Matthieu Joosten
Industry Leader for Telecoms in Europe, SAS
bio
Engage customers with confidence. Turn your customer data into better experiences.
This two-day forum will focus on the shifting landscapes and capabilities of Customer Intelligence (CI) data and how CI analytics play a critical role in experience management across the communications industry.
Now more than ever, organisations are required to use customer intelligence data to make real-time and accurate decisions. And then create relevant and personalised experiences. At SAS, we know that it is not without its challenges. We understand that your challenges are constantly evolving and are also often more specific and nuanced in the communications industry, to name a few:
- High volume of data sources (network data, usage data, product data, consumer data)
- KPIs to be managed (arpu, churn, NPS, profit, satisfaction)
- Decisions to make (upsell, cross-sell, retention, on-boarding)
- When to make decisions (real-time, on-demand, broadcast, batch)
Together these challenges create a dynamic decisioning world. SAS aim to help clients navigate these by sharing experiences and lessons learned from your industry colleagues and peers. Not only does this allow for deeper and more relevant discussions, it also provides opportunities for you to network with likeminded individuals from across the globe.
SAS will also paint a vision for the future, create a view on the industry today, and outline how our capabilities can help you succeed in overcoming the challenges you face.
Agenda
Monday, 04th May | ||||
1:00 p.m. | Registration & Welcome (tea & coffee) | |||
1:30 p.m. | Welcome remarks & introductions | Adrian Carr, Head of Marketing AI and Decision Science | ||
1:45 p.m. | The Customer Intelligence (CI) comms & analytics landscape | Covering the latest trends and challenges in the communications industry, across the vendor landscape, operators, market news and more importantly how these may impact upon your consumers, and your businesses. | .Matthieu Joosten, Global Communications Industry Leader | |
2:45 p.m. | Tea & Coffee break | |||
3:00pm | The path towards customer journey optimisation - Discussion | A walk through the recent progress SAS have made into solving the Customer Journey Optimisation challenge. SAS have approached this challenge iteratively by first solving the attribution challenge – what is contributing to success – to then move on to what can I do to improve probability of success. | Adrian Carr, Head of Marketing AI and Decision Science | |
4:00pm | Customer Experience 2030 – a look into the crystal ball | The changing customer expectation towards the experience brands provide is obviously changing. SAS conducted a global survey in order to undermine the “gut feeling” with empirical data. Find out more about the 2030 paradox and how brands can prepare themselves for the paradigm change in digital trust and loyalty. | Manuel Tönz, Head of Customer Intelligence, SAS Switzerland | |
4:30 p.m. | Customer Intelligence in Action: Use cases | |||
5:00 p.m. | Day 1 summary and conclusions | |||
5:30 p.m. | Day 1 concludes | |||
6:30 p.m. | Networking Dinner: Location TBC |
Tuesday, 05th May | ||||
9:00 a.m. | Registration & Welcome (tea & coffee) | |||
9:30 a.m. | Day 1 re-cap | |||
9:30 a.m. | Product Management Update | We highly value our customer feedback, and in this session will we not only share some of the innovations that are coming in SAS Customer Intelligence in the near future, but also give attendees an opportunity to comment on, and make recommendations for future product features and enhancements. | SAS Product Management | |
10:30 a.m. | Tea & Coffee break | |||
11:00a.m. | Closing remarks: The Future of Customer Intelligence | Adrian Carr, Head of Marketing AI and Decision Science | ||
12:00 p.m. | Networking Drinks & Lunch | |||
1:00 p.m. | Event concludes |
Speakers
Adrian Carr
Head of Marketing AI and Decision Science, Global Practice Customer Intelligence, SAS
bio
SAS Institute
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Successful execution of an analytics, and thereby AI strategy, needs the right balance of choice and control.
Choice
Creativity and innovation flourish in open spaces. You need flexibility and freedom to attract the best analytical talent, use a wide variety of techniques and develop processes that work best. You need the flexibility to use multiple programming languages and analyze any data in any environment and to keep up with accelerating demands.
Control
Analytics chaos can creep up. Once you lose control of your data, you lose trust in the system and its outputs. Transparency, governance and security become essential for maintaining trust in models and analytical results. Becoming even more critical as you scale development, monitoring and refinement of analytics applications and their associated processes.
At the intersection of data, software, and ingenuity, the future is being redefined. After all, when curiosity meets capability, progress is inevitable.