Datametica: BigData, Expertise, Experience

A customer-facing retail giant somewhere in the US posed a very unique and challenging requirement. The firm wanted to convert the voice calls recorded at the customer service desk to text and then perform sentiment analytics on that text. Datametica, the Pune headquartered Big Data ace-class player built a speech-to-text engine for the client to capture the sentiment of the conversation in the data. Datametica team analyzed the unstructured business data generated from their Customer Service Desk, including chats, emails and voice calls and evaluated a solution to capture the sentiment of the conversation in the data in terms of anger, sadness, fear, surprise, trust, anticipation, disgust and joy. Data and information are increasing rapidly; the growth rate of the information is already humongous and soon to become unpredictable. Modelling and visualizing is one of the major aspects of analytics and so to match pace with the present growth rate of data, one really needs to understand the intricacies of it as a whole. At this juncture, Datametica has achieved par excellence in Big Data architecture, Advanced Analytics and Big Data Operations. Practising their specialization amongst global organizations, Datametica provides a fast and reliable integration of Hadoop and related technologies into enterprise operations.

10 Most Recommended Data Analytics Solution Vendors - 2018

The Canadian Communications Professor, Marshall Mcluhan, once opined, “A point of view is a dangerous luxury when it’s substituted for insights and understanding.” Back in 1911, the line foresaw the upcoming orchestra between data and businesses, only to be realized in current times. While data became important, real data held the reigns of success in business world. For a typical Fortune 1000 company, just a 10 percent increase in data accessibility will result in more than USD 65 million additional net incomes. While retailers who leverage the full power of big data could increase their operating margins by as much as 60 percent. Currently, less than 0.5 percent of all data of an organization is ever analyzed and used that pinpoints the amount of potential to be harnessed. At the rate at which data and ability to analyze are growing, businesses of all sizes - large and small - will be using some form of data analytics to impact their business in the next few years.

Data analytics becomes even more cardinal and très essentiel when companies are battling for a competitive advantage. The companies end up paying more price and time when businesses are unaware of missed revenue opportunities, potential cost savings and performances. The data analytics providers need to blend self-service software, make use of data to keep IT services running smoothly and use behavioral analytics technology. Sorting through many products classified as big data analytics software can make buying decision even more difficult. Simplifying this process, CIO Insider along with expert’s views has come up with a list of “10 Most Recommended Data Analytics Solution Vendors 2018”. A distinguished panel of CEOs, CIOs and industry analysts has closely scrutinized these companies addressing the above features. We believe that the listing given by us will bring in a better clarity thereby enabling your businesses to take decisions that will sustain the test of time.