The Best Text Analytics Tools: The Next Generation Of Big Data



With the increase in the demand of IT services, there are many sub-segments being opened over a period. One such segment is the field of big data which is completely a new concept and much useful from different point of views. It is all about the analysis of data and support the decisions which can be genuinely useful to the concerned industry of company.
Text examination frameworks are tied in with helping you get top notch data out of text inputs. It's evaluated that 80% of data that is important for a business originates from a type of unstructured information, quite a bit of which is text - think things like messages, reports, and even web based life posts.

Inside Big Data

The term data is a vast where it includes almost everything in a virtual world. Sensors, tweets, emails, web clickstreams, CRM information, supply chain tools – data is flooding into every business, and the businesses that have the most facile processes for divining actionable information from the deluge are going to be the businesses that make the most money.  This data deluge is not just a problem for large enterprises.  Small businesses also interact with their customers using many channels and have websites, databases and often large amounts of other data to analyze.  Hence all buzz around “big text analytics tools.”  But what does that phrase actually mean, and how does it apply to your business?
The difference between unstructured data and structured data is simple.  Computers are very, very good at manipulating structured data, and a whole suite of tools has grown up around visualizing and making predictions from this data.  Structured data is basically numbers at its core – how many times a page was visited, how long someone was on your site, where they came in from, what products they bought.   Unstructured data are things like big data text analysis (say, from a survey or from tweets), or video, or a voice recording of a customer service transaction.

The Coming of Age of Text Analytics – The Next Generation of Big Data

It can seem like a challenge to keep an ear to the ground, listening to conversations about your business, competitors, customers and suppliers.  But if you’re not listening, you’ll be surprised when the winds change.  While sometimes the surprise is good, often it is not.  And when negative conversations take place, the impact to the business can be drastic.
Fortunately, text analytics has come of age, and businesses both large and small can benefit from listening to the conversations taking place.  Just recently, Facebook announced the availability of Topic Data which uses text analytics to reveal what audiences are saying on Facebook about events, brands, subjects and activities.  Marketers use this information to build product roadmaps and make better decisions about their activities.
With the help of global big data companies the business can achieve new heights as the decisions regarding various segments can be backed by the data. The users can also categorize the same which can help to have optimum utility of present data.

Comments

Post a Comment

Popular posts from this blog

All you need to know about Model Ops!

 The way we are doing business has changed a lot and with the advent of new technology, you have to start walking hand in hand with it so that you can have the maximum benefits from them. Today we are here to discuss one such technology that is making rounds in the industry and more and more businesses are using this and having the best results for it as well. Yes, we are talking about ModelOps. So let’s first begin with what is ModelOps and what is the need for this kind of technology in our business. It has now become one of the latest approaches which are used in the operationalization of models that are used in various kinds of applications and also used synchronization that needs to happen between applications and model pipelines. This tool is very significant for this task and makes it smooth for the organization. With Multi-cloud ModelOps, it has become possible for us to maximize the use of data science and AI investments while using, tools, and models ranging from edge to co
Read more

Machine Learning for CPG: benefits of intelligent automation

Image
CPG is an acronym for consumer packaged goods, such as shampoo, laundry detergent, toothbrushes etc.  CPG artificial intelligence  is based on predicting how customers respond to a product or service and guiding them in that way. In general, CPG machine learning typically uses customer purchase data from previous purchases in order to make suggestions about future products. CPG machine learning looks at past purchases and evaluates what other factors might affect a person's decision to purchase a specific item. Benefits: CPG machine learning works by finding data patterns to provide the most accurate prediction possible when analyzing a group of consumers who have purchased a specific item. CPG machine learning is typically used to target customers specifically based on their psychographics, demographics, past purchases, and other information that can help create a more tailored customer experience. CPG machine learning has several benefits for businesses that choose to use it. CPG
Read more

Benefits of supply chain consulting

Image
What is a supply chain? The system between a company and its supplier that involves the production and distribution of a particular product to the final buyer is called supply chain. Supply chain management services have gained popularity faster and offers smart economic flow charts, competitive edge and contemporary products. But SCM is a complex process as global companies need to effortlessly accomplish an ever-growing link of investors. Therefore, it is essential to consult a supply chain consulting company. So here are the benefits of supply chain consulting: 1.        To get relevant information Supply chain management professionals are proficient in gathering useful information which is required to resolve a certain problem. Moreover, huge quantities of relevant and accurate data are needed which the professionals can present in a usable form. Besides they can do the work in very less time. 2.        To solve complex problems A supply chain consulting company can so
Read more