Analytics

  • Analytics help you make informed decisions with the help of numbers, trends, graphs and charts. We have the technology to make unbelievable analytics and data visualization with the vast amount of data available with our customers. 

  • Analytics often involves studying past historical data to research potential trends, to analyze the effects of certain decisions or events, or to evaluate the performance of a given tool or scenario. The goal of analytics is to improve the business by gaining knowledge which can be used to make improvements or changes

Purchase Analytics

Purchase analytics or procurement analytics is the analysis of what happens in a company's purchasing department.  One can analyse whether the employees in the purchase department are adhering to the purchase strategy and whether the stocks and inventories are optimised.  With data analytics, we analyse vendors and their procurement techniques, in order to provide complete information about all kinds of purchases done in an organisation. By conducting purchase analytics one can save a lot on procurement costs.

Expense Analytics

Expense analytics are analytics of all the expenses that any company has incurred. With the help of expense analytics, businesses can compare expenses with budgets and ensure that they are not overspending or indulging in wasteful expenditure. Using data analytics, we analyse expenses of different categories by collating data from different sources, in order to provide complete analytics of organisational expense. These expense analytic reports give the companies' finance teams a better and immediate visibility into expenses.

HR Analytics

Human resource analytics (HR analytics) is the analytics which involves the people in any organization and this is the most complicated and widely used analytics process.  One can use analytics process to the human resource department of any organization. Using data analytics, we analyse employee skill sets and their performance against set standards, in order to understand  the supply and demand gap for different projects catering to service sector. 

SAP Solution Manager

SAP solution manager is a platform which is integrated to align business with IT, on to one particular business process platform, and to drive it from a common understanding of business values, business models, operating models and solutions powered by IT. 

SAP Solution manager supports SAP and non-SAP components in all four value chains. In addition, while it is an integrated platform across all four value chains, it is also open to integrate into 3rd-party tools complementing the SAP solution manager.

IP Intelligence

Organisations today are exposed to a variety of potentially malicious attacks from rapidly changing IP addresses. Inbound and outbound botnet traffic such as distributed denial of service and malware activity can penetrate security layers and consume valuable processing power. IP Intelligence incorporates external, intelligent services to enhance automated application delivery with better IP intelligence and stronger, context-based security.  Having the ability to detect and block bad actors before they hit your data center provides a major advantage in your network protection scheme. 

Risk Analytics

In any organisation, the risk analysis process involves identifying and analysing potential issues that could impact critical projects or key business initiatives negatively. Once such potential risks are analysed the concerned teams in the organisations work towards mitigation or complete avoidance of those risks.

Risk analysis is performed by considering the probabilities of adverse events caused either by natural processes like severe storms, earthquakes or floods. Risk analysis also involves analysis of adverse events caused by malicious or inadvertent human activities. 

Sentiment Analysis

Opinion mining (also known as sentiment analysis or artificial intelligence) refers to the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information.

Sentiment analysis is widely applied to the voice of the customer materials such as reviews and survey responses, online and social media, and healthcare materials for applications that range from marketing to customer service to clinical medicine.

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