The term Big Data refers to the large amounts of data in which traditional data processing procedures and tools would not be able to handle.
Big data is too voluminous that without the use of a computer, and a data processing application, you just cannot make any sense out of it. But with the right data processing application that can effectively capture, store, analyze, and present big data, your business will just be able to have the capacity to see trends on your sales and your expenses, what steps you can take in order to positively influence such trends or control negative occurrences.
Big Data is Everything and Anything
Businesses can make a lot out of big data, making it an important resource, much like oil, that you have to dig into and use what you can get. But unlike oil, big data is not hard to find; big data is all around us and involves all facets of any activity, most especially businesses. Data about sales date, sales amount, inventory, payment method, payment amount, customer information, and all other pertinent information that are involved in a transaction all flow and fill up a reservoir of data and it is the business role to interpret these data and make decisions that can affect higher income generation.
For example, with an accurate data processing tool, you will be able to reconcile individual sales transactions against their corresponding payment (whether it be cash, check, or debit card, credit card, gift card or whatnot) to ensure that no product that comes out of your store is unpaid, which will also ensure that you have no losses in your income.
Moreover, it will also be easy to find which transaction have issues should there be discrepancies. Businesses can also compare the sales of different branches of its stores and see where there is a need to expand or to close. There really are a lot of knowledge that you can obtain by tapping into your pool of big data all you have to do is find an effective tool that can help you put big data to use.
The Big Catch: Big Data Targeted by Hackers
Big data is so useful and important that crooks have made efforts to tap into it as well, so they may use it for their own evil purposes. That being said, there are a couple of issues with big data. We are here to help you know them and how you can address them so you may prevent criminals from gaining access to your big data and cause all sorts of mischief.
The following are the 10 Big Data issues and how you can solve them:
1. PRIVACY BREACH
We listed privacy breach first as it is the biggest issue in this list. It refers to the release of otherwise private information to persons who should have no access to it, whether it be done deliberately or mistakenly. Privacy breaches occur may occur when a business employs weak security measures. Although the hacker is still primarily liable for the act, it could have been prevented should there have been stricter tools and protocols that safeguard privacy.
To combat privacy breach, invest on a quality anti-malware software, provide a point of entry security (such as encryption or tokenization), and employ secure connections from your data collection system to your data storage system.
2. ITD BE IMPOSSIBLE TO BE ANONYMOUS
It is now possible to re-identify individuals using anonymized data in public datasets. With a computer, an internet connection, and public datasets, you can now re-identify a supposedly anonymized data. The process is not easy, but still, the thought that it is possible opens an opportunity for identity theft. Should more people learn how to do this, it will be impossible to keep a private presence online.
3. ANALYTICS ISNT 100% ACCURATE
In research, there is this thing called the margin of error or that leeway for miscalculations, exceptions, and other factors that cause a relatively dismissible amount of error. Analysis of big data is not immune to it, especially because of the involvement of a very large amount of data. As it is very difficult, if not impossible, to check the analysis manually, your best bet to ensure that your analytics will not provide gravely inaccurate data is to use a trusted data analysis tool that guarantees the highest level of accuracy.
4. E-DISCOVERY PROBLEMS
E-discovery refers to the search of electronic data for use as evidence in a legal proceeding. Court and the even the Government can order e-discovery in the form of a hacking activity to aid the search of critical evidence. Electronic evidence is much more easily to be searched and collected. However, it is now more difficult to search for electronic evidence because there are lots and lots of data and that it is difficult to comply with legal restrictions. Furthermore, e-discovery is now more expensive than ever.
5. YOUR PERSONAL INFORMATION IS AT RISK
Data breaches involve the disclosure of customer information to people who would otherwise have no access to such sensitive information. With all the recent breaches, some involving Social Security numbers, home addresses, email addresses, contact information, debit and credit card numbers, your personal information is really at risk.
As a business that makes use of a multitude of data, make sure that you protect the privacy and security of their personal and sensitive information.
6. DISCRIMINATION
Tapping into big data is said to make discrimination more prevalent. Being able to access electronic information (like usual online activity, online preferences) that could negatively affect the opportunity of a person, say, to secure a loan, and without that persons ability to justify such information is said to be highly discriminatory. It is best not to make decisions plainly out of electronic data, especially those that have an immense impact on someone.
7. LEGAL PROTECTIONS ARE ONLY FEW FOR INVOLVED INDIVIDUALS
There are few legal protections that secure privacy on the analysis of big data. The Government has already recognized risks to privacy, but there are not much action taken to address by virtue of the passing of laws. We will have to wait for our legislators to do their duties, but we can always express how important this is.
8. PATENT AND COPYRIGHT MAY BE IRRELEVANT IN THE FUTURE
Patent and copyright may be irrelevant in the future because it will be difficult to verify whether something is unique or if it infringes copyright because there are lots to check them against, and that some data repositories and some of these data repositories will be hidden, or protected with thick virtual walls that restrict access.
9. INTERPRETATIONS CAN BECOME AN ETHICAL ISSUE
The biggest purpose of analyzing big data is to help in coming up with decisions. However, relying only on electronic data, without much concern on its impact to people or the environment, can become ethical issues. We must learn that big data is here to aid us and not command us. Our decisions should always be based on how it will affect everyone involved, and not solely on numbers on a spreadsheet.
10. BIG DATA IS HERE TO STAY
Again, big data has always been around us. It has evolved at the same time that civilization did, so it is still evolving. And now that we have learned to tap it, big data will not be taken for granted anymore. There may be risks and issues involved, but nothing of this world has no risk. Tap big data, use it in your favor, make the most out of it! But just make sure that you are doing your responsibility in keeping your big data private and secure.
Take Advantage of Big Data, But Dont Underestimate It
Being able to tap into big data is a true innovation. We are able to consider all facets of our business by interpreting everything involved. Big data truly is a valuable resource that we must tap it, but as we do, we must always consider the issues and risks that come along with it.
When your business taps big data for your utility, make sure that you always keep in mind these 10 issues, and do your best to address them. Big data is a wonderful thing if and only if we know how to use it properly.
