Due June 28, 2020

Call for 

Below, please find the information regarding the call for proposals for the Data Analytics Summit on October 26-27

About the Conference

Increasingly, data and data analytics are shaping the vision and strategy of organizations of all kinds – from businesses, to governments, and higher education institutions. Data analytics is literally changing all aspects of our lives. This year, data analytics plays center stage in two prominent and historic events.

This spring, the United States will collect information from citizens for the 2020 Census. This big data will become the foundation for analysis about the U.S. population and its economy for the next decade, driving decision making across all sectors.

In November, we will elect the next president of the United States and predictive analytics will play a critical role in campaign war rooms and newsrooms alike. How will analysts learn from lessons in the 2016 election and adapt to provide more informed predictions and voter analysis four years later?

The sixth annual Data Analytics Summit explores:

  • how data analytics drives vision and strategy;
  • the criticality of data quality, data management, and data governance;
  • the value of descriptive, diagnostic, predictive, and prescriptive analytics;
  • data visualization, communication, dashboards and storytelling;
  • case studies of applied artificial intelligence, machine learning, including robotics process automation (RPA)
  • case studies and applied analytics.

New this year is a second day of Workshops & Trainings focusing on technical skills.

How to Submit a Proposal

  1. Review the information about the conference needs below.
  2. Complete a proposal submission form for each potential session by June 28, 2020. Please note that the forms are different for day 1 (summit) and day 2 (workshops & trainings).
  3. Look for an email from Sarah McDanolds (SMcDanolds@HarrisburgU.edu) in early July with the next steps, including scheduling calls between confirmed speakers and the planning team.

Target Audience

Each year, the Data Analytics Summit attracts 350 – 400 attendees from across all sectors, with the 54% coming from the public sector (federal, state, and local) and 25% coming from the private sector (consulting, financial, health care, tech, etc.). More than 90% of attendees reside in Pennsylvania; however, 10% travel from across the Mid-Atlantic and beyond.

The summit: October 26

The first day includes two plenary sessions and multiple concurrent breakout sessions.


The plenaries should focus on the overall theme of the conference. They should be delivered by dynamic public speakers who can provide uplifting messages.

  • The keynote should set the tone for the day.
  • The end note, as the last session of the day, should tie up the day’s topics, empowering attendees to apply lessons learned when they return to work the next day.

Track 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 a successful data analytics strategy?
  • How are descriptive, predictive, and prescriptive analytics incorporated?
  • What tools and technologies are required?

Track 2: Data Quality, Data Management, and 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, it could even 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; and
  • Tools and techniques for improving data quality, management and governance.

Track 3: Descriptive, Diagnostic, Predictive, and Prescriptive Analytics: Trends & Impact

Descriptive, 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 early 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 have 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;
  • The latest trends and impact one or all types of analytics; and
  • Exemplary case studies demonstrating one or all types of analytics.

Track 4: Case Studies & Applied Analytics

Data and analytics are driving and inspiring change and improvement across all sectors – government, health care, business, environment, education, and beyond.

How are organizations using data-driven decision making to create a better future?

Session Formats

  • Each session is 45 minutes, including Q&A.
  • Plenaries are presented to all attendees (350 to 400 people).
  • rack sessions are held in rooms holding 50 to 250 people.


Session Focuses

This conference is intended to span sectors and industries, including government, health care, supply chain, and others.

You will be asked to classify your session by a sector/industry focus.


Workshops & Trainings: October 27

 The second day of the conference will focus on hard skills, featuring beginner and intermediate workshops on a variety of topics.


  • 3-hour workshops
  • Maximum of 40 attendees


Tools & Languages

Workshops will cover a variety of topics, which could include Power BI, Python, R, SAS, Tableau, and more.