What is Decision Management?

Decision Management is a discipline with sets of tools and techniques that allow businesses to make decisions.

Decision Management

Where does It Belong?

Analytics Definition

Gartner defines Analytics as a discipline that applies business logic and mathematics to data to provide insights for making better decisions.

background Layer 1 Analytically Assisted Decision Making Decision Management

Descriptive Analytics tell you what happened, but do not specify what to do about it.

Diagnostic Analytics let you explore how it happened, but do not specify what to do about it.

Predictive Analytics tell you what is likely in the future, but do not specify what to do about it.

Prescriptive Analytics specify what to do, or automatically trigger a response.

Decision Management is part of Prescriptive Analytics which enables Organisations to model Operational Decisions and Automatically trigger a Response.

Not Just a Type of Software

Decision Management is a discipline with sets of tools and techniques that allow businesses to make decisions.

Decision Management has Emerged from Five Areas

Data and Analytics

Accessing and processing data using descriptive, diagnostics, and predictive techniques.

Business Process Management

Orchestrating the human tasks and steps of the business process for automation and task management.

Operations Research

Optimizing and handling competing goals based on criteria and priorities that can be modelled.

Business Rules Management

Managing and automating business rules driven by Subject Matter Experts.

Robotics

Mimicking humans behaviour on using software to automate taking actions and interacting in software systems.

Decision management deals with systems that go beyond descriptive and predictive analysis to specify the best course of actions to take, or to compute a judgement or conclusion that solves a problem.

Goal of Decision Management

Decision management aims to improve the intelligence of business operations by enabling fast, consistent and precise fact-based decisions. It improves the quality of complex, structured operational decisions.

When Decisions should use Decision Management ?

When effectiveness and efficiency matter to the business operations.

Repeatable

When a decision is made repetitively and regularly it is worth to automate and will have a good ROI in automation. For example, decisions that happen per specific cases, per customers, per items and etc.

Non-Trivial

A decision must have a good degree of complexity to make it a good candidate for automation. For example, policies or regulations that drive and control decisions. Or, expertise knowledge or some analysis might be needed to make a decisions.

High Impact

Decisions with the highest business impact should have the higher priority for automation. The higher the impact is, the higher business value and easier to show the value of decision management.

Characteristics of the Good Candidates:

  1. Multiple decision criteria or substantial calculations.
  2. A lot of data and diverse kinds of data.
  3. Reusable decision logic that is frequently modified.
  4. Traceable and auditable decision making.
  5. Trade-offs among competing goals.
  6. Multiple decisioning scenarios acting together as a whole.

End-To-End Automation of Operational Decisions

Value of Decision Management is maximised when end-to-end decision automation is considered and decision-centric approach is utilised.

Where a Decision Management Can be Used?

Which Industries, Functions or Areas of business can Benefit?

Millions of operational decisions are made every day in businesses. The quality of decisions directly influences the quality of business operations. Decisions are influenced by data, regulations and market dynamics.

Because of this, you can see the use of decision management across many different industries and many different areas of business.

Financial

  • Mortgage Approval
  • Insurance and Loan Underwriting
  • Financial Trading
  • Leasing and Billing

Corporate

  • Supply Chain Management
  • Product Configuration
  • Risk Management
  • Cross-Selling
  • Logistics

Public Sector

  • Permit Approval
  • Subsidy Determination
  • Welfare
  • Taxes

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