Call for 
Proposals

Deadline: February 12, 2021

Date & Location

June 23 -24, 2021 | 9:00 AM -5:00 PM

Held Virtually

Conference Overview

Increasingly, data and data analytics are shaping the vision and strategy of organizations of all kinds – from businesses to governments to healthcare and higher education institutions. Data analytics is routinely affecting many aspects of our lives. The historic events of 2020 have amplified those effects and resulted in unprecedented changes in how organizations strategically manage and compete in the new economic landscape. Additionally, the way everyday citizens work, shop, learn, and engage in their personal and professional lives has had to shift as well.  Data Analytics is a quintessential tool to driving success in this new world.   

Given these trends and the evolving nature of the field of Data Analytics, the theme for this year’s conference is the application and effects of data analytics in this changing worldAt this year’s summit, leaders, managers, practitioners, and stakeholders from across disciplines will share insights on applying and adapting in the new world where data is a critical component to success.   

    Format

    All sessions are 45 minutes,  including a brief Q&A period at the end.

    Track & Sessions
    1. Vision & Strategy:  It is impossible to build an organization’s strategy without data and analytics. To create a data-driven vision and strategy, organizations need a successful data analytics strategy.  The two go hand and hand. In this track, we look to learn the answers to these questions: 
    • What are the keys to creating a data-driven vision and strategy? 
    • What are the components to successfully execute a data analytics strategy? 
    • How are descriptive, predictive, and prescriptive analytics incorporated? 
    • What skills, toolsand technologies are required? 

    2. Data Quality, Data Management, & Governance: Data quality, data management, and governance are critical.  People can only make the correct data-driven decisions if they have access to accurate data.  Without quality data, data can not only be useless, but it could also be dangerous.  Data quality is a top problem. These sessions will discuss: 

    • The criticality of data quality, data management, and governance 
    • Best practices for data quality, data management, and governance 
    • Practical approaches for where to start 
    • Tools and techniques for improving data quality, management, and governance. 

     3. Descriptive, Diagnostic, Predictive, & Prescriptive Analytics: Trends & ImpactDescriptive, Diagnostic, Predictive and Prescriptive Analytics are used in all industries and sectors. They are used by financial institutions for fraud detection, by healthcare providers to prevent hospital-acquired infections and diagnosing abnormalities at initial stages, by consumer goods producers to optimize pricing and inventory management, and manufacturers to optimize operations. Predictive analytics also assists with forecasting weather patterns to anticipate and minimize the impact of natural disasters and in identifying future economic recessions in time to design sound public policy to prevent them.  Data analytics also has become a central part of every major political campaign, allowing candidates and their teams to micro-target voters, identify swing states, and drive overall campaign strategy. This track will cover descriptive, diagnostic, predictive and prescriptive analytics.  Sessions will include: 

    • Overview of the four types of analytics (descriptive, diagnostic, predictive, and prescriptive) and identification of when it’s best to use each type. 
    • In-depth sessions on each of the four types of analytics exemplifying best their successful use 
    • The latest trends and impact one or all types of analytics 

     4. Case Studies & Applied Analytics: Data and analytics are driving and inspiring change and improvement across all sectors- government, healthcare, business, environment, and beyond.  Sessions will focus on: 

    • Case studies demonstrating how organizations are using data-driven decision making to create a better future.  
    • Sector specific best practices examples with demonstrated success measures 
    • Case studies of organizations leading the way to creating to advances in healthcare, business, government, using data to drive digital transformation. 

     

    How to Submit a Proposal

    1. Review the above track and session information- The details are meant as a guide, they are not meant to be perspective session abstracts.
    2. Complete a proposal submission form by February 12, 2020. Please complete one form for each potential session.
    3. Look for an email from Sarah McDanolds (SMcDanolds@HarrisburgU.edu) at the end of February with the next steps, including scheduling calls between confirmed speakers and the planning team.