The Spring 2018 agenda will be announced shortly.
Please see below for the agenda of IBM CDO Summit, Fall 2017, for an idea of what to expect this coming Spring.
Following the launch of IBM’s CDO Blueprint, experienced CDOs & CAOs share their experiences of developing long term strategies for their data and analytics functions. What methods should be used to develop your strategic approach to data & analytics in the coming years? Responding to changes – remaining flexible and adapting to the needs, priorities… Read more.Speaking
Discussion Group Session 1
Top tips to secure the reporting line you desire from the start. Do different organizational priorities require different reporting structures, or is one preferable for a CDO? What impact does the wrong reporting line have? How can this be remedied?
Discussion Group 1B: Actionable, Accurate, and Ready Data – Establishing a Strong Governance Framework
Laying a solid foundation – ensuring well maintained data that is constantly ready for use. Realizing consistency across business lines and geographies. Balancing strong governance with the need to enable innovation.
Generating insights that reduce Inefficiencies in your business processes. How can we use data to cut costs in finance, operations, sales, and other business functions? Data as a profit-center, not cost-center – demonstrating ROI.
Disrupting the market by making the most out of your data to create new business models. Evaluating ideas and opportunities, using your data as your guide. Leveraging cognitive technologies to seek out new opportunities.
Discussion Group Session 2
Winning credibility in the early days through quick wins from long-hanging fruit. Moving beyond the early days and securing your role by delivering on long term goals. Avoiding the risk of CDAOs being a ‘flash in the pan’ – what do we need to do?
Meeting demands – consistent data packaged perfectly for regulatory agencies. Ensuring that data is always accessible for use by internal stakeholders and exploring hybrid Data Management options. Preparing data for use by external partners.
Empowering internal stakeholders to self-serve their analytics needs. In data we trust – getting others to trust the data, not their gut. Inspiring people to understand progress through regular benchmarking.
Creating new and distinctive customer experiences from your own and open source data. Getting personal – wowing customers through personalization. No more waiting – implementing real-time decisioning.
Discussion Group Session 3
Creating a compelling case for change – getting the urgency, buy-in and commitment you need. Identifying needs of internal clients and using data to empower them. Selling your services – overcoming scepticism by demonstrating value through case studies, testing, and promotion.
From data users to data stewards – Convincing colleagues of the importance of high quality data. Developing realistic policies that are simple to follow. Entrenching data stewardship as business-as-usual across all verticals within your business.
Using data to capitalize on new business opportunities. Discover trends and patterns that uncover opportunities for growth using predictive analytics. Growing your customer base with personalized experiences.
Creating data-driven products that will have lasting impact. Embedding cognitive functionality into applications and products. How can we best capitalize on IoT when devising new products?
Discussion Group Session 4
How to convince your CEO, CFO, and others of the need for investment in your organization’s data program. Securing budget in the long term, but clearly demonstrating ROI on previous investments. Working to embed a data focused culture in your organization’s leadership and allowing you to reap the financial rewards.
Ensuring well managed data, regardless of source. Meeting the integration challenge – linking up disparate data sources. Are we ready for IoT? Exploring the governance steps required.
Overcoming the divide between number crunchers and decision makers. When Unicorns don’t exist, how can we use ‘data translators’ as a bridge? An expert in communication – translating findings to impact on the business using Data Visualization tools.
Discussion Group 4D: Rise of the Marketing Machines? Boosting your Marketing Efforts with Machine Learning
Overcoming the data deluge – automation through Machine Learning. Using advanced analytics techniques for Segmentation & Personalization to maximize impact. The power of prediction – estimating churn and forecasting customer life-time value.
Keynote Panel: Nurturing the Next Generation – Building the Pipeline of Talent to Overcome Shortages in the Long Term
The current shortage of data and analytics talent is much discussed, but what actions should the CDAO community take now in order to mitigate this in future years? How can we use internal training to up-skill employees, and bred the data and analytics talent of the future within our own organizations? Discussing approaches to developing… Read more.Speaking
Keynote Panel: Delivering on the Promise of Data & Analytics – Providing Real Value to your Organization and Demonstrating Return on Investment
How to prioritize offensive, value-driven strategies to deliver on innovation whilst ensuring defensive duties are discharged, featuring real-life uses of Client 360, Metadata Generation and Trust. Finding value when the low hanging fruit has all been eaten – where to turn for long term, sustainable results to out-compete your competitors. Communicating the impact of the… Read more.Speaking