ESP In the News

Wield New Tech to Conquer Big Data

New Tech for Big DataBig data has changed the way businesses work with information.  While the creation and maintenance of relational databases used to be considered a comprehensive data management strategy, the increase in unstructured and semi-structured data has led businesses to require new storage mechanisms and analysis tools in order to ensure the information is being retained in the proper way and is accessible for internal research.
If you are looking for new and innovative ways to use big data to the benefit of your company, consider the following advances in big data management and analysis.
Consider the Cloud
Just as cloud storage has changed how people access business resources, the cloud has also become a haven for big data management.  Not only can it be more cost-effective to house company data in the cloud than on-premises, it can also provide access to powerful data analytics that may normally be out of reach for smaller businesses.  Since these cloud-based solutions are hosted offerings, it can also be a highly scalable solution that does not require the business to invest in physical equipment if their storage needs suddenly grow.
Institute Data Lakes
While traditional data management techniques focused on creating an acceptable model based on a preselected data set and forcing the data into the framework, a data lake accepts data as is and provides a central repository that utilizes specialized tools for data analysis.  This allows all data to be available to those performing analysis functions, and not just the data that fits a prescribed format.
Understand Customers More Thoroughly
Big data has provided an opportunity for businesses to gain a deeper, more thorough understanding of their customers.  With the integration of services across multiple platforms, including the relatively new addition of social media as a support forum, the information that can be obtained on customers’ attitudes, habits and preferences is significant.  As new systems are created that better identify potentially relevant information, businesses can make changes to their processes that almost seem intuitive.
Dynamic Response
Advances in analytics allow a business to respond to changing customer sentiment in close to real-time.  This allows incoming information to be easily integrated into larger automated processes, creating the opportunity to shift business priorities as soon as signs show a different direction may be more favorable.  Big data analysis may help identify upcoming trends before they are widely recognized which allows businesses that invest properly in the area to be able to change directions based on what is on the horizon instead of what is present within the market today.
Integrate Deep Learning
A newcomer to the data management sector, deep learning relies on using a system’s internal intelligence to recognize significant occurrences within a data set regardless of whether the specific programming for such a task is present.  As information is analyzed, the system “learns” what is most relevant to the business, and begins to make connections on its own based on that understanding.
While the technique is not as relevant for highly structured data, such as that found in a traditional SQL database solution, it shows promise for better management of big data analytics.
Looking For A Consultant to Help You Manage Big Data Effectively?
If you want to prepare your business for the future of big data analytics, ESP IT can provide the expertise you need to find the right employees to meet the needs of the future. Contact ESP IT today for more information.