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

Project Management – The Key Skill of Analytics

By Abhinav Gupta

Updated on Jun 22, 2018 | 2 min read

Share:

Analytics has been around ever since the human race learned calculations, but it has picked up steam in the last few years owing to the hype and powerful marketing done by major internet firms.

The term analytics refers to the ability to analyze something and derive meaningful insights from it. The insights need not be limited to the count or to a particular field. The insights can vary in size, number, or in their relevance for the audience. In fact, if done beautifully, the insights can even lead to another discovery or an opportunity for further analytics.

For example, the most recent escalation of one of the social media giants with regard to leaking users’ data to one of the analytics firms in Cambridge highlighted this field much more albeit through negative publicity.

It seems that the firm was using this data and its analytics capability to help its customers fine-tune their marketing and advertising campaigns for political benefits. The ethical and lawful discussions on this matter will take a long time to settle down.

But this episode does show us that analytics is a capability that has immense power to decide our future course of action, and it should be used diligently and wisely.

This is where Project Management becomes an important key skill for Analytics. That also explains why the new-age IT professionals are taking up project management courses like PMP courses to validate their skill sets.

Why Project Management?

Project management is a field dedicated to managing all the aspects of a project, program, or key initiatives. If we consider Analytics as one of the projects within a company where let’s say, we have been assigned a team.

Now, as a project manager, you will be required to manage the team dynamics and team communications, set the team goals, understand the goals of business owners, govern ethics and rules of the game, punish the culprits and reward the good players of the game.

And the bottom line will rest with the Project manager like it did with Mr. Zuckerberg.

How to Use Project Management Skills in the Analytics Field?

If you have been assigned as a project manager for the analytics project, immediately, your goal should be multi-fold.

Master Right Skills & Boost Your Career

Avail your free 1:1 mentorship session

1. Constitute the team in next few days

Any more delay in this matter will make it difficult for you to develop and deliver high-quality insights in time. Because as clichéd as it might sound, developing key insights by looking into data is no child’s play.

2. Assign the following roles within the team

Your team should have the following members, and their responsibilities should be clear to them.
Data gatherer: This person will be required to gather the data relevant to your project from all the required sources.

  • Data validator: This person is responsible for making sure the data collected is in a good state to be consumed and is not incorrect. For this, the person will need to use various data validation programs and methodologies before he/she confirms the data is consumable.
  • Data organizer: Once you have the data collected, reviewed, validated, and ready to be consumed, you need to organize it. Either in the form of database tables or queues or in plain simple excel, but you need it organized. And not only in 1 view or format but in multiple formats. But the key ingredient of delivering insight comes from the ability to view the data from multiple angles and views; which views and angles will suit your needs best is decided by none other than a data scientist.
  • Data scientist: The person everyone looks up to and who gets the maximum respect in the Analytics project is a data scientist. This person supposedly knows all the algorithms, data-crunching models, views, and possible depictions of data. The Data scientist will guide your data organizers and programmers on the actual technical on-the-ground needs of the project.
  • Programmers: Sharp technical people who know how to code and do it fast. Time is money when it comes to analytics.
  • And some key people with good skills in talking to the data: None other than the project manager himself is best suited to play this role, as long as he/she is comfortable working with data. I think this is given by default that any good project manager worth his/her salt can play with data and talk to it. Still, some people have an uncanny knack for going one step beyond and having the data talk to them. This is where no mathematical model or algorithm will help you. This knowledge and insight come from observation, communication, and being aware of the circumstances driving the project. And who else has these things better under their control than the project managers themselves?
  1. Meet with key business owners of the project and understand their goals
  2. Explain, iterate and re-iterate those goals with your teams, especially data organizers, data scientist,s and programmers
  3. Start planning insight development and views on a unified dashboard for everyone to see.

These are the top 5 work items that any project manager should do in order to have a working analytics project.

3. Tying the loop

Needless to say, ensuring the team respects the rules of the team, the correct hierarchical order is set, and, most important, ethics are maintained whereby no consumer data is compromised, leaked, or misused is again one of the most important responsibilities of a project manager.
If the project manager is juggling multiple responsibilities in the team, then the above can be delegated to additional members known as team moderators.

Project Managers and Business Analysts: A Dynamic Duo 1 min

What a Project Manager Possesses that a Data Scientist can Never have?

Data scientists are a respected lot. They command respect and authority wherever they go because they have the tools and techniques to bring out the best of data hidden under the layers of algorithms.
But still, there is something a project manager can make or break the insights that are going to come out of Data. An extra something is Intuition.
This intuition is what tells a project manager whether he should stop now or should the team dig deeper to gain more insights. This intuition is what tells the manager that a particular dead end in analytics [and you will encounter many in the journey] could be another opportunity for a breakthrough.

The project gains this intuition in the following manner:

  • Through experience. Nothing can beat experience. The experience of dealing with data is very critical here.
  • Through observations. Observing the surroundings. Observing how data and systems interact with each other under different circumstances goes a long way in developing the art of understanding data.
  • And finally, through communication. In this case, communication with the business owners. For example, your team might be delivering a lot of insights by reading the data. And they could be right. But if this is what your business owners want, then what use will those insights be off? So communicating frequently and keeping everyone on the same page is very important here.

Take control of your projects like a pro with our online PRINCE2 Foundation and Practitioner training. Become a project management master today!

Top Cities where Knowledgehut Conduct Project Management Certification Training Course Online

Project Management Courses in London Project Management Courses in Singapore
Project Management Courses in Melbourne Project Management Courses in Toronto
Project Management Courses in Sydney Project Management Courses in Perth
Project Management Courses in Bangalore Project Management Courses in Dubai
Project Management Courses in Mumbai Project Management Courses in Brisbane

Conclusion

Gaining insights from data through Analytics is not only a science but an art. It is a beautiful symphony that, when played right, makes the data start unfolding itself in front of you without much effort, leaving you with treasures to be enjoyed and delivered.

Abhinav Gupta

Abhinav Gupta

10 articles published

Get Free Consultation

By submitting, I accept the T&C and
Privacy Policy

SuggestedBlogs