Business Plan: Data Analytics Service & Education Startup PT Proxima Analytica Indonesia
Executive Summary Startup dengan 2 pilar utama: 1. Data Analytics Services → olah data, dashboard, riset, forecasting. 2. Education & Career → bootcamp, private, corporate training, coaching. Model bisnis: bootstrapped, berbasis trust & digital marketing organik.
Problem Statement • Perusahaan kesulitan mengubah data mentah jadi insight. • Gap skill antara industri & tenaga kerja. • Training ada, tapi mahal & kurang relevan.
Value Proposition • Perusahaan: Solusi customized, terjangkau, actionable. • Individu: Belajar praktikal, studi kasus nyata, career guidance. • Trust-based business: kualitas, testimoni, personal branding.
Produk & Layanan A. Data Analytics Services - Dashboard & BI - Data cleaning & reporting - Market research & forecasting - Custom automation B. Education & Training - Bootcamp - Private Class - Corporate Training - Career Coaching
Business Model & Revenue Services B2B: Rp 5–50 jt/proyek | Retainer Rp 10–30 jt/bln Bootcamp: Rp 2–5 jt/peserta Private Mentoring: Rp 300–500 rb/sesi Corporate Training: Rp 15–50 jt/paket Career Coaching: Rp 500 rb – 2 jt/paket
Go-to-Market Strategy Digital Marketing: LinkedIn, IG/TikTok, YouTube, SEO Networking: alumni, HR, founder, kampus, coworking Trust & Community: portfolio nyata, testimoni, komunitas belajar gratis
Operational Plan • Founder: instruktur, konsultan, marketing • Freelance mentor: support bootcamp/training • Admin/marketing part-time Tools: Google Workspace, Notion, Canva, Looker Studio
Financial Plan (Year 1) Modal awal: Rp 5–10 jt Target revenue: - Services: Rp 200 jt - Bootcamp: Rp 100 jt - Private/Coaching: Rp 50 jt - Corporate Training: Rp 100 jt 👉 Total: ± Rp 450 jt
Growth Roadmap Year 1: Fokus marketing, 2–3 corporate clients, 50+ siswa bootcamp Year 2: Bangun LMS, tambah mentor, ekspansi training Year 3: Membership, micro-certification, scale komunitas
Key Success Factors • Brand personal yang konsisten • Digital marketing organik • Quality over quantity → klien puas • Komunitas & trust sebelum monetisasi