The hard work that is done inside the store is not enough to be the best, that’s why new Business Intelligence Trends have emerged for this 2019, designed to help you succeed Discover what they are!
First of all, we must make clear the meaning of the term Business Intelligence (BI), which offers the possibility of observing in detail the past of the company through analysis and reports, this occurs from the historical information of the business.
The vertiginous changes that business presents go hand in hand with technology, which is why it is necessary to constantly review business intelligence trends, because what used to work, today may not be so useful.
Below we detail the top 5 business intelligence trends for this 2019:
1. Artificial intelligence
We should not fear artificial intelligence, and although traditional learning has been questioned, it can contribute enormously as the best assistant any analyst can have.
For example, linear regression of data can be a very complex task if you do not have the right technology, but thanks to artificial intelligence in a matter of seconds it is possible to obtain the desired results.
Among its contributions to business intelligence stands out, the increase in efficiency, giving the analyst more time to think about the implications of his company, as well as the next steps to follow.
2. The impact of the humanities
The simplification of the analysis work achieved through the use of technological platforms has allowed almost anyone to handle data without needing to be a specialist in the technical area.
Given the limited availability of people working in data management and the increasing use of data by companies, opportunities have been given to professionals from humanities studies. This has generated an impact on organizations since most data managers are humanists who will help companies to discover that through the training of personnel it is possible to achieve greater competitive advantages.
The impact of this trend of BI can be measured in the fact that large companies in the technology sector are successfully led by graduates of the humanities, such as PayPal, Slack, Pinterest and Linkedln.
3. Natural language processing (NPL)
This trend corresponds to the possibility of accessing the information of the required data through the use of speech recognition technology, which is estimated to become massive in the coming years. By 2020, it is estimated that 50% of analytical queries will be generated through this type of search.
It is projected that the use of these natural language processing tools by the year 2021, will lead to more than 50% of companies investing more per year in the creation of robots or “chatbots” than in the development of a traditional mobile app.
4. Simultaneous use of several clouds
It is estimated that 70% of companies will choose a multi-cloud strategy to host their data by 2019, which is far from the 10% it currently does. This is because there is a growing rejection of the idea of limiting itself to a single legacy software solution.
However, a strategy of several clouds could affect the purchasing power of your company, but despite this, the multiple uses of clouds are increasing. In many cases where this system is used, one of them is left as a backup in case the main environment has errors or does not work ultimately.
5. Data assurance
Today, data are considered as underlying assets, so in case of leaks, they can be considered a threat with devastating consequences of irreparable damage to the brand. But when considering data as a product implies that its value will increase. This is because this raw material helps companies get more sales and can alert the competition in relation to the next strategies to implement.
In today’s commercial activity it is necessary to innovate, and this becomes possible by keeping up with business intelligence trends through which new processes are established that facilitate access and management of data.
Recall that the current trend is based on data-driven stores, which is possible through the collection of information on customer behavior and consumption habits, using advanced data-driven solutions.