Teradata Connection Analytics

On October 23, 2014 Teradata announced release of the Connection Analytics system. The solution detects communications between people, products and processes, their cross impact at each other.

As note in Teradata, earlier for the analysis of chains of influence the highly specialized systems, a special set of skills and any algorithms, and Connection Analytics were required changes this situation. A system promises a possibility of the deep analysis of huge cuts of diverse data "without huge costs of time, money and resources". The communications detected by Connection Analytics allow to develop more effective marketing campaigns and also to distinguish frauds quicker and to prevent routine of clients, claim in Teradata.

Connection Analytics offers ample opportunities for the analysis of separate data bulks, without requiring at the same time essential investments of time, means and resources. The basis of Connection Analytics is the Teradata Aster Discovery Platform platform with MapReduce and Graph mechanisms which are complemented more than 100 with previously configured algorithms. Connection Analytics will allow the organizations to reveal such communications and the relations which will help to develop quicker effective marketing campaigns, to predict fraudulent activity and outflow of clients and also to provide the most high-quality service.

Connection Analytics will help the organizations:

• Identify agents of influence. An opportunity to find the message in social network which contains (or does not contain) the recommendation, and to understand its essence, gives competitive advantage to a product. Connection Analytics reveals factors which directly influence decisions of clients on purchase, helping to optimize marketing campaigns and to increase service quality.

• Reduce outflow of clients. Such companies as telecom operators, can combine traditional statistics, machine learning and the analysis of opinions with the analysis of agents of influence, it allows to shed light on customer satisfaction and on what clients hold the greatest authority proactively to process manifestations of discontent, to reduce outflow of clients and to understand resonant effect.

• Control cyberthreats. The companies can trace traffic of IP data, network and server data and also these magazines of communications. An opportunity to synthesize these data will allow to detect threats almost in real time.

• Detect attempts of fraudulent activity. Swindlers can easily create new counterfeit entities, however their accomplices and methods change not so often. Connection Analytics can reveal the suspicious patterns indicating potential fraud, tracing the known fraudulent transactions up to the website or the company.