Day 1: Sunday, October 20th
10:00 am - 10:40 am Registration
10:40 am - 10:45 am Orientation
10:45 am - 10:55 am Thoughtexchange Technology Introduction
10:55 am - 11:00 am Chairperson's Opening Remarks
11:00 am - 11:40 am How Data & Analytics is Driving the Transformation of BFSI
We are past the point of getting “Buy In” to a Data Driven Culture but well short of total top down and organization wide adoption of that culture. Hear how data executives have turned leaders into evangelists, broken down silos, made data easier to access and interpret and made every decision a decision backed up by data.
Learn how S&P Global:
•Gets Top Down support for the Data Driven Culture
•Makes data accessible to all employees to make quick decisions
•Rewards changes in behavior towards Data Driven Decisions
11:40 am - 12:10 pm How PNC Financial Group is Implementing RPA to Drive Effectiveness & Efficiency
Many institutions and organizations have cracked the code to build sleek and powerful data analytics into their day-to-day operations and reporting. However, in order to continue to reduce risk and gain additional effectiveness and efficiency, you must explore and seek additional tools and technologies (Artificial Intelligence) to assist in the effort. Using Robotics Process Automation (RPA) is a way to gain additional effectiveness and efficiency your organization could be looking for.
Hear strategies for:
· Ensuring your organization is ready to embark in the vertical integration from data analytics to RPA
· Assessing and determining the right opportunities for RPA
· Employing the right resources
· Employing the right methodologies to ensure a successful project implementation
Joseph WashingtonSenior Vice President, Independant Risk Management
PNC Financial Group
12:10 pm - 12:40 pm How to Build a Modern Data Foundation
Marketing & business leaders are driving sweeping digital transformation strategies, including initiatives such as next best experience, personalization, omni-channel customer experience, and compliance with customer-centric regulations such as GDPR and CCPA. The common denominator to all of those initiatives is having a solid data foundation and a Customer 360. Most organizations have tons of customer information residing across many systems and silos, but customer profiles tend to be less than 20% complete and lack insights from unstructured data including web chats and emails. Getting to 100% doesn’t happen with traditional matching capabilities or from raw data in a lake. It requires modern capabilities including Machine Learning, Natural Language Processing, graph visualization and more to take full advantage of all data.
In this keynote session, David Corrigan, VP Products, Customer Insights at Informatica (former CEO at AllSight), will share a framework for how to build an intelligent Customer 360 and give examples of how enterprises are acting on complete 360 views of their customers.
David CorriganVP Products, Customer Insights
12:40 pm - 1:40 pm Networking Lunch
1:40 pm - 2:10 pm Is Your Customer Behavior Data & Analytics Growing Revenue and Increasing Retention?
Most companies have a good handle on the demographics of “who their customers are”. But how many feel very confident that they truly know “what their customers do”? Leveraging behavioral data allows more precise and relevant offerings to new and existing customers. Accessing and acting on this data is a key to creating a competitive advantage by improving the entire customer journey.
Hear how organizations are:
•Delivering increasingly personal customer experiences
•Lowering the cost of customer acquisition
•Creating upsell and cross sell opportunities
2:10 pm - 2:40 pm Business Meetings
2:40 pm - 3:10 pm Business Meetings
3:10 pm - 3:40 pm Business Meetings
3:40 pm - 3:55 pm Networking Break
Masterclass3:55 pm - 4:40 pm Why 85% of Data Science Projects Fail
Data science has now become a major area of investment. A good data science practice can have a significant impact on customer relationships, revenue, operations, supply chains, risk management and many other business functions. Building a data science practice is not easy and has several limitations - the data science process is complex and time consuming, experienced data science talents are a scarce resource, making it extremely difficult to scale the practice. 2019 brings hope with the introduction of data science automation platforms that helps accelerate the process and improve productivity. In addition, automation democratizes data science by enabling existing resources, to execute data science projects.
Brainweave3:55 pm - 4:40 pm Using AI as a Proactive Approach to Data Quality
One of the biggest challenges for enterprise wide adoption of data informed decisions is a lack of confidence in the quality of the data being analyzed. It is not simply frustrating when the data being processed isn’t correct, it undermines confidence and adoption of the data driven culture.
- How a proactive approach to data quality instills confidence in the resulting analytics
- Help business users make quick and impactful decisions
- Avoid frustration and wasted time from faulty data
4:40 pm - 5:20 pm Demonstrating ROI to Your Stakeholders to Win Support
While there is definite buy in to the concept of a data driven culture, being able to clearly demonstrate the ROI of specific projects and initiatives remains as important and difficult as ever. In today’s environment, it isn’t just an increase in revenue. Hear how these data leaders have shown the savings from data driven operational changes and how they measure and convey the value of increased employee production derived from modeling.
- How to make ROI based cases to get new projects funded
- How to establish the value of data driven decisions
- How to attribute cost savings to new initiatives
Thomas DunlapChief Data Officer, Information Services and Group Data Governance
London Stock Exchange Group (LSEG)
5:20 pm - 5:35 pm Collaborative and Courageous Leadership
Learn how innovative and dynamic leaders are leading the way by having courageous conversations within their organization. Discover how organizations are creating a culture that promotes openness, transparency and collaboration by empowering their employees to share their voice and consider the thoughts and ideas of others; shifting the corporate paradigm from closed and knowing to open and learning. In this session you’ll learn what collaborative and courageous leadership means to you and those around you.
5:35 pm - 6:05 pm Improving Data Quality by Improving Data Governance
A lack of confidence in data accuracy is a significant inhibitor in the drive for adoption of a data driven culture. Human error is still the most common cause of data errors such as the creation of multiple versions of the same data. Organizations that create clear ownership of data sources have the ability to provide users with key information about the data such as the lineage, definition, owner and quality improves user confidence and increases the adoption of self service tools.
This session will reveal:
• Defining clear ownership and accountability of data quality
• Developing tools to encourage self sourcing of data
• Improving data quality to drive adoption
These 10-minute presentations will offer innovative approaches for managing the growing demands on data & analytics units: