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 enhance your ability to uplift the experience for your customers while eliminating constraints of scale, performance, and cost.
Why GCP Smart Analytics?
Every organization has to overcome unique challenges and tailor priorities when it comes to data-driven business growth. Smart analytics transformation leverages Google Cloud analytical tools that enable data foundation to deliver actionable insights.
Run at scale
Take the 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 multicloud platform.
You can count on us for
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.
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 by a vast number of users.
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.
Marketing Analytics
Get a 360-degree view of the 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.
GCP Insights
Google Cloud VMware Engine
This whitepaper will show you how to perform VM migration to Google Cloud natively and securely, giving you access to cloud scalability and cost savings.
Running VMware-Based Applications in Google Cloud
This guide provides insights into how GCVE facilitates google cloud migration and helps you build a cloud native, secure, and scalable application ecosystem.
Google’s Guide to Data Warehouse Innovation
Find out the steps your organization can take to make sure you have future-proofed your data warehouse innovation potential for bespoke data analytics.
Looker Guide to Modern BI Evaluations
This guide is intended to help BI decision makers implement a modern evaluation and selection methodology to make an informed BI platform purchase decision.
FAQ
In Adastra, smart analytics is defined as the process of collecting and analyzing data to help businesses make better decisions about their products, and services.
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 way easier to decide on the data you need.