Explore Courses
course iconScrum AllianceCertified ScrumMaster (CSM) Certification
  • 16 Hours
Best seller
course iconScrum AllianceCertified Scrum Product Owner (CSPO) Certification
  • 16 Hours
Best seller
course iconScaled AgileLeading SAFe 6.0 Certification
  • 16 Hours
Trending
course iconScrum.orgProfessional Scrum Master (PSM) Certification
  • 16 Hours
course iconScaled AgileSAFe 6.0 Scrum Master (SSM) Certification
  • 16 Hours
course iconScaled Agile, Inc.Implementing SAFe 6.0 (SPC) Certification
  • 32 Hours
Recommended
course iconScaled Agile, Inc.SAFe 6.0 Release Train Engineer (RTE) Certification
  • 24 Hours
course iconScaled Agile, Inc.SAFe® 6.0 Product Owner/Product Manager (POPM)
  • 16 Hours
Trending
course iconKanban UniversityKMP I: Kanban System Design Course
  • 16 Hours
course iconIC AgileICP Agile Certified Coaching (ICP-ACC)
  • 24 Hours
course iconScrum.orgProfessional Scrum Product Owner I (PSPO I) Training
  • 16 Hours
course iconAgile Management Master's Program
  • 32 Hours
Trending
course iconAgile Excellence Master's Program
  • 32 Hours
Agile and ScrumScrum MasterProduct OwnerSAFe AgilistAgile CoachFull Stack Developer BootcampData Science BootcampCloud Masters BootcampReactNode JsKubernetesCertified Ethical HackingAWS Solutions Artchitct AssociateAzure Data Engineercourse iconPMIProject Management Professional (PMP) Certification
  • 36 Hours
Best seller
course iconAxelosPRINCE2 Foundation & Practitioner Certificationn
  • 32 Hours
course iconAxelosPRINCE2 Foundation Certification
  • 16 Hours
course iconAxelosPRINCE2 Practitioner Certification
  • 16 Hours
Change ManagementProject Management TechniquesCertified Associate in Project Management (CAPM) CertificationOracle Primavera P6 CertificationMicrosoft Projectcourse iconJob OrientedProject Management Master's Program
  • 45 Hours
Trending
course iconProject Management Master's Program
  • 45 Hours
Trending
PRINCE2 Practitioner CoursePRINCE2 Foundation CoursePMP® Exam PrepProject ManagerProgram Management ProfessionalPortfolio Management Professionalcourse iconAWSAWS Certified Solutions Architect - Associate
  • 32 Hours
Best seller
course iconAWSAWS Cloud Practitioner Certification
  • 32 Hours
course iconAWSAWS DevOps Certification
  • 24 Hours
course iconMicrosoftAzure Fundamentals Certification
  • 16 Hours
course iconMicrosoftAzure Administrator Certification
  • 24 Hours
Best seller
course iconMicrosoftAzure Data Engineer Certification
  • 45 Hours
Recommended
course iconMicrosoftAzure Solution Architect Certification
  • 32 Hours
course iconMicrosoftAzure Devops Certification
  • 40 Hours
course iconAWSSystems Operations on AWS Certification Training
  • 24 Hours
course iconAWSArchitecting on AWS
  • 32 Hours
course iconAWSDeveloping on AWS
  • 24 Hours
course iconJob OrientedAWS Cloud Architect Masters Program
  • 48 Hours
New
course iconCareer KickstarterCloud Engineer Bootcamp
  • 100 Hours
Trending
Cloud EngineerCloud ArchitectAWS Certified Developer Associate - Complete GuideAWS Certified DevOps EngineerAWS Certified Solutions Architect AssociateMicrosoft Certified Azure Data Engineer AssociateMicrosoft Azure Administrator (AZ-104) CourseAWS Certified SysOps Administrator AssociateMicrosoft Certified Azure Developer AssociateAWS Certified Cloud Practitionercourse iconAxelosITIL 4 Foundation Certification
  • 16 Hours
Best seller
course iconAxelosITIL Practitioner Certification
  • 16 Hours
course iconPeopleCertISO 14001 Foundation Certification
  • 16 Hours
course iconPeopleCertISO 20000 Certification
  • 16 Hours
course iconPeopleCertISO 27000 Foundation Certification
  • 24 Hours
course iconAxelosITIL 4 Specialist: Create, Deliver and Support Training
  • 24 Hours
course iconAxelosITIL 4 Specialist: Drive Stakeholder Value Training
  • 24 Hours
course iconAxelosITIL 4 Strategist Direct, Plan and Improve Training
  • 16 Hours
ITIL 4 Specialist: Create, Deliver and Support ExamITIL 4 Specialist: Drive Stakeholder Value (DSV) CourseITIL 4 Strategist: Direct, Plan, and ImproveITIL 4 Foundationcourse iconJob OrientedData Science Bootcamp
  • 6 Months
Trending
course iconJob OrientedData Engineer Bootcamp
  • 289 Hours
course iconJob OrientedData Analyst Bootcamp
  • 6 Months
course iconJob OrientedAI Engineer Bootcamp
  • 288 Hours
New
Data Science with PythonMachine Learning with PythonData Science with RMachine Learning with RPython for Data ScienceDeep Learning Certification TrainingNatural Language Processing (NLP)TensorflowSQL For Data Analyticscourse iconIIIT BangaloreExecutive PG Program in Data Science from IIIT-Bangalore
  • 12 Months
course iconMaryland UniversityExecutive PG Program in DS & ML
  • 12 Months
course iconMaryland UniversityCertificate Program in DS and BA
  • 31 Weeks
course iconIIIT BangaloreAdvanced Certificate Program in Data Science
  • 8+ Months
course iconLiverpool John Moores UniversityMaster of Science in ML and AI
  • 750+ Hours
course iconIIIT BangaloreExecutive PGP in ML and AI
  • 600+ Hours
Data ScientistData AnalystData EngineerAI EngineerData Analysis Using ExcelDeep Learning with Keras and TensorFlowDeployment of Machine Learning ModelsFundamentals of Reinforcement LearningIntroduction to Cutting-Edge AI with TransformersMachine Learning with PythonMaster Python: Advance Data Analysis with PythonMaths and Stats FoundationNatural Language Processing (NLP) with PythonPython for Data ScienceSQL for Data Analytics CoursesAI Advanced: Computer Vision for AI ProfessionalsMaster Applied Machine LearningMaster Time Series Forecasting Using Pythoncourse iconDevOps InstituteDevOps Foundation Certification
  • 16 Hours
Best seller
course iconCNCFCertified Kubernetes Administrator
  • 32 Hours
New
course iconDevops InstituteDevops Leader
  • 16 Hours
KubernetesDocker with KubernetesDockerJenkinsOpenstackAnsibleChefPuppetDevOps EngineerDevOps ExpertCI/CD with Jenkins XDevOps Using JenkinsCI-CD and DevOpsDocker & KubernetesDevOps Fundamentals Crash CourseMicrosoft Certified DevOps Engineer ExperteAnsible for Beginners: The Complete Crash CourseContainer Orchestration Using KubernetesContainerization Using DockerMaster Infrastructure Provisioning with Terraformcourse iconTableau Certification
  • 24 Hours
Recommended
course iconData Visualisation with Tableau Certification
  • 24 Hours
course iconMicrosoftMicrosoft Power BI Certification
  • 24 Hours
Best seller
course iconTIBCO Spotfire Training
  • 36 Hours
course iconData Visualization with QlikView Certification
  • 30 Hours
course iconSisense BI Certification
  • 16 Hours
Data Visualization Using Tableau TrainingData Analysis Using Excelcourse iconEC-CouncilCertified Ethical Hacker (CEH v12) Certification
  • 40 Hours
course iconISACACertified Information Systems Auditor (CISA) Certification
  • 22 Hours
course iconISACACertified Information Security Manager (CISM) Certification
  • 40 Hours
course icon(ISC)²Certified Information Systems Security Professional (CISSP)
  • 40 Hours
course icon(ISC)²Certified Cloud Security Professional (CCSP) Certification
  • 40 Hours
course iconCertified Information Privacy Professional - Europe (CIPP-E) Certification
  • 16 Hours
course iconISACACOBIT5 Foundation
  • 16 Hours
course iconPayment Card Industry Security Standards (PCI-DSS) Certification
  • 16 Hours
course iconIntroduction to Forensic
  • 40 Hours
course iconPurdue UniversityCybersecurity Certificate Program
  • 8 Months
CISSPcourse iconCareer KickstarterFull-Stack Developer Bootcamp
  • 6 Months
Best seller
course iconJob OrientedUI/UX Design Bootcamp
  • 3 Months
Best seller
course iconEnterprise RecommendedJava Full Stack Developer Bootcamp
  • 6 Months
course iconCareer KickstarterFront-End Development Bootcamp
  • 490+ Hours
course iconCareer AcceleratorBackend Development Bootcamp (Node JS)
  • 4 Months
ReactNode JSAngularJavascriptPHP and MySQLcourse iconPurdue UniversityCloud Back-End Development Certificate Program
  • 8 Months
course iconPurdue UniversityFull Stack Development Certificate Program
  • 9 Months
course iconIIIT BangaloreExecutive Post Graduate Program in Software Development - Specialisation in FSD
  • 13 Months
Angular TrainingBasics of Spring Core and MVCFront-End Development BootcampReact JS TrainingSpring Boot and Spring CloudMongoDB Developer Coursecourse iconBlockchain Professional Certification
  • 40 Hours
course iconBlockchain Solutions Architect Certification
  • 32 Hours
course iconBlockchain Security Engineer Certification
  • 32 Hours
course iconBlockchain Quality Engineer Certification
  • 24 Hours
course iconBlockchain 101 Certification
  • 5+ Hours
NFT Essentials 101: A Beginner's GuideIntroduction to DeFiPython CertificationAdvanced Python CourseR Programming LanguageAdvanced R CourseJavaJava Deep DiveScalaAdvanced ScalaC# TrainingMicrosoft .Net Frameworkcourse iconSalary Hike GuaranteedSoftware Engineer Interview Prep
  • 3 Months
Data Structures and Algorithms with JavaScriptData Structures and Algorithms with Java: The Practical GuideLinux Essentials for Developers: The Complete MasterclassMaster Git and GitHubMaster Java Programming LanguageProgramming Essentials for BeginnersComplete Python Programming CourseSoftware Engineering Fundamentals and Lifecycle (SEFLC) CourseTest-Driven Development for Java ProgrammersTypeScript: Beginner to Advanced

Metrics Management In Automation Projects-Deliver Value Endlessly In Your Agile Projects

Updated on 26 October, 2018

8.23K+ views
3 min read

Introduction

Projects have been executed for decades for many reasons including customer requirements, technological advancements, and compliance requirements etc. The success of the projects has been driven mostly by conformance to plan for plan-driven projects and the value of delivery for the Agile projects.

There are many factors that attribute to the success of the projects and had helped project managers steer projects in the right directions, take corrective and preventive actions.

Metrics is one of the most important aspects of project management which can assess if your existing project or program is doing enough to justify your existence. A metric, by definition, is any type of measurement used to measure some quantifiable component of performance. A metric can be collected through observation, such as delay in days, or number of defects; or the metric can be derived from directly observable quantities, such as defects per “x” lines of code, a cost performance index (CPI), or a schedule performance index (SPI) Metric is also called as an indicator, or a key performance indicator (KPI). We will see how metrics can manage automation projects effectively to realize its goals and objectives.

Why Automation? 

Insider Tips to Land Your Dream Scrum Master Job

Includes Scrum Resume Sample

We’ve witnessed so far application or product being built to solve a customers’ problem. Most of the applications including e-commerce are now being based on human-centered design or user-centric. These processes were in place and able to sustain when business productivity
trumped technology productivity.

Technology took mainstream lately and enterprises started identifying opportunities for automation to cut costs and invest more in the development of new business to grow their top line. RPA product companies took advantage of these opportunities and came up with new age automation suites to solve clients needs thereby saving millions of dollars in costs.

What to Automate?
Rule-based Automation

There are applications or systems that involved repetitive actions from users. For example. invoice processing, purchase order approvals, invoice reconciliation etc. These opportunities became the low hanging fruits for the enterprises to invest on. If you see really, these are rule-based systems that work based on if-else conditions.

The rule-based automation products came to limelight in recent years and demonstrated the possibility of automating these user interactions with the system and in fact reduced the error or exception rates drastically down.

Intelligent Process Automation

There are also applications that would require high-level behavior to do automation. For exp- to approve an invoice, the automation system should be able to read different formats of a document like pdf, doc, tiff, etc. It has to identify different fields in the invoice document like PO number, Vendor Name, Line item etc. But a lot of the times, these documents will not be structurally formatted and emphasizes the need for some kind of intelligence. This is where some NLP based systems can identify different structures, formats to effectively automate these systems.

Metrics for Improving the success of Automated Projects 

Every organization has its own approach for managing automation projects and have come up with assessments and frameworks to deliver benefits to their clients on their automation journey. There are multiple phases associated with the assessment framework and the below framework can help any automation projects reach its goal and measure the maturity level.

The phases are,

  • Kick-off
    • This is where the what part of the automation use cases are defined. Risks are identified along with mitigation plans.
  • Ideation 
    • The use cases for automation are brainstormed for BOTs development.
  • Assessment
    • Use cases are finalized based on different techniques.
  • Configuration
    • Architecture is finalized along with dependencies with related components.
  • Release & Transition
    • BOTs are certified, deployed and marked for the transition to the operations team.
  • Monitor & Support
    • Monitor logs, failures, exceptions and get customer feedback on implementation
  • Benefits Realization
    • ROI, Productivity improvement, FTE reductions details are gathered

Looking to advance your understanding of project management principles and propel your career to new heights? Our PRINCE2 Foundation certification course offers a comprehensive program that enables you to develop expertise in this field and become a certified PRINCE2 practitioner. Enroll now in our expert-led program to unlock your full potential!

How to measure Automation success in projects?

Metrics is one of the most important aspects of project management. Project managers use the metrics to track the project progress against the plan. It serves as a navigation system for them and can be used to drive towards the project goal.
The metrics can aid project managers to identify pitfalls and shortcomings ahead of time thereby providing enough time for the project managers to make proactive and corrective measures.

There are generally 6 factors that managers generally measure to create metrics that determine project success. Let’s see those metrics for implementing the Automated projects.

  • Value delivered to the client.
  • Time/Schedule to deliver project deliverables. (under / on / over)
  • Cost to deliver project (under / on / over)
  • Scope of work to be delivered. (addition / deletion)
  • Quality of deliverables and of the process. (Benchmarks met if any)
  • Risks to project success (Mitigation / Contingency plans)

Automation metrics are no different than traditional project metrics but have few variations on what metrics needs to be tracked to effectively manage the projects and deliver the desired outcomes.

Metric  Operation Definition  Outcomes 
Man to BOT Ratio Number of Bots VS Number
    of FTE in the  Team
Time of  Market,TCO
% of reusable components (Number of components reused/Total number of components)*100 Time of market
% reduction in FTE (Number of FTE  released due to BOTS/Number of FTEs before  the BOTS release)*100 Time of market
Thoughput (Time is taken before automation-time taken after automation/time taken before automation)*100 Time of market
ROI Total cost saving/ overall cost of implementation TCO
 BOT resolution Number of tickets resolved byBOTS/Overall number of tickets Time of market
Cycle time Average time to implement a bot(from requirement to production) Time of market

Automation metrics can be chosen based on the type of the projects being executed as listed above and are applicable to RPA/IPA projects as well. The major factors to be considered while executing the automation projects are,

  • What problem is your BOT solving for the customer?
  • Have you worked out the cost benefit for the BOT?
  • What is the right RPA tool for your business need?
  • Have you considered the scalability of BOTs, ease of implementation and robustness?

Conclusion

Automation is here to stay and will continue to evolve. McKinsey report says nearly half of the activities that people do can be automated theoretically using current technologies. As we progress to foreseeable future, more and more projects will embrace automation leaving humans to solve the most complex problems.

The metrics management approach and defined a set of metrics may be suitable for a particular automation team and not suitable for another team depending on the nature of the automation, but it has worked out pretty good for me so far.