5 Pillars - Power Of Analytics Workshop (5PBVA) Course

Power Of Analytics Workshop Certification Training

5PBVA, 5 Pillars – Power of Analytics Workshop is a 0.5-day hands-on workshop that is considered one of the second installments within the framework of the Five Pillars of Data-driven Transformation. Through immersive activities, you can explore the multifaceted features and functions of an

159
user 578 Partipants
certifiedLooking for Corporate Training
Click Here
Right Img
Regular updates
Benefit from Vinsys' ongoing support
Tap into specialized expert training resources
Access 24/7 support during the course<br />

5 Pillars ??Power Of analytics Workshop (5PBVA)

5PBVA, 5 Pillars Power of Analytics Workshop delves into the myriad of analytical processes and pinpoint scenarios where they can be used to generate business value. It is the second installment of the Five Pillars of Data-Led Transformation and acts as the support for AI initiatives. This workshop focuses on empowering you with discernment so that you can serve as a catalyst for transformative changes related to business analytics and metrics within organizations. The course synergizes with the supporting AI initiatives and allows you to actively engage in the process of identifying opportunities. You will learn about comprehensive process analytical functionalities and features to understand how integration can create a paradigm shift in business operations.

It is a seven-module workshop targeted to provide a holistic learning experience fostering a deep appreciation for the role of powerful business analytics in organization evolution. You can gain hands-on experience where analytics is honed to anticipate benefits and quantify the impact on the business metrics. By the end of this course, you will be able to communicate with others about automating processes and devise your own steps to be taken to incorporate better AI into the business.

Loading...

Objectives

Throughout this hands-on learning experience facilitated by our experts, you will achieve the following 5 Pillars – Power of Analytics Workshop objectives:

  • Explore the features and functions of data analytics tools, gaining practical insights into how they can be harnessed to transform business operations.
  • Gain the ability to identify, evaluate, and communicate the benefits of process analytics, fostering an organizational environment conducive to the effective incorporation of AI technologies.
  • Recognize and leverage the synergies between data analytics and AI, positioning the organization for enhanced AI opportunities.
  • Exhibit preparedness and eagerness to delve into the subsequent workshop, namely the AI-Based Solutions Workshop (5PAI), armed with a strengthened foundation from this course.
  • Possess effective communication skills to articulate the inherent value of Analytics to stakeholders, elucidating the steps necessary to seamlessly integrate AI into their business processes.
  • Develop a roadmap for the practical implementation of data analytics initiatives within their respective organizational contexts.
  • Develop practical skills in creating a compelling proposal that outlines the specific business advantages and metrics impacted by the strategic implementation of Analytics.
  • Develop proficiency in formulating a detailed and well-documented proposal outlining the strategic utilization of Analytics to advance toward AI-enabled operations.
  • Acquire the proficiency to guide and influence others within their organization, facilitating a collective understanding of the transformative potential of Analytics in conjunction with AI integration.
     

Audience

This introductory-level 5 Pillars – Power of Analytics Workshop is suitable for learners and professionals at all levels in the world of business and AI intelligence. It is targeted to anyone who is contributing strategically to the adoption of cloud solutions into their projects and applications, like-

  • Entrepreneurs and SME owners working on cloud-based transformations
  • Business analysts
  • Decision support teams
  • Analytical Engineers
  • Analytic professionals
  • Business professionals
  • Project managers
  • AI Specialists
  • IT aspirants
  • Data scientists and teams
  • Marketing professionals
     

Course Outline

Module : Baseline Concepts

  • Introduction to foundational concepts in data-led transformation
  • Foundational concepts essential for the course
  • Explore fundamental principles that serve as a basic understanding of Analytics technology
  • Business intelligence needs
  • Practical insights into the benefits and challenges associated with adopting analytics technology
  • Overview of the key terminologies and concepts for learners in communicating data with storytelling
  • Delve into the advanced modules

Module : Understanding Data Analytics

  • Overview
  • Data Analytics Consumption models and efficiency
  • Key public data analytics platforms
  • Big data analytics
  • Identifying opportunities
  • How data analytics unlocks potential in-depth exploration of opportunities and its architecture
  • Explore different types of data analytics-based models

Module : Big Data Comparison

  • Data analytics architecture and concepts
  • Data analytics methods, phases, tools, and opportunities 
  • Data Analytics Consumption models and efficiency
  • Value creation through data analytics 
  • Key public 
  • Strategic decision making

Module : Vertical Market Snapshots

  • Learn about the challenges and opportunities of cloud adoption
  • Showcasing successful cloud integration techniques
  • Analysis of industry-specific challenges and opportunities related to Analytics
  • Overview of the trends and implications in industry verticals
  • Case study analysis and real-world examples

Module : Identifying Opportunities

  • Guide learners to assess opportunities for leveraging data analytics technology
  • Develop an understanding to recognize data analytics utilization
  • Strategies to foster communication and acceptance of data analytics within the organization
  • Interactive sessions
  • Examine common scenarios where data analytics adoption is necessary

Module : Brainstorming

  • Collaborative Problem-solving sessions with the experts
  • Advanced concepts and technologies in data-led transformation
  • thinking approach and exploration of innovative possibilities
  • Stimulate creative thinking approach

Module : Next Steps

  • Effective communication and value proposition of cloud technology and its role in AI integration
  • Prepare for the next series, Leveraging Data for Analytics Workshop
  • Overview of the upcoming AI-based solutions workshop
  • Explore strategies for creating a well-documented proposal for leveraging cloud resources

Choose Your Preferred Mode

Online Training

Online Training

  • Instructor-led Online Training
  • Experienced Subject Matter Experts
  • Approved and Quality Ensured training Material
  • 24*7 leaner assistance and support
Corporate Training

Corporate Training

  • Blended Learning Delivery Model (Self-Paced E-Learning And/Or Instructor-Led Options)
  • Course, Category, And All-Access Pricing
  • Enterprise-Class Learning Management System (LMS)
  • Enhanced Reporting For Individuals And Teams
  • 24x7 Teaching Assistance And Support 

FAQ’s

What is the course duration?

5PBVA, 5 Pillars – Power of Analytics Workshop is a half-day hands-on workshop by Vinsys focusing on data analytics, big data, and AI features and designs to help learners become data-centric extensively.

Why should I enroll in this course by Vinsys?

Enrolling in this course by Vinsys will offer a comprehensive and industry-relevant curriculum in the world of data analytics. The course is designed to provide learners with hands-on experience and insights into the latest advancements in the field. On top of that, you will get 24*7 support for pre-and post-course completion from Vinsys after you enroll in it.

What is the course code to access the learning material?

The course code through which it can be accessed is 5PBVA.

How is the course program carried out at Vinsys?

We boost your odds of success by helping you prepare for required exams and earn the certification. Effective course material accessed throughout the program makes learning about concepts beyond the class easier. Our courses are delivered through instructor-led training (ILT), private group training, and virtual instructor-led training (vLIT). You can choose your learning path to upskill with Vinsys' subject matter experts upon customizing training needs to ensure 100% results.

How will the course help me in my professional development?

Designed with experts, the course can unlock the potential of hands-on skills in artificial intelligence operations, enabling you to design, create, and deploy data analytics-based skills. 5 Pillars – Power of Analytics Workshop directly applies to enhancing professional expertise in making informed decisions at the organization tailored for industry insights provided with capabilities. 5PBVA covers future trends in the field to make you more valuable data analytics solutions in the evolving landscape of AI and improve business operations.

Can a beginner enroll in this course?

Yes, a beginner can enroll in this course. It is an introductory level course that is suitable for those seeking to deepen their understanding of data analytics-based solutions in collaboration with AI and develop predictive analytics and architectures with the knowledge to enhance a wide range of skill levels. This includes those working majorly in the field of business and looking forward to deepening their understanding of data analytics tools and features.

What are the job opportunities after 5PBVA?

Upon completing the 5 Pillars – Power of Analytics Workshop, various job opportunities in the growing field of AI and predictive analytics will open up for you to explore skills in roles such as business management to contribute to decision-making in a predictive analytics-based AI environment. The professionals working in the IT field can explore opportunities in AI-driven center solutions, thus offering diverse and rewarding career paths.

How will this course help the learners? 

5PBVA will help learners understand AI and predictive analytics data-led transformation and learn to identify various types of business strategies. The knowledge equips them to navigate the complex landscape of AI in an evolving environment.

Can learners interact with the instructors?

Yes, learners will be able to interact with the instructors until their confusion and queries are resolved. You can enjoy 24*7 support from Vinsys even after the course completion.
 

Why Vinsys

whyVinsys
Seasoned Instructors
Seasoned Instructors
Official Vendor Partnerships
Official Vendor Partnerships
Authorized Courseware
Authorized Courseware
3,000+ Courses & 2,000+ Modules
3,000+ Courses & 2,000+ Modules
In Synch with Tech-advancements
In Synch with Tech-advancements
Customizable Blended Learning Options
Customizable Blended Learning Options

Reviews

5PBVA is an incredibly beneficial course for me as a data analyst. It has redefined my understanding of the broader context of data analytics. Vinsys-led practical experiences and hands-on training have helped identify opportunities that resonate with the big data industry. I am thankful to Vinsys for empowering me to contribute effectively to the organization's data-driven initiatives.

Pratik MoreBusiness Analyst

As a team, the course workshop has helped us analyze the industry trends and gain hands-on experience at the same time. The expert-led training was facilitated through group discussions and training that helped build skills to bring substantial value to the ongoing projects. It has helped us in creating a unified mindset and become more data-centric.    

Farukh SheikhMarketing Analytics Manager

Need Help Finding The Right Training Solution

Our Training Advisors Are Here For You

Contact Us 
X
Select Language
X
Select Country
X
ENQUIRE NOW
  • Contact Us at :

Please accept cookies for the best website experience. By clicking 'Accept and continue', you agree to the use of all cookies as described in our Cookie Statement. You can change or withdraw your cookie consent at any time.