How to get more valuable information by squeezing data analytics

The use of data in the company is growing at a dizzying level. Much bigger than even the most optimistic in the world of business and data analytics thought. Thus, it is expected that in 2025, this growth will be no less than 200 zetabytes. With all the problems it entails. A 57% of company managers recognize that their business cannot keep up with this volume of growth. Also, in view of it, that they are not prepared for the future.

This increase in data brings with it the possibility of obtaining more information that can be crucial for the advancement of a company. Both in innovation and in services to be provided. But also offer data on the security measures that may be necessary to take to avoid attacks and security breaches. And it can only be achieved if the sources that obtain the data are properly connected to the system and configured for the processing and analysis of the data once obtained.

What does this mean? That companies that want to make the most of their data will have to analyze and unravel millions of data entries and pass them into a fabric that unifies them, that is automated and that can be accessed from both the edge and the cloud.

To do this, they must first choose the right data solutions to achieve this, as well as secure and accelerate business data-related workloads. They have to do it efficiently, regardless of where they are located. In addition, they have to consolidate data, which comes from many different sources, and implement agile data analysis to extract useful information from it for the company.

They need to connect vastly disparate, complex, and massive data with workloads from, among other disciplines, predictive analytics. And since speed of insight is also important, they may need an “as a service” model to take advantage of these data workloads.

The best platform to work with data, and modernize your process

HPE ProLiant Gen 11 is ready to meet the demand for data modernization needed to support your growing volume and address your analytics in future-proof enterprises. In many cases, data is going to be one of the most valuable sources for those responsible to make all kinds of decisions. They are generated constantly, and you have to be processing and analyzing them relentlessly. But getting the information you need requires a lot of computing power. Only in this way, and with analytics, will it be possible to extract the key information.

With HPE ProLiant Gen 11 companies will gain efficiency and scalability to accelerate results by lowering the total cost of ownership. These systems offer input and output bandwidth ready to support current and future workloads. In addition, its ultra-scalable architecture allows you to reach up to 33% more GPU density, and the flexibility to run any size big data analytics workload. Both at the edge and in the data center.

Its intelligent data pipeline provides the opportunity to integrate millions of data threads into a unifying, automated framework accessible from multiple points. Each of its layers is independently scalable, from elicitation to display, allowing further customization of insights and decision-making.

The HPE ProLiant Gen 11 is designed with a edge-to-cloud security approach, with an HPE compute core hardened by a proven approach to zero trust security. In this way, working with data will be more protected against the risks of attack and the problems that third-party software can pose.

All this is just a part of what the HPE ProLiant Gen 11 can offer to work with data. All this, added to the portfolio of data transformation services, allows companies to continuously obtain all the information they need to make the most appropriate decisions for their line of business.

If you are immersed in a process of digitization, or if you need to take advantage of the data to obtain more useful information for your company, and you are considering upgrading your company’s servers, or if you simply want to explore what HPE can offer you, do not miss this! technical document!

Related Articles