​Data Analysis

Are you curious how to influence client retention positively, or where and how to contact new customers? And yet you have the correct data at your fingertips, either in your systems or on the internet. We’ll help you extract the important data from these sources.

 

Data usage

With modern data storage possibilities it’s no problem retaining large volumes of information on your clients or competitors. But how do you extract the most important information that will help your business?​​

At Cleverlance we use and develop advanced tools for analysing and obtaining data. We are able to provide readymade analyses, integrate these tools into your systems, or provide them to you as a platform.

Social media

At present, social networks represent an interesting source of marketing data. They offer a direct interaction with users that often equals or even exceeds other established communication channels in significance. They become a key B2C and in a specific form B2B marketing tool too. Product managers, sales reps and marketing specialists keep a close eye on social networks.

We are able to select exactly those spheres on social networks that might interest you. Using the SMART tool we extract the necessary data and analyse it in detail. You’ll find out what your clients want and what they think of your products. This enables you to react strategically and swiftly to their needs before your competitors. You save time and money, which you can then use to expand the rest of your business.

SMART

SMART enables an analysis of social media as it connects content analytics tools to various social networks or discussion boards, thus creating new possibilities for evaluating unstructured data being spread by social networks, discussion boards and sites for sharing pictures, video or music.

​At present we support connectors for Facebook, Google+, Twitter, and VKontakte. Our portfolio also contains a connector for extracting the content of web discussions with a user-friendly configuration guide. SMART is also able to monitor RSS threads or the contents of websites.

 ​

Content Analytics

We look at the obtained data in different ways. We usually use IBM Content Analytics, which can analyse both structured and unstructured data.

Examples of use:

  • Using SMART, a bank gets fast feedback on its internet and mobile banking, monitors the requests and wishes of its customers, and can compare its app with those of its competitors. It is also possible to analyse internal client or other data, e.g. notes regarding bank payments.
  • A manufacturing firm uses SMART and ICAwES as systems providing advance warning of user dissatisfaction and design defects in its products, including the identification of which of a supplier’s or customer’s products the complaints most relate to. By comparing this with historical data the firm can offer repairs or improvements or react directly to specific complaints on social networks. Its rapid response makes a positive impression on the user, who will appreciate the company’s interest in their satisfaction.
  • On the basis of data from social networks firms operating in the healthcare sector can estimate current or future demand for the services they offer. By finding trends, models and deviations in unstructured data they can improve the effectiveness of clinical studies thanks to an improved selection of suitable people.