Data as a Service
Data as a service, also known as DaaS, distribute information via a network system, usually through the internet.
DaaS encompasses a range of data that is made available for enterprises for their utility. Through Daas, information is made accessible in various forms, i.e. texts, sounds, images and videos.
DaaS uses a cloud-based technology that supports service-oriented architecture ( SOA ) and Web services. The data stored in cloud services are made accessible to clients through different devices. The vendors providing Data as Services are responsible for keeping, cleaning and converting it to usable information.
Thus enterprises purchase data as services as a product for themselves.
Examples of Data as Service
Often enterprises have access to tons of information about customers but utilising this data for the best advantage is not everyone’s expertise. Therefore, DaaS providers make the data work easy and reliable for enterprises. Here are some examples of Data as Service that companies purchase from data service providers, or a specialised unit within an enterprise performs those tasks.
Data as a Service includes analytics, cloud database services, content management, networking, storage and many more. Through big data and analytics data service providers helps smalls start-ups and students as well with cloud and networking facilities for them to take their place in the market.
Secondly, data service providers give enterprises a platform for data warehousing, machine learning, analytics and data engineering. Additionally, DaaS providers also facilities enterprises to detect and prevent cybercrimes. DaaS is used to design software to facilitate customers with instruments to resolve issues concerning finances, logistics and human resources.
One example of DaaS is that if a public health care unit wants to introduce health care projects, they can use software that store aggregate patient data from hospitals. This kind of software can provide a large amount of data and tools for analysis. Based on those data services, public health care units can predict diseases and illnesses in the given population. Thus better policies to tackle those issues can be designed. The software data analysis can further be utilised for quality and assurance.
Benefits of Data as a Service
As digital presence has become one of the inevitable realities for business, DaaS makes the business process much easier and convenient. With Daas, data is easily manageable and transportable across multiple platforms. Even within one organisation, different departments have access to one centralised unit of a database. It makes the use of data practical, and correspondence across business sectors become simplified.
A centralised database is also great for quality control. With Daas, there are fewer duplications, and data management in a single unit is much more suited. It also saves the business from any potential conflicts which could emerge in case of data duplications.
Companies provide solutions to businesses based on available data saves individual companies an enormous amount of cost and time. Not every organisation is a data expert, and by availing DaaS providers’ services, these companies are not in danger of being left behind in the market. Thus, DaaS is beneficial for the cost-effective and efficient growth of enterprises.
Through availing of DaaS services, companies can become aware of their competitors. It provides start-ups with a complete picture of how the market looks when aiming to enter the market. It helps both established companies and new start-ups to become aware of their customers. Furthermore, there are DaaS providers who can help organisations to be safe from cyber pulling and crimes.
Challenges of Data as Service
The main underlying challenge for Data as Service is around data governance. There are privacy and security issues when an organisation has access to an enormous amount of cloud data. The concerns are often around the data when stored in a cloud, which can pose security threats. The traditional storage of data might not expose enterprises to outside cyber issues.
At the time, because of the sensitivity of the data, companies are compliant with government-imposed restrictions. Besides, to ensure the safe use of data, enterprises have to go through bureaucratic formalities. Companies are often required to base their cloud in certain countries to comply with laws and regulations.
Lastly, data shifting into clouds can be time-consuming. Depending on businesses’ requirements to update and move the data, it can be a daunting process.
Future of Data as Service
According to data experts,’ companies will rely more and more on DaaS to gain competitive advantage in the market. With businesses ensuring their digital presence rapidly, it seems that the DaaS market will expand exponentially. The DaaS market will also be growing because organisations and enterprises see it as a more suitable way of managing critical data.
Thus, in a world where the mood of production is rapidly changing, DaaS becomes the new production reality. As the developed world has shifted greatly to the service sector, data is inevitable for many sectors making DaaS inevitable.