How to Develop a Data Strategy for Analytics - Seguridad Mania.com - España y América Latina

It’s hard work to uncover real business results through analytics. It is common that you spend much more time curating the data than improving your algorithms. When diving into analytics for business value, you have to roll up your sleeves and prepare to put in the work. A data strategy for analytics may include finding real data sets from many sources that can be used in training your machine as quickly and effectively as possible, but one thing is imperative, the scalability and manageability of data is critical to the success of your analytics project. In this webinar you’ll learn: >Why an analytics strategy is paramount in driving business results >Questions you should ask before building a strategy for analytics How to identify the different data needs for typical analytic workloads >How to identify the high performance and large volume data needs, and the appropriate data infrastructure for each >How to implement an effective management approach to keep your analytic workloads happy