Data is the beating heart of business in the current digital age. It aids businesses in remaining competitive and generating innovative ideas. If you share this view, it implies that your organization has made data the primary foundation for digital transformation in order to facilitate a variety of tasks, including making better decisions, streamlining processes, and most importantly, enhancing the customer experience.
Nevertheless, implementing the data-driven concept is not as simple as one might assume. The difficulty of reducing the complexity of infrastructure management from the edge to the cloud is the obstacle that causes a company to become entirely data-driven. Aside from this, economic constraints, the absence of a suitable platform, and other unanticipated risks remain significant obstacles to the implementation of this concept.
Even with these obstacles, data-driven modernization can be completed successfully if the appropriate solutions are used to accelerate the process. In this article, we will discuss data-driven modernization and data storage solutions that can meet the needs of enterprise workloads while providing the best cloud experience.
What is it, and How does Data-Driven Modernization Function?

Data-driven modernization is a method for improving processes and systems through the use of data analytics technology. Rather than relying on traditional methods, this process involves utilizing data for business decision-making and change.
Utilizing tools for data analytics to collect and analyze a large quantity of data from various sources is a crucial aspect of data-driven modernization. This includes customer data, operational data, and financial data. Companies can gain insights into patterns and behaviors, trends, and new innovation-driving opportunities by analyzing this data.
Why is Data-Driven Modernization Essential to Businesses?
The application of data-driven modernization provides several tangible benefits. Here are several of them:
1. Accurate and Reliable
Modernization that is data-driven can increase precision and dependability. By relying on data rather than assumptions, businesses are able to make more informed decisions based on actual evidence, which can lead to better results.
2. Increased Efficiency
Businesses can streamline their operations and spend less time and money on manual tasks by automating data-driven processes and using analytics to identify patterns and trends. Consequently, they may be able to concentrate on activities that are more vital and beneficial.
3. Engagement Lebih Baik
Data driven modernization juga membantu bisnis untuk menciptakan engagement dengan pelanggan secara lebih baik, di mana mereka juga mampu memahami apa yang dimau pelanggan. Dengan menganalisis data pelanggan, bisnis bisa mendapatkan insight seperti kebutuhan dan preferensi, lalu menyesuaikan produk dan layanannya. Proses ini tentu akan berujung terhadap kepuasan pelanggan yang meningkat, dan tentunya berpengaruh besar terhadap kesuksesan bisnis.
4. Tetap Kompetitif
Data driven modernization membantu bisnis untuk tetap kompetitif di era digital. Seiring semakin banyaknya perusahaan mengadopsi cara yang data-driven, bisnis harus lebih cerdas dalam memanfaatkan data mereka dan mengubahnya menjadi insight yang bermanfaat.
Apa Saja Tantangan Menjalankan Data Driven Modernization?

Meski menawarkan beberapa keunggulan, menerapkan data driven modernization ternyata juga memicu sejumlah tantangan yang bisa dialami bisnis dari ukuran dan industri apa pun. Berikut beberapa masalah yang berpotensi dihadapi.
1. Gangguan Data Berkelanjutan
Bisnis seringkali mengalami kejadian yang disebut “firefighting“, di mana mereka terus-terusan dihadapi dengan masalah gangguan data dan tuning infrastruktur, ketimbang memiliki strategi untuk mengatasinya. Ironisnya, isu ini berkelanjutan sehingga membuat perusahaan kelimpungan karena belum memiliki solusi yang tepat.
2. Manajemen Kompleks
Selain gangguan data, bisnis juga dihadapi dengan masalah manajemen data yang kompleks, di mana tool manajemen data yang tersebar dan berbeda-beda mengakibatkan tantangan operasional dan inefisiensi.
Selain itu, keahlian domain juga dibutuhkan untuk mengelola data storage di seluruh storage lifecycle–mulai dari deployment hingga provisioning ke upgrade dan data protection. Provisioning workload sering dilakukan secara manual, bahkan sulit dan memakan waktu.
3. Masalah Budget
Dalam menerapkan data driven modernization, bisnis juga mengalami siklus procurement yang panjang dan rumit, memperlambat time to value, di mana mereka juga harus menunggu berbulan-bulan untuk resource storage baru.
Selain itu, budget hardware dan software yang flat dan menurun juga membuat bisnis melakukan lebih banyak pekerjaan dengan sedikit tenaga kerja. Satu-satunya cara untuk mengatasi ini adalah mendapatkan hardware atau software dengan harga yang terjangkau serta membeli produk yang memungkinkan single IT resource melakukannya lebih banyak.
Effective Solution to Accelerate Data-Driven Modernization with HPE Alletra 5000
The Alletra 5000 from HPE is a cloud-native data storage platform that can accommodate mixed workloads, secondary backups, and disaster recovery. It was developed to address a variety of issues that arise during the implementation of data-driven modernization.
Alletra 5000 is constructed with the HPE Nimble Storage Adaptive Flash Array DNA, which promises hybrid storage that is straightforward, dependable, and, of course, cost-effective. With HPE InfoSight, the company’s most advanced AI for infrastructure, you can prevent applications from interfering with performance, and the solution will ensure rapid and consistent performance.
Alletra 5000 is a platform of enterprise class that is guaranteed to be available 6×9 and has the highest data integrity and robustness. With this storage, you can also improve efficiency and reduce costs by a factor of up to 5:1. In addition, this solution is also available as a service via HPE GreenLake. This enables you to forego purchasing and managing data infrastructure and instead simply utilize it.
What Are the Characteristics and Advantages of the HPE Alletra 5000?
The HPE Alletra 5000 supports the acceleration of your data-driven enterprise’s modernization with the following four features.
1. AI Driven
Alletra 5000 is entirely AI-based and is capable of predicting and preventing problems with storage, services, and virtual machines. This capability has the potential to save over 1.5 million hours of lost productivity due to downtime. In addition, the AI-driven Alletra 5000 relies on 99.9999 percent data availability.
2. Constructed for the cloud
Due to its cloud-native architecture and data-driven intelligence, Alletra 5000 is able to automate and simplify on-premise storage management at cloud speeds. This capability renders the underlying infrastructure invisible when operations are completely application-centric and not infrastructure-centric.
With simple device deployment, Alletra 5000 can also be initiated with ease. Having an infrastructure rack, inserting the cable, and connecting the network cable are all that are required. With a few mouse clicks, the new system will be configured and ready to serve data to a variety of application workloads.
3. Consume-as-a-Service
Using Alletra 5000, you can stop owning and managing your own data infrastructure and instead access and manage it on an as-needed basis. It offers a flexible ‘as-a-Service’ consumption model with HPE GreenLake, allowing you to avoid over- and under-provisioning, CAPEX cost barriers, and complex procurement cycles.
4. Flash Performance for Varying Demands
Alletra 5000’s performance is designed for general and mixed workloads and is dependable. It has a flash-optimized architecture, the ability to write to cost-optimized disks at flash speeds, dynamic flash caching as workloads change, always-on data compression that can save up to five times as much space without impacting performance, and it’s simple to scale up without complications.
Read more : Waspada Tantangan Infrastruktur IT Industri Hospitality di 2023
Helios is HPE’s Indonesian Digital IT Solution Provider.
With the HPE Alletra 5000 solution, you can accelerate the data-driven modernization of your business and create the ideal cloud experience with unlimited intelligence, low cost, and straightforward scalability.
Helios Informatika Nusantara (HIN) offers the HPE Alletra 5000. Helios, HPE’s official partner in Indonesia, has experienced and certified professionals available to assist your organization with the implementation of the solution, ensuring that your business avoids trial and error from the beginning to the end of the deployment process. Contact us for more information regarding the HPE Alletra 5000.
Penulis: Jeko Iqbal Reza
Content Writer CTI Group