Google Cloud Bootcamp for your Data Analytics

Thanks to Google Cloud Bootcamp you will run your first analytics scenario or you will experiment with advanced analytics and Machine Learning in the public cloud. During 6-8 weeks, we will define a Data Strategy for your business needs, build an MVP (Minimum Viable Product) and roll it out to your users. We will also share our knowledge with your Team so you can easily maintain the application and possibly extend it in the future.

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They get value from analytics in the cloud

How does the Cloud Bootcamp work?

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Data Strategy Workshop

Defining a first business case for analytics solutions is extremely important for the organization as it have to bring real value for the future users in a short period of time. During Data Strategy Workshop we will help you define a strategy for your analytics, review your use cases and help to choose the one with the biggest value for your business. At this stage we will also define initial requirements for security and governance to be used further in the analytics environment.

The goal of the program is to prove how analytics can help your organization in achieving business goals through fast development process based on public cloud functionalities.

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Data Roadmap Workshop

This workshop let us summarize all the experiences from building MVP product in the context of your Data Strategy. Together with your Leadership we will help you define your data strategy and draw a roadmap for your organization to reach the next level of digital transformation.

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Preparation

This step is about information gathering to help us better understand your organisation and your data. We will set up our working environment and if needed we will create Google Cloud account for you. Finally, we will confirm the scope of the MVP product.

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MVP Building

During development step we focus on two deliverables - Minimum Viable Platform and Minimum Viable Data Product.

Minimum Viable Platform is an analytics environment that allows to load, process and transform data for further reporting. It covers the whole software development life cycle starting at code versioning, through automation (CI/CD pipeline) to monitoring.

Minimum Viable Data Product is an application whose primary objective is to use data to facilitate project goal, to satisfy an objective of the use case. In our case it is usually a report or visualization together with a data pipeline that loads and transforms data from the source. However it can be also a real time dashboard or data feed for external systems that includes Machine Learning. At this stage you can expect to receive a working product based on the defined use case.

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MVP Demo

During Demo meeting we will show the functionalities of the platform and application we are about to build to satisfy the use case scenario. At this point we can roll out the application to business users.

It is important to emphasize that both Minimum Viable Platform and Minimum Viable Data Product are fully working applications that can evolve incrementally in the future by adding new data sources, new pipelines and reports.

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Trainings

(Optional) If you want to build your internal capabilities regarding building and maintaining data-driven applications using Google Cloud Platform we can provide a set of technical and business-oriented trainings for your Team. However such training package is usually tailored to the needs of your organization and is an optional addition to the Bootcamp.

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Knowledge sharing

We want your Team to be capable of running and maintaining the application. During knowledge sharing sessions we will provide documentation and hand over the code.

How does the Cloud Bootcamp work?

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How your business can benefit from Big Data Analytics

How can data analysis using public cloud service help your business? There are dozens of possibilities but here are some ideas on how to turn your data into real assets:

Customer Journey

Track all touchpoints your customers have with your brand, and use this data to analyze their needs

Analytics dashboard

Get insights from external data combined with your internal data sources, all in one place

Financial reporting

Gather your business financial data in one place and benefit from cross-domain analysis. A better view of your financials will help you in cost control and increase revenues

Video analytics

Let AI analyze your video and deliver insights that allow you to optimize your operations - marketing, sales, but also security, and logistics

Customer Data Platform

Consolidate knowledge about your customers creating a 360° holistic view, and apply Machine Learning techniques to optimize your activities and scale your sales and marketing

Smart metering

Analyse data gathered from your IoT devices and visualize metrics to help your users in controlling business operations

Digital Marketing Platform

Improve the efficiency of your marketing campaigns with Big Data and make better use of your budgets!

Operational management

Extract your business operational data from your operational management systems and have a better outlook with KPI visualization

Machine Learning Operations

Structure your process of creating ML Models and have better control over their training and runtime. Make your models available for other applications with MLOps

Our Google Cloud Projects
for business customers

Mamava - breastfeeding supported with modern IoT and app features

mamava big data getindata iot 2.png

We created dashboards which allow Mamava to track lactation pods state and detect anomalies that may indicate failure or defect. We also supported them in approaching pods location analysis. Thanks to geospatial data it was possible to visualize pods location on the map and create alerts on changes in pods position including maps and timing details.

Main technologies: Google Cloud, BigQuery, Tableau

Truecaller - armed with data analytics to control incoming calls

truecaller cloud journey getindata.png

We are building and using a robust, petabyte-scale and cost-effective Data Analytics Platform taking advantage of Google Cloud Platform and open-source technologies to collect, store, and analyze data of 250M users and 500k+ events per second.

Main technologies: Google Cloud Platform, BigQuery, Data Studio, Data Proc, Kafka, Spark, Airflow, Kubernetes

How do we work on Google Cloud Bootcamp for Analytics?

Building an MVP such as an analytics environment is not an easy task, but our team of experts not only has extensive experience in projects based on the Google Cloud, but also a holistic approach to building Data Strategy and implementing Big Data projects know how important Data Analysis for Business is.

  • Your use case

    Your use case

  • Technical assessment

    Technical assessment

  • Solutions proposal

    Solutions proposal

  • Production-grade solution

    Production-grade solution

  • Discovery phase

    Discovery phase

  • Shared Teams

    Shared Teams

  • Extensions

    Extensions

  • Handover

    Handover

Watch our webinar: Strategies for on-premise to Google Cloud migration

During this webinar, we discussed various approaches you can take to migrate the infrastructure to a public cloud, pointing out their pros and cons. The webinar was based on our real-life, production-grade experience with the Google Cloud analysis environment however, the strategies and insights can be easily applied to all kinds of IT infrastructures.

Ready to start Cloud Bootcamp?

Please fill out the form and we will come back to you as soon as possible to schedule a meeting to discuss about your needs.

What did you find most impressive about GetInData?

GetInData is a relatively small agency with experienced professionals that enjoy and perform their job exceptionally well. Their attentiveness and code quality are impressive
We were super impressed with the quality of their work and the knowledge of their engineers. They have very high standards in terms of code quality, organisational skills and are always willing to contribute with their best. They also are very friendly and easy going people, what made our collaboration more fun.
They did a very good job in finding people that fitted in Acast both technically as well as culturally.

Let's start a cloud journey together

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