In today’s digital age, the amount and availability of data is growing rapidly. This development is driven by advances in digital technology, such as connectivity, mobility, the Internet of Things (IoT), and artificial intelligence (AI). Big data is a collection of very large and diverse data, consisting of structured, unstructured, and semi-structured data. This data is constantly growing over time. Its enormous volume, speed, and variety make it difficult to process using traditional data management systems.
Raw big data in large quantities has no value if it is simply collected and presented as it is. The important information and business insights within the data will not be automatically revealed. Therefore, this data needs to be transformed into reports that are easy to understand by the management. The right tools are needed to process data in detail and on time.
Reports generated from this process should present useful analysis to support decision-making. Big data is used in machine learning, predictive modeling, and other advanced analytics to solve business problems and make the right decisions.
Characteristics of Big Data
The definition of big data may vary slightly from one source to another. However, the term is always explained based on its characteristics, namely volume (large data size), velocity (data growth rate), variety (variety of data types), veracity (data accuracy), and value (value that can be generated from data).
Volume
As the name suggests, the most common characteristic associated with big data is its high volume. Enormous amount of data is continuously generated from various sources. If the data is too large to be processed, sampling techniques can be used to determine data samples that represent the business conditions to be processed.
Velocity
In big data, velocity refers to how quickly data is generated. Nowadays, data is often produced in real-time or near real-time. As a result, the data also needs to be processed, accessed, and analyzed at the same speed to have a meaningful impact. There are various levels of data acquisition, namely: Ad-Hoc (as needed), Batch , Near Real-Time, and Real-Time.
Variety
Data is heterogeneous, meaning it can come from various sources and can be structured, unstructured, or semi-structured data. This diversity of categories adds complexity to data processing.
Veracity
Data quality and accuracy are crucial. The higher the data veracity, the more reliable the data. Therefore, it is necessary to determine an acceptable data deviation standard. This standard will aid in the data sorting process, so that high-quality data can be separated from low-quality data.
Value
It is essential to determine the business value of the data you collect. Big data should contain the right data and then be effectively analyzed to generate insights that can help drive decision-making.
When is Big Data Needed?
Utilizing big data is like exploring an ocean of information. However, in its application, preparation is key. Implementing big data requires a solid foundation, both in terms of qualified human resources and adequate hardware infrastructure. Not to forget, significant funds are also required to apply this technology.
Therefore, companies need to carefully consider before diving into the world of big data. The question is, when is the right time for a company to start considering big data processing?
Slow Query
The larger the data, the slower the traditional data request process. if this hinders your business processes, then a big data solution with high computing capabilities is needed to process large data quickly.
Data Analytics
For companies that require advanced data analysis, big data can process and transform data into conclusions or a series of facts that are easy to understand. This can help companies make more accurate and strategic decisions.
AI Development
If a business wants to utilize AI technology, the data it owns must first be cleaned and organized. AI learns through a machine learning process that is only effective with structured and organized data. AI development cannot process unstructured data. Therefore, organized data resulting from the big data process is needed for AI to learn. After that, the data can gradually be handed over to AI to handle.
Big Data Preparation
What needs to be prepared in developing big data?
Data Security
Big data consist of a very large and valuable information, so it needs to be protected from various potential threats. Utilize security facilities such as WAF (Web Application Firewall) and AntiDDoS (Anti-Distributed Denial-of-Service) offered by cloud service providers. Implementing strict access controls to limit data center access to authorized personnel can also improve data security.
Operational Cost
Big data development requires significant investment, both in terms of human resources and hardware. Companies must prepare funds to hire and train expert staff in this field. IT infrastructure also needs to be built to accommodate processing.
Scalability
Businesses need to be able to anticipate changes in data volume. This can be done by providing the right resources, which means not being excessive when data volume is low and not lacking when data volume is high.
Data Visualization
Companies need to prepare tools to visualize the results of data analysis. Data can be displayed in the form of easy-to-understand graphs within an interactive dashboard.
Platform for Orchestration
The development process of this technology will be more efficient if it is automated. Thus, the IT team does not need to spend a lot of time coding and configuring.
Curious to learn more about big data applications and examples? Find the answers in Big Data: Applications and Examples.
Contact ACS Group
ACS Group (PT Autojaya Idetech and PT Solusi Periferal), established in 1992, is a trusted professional company that has provided tailored solutions to thousands of enterprises across Indonesia.
We offer a comprehensive suite of cutting-edge solutions, encompassing AIDC, IT Infrastructure, Enterprise Security Systems, and Enterprise Business Solutions. With four strategically located branches in Cikarang, Semarang, Surabaya, and Denpasar, we are committed to delivering close and personalized service to our valued customers.
Contact us today via our Official WhatsApp +62 811-1944-534, Email sales.admin@acsgroup.co.id or, visit our website www.acsgroup.co.id to explore how ACS Group can help you enhance your business efficiency and productivity with Big Data implementation.
