The Importance of Applying Data Analytics to Optimize Business Workloads in the Hybrid Era
Data analytics is one of the most popular technology terms today. Businesses of all sizes and industries are starting to use data analytics solutions to manage their data. The reason is that the large amount of data both in terms of quantity and type that is generated every day makes conventional ways of managing data irrelevant.
The role of data analytics is now no longer just analyzing data. What’s more, data analytics can provide many benefits to businesses, including optimizing their workloads that are highly data-intensive and fully data-driven. However, managing data is not an easy job. There are various challenges that companies must overcome in managing data.
This article will discuss everything about data analytics, and how the ideal solution offered by HPE in implementing data analytics can help businesses aggregate, modernize, and of course analyze data, both from the edge to the cloud, wherever the data is stored. For more details, see the following explanation.
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What is Data Analytics?
Data analytics is a technology for analyzing raw data, enabling businesses to draw conclusions from that data and improve their systems. Evidently, many companies that utilize this technology can make strategic decisions faster, better and more accurately.
In terms of terms, data analytics can also be interpreted from various application sets, such as Basic Business Intelligence (BI), Reporting and Online Analytical Processing (OLAP), as well as a number of other analytical features. Thus, data analytics can be interpreted as a simple process of business analytics which ultimately aims to help companies optimize their workload performance and operations.
Why is Data Analytics Important for Business?
With accurate data analysis capabilities, data analytics is needed by businesses because it can help them achieve a number of things, such as increasing revenue, increasing operational efficiency, more optimal marketing methods, more agile responses to market trends, and of course improving business performance.
Usually, the data that has been analyzed, whether it contains history or new information, has been processed according to user requirements in real-time. In addition, data analytics can also contain various data sourced from internal and external sources.
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What are the Benefits of Data Analytics for Business?
Data analytics has a number of benefits perceived by businesses. Here are some of them.
Better Business Decisions
Data analytics can turn available data into valuable information, thereby helping businesses make better decisions. Of course, this benefit can be a big advantage because the business will always have the best and guaranteed decision to avoid risks such as financial losses.
Improved Efficiency
Data analytics can help businesses analyze large volumes of data and show analytical insights to the entire team, where they will have a holistic view of what work needs to be done and prioritized, thereby increasing the efficiency of the entire company.
Product and Service Quality Improvement
Data analytics can help businesses improve the quality of their products and services as well as their user experience. By taking the analysis of the data they have, businesses can find out various things to improve products and services, such as knowing how customers interact.
Who Can Use Data Analytics?
Data analytics can be used by businesses of all sizes and industries. retail, travel, hotel, healthcare, and manufacturing and so on.
The difference between Data Analysis and Data Analytics
These two terms are widely used in the world of technology, but actually have different meanings and purposes. As already explained, data analytics is a common form of analysis used by businesses to make data-driven decisions.
Meanwhile, data analysis is a more specific form of data analytics, where businesses use to analyze data and retrieve some information. Generally, data analysis consists of the process of defining data, examining and cleaning data, and transforming data to provide more useful results.
Thus, these two methods have a different structure, where data analytics can explore and analyze things and potential that can be done in the future (such as market trends, customer preferences, new industry patterns in the future), and data analysis analyzes on data from things that have happened in the past.
It’s Time to Implement Data Analytics More Effectively with HPE Ezmeral
It’s time to manage and transform data analytics for your business with HPE Ezmeral, a dedicated platform that optimizes your data workloads and helps you aggregate, modernize, and analyze all your data, wherever it resides from the edge to the cloud.
HPE Ezmeral’s portfolio includes orchestration and management, AI/ML, data analytics, cost control, automation and AI-driven operations, and security. This portfolio of features allows your business to increase speed and efficiency, and create more innovation.
The three advantages offered by HPE Ezmeral for managing data are as follows.
Consolidating Data and Application Modernization
The industry’s first Kubernetes-native object storage optimized for high-performance analytics to accelerate data modernization from edge-to-cloud.
Consistent Experience
One platform with a broad selection of machine learning and analytics tools.
Free and Flexible
The industry’s first hybrid Machine Learning and analytics solution that enables businesses to scale data lakehouses on-premises.
Get Ezmeral’s HPE from Helios
Get HPE Ezmeral from Helios as HPE’s IT Value Added Distributor in Indonesia. Helios is committed to continuing to support and develop with business partners. The Helios offering is always complemented by the support of experienced and certified engineers to assist businesses from various industries in implementing IT solutions including data analytics. For more complete information about HPE and other solutions, you can contact [email protected].
Penulis: Jeko Iqbal Reza
Content Writer CTI Group