Even though Big Data is just a small portion of all the generated data in every company, it is widely used for integration and analytics in a great variety of industries: from media, entertainment, telecom, and government to retail, healthcare, energy, and hospitality.
In fact, 97.5% of big and expanding organizations are already investing in Big Data and AI.
And Google has made Big Data solutions even more reachable, available, and usable- to both companies who want to invest (Google Cloud Solutions), as well as those that don’t have the financial resources to do so (Data Solutions for Change program).
What is “Data solutions for change” program?
This program is created specifically for NGOs, non-profit, and charity organizations, which work towards making a change in the world. The organizations that apply for partnership with Google in this program are most frequently working towards establishing social and environmental sustainability, enhancing health care, quality of life in underdeveloped societies, or conducting research to tackle cross-area global problems.
The data solutions which Google provides help those business entities with a data-driven mindset to scale in their mission, automate their work, and share their vision by using Google Cloud credits, self-training resources, and execution support for free for 6 months. All that for the sake of contributing to useful innovations, products, and services to ensure a sustainable future.
But what are the solutions that Google Cloud Platform provides? Below you will find the five most deployed solutions, which “turn data into actionable insights with a comprehensive and serverless data analytics and machine-learning platform.”
5 Big data solutions by Google
Business Intelligence
This product represents a suite of integrated Data Analytics tools, including BigQuery, Google Data Studio, Sheets, and others. It provides flexibility, scalability, collaboration, and achievement of advanced analytics to the business entities.
Besides, it enables the companies to analyze and process Big data to derive business insights, which suit the business objectives and use those for enhancing their level of decision-making, planning, productivity, and success.
What is more, this solution introduces the companies with the capability to visualize data in a custom way, using a variety of interactive and traditional graphs, which to be comprehensible and readable by all the employees in the organization.
The business intelligence provided by Google enables collaboration between departments, teams, and working units by allowing data democratization and data sharing. This allows companies to act in real-time and deploy unified data-driven solutions to instantly tackle occurred problems.
Data lake
This solution enables companies to integrate, store, and use all the Big Data they generate. Google’s data lake facilitates organizations to easily manage their data migration across networks, as well as to store it into a flexible, cost-wise, and powerful storage.
The solution supports the storage of omni-structure and omni-format data, which can be extracted for analytical purposes at any needed time, with full flexibility of data processing, and instant data querying for highly-efficient and quick analytics results.
What is more, Google Cloud Platform enables the integration of data lake with ML to support vast building and a deployment of models in a secure way.
Stream Analytics
This Big Data solution instantly converts senseless data into a structured, purposeful, and valuable tool for decision-making. And it is so valuable because nowadays being up-to-date with the market, company, and industry trends by using real-time data offer a great competitive advantage.
The streaming solution of Google integrates Cloud Pub/Sub, Cloud Dataflow, and BigQuery to deal with complex and voluminous sets of Big Data.
It enables companies to benefit from real-time analytics and data insights, according to the specific up-to-the-minute corporate needs. The data streaming analytics become available to both data analysts and engineers in order to achieve better accessibility and alignment of business strategy across departments.
The stream analytics ensure speed without compromising the quality. Besides, they facilitate the working units to forego any beforehand data planning activities. This stimulates the organization to become more flexible and to be able to quickly respond to changes in the market environment and customer behavior.
Internet of Things
Google Cloud IoT offers a set of tools to connect, process, store, and analyze data both at the edge and in the cloud. What is more, it provides the opportunity for ML (machine learning) and IoT integration in order to ensure solutions to every occurred business need.
Besides, companies are enabled to get real-time business insights, analytics, and visualization of results to make the collected data comprehensible and accessible by every level of the organizational hierarchy.
This solution ensures devices support, network efficiency, real-time location-tracking, information on events, changes, and issues in regards to the business operations and the tangible assets involved in those.
As a result, business entities are offered the opportunity to build smart working architecture and achieve high-grade efficiency and quality of operations.
Marketing analytics
This Big Data solution supports the integration of marketing tools by providing a secure and flexible platform for marketing support.
It helps businesses to create their marketing and sales materials in alignment with the industry trends and changes. What is more, it provides us with a flexible framework to cut the time for product innovation and marketing planning. All that with the goal in mind to achieve sales and marketing strategy, which to be supported by the technology available.
Conclusion: Benefits of Big Data solutions
After delving into some of the Google’ solutions, it is time to look into the long-term benefits, which they provide.
- Improved decision-making and planning process to efficiently face challenges, meet criteria, and achieve goals.
- Understand the different customer groups better, including their needs, wants, and expectations.
- Offer tailored products and services.
- Predict operational needs, such as purchasing, storing, or shipping goods.
- Optimize the usage of resources and achieve cost cuts.
- Improve the effectiveness of business operations by improving productivity, asset availability, and task allocation.
- Instantly recognize issues, risks, fraud, or other danger imposing factors.
