BDA Europe

Big Data Analytics

12 June 2019

Steigenberger Airport Hotel, Frankfurt




Session ONE – Becoming a data-centric organisation through value extraction & developing your digital eco-system

  • Building & delivering your data and analytics strategy
  • Defining organisational capabilities & requirements
  • Bringing harmony to your data flows
  • Improving the relationship between producers & consumers
  • Big data & analytics governance modelling
  • Advancing ML & AI through augmentation
  • Achieving trust in automated decision-making processes
Conference Chair’s Opening Address
Building & Delivering your Data and Analytics Strategy

Dr Nedim Dedic, IT Data Architect, Raiffeisenverband Salzburg

One of the most consistent queries which occupy the thoughts of enterprise leaders is ‘’how do I build and develop our data and analytics strategy’’. One of the primary reasons for such concerns is the speed at which data and analytics is changing, which in turn complicates the way businesses seek to utilise its capabilities and presses the need for the development of both workforce upskilling and organisational restructuring.

Our opening address explores how best to build a digital strategy which fully incorporates data and analytics, how incorporation supports a holistic approach, enables transformation and delivers on key business objectives through identification and dissemination of best practice.

Defining Organisational Roles and Responsibilities

In pursuit of becoming an increasingly data centric business, key enterprise decision makers and influencers are increasingly looking to organisational roles and responsibilities to identify strengths and weaknesses within data and analytics teams. Equal to this is the need to continuously monitor and develop your teams through upskilling and performance measurement.

We address the key roles and responsibilities required for success in data and analytics, how such roles and responsibilities are situated within an enterprises organisational structure, the forces which necessitate change and the impact on skills.

Bridging the Gap between the Data and the Business World

Vijay Pravin Maharajan, Data Analytics Expert, Siemens

After having graduated from one of the Top-notch Technical universities (Technical University of Munich), and having got professional experiences from huge market-players like Telefonica GmbH, Volkswagen AG and Siemens AG, I now feel that I have the responsibility to share my views on the never-ending story of the vital gap that exists between the Data and the Business world. There is always this talking point on how to bridge the gap, and to bring more values and insights from the data much faster than it is now. Management always expects faster and clear-cut results, without having a clear understanding about data, whereas Data people are not certain about which way to proceed.

•Why is there a gap? – Where are we lacking? – What do we need to do? – How do we do it?
•Decision making – Data / Decision Scientist
•Key of good communication between various floors in an organization
•Social skills that plays a handy role

Data operationalisation: the relationship between producers & consumers

All organisations experience similar dilemmas with data which go beyond the typical issues of sourcing, recording and governing. The fragmented relationship between producers and consumers is regarded by many as the primary cause for concern which reinforces existing difficulties. Defining the how and why of data creation, what it represents and the value to be gained all lie within the space between producers and consumers.

We address the increasing significance of DataOps, its potential to resolve the disconnect and how you can begin road mapping implementation.

Effective data & analytics governance for dynamic performance

Just as all elements of the enterprise D&A landscape must ensure that they are fulfilling their roles and responsibilities, so too must your data and analytics governance model move beyond being viewed as a static, policy centric factor.

To ensure successful implementation and enforcement of the policies designed to give character to your governance model its important to allow such policies to be both flexible and context relevant.

We address:

  • Adaptive governance practices
  • How such practices support business initiatives
  • The damage of maintaining current practices
Questions to The Panel of Speakers
Refreshment Break Served in the Exhibition Area
Advanced Analytics & Artificial Intelligence – From use cases to an integrative operative approach for the CFO area

Bernd Kälber, Program Manager Advanced Analytics & Artificial Intelligence – Digital@Finance,

The parallel development of Big Data and Artificial Intelligence methods has reached a level of maturity that makes their application relevant in the CFO area of companies. One approach is, for example, to apply machine learning algorithms to certain data areas in such a way that economically relevant hypotheses are tested or planning and forecasting are supported by advanced analytics methods.

We will take a closer look at two specific use cases to understand how this approach can be applied in the CFO area. In order to achieve the whole added value of these concepts, in opposite to several more or less independent use cases, the overall goal for the CFO area must be to arrive at an integrated functional approach for Advanced Analytics & Artificial Intelligence applications.

The anatomy of high technology decision making processes

Given the high altar upon which disruptive technology has been placed, it is easy to forget that we still require the ability to gain an insight as to how automated decision-making processes are conducted and the extent to which we can trust in the results achieved. Contained within such conclusions can be harmful biases which impact on regulatory compliance, your ability to innovate a product offering following automated consumer feedback which is misaligned with reality and inaccurate financial forecasting.

We address:

  • How to build trust in your processes
  • Which models to deploy in decision making
  • Understanding the models at your disposal
  • Knowing when to apply decisions reached
Questions to the Panel of Speakers and Delegates move to the Seminar Rooms
Seminar Sessions
Networking Lunch Served in the Exhibition Area

Session TWO – Future proofing your investments with the right technology, architecture and infrastructure

  • Women in technology panel discussion
  • The impact of digital twins on enterprise apps
  • Self-service analytics for advanced insight
  • Deploying continuous intelligence tools
Conference Chair’s Afternoon Address
Panel Discussion: Women in smart tech

Vidya Munde-Mueller, Founder | Women in AI Ambassador | {Deutschland} 

Mona Szyperski, Co-founder Women Techmakers Frankfurt/ Rhein-Main

Marie-Kristin Vuzem, Data Strategist, Dentsu Aegis Network Austria

Afternoon Networking and Refreshments served in the Exhibition Area
Wait, I'm from marketing. How did I get here?

Marie-Kristin Vuzem, Strategist, WIEN NORD + NOW

The cliché of marketing and technology and the misunderstanding between them is all too often fulfilled and lived in theory and practice.

The content of my talk is primarily concerned with a report on my experiences in training and the industry. As well as the connection between marketing and data science. I would also like to emphasize how important it is that the two topics must be symbiotic in order to achieve the best possible result. Especially with regard to today’s data landscape.

As a career changer, you often have a different perspective. More objectively with the out-of-the-box approach. This has advantages, but you are also often disadvantaged.

• Field report of a newcomer in the field of Marketing and Data Science
• Clearing up prejudices in the area of marketing and IT
• Importance of the interplay of marketing topics and data science based on the example of predictive behavioural targeting

Creating the right environment for self service analytics

Whilst current analytics and business insight tools are deployed across many organisations, truly agile, well governed and impact minded self service tools are still out of reach for many. Many are torn between being overly centralised or too anarchic in their deployment methods.

We address, identifying best practice starting points, how to manage evolution and how best to manage necessary expansion.

The pursuit of continuous intelligence

For many enterprises, the achievement of continuous intelligence remains elusive as they seek to better revenue generation, the allocating of resources, the relationship with their customers and other important elements. For those who have managed to properly deploy, the benefits range from quantifiable benefits in revenue, dramatically improved customer relations and reliable business performance metrics.

We address, best practice for deployment, the reason behind its popularity and what makes for a successful implementation.

Questions to the Panel of Speakers
Closing Remarks from the Conference Chair
Conference Closes

Please note:
Whitehall Media reserve the right to change the programme without prior notice.