Simply collecting data is not enough, one needs to also ensure its safety, authenticity, and accessibility. A flaw at any of the stages of the data processing not only risks highly sensitive user’s data like passwords but, also results in loss of customers for an organization where such incidents happen. Likewise, in the year 2018, there were around 6,500 data breaches globally, which exposed sensitive information of thousands of people like passwords, personal information, and log files, that resulted in a huge loss for the companies and raised the requirement for a data scientist to look after all such data (Source: CNBC Global Data Breach Report 2019). Taking this discussion further, here we will talk about the top reasons why an organization needs to hire a data scientist and the five ways a data scientist can influence business in the right manner.
Role of a Data Scientist
Before we talk about the major reasons why one needs to hire a data scientist, let’s understand the basic terminologies that are often used in the world of data management. To begin with, we have data management, which is a process of ensuring that one gets the right data at the right time and under the right section. It is focused on the acquisition and preparation of data for carrying out all the activities taking place in the organization. For example, uploading data to the data stores, creating historical copies of files, creating backup and ETL (extract/transform/load) activities. Next is data analytics, which is the process of deriving values and information from the available data, and analyzing the data which is essential for making the right decision at the right time. Next in the list, we have Data Science, which is all about dealing with structured and unstructured data, that comprises of data analysis, data cleansing, and data preparation. Unlike, data analytics, data science is used to keep the data organized and sorted as per their category, and data analytics are used to derive information out of this data and use it for decision making and implementing newer concepts.
We are pretty sure, by now, you would have understood all about data management and now, you all might be curious to know more about the role played by the data scientists for an organization! So, let’s talk about the top reasons why an organization needs to hire a data scientist.
Whether it’s about data collection, deriving facts from the unprocessed data, or studying the data patterns, a data scientist can help out in all of these cases. Thereby, a data scientist can bring a better picture of the user data.
Next, there are some data security techniques like data encryption, data masking, data recovery, and data erasure, which are required to be practiced from time-to-time. These techniques are quite useful for keeping the data secure, controlling the access, authenticating the users, and keeping it safe under all circumstances, and in this frame, a data scientist can play a very important role.
Understand Data Algorithm
Across all the data management techniques, understanding the data algorithms and data patterns is vital to make correct predictions and in this frame, data scientists can play an important role.
How Data Scientists Can Help you Secure Your Data?
It would be unfair to keep the user data for granted as it might hold sensitive information like login credentials, personal details, and such information. Thereby, it is always suggested to employ the best data security methods that would not only ensure the safety of the user data but, will also bring trustworthiness among the people associated with that organization. So, for this data scientists can play a very important role and for those, who have been searching out for data scientists in Singapore, then, there are some of the best data scientists in Singapore to work with! Further, here are the five important data security techniques that are employed by the data scientists to secure your data and impact your business in the right manner:-
Since everything in this IT world is protected via passwords, but at times, it becomes very difficult for the organizations to decide who are to be provided authentication and who should be! So, in this frame, a data scientist can play a very important role. This “Authentication”, which makes sure that the right person gets the right access at the right time. Authentication involves verification of the user against the input made by them in the form of a PIN, fingerprint impression, pattern, and others, and give them permission to access the relevant section accordingly.
Even though after being authenticated, the users are able to access the necessary information, but, still the authorized personnel looks for controlling the access to it. For example, allowing someone to access one part of the data and keep the other part hidden. In this frame, Data Scientists can add access control to that section, which will help the authorized personnel to control the access across all the grounds. There are further, three access modes available, namely discretionary access control, Role-based access control, mandatory access control, from which one can pick, based on their requirements.
Other than authentication and access control, the next thing that is worth considering is data transfer in the most secure manner. So, here data encryption comes into the picture, which involves encrypting all the important data with the help of data encryption softwares. This technique encrypts the normal text into encrypted ciphertext, which is not easy to crack. The data can be decrypted only for the authorized person, using the authentication key, and thereby keeps it safe from unauthorized access.
But, is data encryption enough for securing the data, while it is being transferred over a network? Well, it all depends on the level of security one wants and the data type that is being transferred. For those, who have been searching for a more advanced form of data encryption, then we have the Data Masking method available, which converts the normal text into proxy characters. This data is thereby stored in a hidden form and can only be unmasked by the authorized personnel using the authentication key.
Backup and Update
Data Scientists, very well know that updating softwares is very important, as it protects the system secured against the security threats and data thefts, and thereby, it is essential to keep the system updated under all circumstances. Other than this, in order to handle situations like corrupted files, data breaches, and lost access to the important files, it’s very important to keep a backup of all the essential data files. Well, if you are confused about these, you needn’t worry anymore, just reach out to a data scientist, who would assist you in the best way possible.
Now since an organization collects data from multiple sources. This data is processed and stored to meet the purpose. Now, how if this data gets leaked? How if an unauthorized person gets access to the data? Certainly, it will put not only the organization under trouble but will also put the users’ under huge risk! This data may include passwords, log files, login credentials, and other important stuff! That’s the reason why every organization that processes heavy volumes of user data on a regular basis needs a data scientist. Further, for those who remain worried about managing heavy volumes of data for making the right predictions, data scientists can take care of all! To explore more about it and understand how a data scientist can influence your business in a positive way, raise your concern with the leading data management company, Pixel Softwares, that is having the best pool of data scientists, to assist you all in the best possible manner.