REfference FrameWorks

What is BottleNeck??
ERP


2
What is ERP (Enterprise Resource Planning)?

ERP stands for “Enterprise Resource Planning,” which refers to the management and planning of essential business resources such as people, goods, and money. It involves creating strategies based on business goals and allocating resources efficiently.

Systems designed to support and streamline these business strategies are also called ERP systems,

Database
A structured collection of data.
DBMS
Software that manages and operates the database.
Core ERP
SAP S/4HANA Cloud
Enterprise-grade ERP for finance, logistics, and manufacturing.
Oracle ERP Cloud
Cloud ERP specializing in finance, procurement, and operations.
Microsoft Dynamics 365 Finance
Financial management and enterprise automation platform.
Infor CloudSuite
ERP optimized for manufacturing and distribution industries.
Workday Financial Management
Cloud-native financial and business planning system.
CRM
Salesforce
World-leading CRM platform for sales, service, and marketing.
HubSpot CRM
Free CRM with marketing and sales automation tools.
Microsoft Dynamics 365 Sales
Sales automation and customer engagement platform.
Zoho CRM
Affordable CRM with workflow automation and analytics.
Freshsales
CRM focused on AI-driven sales automation.
SFA
Salesforce Sales Cloud
Sales automation platform with forecasting and pipeline tools.
Senses
Japanese SFA platform for sales process optimization.
eSales Manager
Japan’s leading SFA for sales activity tracking.
MA
Marketo
Enterprise marketing automation for lead management.
HubSpot Marketing Hub
Inbound marketing automation with CRM integration.
Salesforce Marketing Cloud
Omnichannel marketing automation and personalization.
Adobe Campaign
Cross-channel campaign management platform.
SCM
SAP IBP
Integrated business planning for supply chains.
Oracle SCM Cloud
Cloud SCM for logistics, procurement, and planning.
Kinaxis RapidResponse
Real-time supply chain planning and simulation.
Blue Yonder SCM
AI-driven supply chain optimization.
WMS
Manhattan WMS
Leading warehouse management system for logistics.
Blue Yonder WMS
AI-enabled warehouse operations management.
SAP EWM
Extended warehouse management integrated with SAP ERP.
Oracle WMS Cloud
Cloud-based warehouse management solution.
MES / PLM
Siemens Teamcenter
PLM platform for product lifecycle management.
PTC Windchill
PLM system for engineering and manufacturing.
Dassault 3DEXPERIENCE
Unified PLM and collaboration platform.
SAP MES
Manufacturing execution integrated with SAP ERP.
Oracle MES
Cloud MES for production operations.
HR / HCM
Workday HCM
Leading cloud HCM for HR, payroll, and talent.
SAP SuccessFactors
Cloud HCM suite for HR and talent management.
Oracle HCM Cloud
Comprehensive HR and workforce management.
Microsoft Dynamics 365 HR
HR automation and employee management.
SmartHR
Japanese cloud HR platform for payroll and HR.
BI / Analytics
Power BI
Business intelligence and data visualization.
Tableau
Advanced data visualization and analytics.
Looker
Cloud BI platform by Google.
Qlik Sense
Self-service BI with associative analytics.
Accounting / Finance
SAP S/4HANA Finance
Enterprise financial management suite.
Oracle NetSuite
Cloud ERP for finance and business operations.
freee
Japanese cloud accounting platform.
Money Forward Cloud
Cloud accounting and finance management.
SaaS, PaaS, IaaS and On-Premises
Core ERP SAP S/4HANA Cloud
Oracle ERP Cloud
Microsoft Dynamics 365 Finance
Infor CloudSuite
Workday Financial Management
CRM Salesforce
HubSpot CRM
Microsoft Dynamics 365 Sales
Zoho CRM
Freshsales
SFA (Sales Support) Salesforce Sales Cloud
Microsoft Dynamics 365 Sales
Senses (Japan)
eSales Manager (Japan)
Marketing Automation (MA) Marketo
HubSpot Marketing Hub
Salesforce Marketing Cloud / Pardot
Adobe Campaign
SCM (Supply Chain) SAP IBP
Oracle SCM Cloud
Kinaxis RapidResponse
Blue Yonder SCM
WMS (Warehouse Management) Manhattan WMS
Blue Yonder WMS
SAP EWM
Oracle WMS Cloud
Manufacturing (MES / PLM) Siemens Teamcenter (PLM)
PTC Windchill (PLM)
Dassault 3DEXPERIENCE (PLM)
SAP MES
Oracle MES
HR / HCM Workday HCM
SAP SuccessFactors
Oracle HCM Cloud
Microsoft Dynamics 365 HR
SmartHR (Japan)
BI / Analytics Microsoft Power BI
Tableau
Looker
Qlik Sense
Accounting / Finance SAP S/4HANA Finance
Oracle NetSuite
freee (Japan)
Money Forward Cloud (Japan)





















Application -- What you manage??
SaaS, PaaS, IaaS and On-Premises
Model What you manage What the provider manages Typical example
On-Premises Servers, storage, network, OS, middleware, runtime, data, applications (everything is in your own data center) Nothing – you buy, install, operate and maintain all infrastructure and software Company-owned servers running ERP, DB, in-house apps
IaaS (Infrastructure as a Service) OS, middleware, runtime, data, applications (you design and operate the system on virtual machines) Physical servers, storage, network, virtualization layer Virtual machines on AWS, Azure, GCP
PaaS (Platform as a Service) Data, applications (you focus on code and configuration) Servers, OS, runtime, databases, scaling, security updates Heroku, Azure App Service, Firebase, managed DBs
SaaS (Software as a Service) Usage settings, user accounts, data inside the app All infrastructure, platform, and application itself Microsoft 365, Google Workspace, Salesforce, Slack
SaaS / PaaS / IaaS / On-Premises Responsibility Table
On-Premises IaaS PaaS SaaS
Applications Applications Applications Applications
Data Data Data Data
Runtime Runtime Runtime Runtime
Middleware Middleware Middleware Middleware
Operating System Operating System Operating System Operating System
Virtualization Virtualization Virtualization Virtualization
Servers Servers Servers Servers
Storage Storage Storage Storage
Networking Networking Networking Networking
Database and Excel
Item Database Excel
Data Volume Management Capable of handling large amounts of data Performance slows down as data increases
Simultaneous Editing Strong support for multi-user simultaneous access Limited simultaneous editing capabilities
Data Integrity Automatically prevents duplication and inconsistencies Requires manual management
Security Supports access control and permissions Limited control
Database

Consistency,Integrity,Availability

Normalization
Database
A structured collection of data.
DBMS
Software that manages and operates the database.
2
Database Management System (DBMS)

A Database Management System (DBMS) is software designed to streamline operations such as creating, searching, updating, and deleting data within a database. In English, it is written as “DataBase Management System”, and it serves as the core component of database management.

A DBMS allows users to interact with data safely and efficiently without directly manipulating the raw data. It also provides strong capabilities for security, concurrency control, and high‑speed processing.

Consistency

Consistency ensures that data remains valid and follows all defined rules and constraints after any transaction. The database never enters an invalid state.

Integrity

Integrity ensures that data is accurate, complete, and protected from corruption or unauthorized modification. Relationships such as primary keys and foreign keys maintain reliable data structure.

Availability

Availability ensures that data is accessible whenever needed. Redundant systems and failover mechanisms allow continuous operation even if one server fails.

Normalization

Normalization is the process of organizing data to reduce redundancy and prevent inconsistencies. Large tables are divided into smaller related tables using keys.

SWOT
Opportunity
Threat
Strength
Weakness
・ 専門技術 ・ 高いブランド認知度 ・ 優秀な人材 ・ 強固な組織体制 ・ 充実したアフターサービス ・ インフラや資源の豊富さ
・ 技術力の低さや遅れ ・ 低いブランド認知度 ・ 人材や資源の不足 ・ 革新を阻害する保守的な組織文化>
専門技術 ・ 高いブランド認知度 ・ 優秀な人材 ・ 強固な組織体制 ・ 充実したアフターサービス ・ インフラや資源の豊富さ
・ 技術力の低さや遅れ ・ 低いブランド認知度 ・ 人材や資源の不足 ・ 革新を阻害する保守的な組織文化 ・ 従業員のモチベーション低下を引き起こす環境 ・ 社内コミュニケーションの不足 ・ 業務プロセスの非効率性 ・ サービス品質の低さ
LeanCanvas
2
課題
4
解決策
3
独自の価値提案
9
圧倒的な優位性
1
顧客セグメント
客がお金を払ってでも解決したい課題は何か。「バーニングニーズ」と呼ばれる、切迫したニーズ・課題を特定できるのが理想
自社がどのように顧客の課題を解決するのか、提供する製品・サービスの概要を記載
「あなたが他とは違っていて、注目する価値がある理由」切り口としては、「設備・技術/知識・経験/人材・組織/外部との関係/理念・文化・歴史」
他社には簡単に真似できない競争優位
共通のニーズを持つ顧客層に切り分け、なるべく絞り込み
代替品
7
主要指標
ハイレベルコンセプト
5
チャネル
アーリーアダプター
ライバル企業の競合製品だけではなく、「現在、顧客がどうやって課題に対応しているのか」に注目
Acquisition(顧客を獲得する)
Activation(顧客に体験を提供する)
Retention(リピーターにする)
Referral(顧客が第三者に紹介する)
Revenue(収益化する)
新製品は、新しさゆえにイメージが伝わりにくいことがあります。アイデアを一言で説明するとしたらどのような表現になるのかを言語化
「ターゲットとした顧客セグメントにどのような接点でリーチし、製品を届けるのか」といった、顧客接点や流通経路
情報感度が高く、問題解決のためなら新しいサービスを積極的に取り入れる人々
8
コスト構造
6
収益の流れ
継続的に支出が必要となる「固定費」と、一時的な支出となる「変動費」に分けて洗い出し、持続的な低コスト構造を構築するのが理想
「何を売って、どのようにお金をもらうのか」といったマネタイズプランについて具体的に記入
CustomerJourney
フェーズ
ニーズ潜在期
ニーズ潜在期→顕在期
ニーズ顕在期
トライアル購入
使用評価
需要顕在期
リピート購入
行動
我々の行動
タッチポイント
内容
感情
次の行動契機
Finance
商品
売値
原価
利益
利益率
売上
単価
顧客数
市場参考
初期投資
会社関連
商品開発
市場参考
Finance
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
売上
コスト
利益
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4P
Product(製品)
製品/サービスの特徴・品質・ブランドなどを設計
Price(価格)
価格設定の方法、割引・支払い条件などを決定
Place(流通)
流通チャネル、販売拠点、サプライチェーンの考慮
Promotion(プロモーション)
広告、販促、PR、パーソナルセリングなどの手段を検討
4P
SaaS, PaaS, IaaS and On-Premises
Model What you manage What the provider manages Typical example
On-Premises Servers, storage, network, OS, middleware, runtime, data, applications (everything is in your own data center) Nothing – you buy, install, operate and maintain all infrastructure and software Company-owned servers running ERP, DB, in-house apps
IaaS (Infrastructure as a Service) OS, middleware, runtime, data, applications (you design and operate the system on virtual machines) Physical servers, storage, network, virtualization layer Virtual machines on AWS, Azure, GCP
PaaS (Platform as a Service) Data, applications (you focus on code and configuration) Servers, OS, runtime, databases, scaling, security updates Heroku, Azure App Service, Firebase, managed DBs
SaaS (Software as a Service) Usage settings, user accounts, data inside the app All infrastructure, platform, and application itself Microsoft 365, Google Workspace, Salesforce, Slack
SaaS / PaaS / IaaS / On-Premises Responsibility Table
On-Premises IaaS PaaS SaaS
Applications Applications Applications Applications
Data Data Data Data
Runtime Runtime Runtime Runtime
Middleware Middleware Middleware Middleware
Operating System Operating System Operating System Operating System
Virtualization Virtualization Virtualization Virtualization
Servers Servers Servers Servers
Storage Storage Storage Storage
Networking Networking Networking Networking
4P
SaaS, PaaS, IaaS and On-Premises
Item Database Excel
Data Volume Management Capable of handling large amounts of data Performance slows down as data increases
Simultaneous Editing Strong support for multi-user simultaneous access Limited simultaneous editing capabilities
Data Integrity Automatically prevents duplication and inconsistencies Requires manual management
Security Supports access control and permissions Limited control
4P
Product(製品)
製品/サービスの特徴・品質・ブランドなどを設計
Price(価格)
価格設定の方法、割引・支払い条件などを決定
Place(流通)
流通チャネル、販売拠点、サプライチェーンの考慮
Promotion(プロモーション)
広告、販促、PR、パーソナルセリングなどの手段を検討
4P
Product(製品)
製品/サービスの特徴・品質・ブランドなどを設計
Price(価格)
価格設定の方法、割引・支払い条件などを決定
Place(流通)
流通チャネル、販売拠点、サプライチェーンの考慮
Promotion(プロモーション)
広告、販促、PR、パーソナルセリングなどの手段を検討