Thanks to technological advances of recent times, large volumes of data or big data are Encroach gradually in the day to day business transactions and general operation of companies. The possibilities offered by the analysis of these massive information repositories are truly amazing and will undoubtedly end up transforming both the internal functioning and the structure of the companies much earlier than expected. This article gives you the list 10 of these possible changes or ways in which big data transform businesses.
Improve business intelligence
It is called business intelligence toolset data analysis that allows better analyze a business. Until recently, the possibilities of analysis of these tools were quite limited, also providing limited answers. However, this is changing.
With the recent development of tools able to analyze large data repositories or big data and the growing accumulation of information due to new factors such as the arrival of the Internet of things, the increasing use of social networks and the widespread deployment mobile devices in all areas of our life, business intelligence has emerged as a future profession, able to analyze a business in depth and giving extremely accurate and enlightening to very different questions.
For example, identify the most valuable customers are a large multinational with hundreds of millions of customers, or how to improve care for each of clients with personalized based on their tastes and interests offers.
The new tools of analysis of big data allow to examine a wide range of sources of very diverse data, which provide both structured information, such as purchase histories, CRM data, the data transferred by third parties (eg, card companies credit), etc.; and unstructured information such as that obtained from social networks, blogs, videos, etc.
It may make better-targeted marketing campaigns
One of the most obvious achievements the analysis of big data is the possibility offered to design better-targeted marketing campaigns. As mentioned in the previous point, the analysis of these large data repositories enables businesses to know their customers much better, tastes and interests, work, family and / or economic status, etc. And this very detailed knowledge greatly facilitates the work of the departments of marketing, who can use this information to design marketing campaigns perfectly adapted to the needs of each customer segment.
The customer service will be more proactive
The analysis of big data completely transform the customer services of companies. Among other things, because of this deep knowledge of customers, their interests, and needs, allow companies to know exactly what the customer needs even before this express it directly and demand arises. Thus, companies can anticipate the requests or customer complaints and solve possible problems, offering a product or make an offer that meets your needs even before the customer asks.
Tailored to customer needs products will be designed
That deep customer knowledge obtained from the analysis of big data, also influence hopelessly in product design companies, since there is nothing better than a product that meets a need band and, by analyzing of big data, companies can know in advance the needs of its customers, both present, and future. Tailor products to the needs of customers in the design phase will save a lot of money to businesses and improve their income at the stage of commercialization. It will also enable the company to achieve higher levels of customer satisfaction and increase thereby its prestige as a brand.
The analysis of big data also allows to improve product design continues so depending on how they evolve the needs of customers or potential problems detected. For example, sometimes a product that seems perfect does not achieve the expected success to reach the market. The difficult thing in these cases is to find out why. And that is where the analysis of big data, which through detailed usage tracking customers make the product, allows us to identify if there is a design problem.
Greatly improve the efficiency of processes
Companies are made up of processes:
- processes of design,
- communications, etc .;
and the task of industrial engineers study these processes in detail to achieve higher levels of efficiency in each of them. However, for this study, the key is the data. The arrival of the analysis of big data sets in their hands a valuable analysis tool, greatly increasing the chances of further development and improvement in the efficiency of these processes.
Costs are reduced
The analysis of big data provides companies with valuable information on various aspects of their business and that information often reduces costs.
For example, some of the things we have already mentioned, such as improving the product in the design phase thanks to the deep knowledge of customers and ensure that business processes are increasingly efficient, can afford to save money on costs the company.
In addition, some companies are already using big data to identify trends and predict future events in their respective sectors that could affect their business. Knowing what will happen in advance allows them to anticipate events, seek solutions to possible problems with time and improve forecasting and planning. That obviously also reduce costs.
Crucial decisions will be made in an informed manner
Information is a fundamental tool in making decisions. However, many companies still rely making important decisions solely on intuition or experience of its CEO. Obviously, that hunch may work, but may also take the company to an absolute disaster. In the coming years, with the advent of big data, it will completely change and good CEOs will be those who make their decisions after conducting a thorough analysis of all available large data repositories.
It will create new business processes
The combination of analysis of big data with the ubiquity and immediacy of mobile devices will completely change the way we do business and will need to redesign the internal processes of the company. Will be new processes and others will be modified or disappear. The chain internal communication will also be affected. The employees and directors of the company will have all the information they need in real time wherever they are and will be possible to develop new tools that combine these and other technologies today, such as artificial intelligence and the machine learning, to improve performance.
For example, a transport company can develop intelligent tools to automatically manage the deals most effectively from stringing collection and delivery for each delivery achieves the lowest course in the shortest time possible, to anticipate possible traffic congestion on certain routes to certain times of day or devise a new route in case of an accident occur collapses the usual route.
Departments will arise data
The arrival of the big data not only change business processes but also the departments. Some departments require more staff than required today, others will need less and the data will reach such importance that requires an independent, own technology department Department.
Some companies have already begun creating this data Department is under the supervision of the Director of Data (CDO), a specialist executive director of analysis, processing and data mining, reporting directly to the CEO.
In addition to analyzing these large data repositories, also must be protected. A security breach can cost millions to a company, so it is essential to avoid it. In these departments data, cyber security acquires a critical role. Proof of this is that some large companies have already begun to incorporate famous hackers in their workforces.
The analysis of big data will tends to be outsourced, hiring him as a Service
Create a giant department big data internally capable of storing petabytes of information in long lines of powerful servers and hire a team of scientific data is not available to any company. However, having this information will be essential for a company, so many have to resort to outsourcing, hiring third – party services specialists in this field.
Obviously, it will not be cheap, but much more affordable and viable option to manage internally. In addition, there will be another option. That is the question that companies will no longer be whether or not they can afford to hire the services of an expert in big data, but how much can you really afford not to.