Agile businesses are poised to take advantage of the enormous opportunity that Digital Transformation represents. This presentation will focus on the five key phases of Digital Transformation, each being fully explained in detail. With an energetic presenter and a rich learning environment, we’ll dive right into this topic, understand what you need to do, and help you find your best path through the third digitized age.
Read more ...Consumers' emotions drive them to buy things they need, but also things they want. The way to influence this emotional state is through the five senses: sight, sound, feel, smell, and taste. You can design products that are visually appealing and give consumers a sense of the product from just looking at it. This can have a profound impact on whether or not a consumer wants to buy your product or service. Sensory marketing is an advertising method based on the purpose of engaging one or more of the five human senses including sight, hearing, smell, taste and touch. to create an emotional connection between consumers and products, services or brands. Although it has been applied in practice for a long time, it was not until the early 1940s, when marketers discovered how what people see affects advertising, research studies Formal studies of a more formal and scholarly nature are being conducted. The knowledge Cam shares below is just like a drop of salt compared to the works that humanity has built.
Read more ...Social media marketing involves using social media platforms to share material about a company or service.
Read more ...Statistics is a unique branch of Mathematics which deals with the collection, calculation and interpretation of numerical data. In Statistics, tests of significance are the method used to reach a conclusion to reject or support the claims based on sample data. The statistics are well known for research based on statistical surveys. During a statistical process, we come across certain terms such as "significance", "p-value" and others. Statistical tests are used to check whether the result of a study has the desired level of significance. This is done by using a statistical test that is appropriate for your situation. For example, if you’re testing whether an abstract treatment alone works better than a different treatment (control) then you would use an independent-groups design with an independent variable and dependent variable. The key point is that it should be random assignment so neither condition can have an impact on one of the other. This could, for example, be by chance or because it was not known at the outset in advance how many people would respond well or badly. If you wanted to compare two treatments but didn't know who got each treatment beforehand so it was arbitrary who got which treatment this wouldn't fit into this model as there was no way to assign them randomly (only chance). If you had large numbers of subjects then small differences in results could mean something statistically significant had been achieved even if no patient would notice any difference between treatments as there were enough subjects doing both and only tiny differences between patients are noticed when large numbers are involved from tiny changes
Read more ...SEO is the art of optimizing websites for a higher ranking in search engines.
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