Enterprise DataOps – Curating Trusted Data as a Service from Data Lake to Data Marketplace (25-26 March 2019, Helsinki)
Data Warehouse Automation & Real-time Data – Reducing Time to Value in a Distributed Analytical Environment
Today, with most people connected to the Internet, the power of the customer is almost limitless. The Internet has given them freedom to choose. They can browse your competitors’ web sites. They can compare prices, they can view sentiment about your business, and they can switch loyalty in a single click any time, anywhere all from a mobile device. In addition, the emergence of social media sites means that customers also have a voice. They can express opinion and sentiment about products and brands on Twitter, Facebook, and review web sites and create social networks by attracting followers, and following others. For many CEOs, customer retention, loyalty, service and growth are top of their agenda. In addition improving operational effectiveness to reduce costs is also high on their priority list. The only way they can achieve this is to integrate processes, acquire more data and automate. CMOs also want access to new data to enrich what they already know about customers. New data is needed to provide insight on customer on-line behaviour for better segmentation and to understand the value of a customers’ social network and not just the customer. In addition, COOs want more data to become more effective in operations. Instrumentation is therefore being added so that operations can capture new data. With so much demand we are now in an era where data has never before been so important to business in helping to create competitive advantage. This new 2-day seminar looks at the need to capture new data sources and perform analytics for competitive advantage. It looks at digital transformation, the changes and new data sources it brings and shows how you can still govern and manage data in a more complex data landscape while accelerating time to value and delivering new insight to foster growth, reduce costs and improve effectiveness.
CDOs, CIO’s, IT Managers, CTOs, Business Analysts, data scientists, BI Managers, data warehousing professionals, enterprise architects, data architects