INNODATATICS rated among the "20 Most Promising Data Analytics Solution Providers - By CIO Review"

Automatic Attendance Using Thermal Sensors

Employees are the heart of the Organizations, and those who focus on the safety and security of them are pretty much concerned about their well-being when they are in the office/plant premise. During this COVID-19 times, where the rate of transfer of virus is exponentially fast, the chances of employees getting impacted are beyond the maximum limits. But to keep the ball rolling, Organizations/plants should open up their operations within the limits of Govt. instructions. So, keeping all these measures in mind, a biometric/other traditional forms of attendance system would negatively impact the overall atmosphere. Organizations are also finding it difficult to evaluate those people who aren’t keeping well and would want to enter the office premise.

Student Data Analytics using AI and ML

Reports pertaining to University/College Administrative Department need to be highly precise and should be more sophisticated. Updating Excel-based files takes a long time and is vulnerable to human error. Often reports are not interactive and are very rigid. This increases the time consumption for University/College Administrative Department officials to take decisions, and thereby results in losing important Insights.

Celebrity Social Media Analytics

Celebrity Analytics uses Sentiment Analysis Sentiment Analysis technique that discovers polarity of opinions within a text, document, paragraph etc. This Celebrity Analysis visualizes the sentiment on a daily, monthly, and quarterly basis like at what time the people are attached to their mobile phones etc. All these can be with our Celebrity Analytics.In the world, 75% to 80% of the data is unstructured, i.e., unorganized. Very humongous information is created every day such as emails, support tickets, chats, social media conversations etc. it has been tough to analyze and understand and also expensive and time-consuming.

Social Media Analytics

Social media has revolutionized the world & opening the new unexplored areas, which the world has never seen earlier. Unethically defaming goods, programmes, organisations, stars, government policies, lawmakers, and other public figures has increased dramatically. Arab spring is a classic example of the shear strength of social media to uproot the decades of a strict rule of dictatorship. However, the same logic is applied by extremists to motivate the innocent into wrongdoing.Social media analyticshas hence become a powerful tool to bring to light these kinds of wrongdoings. Internet technology has evolved into a clever advertising tool that allows customers to achieve tons of people in a short period of duration. This poses another challenge to the companies in using advanced analytical tools to perform data mining & drawing meaningful business insights from unstructured data.

Credit Risk Analytics

Credit Risk introduces the possibility of loss due to failure to generate the payment when the balance is due. Data Analytics has begun to advance in this sector. Many companies have used the data for better understanding of the risk of their defaulter. The lenders will make use of their models to approach the customers by their liability and then allocate strategies. Credit Risk analysis contributes to the lenders with a full understanding of the customers and then enables them to predict customer behaviour. With these technologies, lenders can save their money, time, and also target the right customers.

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