Business decision-making driven by data analysis [💰↻50%]
business·@enisshkurti·
0.000 HBDBusiness decision-making driven by data analysis [💰↻50%]
<html> <p>Regardless of the type of business, data analysis is an inexhaustible asset for extending the company's operational base built on: product development / improvement, decision-making in daily, weekly and annual activities, design of a customer service framework and budget planning and short-term and long-term investments. The topic of today's discussion is whether a data analyst needs to work within the company or does he need such functionality to be outsourced to third-party companies?</p> <p>https://rrotullcom.files.wordpress.com/2017/11/source.gif?w=720</p> <p>Basically, this depends on the profile and size of the company. Such an approach should be practical and a decision based on not to undermine the economic / financial package of the company's plan. More effective would be for such functionality to be installed "in-house" or within the company for the sole purpose of incorporating such an analyst into the product / service itself. On the other hand, a third party engagement is usually done for reasons when the contractor itself provides a ready-made analytical product, like a BI system (Business Intelligence).</p> <p>https://rrotullcom.files.wordpress.com/2017/11/insurance-leadspace-aniamted.gif?w=720</p> <p>Part of the true structuring of the relationship-data company analyst is the communication between them. Such communication is characterized when the employer or business owner communicates with the analyst in the business aspect that he or she understands. After such a conception, together with the analyst, both parties authenticate and translate the language expressed in data analysis. But not everything depends on the data (ang: data analysis). The nature of treating them is retrospective, which makes it technically impossible to take any action taken or driven by such a set of data because of their incompleteness and accuracy. As a result, today in the modern world there is room for mistakes when it comes to intuitive solutions. For marketing as a field of study itself, even a mix of decisions between intuition and data support is not necessarily correct. At the same time, the importance of their data and management capability for many companies is becoming a matter of survival and not just competitive advantage.</p> <p>The rapid progress of "Machine Learning" on data management platforms focusing on text, voice, and image analysis is expanding the test space to businesses as well.</p> <p>https://rrotullcom.files.wordpress.com/2017/11/untitled-4.gif?w=720</p> <p>As an example, several years ago, mobile operators used semi-automatic systems to detect calls against call centers for socio-technical problems of individuals, where such a categorization of problems was done manually. Today, with smart technology, companies manage to differentiate and identify the problem of tonality of the conversation, which makes it easier and automates their categorization. This helps companies to better understand their clientele and to act with maximum affiliation to the requirements that such a client can have.</p> <p><br></p> <p>Return from this post will be <strong>50%</strong> of the cost of your voice! </p> <p>The reimburse will go to all engaged steemians, who voted for this post by <strong>more than 0.001 SBD</strong> (the minimal quantity for transactions). The only exception - paid upvote services, which feels well enough and without our support. (boosters, support projects, bots...)Look for our posts under the tag <a href="https://steemit.com/trending/sbdgiveaway"><strong>#sbdgiveaway</strong></a></p> <h4><a href="https://steemit.com/trending/sbdgiveaway">#SBDGiveaway</a>: The percentage indicated in the post title of the sbd rewards will be distributed to the our UpVoters!</h4> <p>Thank you.<br> <a href="https://steemit.com/@enisshkurti">@enisshkurti</a> </p> </html>
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