Unstructured Data Analytics: How to Improve Customer Acquisition, Customer Retention, and Fraud Detection and Prevention

Price: $49.95 – $34.56
(as of Dec 24,2024 22:18:32 UTC – Details)

Publisher ‏ : ‎ Wiley; 1st edition (March 13, 2018)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 432 pages
ISBN-10 ‏ : ‎ 1119129753
ISBN-13 ‏ : ‎ 978-1119129752
Item Weight ‏ : ‎ 2.31 pounds
Dimensions ‏ : ‎ 6.3 x 1.5 x 9.1 inches

Unstructured Data Analytics: How to Improve Customer Acquisition, Customer Retention, and Fraud Detection and Prevention

In today’s digital age, businesses are flooded with vast amounts of unstructured data from various sources such as social media, emails, customer reviews, and more. While this data holds valuable insights that can help businesses improve customer acquisition, retention, and fraud detection and prevention, it can be challenging to extract meaningful information from it without the right tools and strategies in place.

One key way businesses can harness the power of unstructured data is through advanced analytics techniques. By utilizing machine learning algorithms, natural language processing, and sentiment analysis, businesses can uncover patterns, trends, and anomalies in unstructured data that can inform their customer acquisition and retention strategies, as well as help detect and prevent fraudulent activities.

When it comes to customer acquisition, unstructured data analytics can help businesses identify potential leads and target them with personalized marketing campaigns based on their preferences and behaviors. By analyzing customer interactions on social media, websites, and other channels, businesses can gain a deeper understanding of their target audience and tailor their messaging to resonate with them.

Similarly, when it comes to customer retention, unstructured data analytics can help businesses identify at-risk customers and proactively address their concerns before they churn. By monitoring customer feedback, reviews, and interactions, businesses can identify common pain points and address them to improve customer satisfaction and loyalty.

Finally, when it comes to fraud detection and prevention, unstructured data analytics can help businesses identify suspicious activities and patterns that may indicate fraud. By analyzing transaction data, user behavior, and other sources of unstructured data, businesses can flag potential fraudulent activities and take proactive measures to prevent financial losses.

In conclusion, unstructured data analytics can be a powerful tool for businesses looking to improve customer acquisition, retention, and fraud detection and prevention. By leveraging advanced analytics techniques, businesses can extract valuable insights from unstructured data that can inform their decision-making and drive growth and profitability.
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