Smart Infrastructure & Smart Applications for the Smart Business – Infrastructure & Application Performance Monitoring
Data Warehouse Automation & Real-time Data – Reducing Time to Value in a Distributed Analytical Environment
– Building a Foundation for the Data Driven Enterprise
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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
VALUE DRIVEN MODERN DATA ARCHITECTURE
For most organisations today, their data landscape is becoming increasingly more complex. Transaction systems are now running in one or more data centres and also in multiple clouds and API Gateways are everywhere. Also, multiple data warehouses and data marts often exist and big data analytical platforms and cloud storage are now in use. In addition, new data sources continue to grow and new data collected in multiple places including at the edge, in cloud storage, in NoSQL data stores, and data warehouse staging areas.
So how do you deal with all this to ensure data remains trusted and governed while also reducing time to value and producing high value insights? This 1-day class looks at this problem and shows how to build a modern data architecture to manage data in a distributed and hybrid computing environment.
- Module 1: Digitalisation and Digital Transformation
- Module 2: The Impact of Digital Transformation on Data
- Module 3: Establishing a Data Strategy for the Digital Enterprise
- Module 4: Key Technology Components in a Modern Data Architecture
- Module 5: Designing a Modern Data Architecture to Deliver Business Value
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