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Mike Ferguson, Intelligent Business Solutions

 

Data Management Update - Reducing Cost and Time To Value In An Increasingly Complex Data Landscape

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For most organizations today, the complexity around data has increased rapidly. In the area of operations, we now have transaction processing applications running on multiple clouds as well as on-premises. Also customers, partners and suppliers are accessing these applications via APIs and mobile apps and we are introducing APIs to extend the reach of applications to other organisations. It is an API economy with self-service access. In the area of analytics, we have gone way beyond the on-premises data warehouse and data marts of old and into big data Hadoop systems, NoSQL databases, streaming data platforms, cloud storage, cloud data warehouses, and IoT-generated data being created at the edge.  Also, the number of data sources is exploding as companies ingest more and more external data such as weather and open government data. Some would say we are awash with it. Silos have also appeared everywhere as business users are buying in self-service data preparation tools without consideration for how these tools integrate with what IT is using to integrate data. At the same time, new regulations are demanding that we do a better job of governing data, and business executives are demanding more agility to remain competitive in a digital economy where the customers can churn at the touch of a mobile phone screen.    

So how can companies remain agile, reduce cost and reduce the time-to-value when data complexity is on an upward trajectory? In this session, Mike will discuss how companies can organize themselves and use data management software such as iPaaS, data virtualisation and MDM software to manage process integration across on-premises and cloud-based applications to reduce the cost of operating in a hybrid computing environment. He will also discuss how machine learning built into data management software can speed up data processing by automating data discovery to reduce time-to-value while also regaining control of data. Finally, the session will also show how a common approach to smart data management and analytics allows data and analytics to become the foundation for the 'always on’ smart business.

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