Post by simranratry20244 on Feb 12, 2024 1:51:40 GMT -8
Perfection and (therefore) infallibility do not exist, or at least not in the field of the human, the real and the mundane. Even less so in the business sphere, where a huge number of factors come into play that make it impossible to have full guarantees of a priori success in any project undertaken. However, as ideals, they act as the maximum reference in the development of solutions that try to get as close as possible to the perfect and infallible; solutions that, although they do not fully guarantee success, do greatly expand the possibilities of achieving it in any activities, operations and tasks that arise in the business environment, maximizing the use of new opportunities and reducing the risks assumed to a minimum. in making decisions. This is the spirit that encourages the development of a new generation of BI tools especially based on advanced analytics solutions , and today we will see to what extent they become crucial in the design of a sales plan , if not absolutely infallible, then practically impregnable. For example, one of the next-generation BI tools on the market is IBM SPSS.
The keys to an (almost) perfect sales plan Designing a sales plan, in essence, is very similar to developing a general strategic plan: you must specify objectives (sales, in this case) and specify how they will be obtained , in a given time and with an adequate budget. Broadly speaking, these are the main elements that come into play in the design of a sales plan, in which two specific and highly critical Colombia Telemarketing Data factors must also be taken into account, which will vary depending on the commercial strategy adopted: Establish an appropriate price for selling the product or providing the service, for which it will be essential to know the real cost of the good or service offered. Make a sales forecast adjusted to the real possibilities of production, and the demand and needs of the market to which the product or service offered is intended. Obviously, for this it is essential to have data and information analysis tools that offer a vision as close as possible to the reality of the company and the market , and the more powerful the resources used for this purpose, the better results will be obtained. with the sales plan prepared.
Up to this point, traditional BI tools (basically descriptive analytics) meet what is required to be able to establish an adjusted price, answering questions about the real and updated state of the organization and its market (and which we could summarize with the question "Does it exist ?" What is happening? "). However, the question of forecasting, equally critical in the design of a sales plan, would still remain to be answered and/or at the expense, ultimately, of the intuition of those responsible for its preparation. It is at this point that advanced analytics tools, or predictive intelligence, come into play, allowing us to answer the question " What is going to happen?" ยป through the design of multiple possible scenarios using powerful data mining techniques , managing and analyzing greater volumes of data from a much larger number of sources than traditional ones and, ultimately, reducing to a minimum the risks implicit in the decision making (an especially critical issue in the development of a sales plan), making new business opportunities visible and providing possible, realistic, and maximally efficient and effective solutions for their full use. To learn more about the advantages that new generation BI tools provide, we recommend the guide Predictive Analytics: the impact of prediction for an organization , available completely free in the ebooks section of this blog.