Most organizations are dealing with the question of how to get the most from their massive stores of big data.
A large percentage of this data is unstructured data, which makes the task of extracting meaningful information all that more challenging. This unstructured data is comprised of images, sound, and text. Many of our customers make inquiries about unlocking the business value from data sources such as sound and images and videos.
Although these might be the emerging trends in the new world of analytics, there is however a low hanging fruit that business can derive instant gratification from, plain simple text. Customers are beginning to realize how easily they can reap the benefits of their big data with text analysis. Using text analysis, customers can rapidly uncover new knowledge and hidden insights from their big data.
What is unstructured data? Unstructured data is information that is not confined to the traditional row-column based format. Unstructured data files may include text and multimedia content, for example, e-mail, videos, social media posts (i.e., Twitter and Facebook), photos, word processing documents, Web pages, presentations, and many other business documents. Unlike structured data that is stored in traditional relational databases, storing and performing data analysis on unstructured can be costly and cumbersome.
What is text analysis? Also referred to as text mining or text analytics, text analysis is the process of extracting relevant information by analyzing unstructured text and transforming that into structured data that can then be analyzed. Using text analysis you can model and structure the text portion of your unstructured data so it can be easily used for business analysis, research, and investigation.
Text analysis will help you identify emerging trends, and explore customer preferences then use this new information to improve and develop new products and services. For example, by doing text analysis on Twitter data, you can find out how many people are showing interest in a new product, how frequently people are talking about the new product, and if there are any negative comments or rumors about the new product. Text analysis can also be used in customer service centers to classify incoming emails and accurately and effectively respond to requests.
How do you take advantage of this untapped resource? SAP HANA has text analysis built right in to its SAP data services. SAP HANA was built to tackle real-time analytics for big data sets, but sometimes an organization’s infrastructure cannot support SAP HANA. That’s why HP ConvergedSystems for SAP HANA is the perfect solution for text analysis. With HP ConvergedSystems for SAP HANA you get a pre-configured, optimized, and tested system that is optimized for large mission critical workloads.
As a trusted HP partner for over 30 years, Rolta AdvizeX’s experience and expertise with SAP HANA and HP ConvergedSystems makes them a perfect partner for implementing and getting the most out of text analysis with HP ConvergedSystems for SAP HANA. Rolta AdvizeX helps customers plan, build and manage the transition to converged infrastructures in order to better support big data analytics, mobility and cloud computing initiatives.
Our Managed Services team can help make the transition, management, and maintenance of the new platform more cost effective and efficient. ▪