Understanding the best solution for data analysis is not easy, isn’t that right? Many times managers of industries hire software with high investment cost believing that it will deliver solutions for their greatest daily difficulties, but end up by using spreadsheets or other complementary technologies, yet ineffective. That because software is developed to assist in automation of processes and resources, and data collection, but not directly in analysis.
Managers need to use their feeling and experience in decision making
In other words, managers from different areas of the industry need to use their professional experience as guide for decisions, based on their insights and previous experiences, for not really having a solution that presents quickly and clearly the real scenario of their area.
When we talk about hiring software, we are talking about solving specific business needs with technology support. However, software does not present the functionality of supporting managers in in-depth analysis of data for safe decision making, based on business information, generating results.
All this dynamics complicates efficient planning that work preventively, clear view of points of risks and bottlenecks in their operations, objective monitoring of indicators and even predictability of demands and future scenarios.
Data collected by software, in general, are usually raw material that need to be transformed into information to become powerful tools of managers, and, like any product of common use, also needs to undergo the process of identification of needs, planning, development, and finally the raw material transformation into a value product.
Yet, when we talk about technological innovations in most industries, when it comes to industry 4.0, we notice that many efforts are focused on automation of processes, which, therefore, collect data in an organized way, but we hardly see efficient initiatives of solutions that truly promote significant changes in industries.
Now, let’s imagine these managers that use their feeling and experience in decision making with information from efficient panels, showing clearly what is going on?
Personalized deliveries expand the perception of value
It is common to see satisfactory results and perception of value in deliveries that, soon after implementations, expansions of projects to other needs, or even other areas, plants, and divisions of companies occur. The fact is that managers with correct information obtain even more satisfactory performances.
Benefits perceived by managers that work with data initiatives
Among the main benefits perceived in industries that use data in their operations, the following are outstanding:
- High reliability of information: data transformed into information show, safely and clearly, the scenario of the areas, providing more assertiveness in conclusions and decision making, since such information is created through correlations across the data collected.
- Better use of resources: it is possible to notice, through information, how to best allocate resources, generating better performance and cost reduction, for example.
- Optimization of productivity: optimization of productivity, or processes, for example, is quite common in companies that guide their operation through data. And, because they can observe trends, and easily accessed visual scenario, they can more efficiently see actions that motivate improvements.
- Risk reduction: risk reduction is consistently observed in decision making when there is data analysis in operations, since data transformed in information demonstrate the reality of a given area and how the aspect observed behaves over time. With that, while analyzing and making a decision with regard to a given issue, they necessarily count on concise information, no longer with intuition or experience alone, which reduces risks.
- Agility of analysis: usually, industries that don’t work with data apply in their processes, for analysis, extraction of data from the hired software, and try some paths to generate some sort of visualization, using spreadsheets, for example. This whole process significantly burdens the teams, and doesn’t generate deep and efficient analyses. Companies that work with data analysis, on the other hand, can analyze information through the panels and understand what is actually going on, or future trends, in real time.
- Safe decisions: if the manager doesn’t have clear information, his/her decisions may have floating and unsafe assertiveness level. Due to that, while they notice the sort of problems data solutions solve, they opt for implementing them. In this regard, data solutions deliver concrete information and provide to managers, while analyzing updated panels in real time, safe decision making, adding more intelligence to the business.
These are some of the benefits perceived by partners that opted for improving their technologies and investing in solutions that actually deliver support, safety, and results.
At Dojo, we seek to talk about our clients’ business and, through immersion in their realities, we can assist them in the identification of problems that generate bottlenecks and deliver personalized and co-created solutions.
