IDC expects the market for EMEA Big Data-related data centre infrastructure spending to triple in size over the next three years.
For many years, companies have been building data warehouses to analyse business activity and produce insights for decision makers to act on to improve business performance. These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse. Typically, a history of business activity is built up over a number of years allowing organisations to use business intelligence (BI) tools to analyse, compare and report on business performance over time. In addition, subsets of this data are often extracted from data warehouses into data marts that have been optimised for more detailed multi-dimensional analysis.
Big Data and Analytics allow organisations to gather invaluable information, such as who their best customer are and how to keep them satisfied, as well as where/how to find more customers like them.
Three Key Areas to Drive Use of Big Data and Analytics:
1. Build a culture that infuses analytics everywhere.Empower all employees to make data-based decisions, instead of relying on instinct and past experience.
2. Be proactive about privacy, security and governance. Ensure that the data being analysed is safe, secure and accurate.
3. Invest in a big data and analytics platform that is tuned to the task of handling all types of data and analytics, regardless of form or function.
There is a huge skills gap around big data and the ability to provide the right resources to it in terms of deployment and management. One thing that is changing is that executives in C level positions generally have some basic understanding.
By Mary Shacklett at TechRepublic
Here’s what an IT leader needs to ask cloud service providers about storage, preparation, and analytics capabilities to ensure their organization’s big data is secure.