Big data has already been reaping great rewards for companies, helping them to learn more about their customers than ever before. However, an emerging challenge has been how to manage and control the vast quantity of information gleaned from various data trials and schemes, and how to get the most from the results.
CA Technologies, one of the world’s largest independent software companies, has recently announced its latest tool: CA Data Infrastructure Management (BDIM). They believe it is the perfect solution to managing data infrastructure efficiently. Here, we examine this latest software, and look at further ways that businesses can successfully implement a big data environment and gain a tangible return on investment from this potentially lucrative resource.
According to IBM, 2.5 quintillion bytes of data are generated by global businesses and consumers every day. Amit Chatterjee, CA’s executive vice president for enterprise solutions , has predicted an even greater “tidal wave of data” from the anticipated 200 billion connected devices over the next few years. From Twitter traffic to purchased data, in-house data collection to commercial transactions, the analysis of information from a plethora of sources is going to be “logarithmically more complex”, says Chatterjee. No longer will basic database management tools be able to cope with the quantity and multiple sources of information.
CA’s Data Infrastructure Management software is able to work across a variety of vendors and tools. According to senior vice president for product management David Hodgson, it will provide “a single pane of glass to manage all big data environments”. With a recent survey revealing that 55% of small and medium enterprises (and 70% of all businesses) have implemented or planned at least one data project, technologies such as CA’s soon-to-be-released software may provide the crucial solution to analysing information in a practical way.
With the predicted influx in data in future years, it is essential that businesses implement processes and software that will withstand data growth. Many large companies have already started preparing for this, but smaller-sized businesses should also get ready for the future of big data. For instance, wireless infrastructure should constantly be upgraded to cope with the increase in bandwidth consumption, for example from apps allowing access to data results on smartphones and tablets.
On a more analytical level, companies should aim to have a clear vision about what they want to achieve from their data processes in order to get the most from their investment in business intelligence. Whether you’re looking to gain a more complete picture of your customers or optimise your business processes, for example to improve supply chain or cash flow, the goal of your company’s data research will be a key factor in determining the type of data initiative you should implement. Business owners might benefit from hiring the services of a data architect, who will be able to collate the company’s existing data from all its various sources, and point towards the right direction to optimise the research.
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