Big Data and Analytics
Publishing has always been an intuition-driven industry that depended on intermediaries to connect with its customers. However, with the surge in the volumes of digital content and the rise of self-publishing, it has become crucial for publishers to directly reach out to consumers. Publishers are now looking to generate revenue from all possible streams, and acquire and retain customers.
But before you decide to directly connect with your audience, you need to know your consumers and their preferences. Understanding your customers’ needs will enable you to deliver personalized content.
Our big data and predictive analytics offerings answer questions such as:
- What kind of genres do your readers like?
- What are your consumers’ buying habits?
- Do they only buy books by certain authors?
- What are people belonging to a particular region reading?
- What books do people of a particular region prefer?
- What books do people of a particular age group prefer?
We enable publishers like you to manage the large volumes of structured and unstructured data that is generated. The acquired data is processed and effectively delivered through reporting, dashboarding, ad hoc queries, MS Office Integration, and more. Our range of analytical tools including Predictive Modeling and Data Mining, Scorecard and Machine Learning will help you analyze the processed information.
So, leverage Big Data and Analytics to make smarter editorial decisions, provide personalized content that appeals to your consumers and increase your ROI.