Big Data and Deep Learning هذه الدورة تدرس باللغة الإنجليزية البرشاء, دبي

تفاصيل الدورة

Discovering Hidden Opportunities

How do we know what behavior customers have when buying our products and services?

Organizations today are relying on big data and related analytics. The emphasis for data is on the growth in non-numeric data. In fact, some say the rate of growth of non-numeric data is 10 times the numeric data. This explosion of data of all types (text, video, audio, pictures etc.) poses a challenge to managers to effectively make sense of and use the data. Understanding, organizing, integrating and delivering this data is a key issue today. Business must be clear about the use of such data to avoid storing and managing an excess of data.
Big data carries with it many implications. The data is much more time sensitive than the traditional numeric operational data most organizations maintain. Big data may vary in time value from minutes to years especially when considering media or streaming data, data that represents a quick transaction burst or data that represents complicated real world items such as emails, x-rays, prints, diagrams, photos and sound bites.
Data analytics are techniques that take advantage of the promise of big data. It is more than projecting past performance or assessing likelihood of some action in the future. Today organizations rely on the use of predictive analytics to accelerate performance. These analytics include the methods relating variables to a particular success initiative. Initiatives include understanding what data drives choice of products, what products consumers buy together and what is your image to your customers and the public.
What happens when the data mine is empty?
Organizations know when to stop mining gold from a vein, coal from a seam or pumping oil for a well. Is it possible for the data to be useless?
How do you deal with renewable data, data that constantly refreshes like consumer buying habits, corporate image and other factors that contribute to success?
This course is key for business managers, strategic planners, marketing analysts, data analysts and architects, planning managers, process analysts, business analysts, business architects, enterprise and IT ;

By attending this highly informative 2 day workshop, delegates will learn how to:

• Explain the difference between big data and data we manage today
• Understand the trend and use of big data
• Define the business value of big data to your organization
• Explaining the technology available for big data today
• Explain the difference between correlation and affinity and how each is used
• Interpret how sentiment analysis impacts business image
• Design methods that effectively utilize prediction with big data
• Understand the limits of big data
• Interpret social media data to understand market potential
• Identify when the 'data mine' is empty

تحديث بتاريخ 01 May, 2018