Seven Ways to Get Started With Big Data

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Processing Big Data is not about replacing your data management systems; it’s about complementing those environments. Big Data processing tools (like Hadoop and others) will not replace traditional warehouse and BI platforms in your organization. In fact, Hadoop isn’t the only way to solve Big Data problems. Most traditional enterprise data warehouse platforms such as TeradataOracle ExadataIBM Smart Analytics and EMC Greenplum all have solutions for dealing with large amounts of data. The bottom line is, ensure that you are integrating your Big Data strategy with your current data warehouse and BI platforms.

Big Data enables organizations to target audiences much more precisely and at a much more personal level, thereby increasing customer loyalty. Many companies are beginning to realize the benefits of Big Data and are starting to use their customer data more effectively, leading to much better insight on consumer buying patterns/preferences etc. Ultimately, this is allowing companies to increase their cross selling opportunities and build better relationships with their customers. With the advent of Big Data, companies now have an opportunity to harness the power of real-time information and use analytics to interact with their consumers in real time.

Smart companies are realizing that unleashing the power of Big Data insights is the key to staying ahead. And, while it may seem like a daunting task, companies that are making Big Data and analytics a cornerstone to their sales and marketing strategy are undoubtedly ahead of their competition.

The benefits of Big Data should be clear: understanding your customer, improving customer loyalty and gaining competitive advantage.  So how do you start? This slideshow features seven tips identified by Frank Palermo, senior vice president - Technical Solutions Group, Virtusa, to help you get started.

 

Related Topics : Business Intelligence Vendors, Data Quality, Data Warehousing, Key Performance Indicators, Knowledge Management

 
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