Post by account_disabled on Feb 22, 2024 0:07:22 GMT -5
There is no doubt that the correct implementation and appropriate use of data analysis and information governance tools provide a powerful competitive advantage in a constantly evolving market. The continuous emergence of new needs related to data management and analysis only reinforces this fact, in addition to evidencing the importance of Big Data Analytics in increasingly larger, more diverse and more disparate sectors. However, it is important to see in which specific areas Big Data Analytics allows us to more easily outperform the competition and obtain a higher level of customer satisfaction , mainly to ensure that decision making in these key areas is carried out. in an informed manner and with the necessary knowledge about the most relevant aspects of the organization. Big_Data_Analytics-1 Big Data Analytics and taking advantage over the competition We know that the adoption of data analysis tools and their inclusion in Business Intelligence projects allows us to substantially improve the overall success of corporate operations, mainly by facilitating the making of correct decisions , minimizing risks and maximizing the use of new business opportunities.
But if we had to establish some classification criteria to elucidate and make visible, in a simple and quick way, which of these advantages allow us to climb positions in the market by gaining competitiveness, we could group them and list them, summarizing them in relation to 4 fundamental areas: Reliability : having large volumes of data , today, is no longer a sufficient condition to maintain or improve the company's positioning in a market that is increasingly prepared from a technological point of view to provide prompt and effective Chinese Student Phone Number List responses to the new needs of the market. customer. In this sense, Big Data Analytics tools not only offer the possibility of managing data with large volume and variety at an increasingly faster speed, but do so while ensuring the quality and reliability of this data . Thus, the decisions made based on this data and information are more and better founded, assume a lower level of risk and have greater chances of success. Customer service : there is no doubt that customer service is the cornerstone on which the possibilities of taking advantage over the competition are based. Without a positive evaluation from the client/consumer, any strategy aimed at improving positions in the market will be inevitably doomed to failure.
To this end, this strategy must include, in a prominent way, objectives that aim to this end by providing the appropriate analysis and data management tools to the areas that maintain more direct contact with the client: the commercial area (especially the sales), and the technical and after-sales areas (technical and after-sales customer service teams). Thanks to these tools, the offer of products and services can be better adjusted to the needs of each client, and more personalized attention can be provided, offering real solutions adapted to each situation. Finances : especially regarding the detection of losses and the visibility of opportunities to reduce costs. But, in addition, analytical tools for Big Data also make it possible to discover and analyze relevant data and information that affects the making of key financial decisions to gain an advantage over the competition, such as those that concern the planning of new investments. . Operations : Despite all of the above, as we know, there is no single factor that allows us to achieve a prominent position in the market. Therefore, the selection, analysis and management of relevant data and information that provide knowledge about the real state of the company's key operations (specifically or as a whole) is not a tangential issue at all. As this is the point that is exposed here in a more open and indeterminate way, we recommend reading the completely free guide, 360ยบ Client Vision in Big Data Analytics , an ideal resource to complete this information and get the most out of the analysis tools for Big Data, with the taking of competitive advantage standing out in the horizon of expectations.