ENTERPRISE INTELLIGENCE DARI PROSES BISNIS HINGGA ALGORITMA PREDIKTIF
Keywords:
ENTERPRISE INTELLIGENCE, PROSES BISNIS, ALGORITMA PREDIKTIFSynopsis
Buku ini mengupas sejarah dan evolusi teknologi sistem informasi serta Kecerdasan Buatan (Al) sepanjang abad ke-20. Buku ini secara tegas menolak narasi yang menganggap Al sebagai fenomena eksklusif yang muncul tiba-tiba di abad ke-21. Sebaliknya, buku ini berargumen bahwa abad ke-20 merupakan "laboratorium raksasa" yang meletakkan fondasi infrastruktur perusahaan dan aset data korporat. Tanpa fondasi historis tersebut, algoritma machine learning otonom modern tidak akan memiliki data untuk dipelajari maupun sistem untuk beroperasi. Materi di dalam buku ini membedah 14 bab secara kronologis dan tematik menggunakan struktur analitis ganda:
Dinamika Major: Menjelaskan pergeseran paradigma manajerial dalam organisasi.
Dinamika Minor: Mengupas detail teknis dan algoritma pendukung di balik
pergeseran tersebut.
Secara filosofis, buku ini menyoroti tiga transformasi besar dalam cara operasional organisasi:
Dari Ketidaktahuan Menuju Visibilitas: Berevolusi dari manajemen inventaris "kotak hitam" menuju transparansi Enterprise Resource Planning (ERP) dan Supply Chain Management (SCM).
Dari Intuisi Menuju Data: Menggeser pengambilan keputusan dari sekadar firasat dan bias eksekutif menuju ketepatan analitis yang digerakkan oleh Business Intelligence dan Big Data.
Dari Kaku Menuju Adaptif: Memetakan perjalanan Al dari model matematika statis dan aturan kaku menuju pengenalan pola yang dinamis melalui Jaringan Saraf Tiruan (Artificial Neural Networks).perg
Secara filosofis, buku ini menyoroti tiga transformasi besar dalam cara operasional organisasi
Dari Ketidaktahuan Menuju Visibilitas: Berevolusi dari manajemen inventaris "kotak hitam menuju transparansi Enterprise Resource Planning (ERP) dan Supply Chain Management (SCM).
Dari Intuisi Menuju Data: Menggeser pengambilan keputusan dari sekadar firasat dan bias eksekutif menuju ketepatan analitis yang digerakkan oleh Business Intelligence dan Big Data.
Dari Kaku Menuju Adaptif: Memetakan perjalanan Al dari model matematika statis dan aturan kaku menuju pengenalan pola yang dinamis melalui Jaringan Saraf Tiruan (Artificial Neural Networks).
Eksplorasi di dalam buku ini mencakup berbagai spektrum teknologi dan manajemen, di antaranya:
Evolusi fondasi komputasi bisnis seperti sistem ERP, kerangka kerja Total Cost of Ownership (TCO), dan lokalisasi arsitektur perangkat lunak.
Perjalanan pendisiplinan proses rekayasa perangkat lunak dan kualitas melalui CMMI dan Six Sigma.
Dinamika integrasi rantai pasok global (SCM), penanganan Bullwhip Effect, serta peramalan deret waktu bisnis.
Evolusi otomatisasi hukum melalui sejarah Due Diligence dan Smart Contracts berbasis kriptografi.
Transformasi manajemen pelanggan massal menuju personalisasi individual melalui Customer Relationship Management (CRM) dan manajemen loyalitas (Share of Wallet).
Sejarah konsolidasi data menuju era Business Intelligence, masa transisi Big Data, dan pemecahan masalah data yang tidak terstruktur seperti arsip teks dan gambar.
Buku ini dirancang sebagai peta jalan strategis bagi mahasiswa yang membutuhkan ketajaman teoretis serta bagi praktisi industri yang memerlukan konteks historis. Secara keseluruhan, buku ini bertujuan untuk memberikan pemahaman bahwa teknologi selalu hadir sebagai respons terhadap masalah bisnis yang mendesak, sekaligus membekali pembaca dengan landasan arsitektur masa lalu untuk memimpin di era Al otonom saat ini.
Chapters
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KATA PENGANTAR
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DAFTAR ISI
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01. ENTERPRISE RESOURCE PLANNING
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02. TOTAL COST OF OWNERSHIP
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03. PERSYARATAN LOKALISASI UNTUK TEMPLAT
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04. CMMI (CAPABILITY MATURITY MODEL INTEGRATION)
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05. SIX SIGMA
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06. SUPPLY CHAIN MANAGEMENT
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07. THE BULLWHIP EFFECT
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08. KOMPONEN PERAMALAN DERET WAKTU
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09. SMART CONTRACTS DAN DUE DILIGENCE
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10. CUSTOMER RELATIONSHIP MANAGEMENT
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11. LOYALTY MANAGEMENT DAN SHARE OF WALLET
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12. BUSINESS INTELLIGENCE
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13. BIG DATA ANTARA DATA DAN INTUISI
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14. MASALAH DATA TIDAK TERSTRUKTUR
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DAFTAR PUSTAKA
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PROFIL PENULIS
Downloads
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