Actionable and accessible data: relevant informationq

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How to achieve actionable and accessible data that results in relevant information for the business at all times? We tell you in this article.

Data Lake: Overcoming the Limitations of Data Warehouse

In the era of Big Data and the circulation of large volumes of information from diverse sources, there is one key aspect to consider when evaluating the direction of investments: the disorganization and poor quality of data. Working with errors and inaccuracies in information creates problems that negatively impact company management.

For some time now, the concept of "cleaning" processed data has been architect database ground, as have notions about how much time (and money) this work takes for data scientists. When we talk to our clients, their answers lead us directly to the importance of automated data management to achieve data cleansing through the use of artificial intelligence , among other possible alternatives.

Many people are still unaware of this data quality problem , or they spend a huge amount of time and human resources trying to remedy this shortcoming. Efforts must be intelligently directed towards preparing data so that it is actionable and accessible, and results in a network of information relevant to the business at all times.



HubSpot BLOG

The need to invest in technological aspects is becoming more and more widespread among those responsible for information systems, to the point that by 2022, 59 % of CIOs expect to increase their technological budget.

Source: Foundry Co



Actionable data
We are referring to the possibility of making 2022 a year in which data is more easily processable and, in that sense, the use of big data for the analysis of business aspects is made more dynamic and simpler. Although a company can invest in high-end Big Data software and tools , the data itself is useful if we can analyze it and it is within our reach, albeit in an unstructured, multi-format and voluminous form.

Today, companies can focus on analyzing all this information to create business decisions around it: the results obtained based on data will be strategic allies in business decision-making, in process improvement and in general organizational planning.



Accessible data
It follows from the above that it is time to work with accessible and unified data. The construction of data lakes and other flexible storage environments was a priority until now, but in recent years much of this critical data began to be hosted in environments that are more accessible with the possibility of executing operations such as visualization, analysis and predictive modeling.

In this context, the short-term goal is to find tools that open up unlimited possibilities so that all aspects of business processes are based exclusively on data, and not an exclusive advantage of certain sectors of the company. In this sense, Artificial Intelligence (AI) has broad contributions to driving business value such as increasing sales through demand forecasting, improving customer satisfaction and increasing operational efficiency through process automation.