DPAI0824: Data Preparation and Quality for AI and Analytics

How do organizations acquire, manage, and prepare good quality data for AI and analytics? What are the steps to make these processes more efficient? In this live, 2-day, online workshop, you’ll learn essential techniques to clean, transform, and enhance raw data for AI and analytics projects with instructor Dr. Prashanth H. Southekal. Dive into the DARS Framework (Define-Assess-Realize-Sustain), discuss the impacts of poor-quality data, explore the six stages of data integration and engineering, learn about data profiling, root cause analysis, data processing, ensuring data integrity, data safety and ethics, and other essential aspects of preparing an organization for successful AI and analytics implementations.

Join this 2-day live, online workshop Data Preparation and Quality for AI and Analytics. In this workshop, Dr. Prashanth H. Southekal will do an in-depth exploration of the DARS framework (Define-Assess-Realize-Sustain), a combination of strategic and tactical elements to help organizations acquire and sustain quality data for improved business operations, compliance, and performance management necessary for successful AI and analytics implementation. Whether you’re a data scientist, data quality specialist, analyst, business professional, or organizational leader, this course equips you with the skills needed to unlock the true potential of your data. Get ready to elevate your data preparation and quality, and set the stage for successful AI endeavors!

Companies that are data-driven have demonstrated improved business performance. McKinsey says, data and analytics can provide EBITDA (earnings before interest, taxes, depreciation, and amortization) increases of up to 25%. According to MIT, digitally mature firms are 26% more profitable than their peers. Forrester research found that organizations using data for decision-making are 3X times more likely to achieve double-digit growth. Hence every company today is looking at leveraging data for improved business performance. But most organizations are impaired with poor data quality. A HBR study found that just 3% of the data in a business enterprise meets quality standards. According to Experian Data Quality, poor data quality impacts up to 12% of revenues. Hence enterprises are looking at strategies and solutions based on practical guidance and proven solutions to derive quality business data in preparation for AI and analytics execution.

This training has 3 key learning objectives:

  • Understanding business data, types, and its key characteristics
  • Defining data preparation and quality, and its key dimensions as necessary for AI and analytics
  • Learning the 10 key techniques to prepare, improve, and sustain quality data in the business for AI and analytics

Two-Day Seminar Price:

  • $1,000 Early Bird Price through August 9, 2024
  • $1,200 after August 9, 2024

Last day to register: Sunday, August 25, 2024

Seminar CEUs: 10
Seminar Date: August 27 – 28, 2024
Seminar Time: 11 AM – 3 PM Eastern / 8 AM – 1 PM Pacific

Who Should Attend?

This two-day, live, online workshop is intended for business and IT professionals at all levels who have been tasked with understanding and implementing AI and analytics on behalf of their organization. It does assume general business knowledge, but not specific technical knowledge or experience. It is appropriate for executives, departmental and/or project managers, data and enterprise quality specialists, consultants, analysts, data scientists, data engineers, and technical staff. The course is not designed for any specific business domain, and as such is applicable to any business function that is in need of more reliable information, such as finance, manufacturing, human resources, analytics, operations, and more.

The 3 basic requirements to enroll for this course are:

  • Decent knowledge of business principles
  • Basic knowledge MS Excel
  • High school level Mathematics

We offer several bulk licensing options for corporate and group use.

Contact us for a follow-up discussion!

Seminar Format

  • A two-day workshop that includes lecture format over slides with questions either throughout or at the conclusion of each section, breakout sessions, and exercises.
    • The seminar date is: Tuesday – Wednesday, August 27 – 28, 2024
    • Seminar time is: 11 AM – 4 PM Eastern / 8 AM – 1 PM Pacific
  • All workshop material will be made available for students to download.
  • DATAVERSITY will be integrating two platforms to run the training: The DATAVERSITY Training Center (DVTC) platform and Zoom.
  • The DVTC Platform is where you will start your training: https://training.dataversity.net
    • This will be where you will log in, and then click a “Join Now” button on the day of the live training in your course dashboard.
    • This platform will contain the syllabus for the day, information on navigating through both platforms, enable you to take notes throughout the training, join a forum with your classroom peers to network with each other even after the live online training is over, download materials, and access the recording of the training when it is complete.
  • When you click the “Join Now” button in the DVTC Platform, a Zoom window will open.
    • This platform is where you will take the training, view the presentation, and engage in breakout sessions.

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