Business intelligence meets data science challenges and opportunities

January 30, 2020 | USA

Business intelligence and data science are important sub-areas of the increasingly important and extensive topic "Data & Analytics". Both areas have their own culture, tools, procedures and histories, their technical terms and methods. Despite the diversity, there is also a large intersection and opportunities in the collaboration, but challenges also have to be overcome. In our next Meetup on January 30th. it's about this collaboration between business intelligence and data science. We are pleased to be able to hold our Meetup this time in the Digital Workbench directly on the Hohen Wall in the center of Dortmund.

Spotlight

Welcome to the results of our study about analytics and analytics platforms. Our latest research indicates that the use of analytics continues to evolve in most organizations, and that many organizations are on the path to using analytics strategically. The data and insights in this report are the result of a two-part research process. The first phase consisted of in-depth interviews with professionals in 132 business and government organizations. These discussions were based on a common set of 15 questions asked of analytics business sponsors, IT decision-makers, heads of analytics and data scientists. The findings from this phase then informed the second part of our research, an online global survey that attracted 477 qualified participants who answered 26 questions.


OTHER PAST CONFERENCES

Chief Data & Analytics Officer Exchange

January 30-February 1, 2022 | USA

Join fellow data & analytics leaders in Beverly Hills, California for the CDAO Exchange, January 30th - February 1st! We look forward to bringing together the data & analytics community to learn, connect and benchmark together, all while continuing to offer unmatched live speaker presentations from leading data & analytics executives.

Data Science Salon

February 16, 2022 | USA

Data Science Salon will unite the brightest leaders in finance and technology across the nation in data science fields. It is the only industry conference that brings together specialists in the finance and technology data science fields to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere. Get the most current state of current industry trends and innovations in AI and ML in the Enterprise through DSS podcasts, exclusive content, Webinars, and Live Training.

Data Reliability Engineering Conference 2021

December 14, 2021 | UK

Data has become a core competitive advantage for modern organizations — making data reliability more important than ever. Driven by this growing need, the tools, techniques, and best practices for keeping data fresh, accurate, reliable, and trustworthy are rapidly evolving. This renaissance for data tools and best practices is changing the game up and down the entire data stack. To unlock the full potential of their organization’s data, every organization needs to take an engineering approach to data reliability.

Next Generation Data Centers 2021

November 30-December 1, 2021 | USA

The data center market is currently experiencing significant growth, and is forecast to be worth 59 billion by the year 2025. But while the market is growing, it is also undergoing a structural shift. Technology such as 5G, and the increasing demand for faster connectivity, will mean that in house data centers increasingly give way a hybrid model that blends the best attributes of in-house, colocation and edge computing for enhanced processing power.

Spotlight

Welcome to the results of our study about analytics and analytics platforms. Our latest research indicates that the use of analytics continues to evolve in most organizations, and that many organizations are on the path to using analytics strategically. The data and insights in this report are the result of a two-part research process. The first phase consisted of in-depth interviews with professionals in 132 business and government organizations. These discussions were based on a common set of 15 questions asked of analytics business sponsors, IT decision-makers, heads of analytics and data scientists. The findings from this phase then informed the second part of our research, an online global survey that attracted 477 qualified participants who answered 26 questions.

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