Technologies came into many spheres of life. Enterprises propose goods and services, they manage promotions and advertising, introduce new items via social media, landing pages, and official websites. The majority of transactions is possible to complete with the use of devices (PC, smartphones, tablets).
People can find any information via requests in browsers on PC and smartphones, order deliveries, do shopping, make payments, find couples, search for recommendations and reviews, and so on. We spend a huge part of our time being online, entering messages and looking for different things.
At the same time, the majority of inputs from the World Wide Web are gathered, coded, and can be used for commercial purposes for improving service, adjusting parameters for the target audience, learning market trends. The first task to do for those, who are going to use opportunity and gain from electronic data processing benefits, is to learn the basic things:
Materials that are subjects to the collection?
Things to know before starting to process personal data?
How big data processing looks like?
Several reliable examples of tools/applications to use for electronic data processing?
Main Definitions to Learn About Data Processing
When digital footprints have been explored as a phenomena, it was also explored that they can be gathered and analyzed. However, before any interpreting, the important point is to distinguish between main definitions and stages.
The raw material is useless until it’s represented in the form viable for further usage. The transformation of information into a format viable for further usage fully describes the above mentioned term.
In simple words, it is the huge massive of figures from plenty of sources, that is impossible to analyze manually. It requires complex algorithms to be transformed into reports, and the transformation is called big data processing.
Processing of Personal Data
It’s vital to distinguish between the types of material operated. The processing of personal data is a tricky moment, which must be thoroughly learned, as this aspect is governed by international and local regulations. The first important thing to know is that data is considered as personal in case it allows identifying the certain individual to which it relates. For details, please reach to the UK GDPR (General Data Processing Regulation).
Stages of Big Data Processing
Step 1: Collection
The initial material is obtained from plenty of sources. Thus, there is a risk that some parts of it will have poor quality or contain mistakes. The main point is to ensure the sources are secure and reliable.
Step 2: Preparation
To contribute to material’s usefulness it is necessary to clear it from errors, mistakes, and incomplete points. After this exercise, the inputs processed within the respective systems.
Step 3: Input
Structured and error-free inputs are entered into the application used, which then processes it.
Step 4: Automatic Data Processing
Here the data turns into the selected format: the report, statistics, graphs, or other. The system used allows transforming the material into the intended format depending on the initial purposes like, check the marketing KPIs, learn the demand, present market trends, and so on.
Step 5: Interpretation
When the system produced the reports, they can be analyzed and interpreted by its users (accountants, commercial team, and marketing team). The respective activities are taken in response to the data obtained.
Step 6: Storage
The archiving and secure storage are must-haves for any documentation used and analyzed. Moreover, when it comes to personal data, secure storage is a mandatory requirement according to the UK GDPR.
Automatic Data Processing: Example of Tools
It’s difficult to overestimate the value of knowledge. Thus, when it can be used for improvements, it’s necessary to know how it can be obtained. Below are listed examples of useful applications, which are helpful in this task.
When it’s planned to invest in the new process, the best thing about it is a free trial period. Storm operates at zero costs, so enterprises can feel all the benefits at no price. Among other advantages are simple and convenient usability, fast and real-time operating.
The main advantage of this application is its self-management. It doesn’t require developers’ involvement for optimizing and updates. Thus, users can spend more time on analysis and less time on system administration.
This platform gives advanced statistical and analytical reports. Its interface is modern and full of useful features. The system also supports the data cleaning option and produces ready for usage figures/charts in seconds. Its users also admire the produced charts, which are representative and informative.
Except for high speed and ease of use, Cloudera provides users with the highest security standards in relation to data storage. It can be also integrated with popular clouds like AWS, Google Cloud, and Azure. The difference comparing to other services is in payment terms. The fee is paid for the work done, but not for the period of usage, which makes it cost-effective.
The number of products for assisting in the above mentioned purposes is high. The list with other reliable providers may also include Pentaho, Hadoop, Cassandra, HPCC Systems, CouchDB, Flink, and others. The best way to choose is to read reviews, select several which suit the most to the entity’s specifics, and request for the presentations and trials from the sales representatives. In such a way, it is possible to check the client service from the provider’s side and ensure the selected system will fully satisfy the initial needs.
When it comes to available methods of efficiency increasing the entity should use all of them, if they legitimate. Automatic data processing is what can help stakeholders to get the relevant facts and figures regarding the market, competitors, and potential consumers and to adjust strategy and tactics according to current conditions in a most beneficial way. It is impossible to ignore the potential gain from the valuable information interpreting.