Customer Analysis

The goal of each business is of course to have satisfied customers, which can bring us enough revenue to have a sustainable and operating business. Customer Analysis gives us insights into these customers – their preferences, habits, amount of money they are able to pay, … For the existing customers we usually have a lot of data from various communication channels, such as call center, social networks, emails, … All of these data sources combined allow us to more precisely target our customers, and make decision process easier. Once we properly collect and organize these sources, we can properly segment our customers, tailor our offer by their personal habits, and prevent them from churning before it happens.

Industry

  • Retail
  • Telco
  • Financial institutions
  • Advertising and Marketing

 


Social Media Analysis

Social Media channels feed us with very significant information on customer behavior and preferences – both from our potential and existing clients. Proper utilization of these channels benefit organizations in different ways. First of all, we can get insights into customer opinion and sentiment, when it comes to our or competitor’s product. Social media communication with clients is much more direct than through traditional communication channels, so companies need to be really agile in this field and find the best ways to communicate the message to the client. Variety of different metrics are developed for this purpose. Since the biggest part of this communication is public and widely accessed, the companies should take a special care to lower the risk of negative campaigns, or try to reduce their effects if they unfortunately already happened.

Industry

  • Retail
  • Telco
  • Financial institutions
  • Advertising and Marketing

Clickstream Analysis

Events logged from web site or application deliver us information about what product, service or item is interesting to our clients, and where do we need to improve. With advanced analytics, we can find the most relevant content, and try to deliver it as soon as possible to clients. By identifying the paths that clients usually take when they purchase some product from our web application, we can then boost other visitors to visit the same path and to have a conversion at the end. This approach is combined with log analysis, market basket analysis, product development and many other approaches, and they make sense when they are mixed together.

Industry

  • Retail
  • Telco
  • Financial institutions
  • Advertising and Marketing

Market Basket Analysis

Market Basket Analysis is a standard technique used in variety of industries to figure out which groups, or baskets, of products customers are more likely to purchase together. With capability to store many year’s worth of data across all of our channels and products, we can get better confidence in our analysis. The years of research in this field has proven that people tend to behave similarly, so it is of great importance to identify these groups of customers with similar behavior, and then recommend products to them based on what other customers within a group have bought. This can be easily applied for both cross-sell and upsell opportunities.

Industry

  • Retail

Recommendations

The main idea behind this approach is to identify patterns in the way that customers do their purchase, and to identify which groups of products certain customers by. By successfully identifying patterns, we can then recommend products that will be interesting for certain customers based on just one or a few purchases. This is especially convenient for web shops, where we can deliver recommendation to a client in real time, and tailor an offer towards each client separately, based on their individual habits and preferences.

Industry

  • Retail
  • Telco
  • Financial institutions

Product development

By analyzing different points of product usage we can identify the way that customers are actually using our products. It is not unusual that the way the customers are using the product is different from our perception of the way that it will be used. Product and usage analysis can benefit in terms of creating new products or upgrading the existing ones. In this process, it is crucial to gather the customer behavior and usage data, customer sentiment data and complaints from all the communication channels towards client to identify patterns and prevent the possible problems, all with a purpose to improve customer loyalty and satisfaction.

Industry

  • Retail
  • Telco
  • Financial institutions
  • Advertising and Marketing

Anomaly Detection

Anomaly Detection is the identification of events or observations which do not conform to an expected pattern. It can be used for different purposes and different segments within an organization. In many use cases it is strongly connected to the security systems. One of the usual use cases is detecting fraudulent events that can harm the whole system, or detecting network attacks. Anomaly Detection can also identify defects within a system, and that information can be used to improve the products and prevent the failures.

Industry

  • Telco
  • Financial institutions

Log Analysis

Logs are a very important component that provides the information on potential bottlenecks and problems within an application or system. By analyzing logs, we can get valuable insights into what paths are most popular in our web application for our users. Or to perform root cause analysis for identified bottlenecks. By monitoring logs, we can also make sure that our infrastructure performs well, and that our applications are up and running. Having a centralized place within an organization for handling logs can significantly cut the costs and improve the availability of applications and systems.

Industry

  • Retail
  • Telco
  • Financial institutions

Network Optimization and Monitoring

The way businesses operate today has significantly moved towards product differentiation and tailoring the offer toward individual needs. Many companies today operate with many applications and system in their offer, which at certain points are sharing the same infrastructure. People tend to use different applications at certain time during the day, so our network and infrastructure will have peaks with high loads of customer traffic. The only way to deal with this challenge is to properly plan, monitor and manage infrastructure, and identify bottlenecks, by analyzing variety of data generated by infrastructure consumption.

Industry

  • Telco

IoT Data Analytics

Since we’re living in a world of interconnected devices and appliances that communicate using IP addresses and through sending variety of information between each other, most companies have figured out the way to properly utilize these devices and benefit from them. Since the costs of these hardware appliances are much lower in a last few years, we can basically monitor the whole our surroundings by collecting valuable information. But once the data is collected, it should be properly analyzed in order for the whole system to make sense. But requirements for this processing are increasing every day. Today, we are able to handle analytics in streaming, as the data generates, and to communicate the information to decision makers in real time.

Industry

  • Telco
  • Manufacturing