By: Anil Kaul
Pick up your smartphone and you see the number of calls, texts, and notifications you receive not just daily but hourly. While at work you send email attachments of various sizes. You go to a supermarket and the cashier scans the food item into a digital system tracking sales, revenues, and costs. Now, you must be wondering why we are referring to these examples?
The reason is simple that is we are trying to quantify the amount of data we are surrounded by. Moreover, several organizations worldwide are dealing with extreme volumes of data on a daily basis. In fact, it’s estimated that by 2025, 463 exabytes of data will be created each day globally.
This is where cloud technology is playing an important role. It is the core of data processing and analytics across all major industries. The cloud is becoming the default for new data warehouse implementations. And cloud-centric ELT tools make it simpler than ever to load events and files to those cloud data warehouses. However, only 24% of organizations have succeeded in becoming data-driven. Why so? It is because the potential to truly unlocking its value still remains elusive for many organizations.
Against such a backdrop, let’s look at three reasons why you need cloud analytics for your cloud data warehouse.
Saves Valuable Time on Implementation
Moving to a cloud data warehouse isn’t a cakewalk. Data is a valuable asset for any organization and making such a bold leap requires research, time, energy, and conviction. At the same time, after evaluating the best solution for your needs, you’ll want to get your selection into the hands of business users as quickly as possible. It is because data leaders don’t waste time on tedious and piecemeal implementations of desktop analytics solutions requiring on-premises servers. Rather, organizations need cloud-first analytics solutions that natively connect to cloud data warehouses. Cloud analytics solutions are inherently built to complement the speed, velocity, and data volumes of your cloud data warehouse. And just like your cloud data warehouse, cloud -based analytics solutions can stand up and scale out to new departments within minutes. Hence, you can quickly begin utilizing your data for bottom-line impact.
In addition, the right cloud analytics platform should also allow you to flexibly work with multiple cloud data warehouses. This portability of insights not only helps maintain control over your data and vendor lock-in of your data, but it also allows you to deploy new use cases quickly throughout the business in multi-cloud environments.
Make Your Cloud Data Accessible to Business Users
Connecting people and processes with cloud data warehouses is essential for organizations looking to unleash tangible, meaningful value from their cloud investments. While technology is one piece of unleashing the transformative potential of cloud data warehouses, your people are the other. Sometimes the gap between introducing any new technology and ensuring its adoption also becomes an impediment to deriving value from your cloud data warehouse investment. So to make your data as accessible as possible for as many business users, give them a cloud analytics solution that understands business questions and functions just like the mainstream applications they use daily in their personal lives.
Additionally, the consumer-grade experience makes it easy for new users to get started immediately. Plus, if you ever expect to see a return on your cloud data warehouse investment, you must address the consumption conundrum first. Modeling data for search against your cloud data warehouse unlock billions of rows of data you have stored, and instantly makes them usable, visual, and interactive.
Embrace Search, AI, and Other Revolutionary Technologies
When it comes to data cloud data warehouses are clearly a major step into the future. To truly realize their potential, however, organizations need to rethink the entire data and analytics stack. The traditional tools weren’t built for the scale, speed, or variety of data that cloud data warehouses were or to fulfill your business user’s needs. However, this is changing. Technologies like Artificial Intelligence, Machine Learning, Automation, and Natural Language Processing, etc. are redefining what’s possible, and clearing the path from your data to your users. Search-driven cloud analytics platforms sit directly on top of your cloud data warehouse, eliminating the brittle publishing pipelines that exist between your data source and your data users. This helps ensure the integrity of the data in your cloud data warehouse and creates consistent data quality through automated data preparation, analysis, and insight generation.
Having said the above reasons, it is important to note that launching a cloud data warehouse is a massive milestone for any company on its cloud transformation journey. And taking this leap requires leaders to rethink how they’re using their data. With emerging technologies, organizations can leverage these innovations to redefine what’s possible with data. So, get ready to level-up on your cloud data warehouse.
(The author is Co-Founder & CEO, Absolutdata and the views expressed in this article are his own)