BDA Europe

Big Data Analytics

12 June 2019

Steigenberger Airport Hotel, Frankfurt




The Seminars will take place from 12.15 – 13.00.

Delegates will be able to attend one seminar at the event. No pre selection is required – delegates will be able to select which session they attend onsite.



Event orientated architecture: do not be overcome by events

When faced with unexpected events, unprepared enterprises are often overcome and unable to react with the required intelligence, speed and elasticity. Such unexpected and volatile events can impact on your relationship with your customers, ability to make a sale and your need to keep confidential information secure from threat actors.

This seminar is designed to address how you can implement event-oriented architecture to support existing infrastructure.


Adding speed to your analytics journey with AI

The success stories of AI cut across all sectors and industries, from fraud detection in finance, anomaly detection in manufacturing, patient diagnosis in healthcare, demand forecasting in logistics, recommender systems in e-commerce and inventory optimisation in retail.

This seminar is for those who want to improve their event-data-insight processes with AI.


Meeting the demands of big data on enterprise applications

The challenges faced by businesses in the modern application era are centred on size, cost, speed, availability, placement of data and security. With the deployment of agile infrastructure, you can begin to address such issues by adding greater automation, elasticity, scalability, ensure that you are cloud ready and ultimately establish an agnostic platform.

We address:

  • Supporting rich infrastructure
  • Being intrinsically distributed
  • Running everywhere


The key characteristics for successful data-driven applications in production

Achieving big value from big data in production across diverse business environments is vital if you are to make the most of the sourcing, securing and analysing of data. This is true across telecommunications, utilities, heavy industry, financial and transportation.

We address simplifying your data platform by allowing logistics and processes to be handled by a digital platform and not by developers at the application level and how to deploy dataware for orchestration of data in combination with kubernetes for orchestration of applications.


Simplifying self-service data visualisation

New augmented intelligence capabilities are increasingly able to support the user, illuminate insights that BI tools miss and drive data literacy levels across the enterprise. In addition, it allows you to seamlessly search and explore across all your data, instantly informing your analysis when new ideas surface. Now is the time to take advantage of machine suggestions and automation powered by augmented intelligence.

We address, achieving total flexibility with a multi-cloud data analytics platform that supports the full spectrum of BI use cases.


The power of big data enabled by the hybrid cloud

Capturing data and analysing it is the means by which organisations secure the power of data, but without effective ways to store and process it, the concept of big data simply isn’t feasible. Whilst data warehousing is cost prohibitive it is also limiting in its capabilities; you get what you pay for. That is until the cloud showed up, of course. The cloud enables businesses to store large amounts of data and process in a cost-effective way.

Securing the right cloud provider and the right model not only shifts the burden of scaling and processing power away from the business, but also provides you with a higher level of service across your organisation.

We address:

  • Embracing hybrid cloud
  • Finding the right technical solution for your cloud strategy
  • Lay the foundation for stronger cloud
  • Set your data free
  • Deploy apps in shared environments


Deploying continuous intelligence across the enterprise

When it comes to improving your insight to action flow its important to take emotion out of the equation and allow your data to do the strategic thinking. Effective business analytics can help you mitigate against predictive and emerging risks and provide a force for increasing operational efficiency in all facets of the enterprise environment.

We address, how to adopt an easily deployable BI model, ensure that you are making the right decisions and take the right action to drive business growth.


Mastering your data management through effective governance

Effective data governance allows you to keep your clients personal data safe, protects your company’s reputation and preserves your customers’ trust. Effective management of your data governance model constitutes maintaining data availability, relevancy, usability, integrity and security.

This seminar will address:

  • Adopting a holistic approach to managing, improving & leveraging data
  • Enabling you to locate and retrieve information about data characteristics
  • Improving IT productivity & meeting regulatory requirements