Posted on: 13 July, 2016
Author: Mahdi Hasan
I posted an article at 12 days ago. but my article still pending for approval. is it normal? we need a quick response.. and please add delete option on pending article. I can't find any option to del... I posted an article at 12 days ago. but my article still pending for approval. is it normal? we need a quick response.. and please add delete option on pending article. I can't find any option to delete an article during approval! my article was like this.. How to Modernize Your BI Implementation to Meet New Data and Analytics Demands The explosion of big data is taking the business world by storm. As the Internet of Things continues to grow, the data generated continues to increase exponentially. A 2015 research by Gartner projected that there will be over 6.4 billion connected ‘things’ by the end of 2016. This represents a 22 percent increase from 2015. By 2020, this number will have risen to over 20.8 billion. For many companies, big data is the key to developing a deeper understanding of their core businesses. However, the prevailing challenge for many businesses lies in both data management, and how to derive insights from a vast pool of unstructured data. According to Michael Hoskins, Actian’s chief technology officer, many businesses lack the appropriate infrastructure and tools that will help them exploit the full potential of big data and reap the benefits it has to offer. As business intelligence (BI) technologies continue to evolve, they exert immense pressure on traditional data management and analytics technologies. Hoskins notes that traditional tools are being strained because they cannot keep up with the speeds of data collection and neither are they able to manage the huge volumes of data collected. These technologies are also unable to “understand” the different varieties of data obtained by the business from multiple sources. In the second part of our discussion, we look at some of the effective strategies, and some of the new tools recommended for modernizing your BI implementation to meet new data and analytics demands. One of the greatest barriers to the expansion of BI systems for meeting current analytics demands is the cost and complexity of implementing these extensions. Unfortunately, many businesses don’t have the luxury of huge budgets. This slows down the entire process of upgrading enterprise BI systems. They have resulted to the acquisition of data discovery tools in a bid to achieve autonomy in purchasing of BI technologies. According to David Stodder, the director of research for business intelligence at the Data Warehousing Institute (TDWI), data discovery tools both complement and compete with existing BI tools. Source: Free Articles from ArticlesFactory.com Mahadi Hasan Tech atricle writer [email protected]