Data warehouse modernization
Turn data into actionable insights with a comprehensive and serverless data analytics platform.
Cloud for Marketing enables enterprises to bring together their marketing and sales data so they can analyze and activate it. Using Google Cloud’s powerful machine learning tools, marketers and ad agencies can better understand the customer journey, predict marketing outcomes, and personalize the customer experience. For partners looking to build a practice and get recognized in this area, the Marketing Analytics Specialization is recommended. You can find the requirements and application in the Partner Program section, under Specializations.
Dooing Digital is your partner to help you assess your data needs and develop the cloud-first data strategy that is best suited for achieving your business goals.
Set up your data warehouse in seconds and start to query your data immediately. No clusters to configure, no capacity planning or software set up needed. Run blazingfast SQL queries on gigabytes to petabytes of data with equal ease. and plug and play Looker dashboards for insights into common business scenarios.
Enable data scientists and data analysts to quickly build and operationalize ML models on planet-scale structured or semi-structured data using simple SQL.
Remove the headache of capacity planning by leveraging Google’s serverless infrastructure that uses automatic scaling with decoupled compute and storage. Meet the challenges of real-time analytics and high-performance streaming ingestion to load millions of rows per second.
Experience cutting-edge performance, security and functionality for a cost that fits your budget. Eliminate the data operations burden by providing automatic data replication for disaster recovery and high availability of processing for no additional charge. Easily maintain strong security with fine-grained identity and access management control.
Google Cloud’s BI modernization solution is an offering designed to reshape the way organizations think about business intelligence. The solution allows customers develop a strategy to modernize BI and put data at the center of their business transformation.
Traditional BI approaches focus on the technology first. However, a study made in 2020 from the McKinsey Global Institue, revealed that data-driven organizations significantly outperform their peers: they are 23 times more likely to acquire customers, they deliver 15 times more value to them, therefore they are 6 times as likely to retain them. As a result, those organizations are 19 times as likely to be profitable.
The user: adopting a consumer-centric approach to increase your workforce’s ability to drive business value.
The technology: utilizing agile and scalable technology that accelerates solution delivery.
The data: using your data in a meaningfull way, unlocking new value streams from it.\
Why opting for Google Cloud’s solution?
Google Cloud offers a platform that empowers data teams and developers, providing the proper tools to deliver personalized experiences across the enterprise.
It leverages Cloud investment.
It is scalable and lightweight.
It provides agile governance layer.
It has a seamless administration.
It offers a extensible framework.
Looker is a modern BI and analytics platform, with multiple advantages to it:
Acces row-level data through in-database architecture.
Modern visualizations for quick customizable insights.
Extensive REST API to support custom apps and workflows.
Semantic modeling layer to standardize metrics and usage patterns.
Scalable and lightweight web-based architecture.
Multi-Cloud and database access to support any environment.
Modern BI and analytics: serve up real-time reports and dashboards that inspire more in-depth analysis.
Integrated insights: infuse relevant data with your existing tools for an enhanced experience and more effective results.
Data-driven workflows: super-charge operational workflows with complete, near-real time data.
Custom applications: provide a data tool built to deliver the results you need, as needed.
Cloud for Marketing enables enterprises to bring together their marketing and sales data so they can analyze and activate it. Using Google Cloud’s powerful machine learning tools, marketers and ad agencies can better understand the customer journey, predict marketing outcomes, and personalize the customer experience.
Addressing Marketing Analytics/Marketing Cloud needs is key to delivering real-time targeted advertising and marketing content based on customer behavior, customer feedback, or competitor moves by analyzing both staged and real-time data. This solution uncovers the business challenge companies often face when it comes to specific marketing analytic business needs, how our products, partners and services work together to solve these business challenges, as well as how we’re different.
Imagine if you could account for every customer, their behaviors, and their preferences in your customer intelligence system. What would that be worth to you? Google’s Marketing Analytics Pack and Dooing Digital make that possible―without creating custom point-of-sale solutions, disconnected datasets, or expensive infrastructure.
Google’s Marketing Analytics Pack lets you bring more data to the table and activate it faster than ever. So you can marry what you know about customers with what Google knows about them, while democratizing analytics across the enterprise.
With its core analytics engine, BigQuery, you’re able to create more rigor in your customer segmentation strategy by adding more data and enabling rapid prototyping. And you can deploy machine learning at a fraction of the cost and resources of other solutions.
Google has already done the hard work―why not take advantage of it?
Ingest, process, and analyze event streams in real time. Google Cloud’s streaming analytics solution organizes data and makes it more useful and accessible from the moment it’s generated.
Most organizations face the challenges of scaling infrastructure, finding critical talent and optimizing costs. Analytics leaders struggle with managing growing expectations and delivering valuable insights. Organizations on the road to ML/AI struggle with the choice of many different pathways, meanwhile those that are quick to explore ML and AI struggle when their current data warehouse can’t provide the needed speed and scale, which causes higher up-front, operational and maintenance costs, as well as higher risk of failure.
Google’s streaming analytics solution helps paving the way to ML/AI, using a holistic approach to creating end-to-end architectures
Build strong data foundation on your path to ML/AI
Cloud Pub/Sub:
Deliver event data wherever you need it
A simple, reliable foundation for stream analytics
Ingests event data streams and delivers them to Cloud Dataflow for processing
Fast reporting, targeting and optimization in advertising and media
Cloud Dataflow:
Transform data in real-time
Reduce complex workarounds
Reduce compromises for reliably managing streaming analytics
Simplify operations and management
BigQuery:
A petabyte-scale Data Warehouse Platform
Fully managed and serverless
Pay-as-you-go pricing
Cloud ML Engine:
Combined with powerful TensorFlow framework
Can generate ML models that work for any type of data any size
Can manage trained models for large scale online and batch predictions
Google Data Studio:
Easily access a wide variety of data
Quickly build interactive reports and dashboards
Share your reports and dashboards with individuals, teams, or the world
Collaborate in real time