Big data analytics is the often complex process
of examining large and varied data sets.
Big data analytics is the often complex process of examining large and varied data sets — or big data — to uncover information including hidden patterns, unknown correlations, market trends and customer preferences that can help organizations make informed and better business decisions.
Big data analytics is a form of advanced analytics, which involves complex applications with elements such as predictive models, statistical algorithms and what-if analysis powered by high-performance analytics systems.
Driven by specialized analytics systems and software, as well as high-powered computing systems, big data analytics offers various business benefits, including new revenue opportunities, more effective marketing, better customer service, improved operational efficiency and competitive advantages over rivals.
Big Data visualization is both an art and a science. It is viewed as a branch of descriptive statistics by some, but also as a grounded theory development tool by others. The rate at which data is generated has increased. Data created by internet activity and an expanding number of sensors in the environment, such as satellites, are referred to as “Big Data”. Processing, analysing and communicating this data present a variety of ethical and analytical challenges for data visualization. The field of data science and practitioners called data scientists have emerged to help address this challenge.
Because of the way the human brain processes information, using charts or graphs to visualize large amounts of complex data is easier than poring over spreadsheets or reports. Data visualization is a quick, easy way to convey concepts in a universal manner – and you can experiment with different scenarios by making slight adjustments.
The Big Data Analytics and Data Visualization Summit brings together thought leading professionals in this field to share and render information on forms of data that are often left untapped by conventional business intelligence (BI) and analytics programs. This encompasses a mix of semi- structured and unstructured data.
Attendee Companies have 300+ Employees
Attendees Company have R50 000 000+ turnover
Attendees are director level or above
Big data and the many enterprise applications it supports are evolving at a phenomenal pace. The explores Big Data in the context of one of its most popular applications: Artificial Intelligence (AI). Targeting everyone from IT decision-makers to venture capitalists, it features dedicated tracks focusing on Data Analytics, using AI for Enterprise Digital Transformation, Big Data Strategies, and Big Data for Industry Applications. It covers technologies like Predictive Analytics, Advanced Machine Learning, Data Governance, and Hadoop.
Data Visualization describes any effort to help people understand the significance of data by placing it in a visual context. Patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with Data Visualization software.
|08:45 AM - 09:00 AM||Registration|
|09:00 AM - 09:15 AM||Conference Overview by Event Technology Host|
|09:15 AM - 09:45 AM||Data Visualization Tools and Techniques|
|09:45 AM - 10:15 AM||Customer Analytics: Learning how Data Visualization helps to increase revenue and find the right target customers – via a real- life example|
|10:15 AM - 10:45 AM||Tea Break|
|10:45 AM - 11:15 PM||Visualizing Machine Learning, Incorporating Data Science and AI|
|11:15 AM - 11:45 PM||Visual Analytics techniques for Time Series Data|
|11:45 AM - 12:15 PM||Data Analytics for Intelligent decision making|
|12:15 PM - 12:45 PM||Role of a Data Visualization expert in information Management and Business Analytics|
|12:45 PM - 01:45 PM||Lunch|
|01:45 PM - 02:15 PM||Datum design rethinking Data Visualization for Dashboards|
|02:15 PM - 02:45 PM||Beyond charts and numbers – experiencing Data as art|
|02:45 PM - 03:00 PM||Tea Break|
|03:00 PM – 03:30 PM||Uncovering business insights from Time
|03:30 PM – 04:00PM||Data Visualization in the era of machines|
|04:00 PM - 04:30 PM||Data Privacy and Data Security|
|04:30 PM – 05:00 PM||Networking|
Gallagher Estates Convention Centre