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combine time series analysis with many other issues in order to make decisions on when to lend<br />

money to these different borrower segments, or decisions on the interest rate charged to members<br />

of a portfolio segment to cover any losses among members in that segment.<br />

Risk Analytics<br />

Predictive models in the banking industry are developed to bring certainty across the risk scores<br />

for individual customers. Credit scores are built to predict individual's delinquency behavior and<br />

widely used to evaluate the credit worthiness of each applicant. Furthermore, risk analyses are<br />

carried out in the scientific world and the insurance industry. It is also extensively used in<br />

financial institutions like Online Payment Gateway companies to analyze if a transaction was<br />

genuine or fraud. For this purpose they use the transaction history of the customer. This is more<br />

commonly used in Credit Card purchase, when there is a sudden spike in the customer<br />

transaction volume the customer gets a call of confirmation if the transaction was initiated by<br />

him/her. This helps in reducing loss due to such circumstances.<br />

Digital Analytics<br />

Digital analytics is a set of business and technical activities that define, create, collect, verify or<br />

transform digital data into reporting, research, analyses, recommendations, optimizations,<br />

predictions, and automations. This also includes the SEO (search engine optimization) where the<br />

keyword search is tracked and that data is used for marketing purposes. Even banner ads and<br />

clicks come under digital analytics. A growing number of brands and marketing firms rely on<br />

digital analytics for their digital marketing assignments, where MROI (<strong>Marketing</strong> Return on<br />

Investment) is an important key performance indicator (KPI).<br />

Security Analytics<br />

Security analytics refers to information technology (IT) to gather and analyze security events to<br />

understand and analyze events that pose the greatest risk. Products in this area include security<br />

information and event management and user behavior analytics.<br />

Software Analytics<br />

Software analytics is the process of collecting information about the way a piece of software is<br />

used and produced.<br />

Challenges<br />

In the industry of commercial analytics software, an emphasis has emerged on solving the<br />

challenges of analyzing massive, complex data sets, often when such data is in a constant state of<br />

change. Such data sets are commonly referred to as big data. Whereas once the problems posed<br />

by big data were only found in the scientific community, today big data is a problem for many<br />

businesses that operate transactional systems online and, as a result, amass large volumes of data<br />

quickly.<br />

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