Utilize Google Cloud’s next-generation capabilities to accelerate time-to-insights.

As a Google Cloud Partner, Adastra helps you tackle and de-silo big data to deliver actionable insights that empower your decision-making and accelerate innovation. We utilize Google Cloud’s advanced data analytics, AI, and machine learning tools to improve your customer experience while eliminating constraints of scale, performance, and cost.

Why GCP Smart Analytics?

Every organization has to overcome unique challenges and has unique priorities when it comes to data-driven business growth. A smart analytics transformation leverages Google Cloud analytical tools to enable a data foundation and deliver actionable insights.

Run at scale

Take full advantage of your analytical processes with Google Cloud’s fully managed serverless tools.

Democratize your data

Democratize analytics and data science to speed up data preparation, insight discovery, analysis, and time-to-insights.

Master real-time analytics

Optimize business outcomes with real-time intelligence and streaming analytics.

Maximize business outcomes

Maximize value from data with a flexible, open, and multi-cloud platform.

GCP Smart Analytics Craftmanship

Our experts are here to help you glean the insights you need to solve complex problems, better serve your customers, achieve organizational goals and maximize ROI.

Data warehouse modernization with BigQuery

Adastra brings advanced skills, best practices, processes, and frameworks to help you accelerate cloud migration and unlock the full potential of Google Cloud Platform (GCP). Our proven framework can help you seamlessly transition from existing data warehouses to BigQuery.

Data lake modernization

Make the most of your data lake by empowering your teams to securely and cost-effectively ingest, store, and analyze large amounts of diverse data from disparate sources. Leverage Dataproc for data lake modernization and ETL to future-proof the data science domain.

BI and analytics with Looker

Power self-service business intelligence across the entire organization by leveraging a modern BI, embedded analytics, and data application platform. Looker will help you improve productivity, decision-making, and gaining actionable insights on a vast number of users.

Marketing analytics

Get a 360-degree view of your customer journey, predict business outcomes in real time, and create personalized customer experiences. We will help you move your marketing data form Google Marketing Platform to BigQuery, where you can perform in-depth data analysis and build predictive audiences.

Recent Recognitions

Featured Resources

Frequently Asked Questions

AtAdastra, smart analytics is defined as the process of collecting and analyzing data to help businesses make better decisions about their products and services.

The process of data analysis uses analytical and logical reasoning to gain insights and uncover hidden patterns from the data. The main purpose of data analysis is to find meaning in data so that the derived knowledge can be used to make informed decisions.

According to Gartner, 52% of companies worldwide leverage advanced and predictive analytics, and 59% of organizations around the world use big data analytics.

Starting with a clear objective is an essential step in the data analysis process. By recognizing the business problem that you want to solve and setting well-defined goals, it’ll be easier to select the data you need to analyze.

Modernize Your Data Warehouse with BigQuery

Meet analytical demands and seamlessly scale for your business needs with our GCP fully managed DWH solution. Accelerate time to insights.