Data & Analytics in the Value
Driven Enterprise
June 25 - 27, 2023
| The Renaissance Hotel | Dallas, TX, USA
Day 3: Tuesday, January 28th
8:00 am - 8:30 am
Networking Breakfast
8:30 am - 8:35 am
Chairperson's Opening Remarks
8:35 am - 9:15 am
Harnessing Continuous Intelligence to Supercharge Omnichannel Growth & Personalize the Customer Experience
Retail analytics quickly emerged as one of the most immediate applications of advanced analytics thanks in large part to the higher degree of personalization that today’s consumers demand. Sean MacCarthy, Global Head of Analytics & Segmentation at Claire’s Stores, will give us a glimpse of some of the strategies he’s leveraging to improve the customer experience while generating operational efficiencies at the brand. He’ll also pay particular focus on using alternative data sources to gain insights into customer segments which traditionally are adverse to sharing data.
Come participate in this session to develop insights into:
· How blockchain, IoT, and continuous intelligence can generate significant supply chain efficiencies
· Why the human element should work in conjunction with ETL to ensure data quality
· Crafting your data capture and integration strategy around the unique constraints related to the target market
· How to fuel omnichannel growth through sourcing of real-time, high velocity data
9:05 am - 9:15 am
Topic Generation for Interactive Closing Workshop
9:10 am - 9:40 am
Data as an Asset: Enterprise Data Governance & Metadata Management
The move toward utilizing prescriptive analytics and unlocking data and machine learning across the enterprise necessitates that organizations break up their black boxes and silos of data in order to incorporate enterprise data management as a critical component of their data governance strategy. A greater emphasis on the federation and enrichment of both structured and unstructured data brings great challenges to CDAO’s. It’s not an easy solve, but the principles and patterns are emerging as to how to SAFELY do it. At this point, CDAOs must spearhead a focus on establishing well-defined data governance strategies and frameworks that can scale to where the data is at all times without slowing down the commercial application of the data . This session will provide an agnostic framework and approach to data governance enabling both the business and engineering organizations alike to take an active role in creating data insights from consistent and trusted data sources. This approach provides a framework for CDAO’s to then better scale for the challenges of MDM, Data Quality, GDPR, CCPA, and others whereby the proliferation of data necessitates new responses than big black box deployments.
Join this session to dive deeply into
• What it means to treat data as an asset different from previous patterns
• Data Streaming, batch, and ETL options in a governed framework
• Data management automation (DatOps)
• Enterprise Data Warehouse (EDW), data lakes, data marts, and transactional systems
• Metadata management
• Data catalog, lineage, and data provenance
9:40 am - 9:55 am
Networking Break
9:55 am - 10:25 am
Business Meetings
10:25 am - 10:55 am
Business Meetings
10:55 am - 11:25 am
Business Meetings
11:25 am - 12:05 pm
The Path to Building the Data & Analytics Organization of the Future
As the roles of the CDO and CAO continue to evolve from a mere carve out of the CIO to a true seat at the table there are many questions about the ideal organizational structure. How will the roles evolve from a very tactical role to one of increased strategy, vision and leadership? How will those skills be developed? What is the ideal reporting structure to allow for true innovation and creativity?
Listen and participate in this very topical and important discussion about what the future will be and where you will fit in
