The customer journey could essentially be divided into 7 elements. We’ll touch upon the issue of ‘Privacy’ and how one balance social and commercial value. P…
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Nur Hanan's curator insight,
October 1, 2021 10:32 AM
Ringkasan Artikel ini berisi tentang pembahasan vektor eigen dari sebuah matriks bujur sangkar (square matrix) , misalnya matriks bujur sangkar berukuran 2 x 2 atau 3 x 3 . Pembahasan vektor eigen ini untuk menjelaskan kovarians, analisis komponen utama, dan entropi informasi dengan bahasa sederhana dan tanpa banyak matematika. Manfaat konten artikel bagi saya : Artikel ini memberikan informasi baru nagi saya tentang penggunaan konsep vektor eigen untuk menjelaskan tentang kovaroansi, analisis Komponen utama, dan entropi informasi, karena saat ini saya sedang mengampuh mata kuliah yang salah satu materinya adalah konsep vektor eigen yang kajiannya hanya sebatas matematikanya tanpa mengaitkan dengan kajian bidang ilmu yang lainnya.
Christophe Chambet-Falquet's curator insight,
July 17, 2015 6:40 AM
This "Macroscope" is becoming a powerful tool to be used worldwide for civil applications.
Farid Mheir's comment,
June 2, 2015 5:16 PM
thank you @Hany Aly @Vandana Verma. Feel free to recommend my topic
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Curated by Farid Mheir
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A presentation of case studies in data analysis for Marketing, it also presents some very useful enterprise data science insights that can be leveraged when preparing a corporate data strategy. Also presents some interesting data points and use case priorization.
WHY THIS IS IMPORTANT
All corporations dream of leveraging data in real-time but the reality of legacy computer systems, lack of expertise with new tools and technologies, and a considerable amount of hype very often makes data strategies overblown and unrealistic. At this point in time it appears that the best course of action is to capture a target vision and identify numerous small initiatives to get your feet wet and run up the maturity scale. Stay away from large all-encompassing plans that require boiling the ocean (of data)!