Top 4 Trends in Data Analytics on Cloud

Operational efficiency, democratization of insights, speed, scalability, and more — many factors are responsible for enterprises leveraging the cloud for their data analytics initiatives.

Gartner says over 95% of the new digital workloads will be on the cloud by 2025. It would bode well for organizations to ride the cloud wave and reap the benefits of agile, efficient data analytics in the cloud.

That said, here is a look at the top 5 trends for data analytics on the cloud that organizations should watch out for:

1. Combining In-House and the Cloud

   Many organizations now use a hybrid data analytics approach, combining in-house data warehouses with cloud-based data warehouses. This allows them to get the best of both worlds by taking advantage of the cloud’s flexibility and scalability while maintaining control over their data

   Here’s why this approach is immensely beneficial:

   • Organizations can use cloud-based data warehouses for storing and processing large amounts of data.
   • They can use in-house data warehouses for storing and processing sensitive data or data that needs to be accessed quickly.
   • Even though some resources are on the cloud and some in-house, all the data flows into decision-making per a set framework.

2. Ensuring Governance and Security in the Cloud

   As organizations increasingly adopt a multi-cloud or hybrid cloud strategy, the need for data integration solutions that can seamlessly connect data from multiple clouds has become more critical. After all, multi-cloud data integration solutions can help organizations to:

   • Consolidate data from multiple clouds into a single view
   • Analyze data from multiple clouds together
   • Optimize data processing across the cloud environments
   • Reduce the cost of data integration

   However, as organizations collect and store more data in the cloud, the need for robust data governance and security measures also becomes more important. Data governance entails setting up policies and procedures that organizations can put in place to manage their data.

   In terms of data security, different cloud providers have different security frameworks in place that enterprises can leverage. But, they should still ensure their data is safeguarded from unauthorized access, use, disclosure, disruption, modification, or destruction.

3. Speed, Scalability, Flexibility, & Performance

   The need to have agile, efficient data analytics and decision-making in the cloud is imperative for most organizations. Every enterprise needs real-time insights to respond quickly to changing customer behavior, market conditions, and so on. This requirement for speed drives organizations to prefer data analytics on the cloud as it offers:

   • Acceleration of time to value
   • Manageable data storage and processing levels
   • Flexibility to scale the initiative up or down as per requirements
   • Optimize performance for quicker decision-making

   Besides, data analytics on the cloud allows enterprises to bring analytics a lot closer to the actual point where the decision needs to take place.

4. Data Democratization & Self-Service Analytics

   In a recent survey of 3,500 decision-makers, more than 50% of the companies said that they were data-driven. Indeed, today’s enterprises want every team to be data-driven; they want to empower their team members with insights and analytics to make informed decisions. This is the reason why enterprises need data democratization – which refers to making it possible for individuals and teams to build knowledge from their data without having their hands held by IT specialists.

   This also spells a new era of self-service analytics, where enterprises can empower their non-tech teams to leverage intuitive dashboards and visualizations on the cloud to easily derive insights from their data. The result? More time to analyze and make faster, more valuable decisions. This way, enterprises can lower the hassle around post-mortem analysis whenever a vital decision is missed.

How Can Ellicium Help?

Cloud’s ability to drive enterprise-wide agility is beyond question. However, organizations must ensure that they have the right technology and expertise in place to handle their data analytics needs. This is where Ellicium comes in. At Ellicium, we use the cloud to provide a truly flexible and scalable data analytics platform. We help enterprises by:

• Assessing their data landscape and coming up with a concrete roadmap for selecting the appropriate cloud platform, creating a scalable framework using cloud BI, data lakes, etc., and efficiently migrating the requisite data.
• Helping them combine in-house and cloud resources so that they can accommodate analytics on the cloud without getting stuck in migrating all the data.
• Bringing the power of machine learning to the mix to advance their analytics and business intelligence initiatives.
• Managing the data storage, data integration, data governance, and data security aspects of their analytics initiatives.
• Creating custom analytics solutions that are tailored to an enterprise’s unique requirements.

In short, we streamline and simplify the entire cloud-based data analytics process, ensuring utmost ease and convenience for our clients. Feel free to get in touch for more information.